Machining engineer jobs in Atlanta, GA

TITLE: Machine Learning Engineer ANTICIPATED DURATION: 1+ years Rate: $70-85/hr W2 only - no C2C Responsibilities: Design and build modular, reusable AI components that can be scaled across business units Lead development of scalable RAG-based solutions for document comparison (e.g., contracts vs. invoices) Engineer multi-agent systems for intelligent task coordination and decision support Develop transcription and NLP pipelines for customer interaction analysis Build and fine-tune models using frameworks like PyTorch, Transformers, or LangChain Package models for deployment in Azure ML, ensuring scalability and maintainability Collaborate with MLOps, DevOps, and data engineering teams to align on infrastructure and deployment patterns Contribute to shared libraries, APIs, and templates that accelerate AI product delivery Ensure AI products meet enterprise-grade security and compliance standards Implement monitoring for model performance, data drift, and usage metrics Requirements: Bachelor's or Master's in Computer Science, AI, Data Science, or related field 5+ years in AI/ML engineering or applied machine learning Experience building production-grade AI systems in cloud environments (Azure preferred) Strong Python skills; experience with LLMs, RAG, and agent frameworks Familiarity with Azure ML, Databricks, and MLflow Experience with NLP, speech-to-text, and document intelligence Proficiency in SQL and big data tools (Spark, Kafka) Preferred Experience: Designing multi-agent architectures or orchestration frameworks Familiarity with LangChain, OpenAI APIs, or similar LLM tooling Experience designing front-end GUIs for chat interfaces Certifications in Azure AI or ML engineering Experience in multi-business or federated enterprise environments Agile development experience and comfort with iterative delivery The hourly pay rate range for this position is $70.00 to $85.00 (dependent on factors including but not limited to client requirements, experience, statutory considerations, and location). Benefits available to full-time employees: medical, dental, vision, disability, life insurance, 401k and commuter benefits. Synergis is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, ethnicity, national origin, religion, age, gender, gender identity, political affiliation, sexual orientation, marital status, disability, military/veteran status, or any other status protected by applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the requirements of applicable state and local laws, including but not limited to, the San Francisco Fair Chance Ordinance, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For immediate consideration, please forward your resume to *********************. If you require assistance or an accommodation in the application or employment process, please contact us at *********************. Synergis is a workforce solutions partner serving thousands of businesses and job seekers nationwide. Our digital world has accelerated the need for businesses to build IT ecosystems that enable growth and innovation along with enhancing the Total Experience (TX). Synergis partners with our clients at the intersection of talent and transformation to scale their balanced teams of tech, digital and creative professionals. Learn more about Synergis at *******************

Splunk & Power BI Integration Engineer Career Opportunity We are looking for an experienced Splunk & Power BI Integration Engineer with a strong background in integrating data visualization platforms (Power BI) with machine data analytics tools (Splunk), heavy scripting for data manipulation and automation, and developing robust, actionable dashboards for real-time insights and operational intelligence. Splunk & Power BI Integration Engineer Role & Responsibilities Platform Integration: Design, implement, and maintain seamless integrations between Splunk Enterprise/Cloud and Microsoft Power BI to facilitate robust data flow and comprehensive visualization capabilities. Scripting & Automation: Utilize scripting languages (e.g., Python, PowerShell, SQL, DAX) to automate data extraction, transformation, and loading (ETL) processes, ensuring data integrity and efficiency in moving data between systems. Data Modeling & Management: Develop and optimize complex data models within Power BI, leveraging data sourced from Splunk and other relevant systems to support sophisticated reporting and analysis. Dashboard Development: Design, build, and deploy highly interactive and visually compelling dashboards and reports in Power BI, translating complex data sets into clear, actionable insights for stakeholders across various business functions. Splunk Expertise: Develop and manage Splunk queries, reports, and alerts. Utilize Splunk Search Processing Language (SPL) for data analysis, data normalization, and to prepare data for consumption within Power BI. Performance Optimization: Monitor and tune the performance of both Power BI reports and underlying data sources, ensuring rapid data retrieval and optimal user experience. Collaboration & Training: Collaborate with data engineers, analysts, and business users to understand data visualization requirements, provide training, and promote best practices in data analytics and visualization. Documentation & Governance: Maintain comprehensive documentation for all integrations, data models, and dashboards, adhering to data governance and security policies. Splunk & Power BI Integration Engineer Required Qualifications 5+ years of proven experience in data visualization, business intelligence, or data analytics roles, specifically working with both Microsoft Power BI and Splunk platforms. Expert-level proficiency in Microsoft Power BI (DAX, Power Query/M, Data Modeling) and strong hands-on experience with Splunk Search Processing Language (SPL). Strong command of one or more scripting languages (Python, PowerShell, or similar) for automation and data manipulation tasks. Solid understanding of data warehousing concepts, ETL processes, SQL, and database management principles. Excellent analytical and problem-solving abilities, with a keen eye for detail and the ability to translate technical data into business insights. Strong interpersonal and communication skills, capable of effectively engaging with technical teams and non-technical business stakeholders. Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience. Splunk & Power BI Integration Engineer Preferred Qualifications Relevant certifications such as Microsoft Certified Power BI Data Analyst Associate, or Splunk Certified User/Power User/Architect. Experience with cloud platforms (e.g., Azure, AWS) and cloud-based data services (e.g., Azure Data Factory, Azure Synapse, AWS S3). Familiarity with integrating systems via APIs to extract and push data programmatically. Experience with version control systems (e.g., Git) for managing code and scripts. Prior experience in IT operations, security analytics, or a similar field where real-time operational intelligence is critical.

JOB DESCRIPTION Cost Engineer roles and responsibilities are to provide informed decisions about the budget and timeline of the projects as well as valuable insights that aid in the proper allocation of resources, identifying possible risks, and determining production costs. A variety of soft skills and experience may be required for the following role Please ensure you check the overview below carefully. EDUCATION University degree in Engineering or ConstructionManagement or related field, or equivalent experience CERTIFICATION / TRAINING Cost control certifications, such as CCP, are a plus. xevrcyc EXPERIENCE Ideally Ten (10) years of related Project plus Controls / Cost Controls experience but will accept someone who demonstrates expert knowledge of cost controls with few years of experience.

Salary: $130-170k DOE Full-Time | Hands-On Engineer with growth into CISO Headquartered in Atlanta GA with remote teams nationwide, we are a booming software company focusing on 3D imaging and AI-driven analytics for intelligent asset management and predictive maintenance. Due to growth and demand for our services, we are urgently looking for an experienced DevSecOps Engineer to join the team! What You'll Do Lead us through successful compliance audits and helped us build scalable, automated deployment processes. Create clear, maintainable security policies and deployment templates that reduce friction for engineering and increase customer trust. Build strong relationships across engineering and leadership, and become a go-to resource on security strategy and infrastructure reliability. What You'll Need Must-Haves 5+ years in DevSecOps, cloud infrastructure, or security engineering. Pro with Kubernetes, CI/CD (like GitHub Actions, Jenkins), and Linux. Know your way around AWS/Azure cloud security. Solid grasp of SOC 2, ISO 27001, and compliance frameworks. Experience with monitoring tools (Datadog, Prometheus, Grafana, etc.). Sharp scripting skills (Python, Bash, etc.). Great communicator, comfortable with teams and clients. Nice-to-Haves Backend dev or scripting beyond automation. Worked with data tools like Snowflake. Familiar with secure dev practices or app security. Thrived in a startup or early compliance setup. Helped with security training or awareness. Why Join Us Competitive base salary ($130-170k DOE) Comprehensive benefits package (Medical, Dental, Vision) Equity ownership in a fast-growing, mission-driven company Significant impact - work directly with CTO and leadership on critical decisions Growth potential - while not guaranteed, the right candidate will embrace this high-visibility role and grow into CISO So, if you're a senior or ambitious mid-level DevSecOps Engineer interested in taking your career to the next level, please apply today!

Senior Principal - Workforce Transformation Infosys Consulting Workforce Transformation practice is seeking experienced and visionary Organizational Change and Learning Senior Principal Consultants to lead our efforts addressing evolving challenges and opportunities in business segments, including responsibilities for sales and practice development. About the Role As a Senior Principal, you will anchor proposal preparation and engagement delivery efforts for organization change, learning and human capital tracks on major transformation programs. You will lead the development of solutions, be accountable for delivery, and guide teams on project processes and outcomes. You will collaborate and interface with senior clients daily to build confidence and guide the team in aligning deliverables to business needs while mitigating business risks. Key Roles and Responsibilities: Develop and articulate a strategic vision for addressing key industry risks, including the impact of evolving technological innovations and artificial intelligence Provide thought leadership on industry trends, challenges, and opportunities Lead the development and deployment of organization change digital solutions across the value chain Implement cloud-based platforms including S4HANA for scalable and flexible enterprise solutions, enhancing collaboration and data accessibility Ensure robust cybersecurity measures to protect enterprise data and infrastructure from cyber threats. Utilize advanced analytics and AI to understand customer behavior and preferences, offering personalized services and proactive communication Mentor and develop team members, providing opportunities for professional growth and advancement Identify and pursue new business opportunities within your designated industry sector Contribute to the development of marketing strategies and sales initiatives Skills and Experience: Extensive knowledge of a specific industry value chain including a deep understanding of emerging trends, technological innovations, and industry risks Proven successful business development Demonstrated ability to lead large-scale digital transformation projects Proficiency in digital solutions such as S4, Oracle Cloud, SNow, MDM, etc. Familiarity with enterprise integration, cloud solutions, AI, machine learning, and cybersecurity Ability to develop and execute strategic plans to drive business growth Basic Qualifications: 9+ years of end-to-end of HCM/Payroll/Time and Change experience for ERP-enabled transformation programs. At least 3 full-life-cycle technology implementations in key of HCM/Payroll/Time and/or Change roles. At least 1 full-life-cycle technology implementation in lead of HCM/Payroll/Time and/or Change tracks role. Track record of consulting sales and business development, including delivering on quantitative financial targets. Track record of consulting practice building and offerings/IP development; demonstrated thought leadership Strong oral, written communications skills, presentation skills and interpersonal skills Comfort with change and ambiguity; ability to flex approach to changing external stimuli. Ability to travel 80% plus. Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Estimated annual compensation will be as follows: In CA/ WA/ NY/CO: $241,000 - $300,000 Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:- Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off Infosys is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability EEO/About Us : About Us Infosys Consulting is the global management and technology consulting practice of Infosys, a global leader in technology services and consulting. We combine the power of time-tested methodologies, people-driven innovation and disruptive technology to enable leaders of the world's top brands pursue a path of smart transformation. Together with our clients, internal and external partners, we co-create and execute pragmatic strategies and solutions that transform organizations and define the future of business. Our dynamically growing consultancy offers our consultants: • Ability to design and implement end-to-end solutions at scale • A flat organization structure with direct access to our senior-most leaders • An entrepreneurial environment full of bright, highly motivated consultants • Opportunities for motivated consultants to impact local communities • The ability to design your career and drive your professional learning and development • A truly global culture EEO Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

-Manage new API security intake requests, ensuring proper documentation and risk assessment. -Coordinate with development teams to gather additional technical details for security reviews. -Track and ensure timely responses between security and development teams for remediation and clarifications. -Maintain and optimize application security scanning schedules for APIs, containers, and applications. -Perform and validate DAST (Dynamic Application Security Testing) and SAST (Static Application Security Testing) scans, analyze results, and drive remediation. -Oversee container security assessments, ensuring compliance with organizational standards. -Document findings, create actionable reports, and communicate risks effectively to technical and non-technical stakeholders. -Support knowledge transfer from outgoing consultants and ensure continuity of security processes. -Hands-on experience with API security testing and vulnerability management. -Strong knowledge of DAST and SAST tools (e.g., Burp Suite, OWASP ZAP, Veracode, Checkmarx, Fortify). -Familiarity with container security (e.g., Docker, Kubernetes, image scanning tools like Anchore or Trivy). -Proven ability to manage security intake processes and coordinate across multiple development teams. -Solid understanding of secure coding practices, OWASP Top 10, and API-specific security risks. -Excellent communication and stakeholder management skills for cross-team collaboration. -Ability to work independently and hit the ground running in a fast-paced environment.

Role: Gen AI/ML Engineer Mode of Work: 3 days per week onsite required Required experience: 10+ Years Key Responsibilities: Assist in designing, developing, and training machine learning models. Implement ML pipelines and support model evaluation, optimization, and deployment. Work with data preprocessing tools to clean, transform, and prepare datasets. Collaborate with senior engineers and cross-functional teams to implement ML solutions. Document model behavior, experiments, and results. Support research activities by exploring new techniques, tools, and frameworks. Mandatory Skills: Proficiency in Python. Working knowledge of TensorFlow or PyTorch. Strong understanding of machine learning algorithms and concepts. Preferred Skills: Exposure to data preprocessing tools like Pandas and NumPy. Basic understanding of cloud AI services (AWS, Azure, or GCP).

Company: Paryani Construction Reports To: Senior Project Manager / Project Manager Job Type: Full-Time / Salaried Exempt Experience Level: Entry to Mid-Level (0-3 Years) About Us At Paryani Construction, we are more than just builders; we are partners. We pride ourselves on a "Client First" approach, delivering complex construction projects with the sophistication of a large national firm and the agility of a boutique builder. Based in Atlanta, our portfolio spans high-stakes Healthcare, Industrial, Commercial, and Retail projects. We view the Project Engineer role as the launching pad for our future leaders. We invest in your growth because we want you to run your own projects one day. Position Summary We are looking for a motivated Project Engineer who is eager to learn the business of construction from the ground up. In this role, you will serve as the operational backbone of the project team, managing the critical flow of information between the field, the office, the design team, and the client. You will work under the direct mentorship of experienced Project Managers and Superintendents. This is not a role for someone who wants to sit behind a desk all day; you will be expected to engage with the job site, understand the building process, and help solve problems in real-time. Essential Duties & Responsibilities Document Control & Information Management Submittals: Manage the submittal process from start to finish. Review shop drawings for compliance with contract documents before submitting them to the Architect/Engineer. RFIs: Draft and process Requests for Information (RFIs). Coordinate with the field team to clarify constructability issues and track answers from the design team. Meeting Management: Prepare agendas and take detailed minutes for weekly Owner/Architect/Contractor (OAC) meetings and internal team meetings. Project Management Support Procurement: Assist in the buyout process, scoping subcontractor bids, and tracking material lead times to ensure materials arrive on site when needed. Financials: Assist the Project Manager with monthly pay applications, change order pricing, and invoice coding. Closeout: Lead the closeout process by collecting warranties, O&M manuals, and as-built drawings to deliver a complete turnover package to the client. Field Support & Quality Control Site Presence: Regularly walk the site with the Superintendent to track progress, document safety observations, and understand the sequence of work. Punch List: Manage the punch list process towards the end of the project, coordinating subcontractors to complete outstanding items efficiently. Photos: Maintain a comprehensive photo log of the project progress (using Procore or similar tools). Qualifications Education: Bachelor's Degree in Construction Management, Civil Engineering, Architecture, or related field is required. Experience: 0-3 years of experience. Previous internships in commercial construction are highly preferred. Technical Skills: Proficiency in Microsoft Office (Excel, Project) and PDF editing software (Bluebeam Revu). Familiarity with construction management software (Procore) is a major plus. Communication: Strong written skills are essential (you will be writing many professional emails and RFIs). Attitude: A "sponge" mentality-eager to learn, willing to ask questions, and proactive in finding ways to help the team. Physical Demands & Work Environment Hybrid Role: Work is split between the corporate office and active job sites. Mobility: Must be able to walk job sites, climb temporary stairs/ladders, and wear Personal Protective Equipment (PPE). Lifting: Occasional lifting of project documents or materials (up to 20 lbs). Why Paryani? Career Path: We have a clear promotion track. Successful Project Engineers are groomed to become Assistant Project Managers and Project Managers. Mentorship: You won't get lost in the shuffle. You will work directly with senior leadership who know your name and care about your development. Compensation: Competitive salary, performance bonuses, and comprehensive benefits package (Medical, Dental, Vision, 401k). Paryani Construction is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability, or genetic information.

The Facilities Engineer is an integral part of the Facilities Team and has various roles and responsibilities. They are responsible for overseeing capital projects, maintaining the electronic drawing system, supporting validation activities, and reviewing and approving facilities and maintenance preventative maintenance documents. The Facilities Engineer is responsible for writing and executing engineering investigations, deviations and incidents and work closely with impacted departments. This role includes supervising staff, performing hands-on maintenance tasks, coordinating with contractors, and ensuring building compliance with safety, FDA, OSHA, and quality regulations and preventative maintenance schedules. Key Duties and Responsibilities: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Oversee Facility operations of HVAC, plumbing, electrical, and other mechanical systems. Develop and implement preventative facility maintenance schedules for all equipment and building systems. Conduct routine inspections to identify, diagnose, and resolve facility issues. Supervise and assign work to facilities technician(s) and external contractors; monitor work progress and quality. Assign minor repairs and maintenance in plumbing, electrical, HVAC, carpentry, and general handyman tasks to Facility Technicians and/or collaborate with Maintenance to resolve matters. Maintain records of building inspections, activities, and repairs. Ensure all systems and equipment comply with safety codes, building regulations, and operational standards. Manage department budgets; obtain estimates and approve cost-effective solutions. Respond promptly to emergency repair needs to minimize downtime and disruptions. Ensure that cosmetic and structural improvements, including painting, furniture repair, floor care, and general upkeep are done. Consulted on office moves, installations, and space planning activities as needed. Maintain a clean and orderly environment, including exterior areas such as parking lots and gutters. Ensure that facility equipment and supplies are transported between facilities. Support other departments with facility related needs and projects. Foster a safe working environment by enforcing safety protocols and housekeeping practices. Use and manage a digital work-order system to track facility projects, requests, and activities. Collaborate with Engineering and Maintenance and other departments to address facility matters as needed to minimize the use of contractors Lead engineering investigations into performance of site manufacturing, packaging, facilities and utilities systems, and development of proposals to optimize performance. These investigations can either be carried out internally, or by contractors. Execution of engineering investigations into site requirements to meet business opportunities, regulatory requirements, etc. Development of proposals to meet site goals and objectives. These investigations can either be carried out internally, or by external contractors. Development of site engineering procedures to ensure effective and compliant execution of engineering work on site. Development of engineering documentation required by manufacturing and packaging operations, facilities, utilities, and/or new projects. This will include development of specifications, test protocols, procedures, etc. Project management for new site projects. For large projects [generally those involving a third-party engineering contractor], this may include design guidance, review and approval, and liaison with site functions, as site engineering representative. Provide Engineering assistance to Validation during protocol execution Regular and reliable attendance on a full-time basis. Responsible for exhibiting professional behavior with both internal and external business associates that actions with department and company culture. Other duties as assigned. Qualifications, Education, and Experience Required: High school diploma or equivalent; technical training or certifications in HVAC, electrical, or plumbing preferred. 10+ years of facility/engineering/maintenance experience, with supervisory responsibilities. Strong knowledge of HVAC, plumbing, electrical, landscaping, automation, management, and general building systems. Familiarity with safety standards, building codes, and facility compliance requirements (ISO, FDA regulations). Ability to read and interpret technical manuals, blueprints, and diagrams. Strong organizational, troubleshooting, communication, and leadership skills. Ability to analyze and resolve complex problems in terms of fundamental engineering and / or scientific principles. Ability to apply engineering and / or scientific principles to the development of procedures, specifications and standards for systems and equipment new to the site. Ability to execute, document and present investigations into engineering-related issues. Ability to apply project management principles to new projects and plan, organize and execute such projects. Knowledge of engineering aspects of pharmaceutical manufacturing facilities. Understanding of the requirements for commissioning and qualification of systems. Understanding of cGMP requirements for manufacturing. Knowledge of computerized Facilities and Maintenance management systems. Bilingual (English/Spanish) a plus. Physical Demands: Ability to sit, stand, walk, climb ladders, stoop, kneel, and lift up to 50 lbs. You must be able to work on rooftops, above ceilings, and in tight spaces to inspect and repair equipment. Vision requirements include close, distance, peripheral, and depth perception. Language Skills: English required, bilingual (Spanish) a plus. Physical Demands: This position is regularly active and requires standing, walking, bending, kneeling, stooping, crouching, crawling, and climbing all day. The employee must frequently lift and/or move items over 50 pounds. Specific vision abilities required by this job includeclose vision, distancevision, color vision,peripheral vision, depth perception, and the ability to adjust focus. Work Environment: Non-temperature-controlled warehouse, non-temperature-controlled production floor,temperature-controlled office. This position may require occasional evening or weekend work to address facility issues or emergencies. Other Duties: Please note this job description is not designed to coveror contain a comprehensive list of activities, duties or responsibilities that required the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. AAP/EEO Statement: CHEMENCE provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

JSG is searching for a Principle PMIC Design Engineer for our client's Northeast Atlanta, GA area operation. This is a direct hire position with competitive salary, outstanding benefits and a great opportunity to join an industry leader. Work in a cross functional team environment, leading and contributing to the PMIC product development Full custom analog design of blocks such as PLLs, oscillators, bandgap references, LDOs, Buck / Boost, voltage regulators, high voltage detection circuits, ADCs, DACs, high speed comparators, etc. Provide feasibility studies for size/performance/schedule Plan and coordinate with verification team to develop models for your blocks and to ensure full validation coverage Provide floor-planning and support integration of digital & analog circuits at the full-chip level Work in cooperation with the methodology and CAD groups Interface between different teams to ensure successful path to production Coordinate with other stakeholders in identifying needs and improvements Qualifications 8+ years of Analog/Mixed Signal IC Design Experience PMIC design experience BSEE required (MSEE/PhD preferred) Experience of contributing towards several silicon tapeout cycles from spec to mass production Design experience in CMOS/BiCMOS process is required Experience working with small geometry BCD processes is a plus Ideal candidate will have solid understanding of switching regulators, integrated power MOSFETs and drivers, LDOs, precision amplifiers, oscillators, bandgap references, ADCs, DACs, high-speed comparators Proficient with Spectre and other analog simulators Experience with Cadence schematic capture Experience with Linux Strong organizational skills and attention to detail Good written/verbal communication skills & ability to take ownership Knowledge of Verilog, Verilog-ams or other modeling / coding languages Working knowledge of revision control tools such as SOS or SVN Interested Candidates Should Apply Now! *** Johnson Service Group (JSG) is an Equal Opportunity Employer. JSG provides equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, marital status, protected veteran status, or any other characteristic protected by law. #ESJ200

Ready to Drive Innovation in Medical Imaging? My client, a leader in the industry, is looking for a Sr. Field Service Engineer in Covington, GA. Salary Range: $67,000 - $101,000 + Bonus Travel: Up to 75% within the territory Benefits: Health, Vision, Dental, Retirement, PTO What's in it for you Work with cutting-edge medical imaging technology in a dynamic, customer-facing role Comprehensive benefits package starting Day 1, company car, 401K, PTO Excellent training and opportunity for upward mobility Be a technical leader and mentor for new hires Play a key role in new product launches and complex problem resolution About the Role As a Sr. Field Service Engineer, you'll provide: On-site emergency service, preventive maintenance, and installation support for radiology equipment Ensure customer satisfaction and contribute to service revenue goals Manage inventory and maintain company car/tools in top condition Generate sales leads and assist with service contracts Mentor new hires and serve as a role model for technical excellence Support new product launches and resolve complex technical issues What We're Looking For Required Qualifications: Associate's Degree in Electronics, IT Networking, Computer Science (or equivalent military training) with 4 years of experience OR Bachelor's Degree with 2 years of experience Ability to read and interpret technical manuals and schematics Strong technical trade skills (soldering, electrical installation, troubleshooting) Proven success in promoting field service programs and achieving sales/service objectives Proficiency with tools such as ServiceMax, Salesforce, and CRM systems Ability to work in a fast-paced, self-directed environment Valid driver's license and ability to travel extensively Preferred Qualifications: Experience in Medical Device or Radiology industry Ready to make an impact in healthcare technology? Apply today and join a team that values expertise, innovation, and customer care!

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500 . Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description About the team: The Enterprise Architecture & AI group, part of the Digital Technology Organization at ServiceNow is a innovation group building intelligent software using the latest advanced technologies to enable end-to-end, industry-leading work experiences for customers and employees. We are a group of researchers, applied scientists, engineers, and product managers with a dual mission. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future. About the role: You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to require a technically knowledgeable user to produce even simple results. We are taking a completely fresh approach with the expectation that any user, regardless of technical knowledge, can use the AI/ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 5k+ enterprise customers around the world. Build the best cloud-based AI/ML solutions to power intelligent enterprise services Collaborate daily with a team of like-minded developers, product managers and quality engineers to produce quality software Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users About Digital Technology We're not yesterday's IT department-we're Digital Technology. The world around us keeps changing and so do we. We're redefining what it means to be IT with a mindset centered on transformation, experience, AI-driven automation, innovation, and growth. We're all about delivering delightful, secure customer and employee experiences that accelerate ServiceNow's journey to become the defining enterprise software company of the 21st century. And we love co-creating, using, and highlighting our own products to do it. Ultimately, we strive to make the world work better for our employees and customers-when you work in ServiceNow Digital Technology, you work for them. Qualifications To be successful in this role you have: 8+ years of hands-on experience in ML/AI engineering, with a strong focus on building and deploying AI/GenAI applications. Proficiency in Python (ML libraries, GenAI/LLM frameworks) and Java (enterprise application development, OOP). Practical experience developing with LLM frameworks such as LangChain, LangGraph, and vendor SDKs/APIs (OpenAI, Anthropic, etc.). Experience in using Al productivity tools such as Cursor, Windsurf, etc. is a plus or nice to have. Experience with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization is a plus or nice to have. Strong skills in prompt engineering and designing agentic reasoning pipelines. Solid understanding of ML evaluation techniques and experience in implementing model monitoring & metrics. Proven ability to debug and optimize inference pipelines for performance and cost efficiency. Strong problem-solving skills with the ability to work in fast paced, agile development environments. Bonus: Contributions to open-source projects, blogs, or technical papers in LLM/GenAI. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

Job Type: Permanent Build a brilliant future with Hiscox Member of the Hiscox US Data Engineering practice Senior Machine Learning Engineer Reporting to: Director of Data Engineering The Role: You will be a machine learning specialist, part of our US Data Engineering chapter. You will work closely with our data engineers and data scientists to bridge the gap between model development and production deployment. You will be hands-on developing integrations, infrastructure, and deployment pipelines for machine learning models. You should be comfortable reading, questioning, and interpreting machine learning models to ensure they are deployed appropriately and effectively What You'll Be Doing: Developing and maintaining infrastructure for deploying ML models in both real-time and batch environments. Building and maintaining endpoints to serve ML models. Collaborating with cross discipline engineers to integrate ML services into user-facing applications. Working with platform engineers to align with infrastructure best practices and ensure scalable deployments. Reviewing pull requests and contributing to code quality across our teams. Monitoring and maintaining cloud-based ML services, ensuring reliability and performance. Designing and implementing CI/CD pipelines for ML model deployment. Writing unit tests and following software engineering principles to ensure code is maintainable. Contributing to the development and improvement to our model registry, including tracking and implementation of model discontinuation upgrades and model monitoring. Essential Skills: Solid experience as a Python developer, ideally in a machine learning engineering context Hands-on experience of integrated cloud data science platforms particularly Databricks or GCP Good understanding of core data science principles and understanding of challenges of migrating research code into production code. Strong understanding of software engineering best practice. Experience with infrastructure as code tools like Terraform Experience with CI/CD tools and Git-based development workflows. Understanding of API operations monitoring and logging. Strong problem-solving skills and ability to work independently on technical tasks. Experience collaborating with technical and non-technical team members in agile Scrum ceremonies - roadmap planning, feature workshops, backlog elaboration, code review. Desirable Skills: Beyond the required skills we are open to individuals of diverse talents. Experience with additional technologies, real-time data platforms or an insurance background are all valued. We want to know how your unique abilities can contribute to our team. Our Technology: We operate in a diverse technical landscape and are looking for flexible engineers who can adapt to and use many different tools. We would not expect any engineer to be familiar with the entire tech stack - no engineer can. Instead, we seek people with a good understanding of data structures and algorithms and the ability to apply this knowledge in learning new tools. We are building a modern cloud data platform to realise the full value of our data. It will be based on Databricks and use dbt for transformation. For machine learning we are still building our capabilities. We are likely to deploy models in our Databricks environment using tools like MLflow. We will explore the offerings of other cloud providers e.g. GCP to ensure we are using the most advanced tools available. We take a DevOps approach and strive for continuous integration / continuous deployment. We use Azure Pipelines to deploy our code. We deploy infrastructure the same way using Terraform and Docker. Our technology landscape is not complete. Our engineering teams will be able and required to help us build out our technology stack to fill gaps and embrace new opportunities. What Hiscox USA Offers: Competitive salary and bonus (based on personal & company performance) 401(k) with competitive company matching Comprehensive health insurance, vision, dental and FSA plans (medical, limited purpose, and dependent care) Company paid group term life, short- term disability and long-term disability coverage 24 Paid time off days, 2 Hiscox Days, 10 paid holidays, and ability to purchase 5 PTO days Paid parental leave 4 week paid sabbatical after every 5 years of service Financial Adoption Assistance and Medical Travel Reimbursement Programs Annual reimbursement up to $600 for health club membership or fees associated with any fitness program Company paid subscription to Headspace to support employees' mental health and wellbeing Recipient of 2024 Cigna's Well-Being Award for having a best-in-class health and wellness program Dynamic, creative and values-driven culture Modern and open office spaces, complimentary drinks **Please note that this position is hybrid and requires two (2) days in our office weekly** Salary Range: $120-$180k The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. About Hiscox: As an international specialist insurer, we are far removed from the world of mass market insurance products. Instead, we are selective and focus on our key areas of expertise and strength - all of which is underpinned by a culture that encourages us to challenge convention and always look for a better way of doing things. We insure the unique and the interesting. And we search for the same when it comes to talented people. Hiscox is full of smart, reliable human beings that look out for customers and each other. We believe in doing the right thing, making good and rebuilding when things go wrong. Everyone is encouraged to think creatively, challenge the status quo and look for solutions. Scratch beneath the surface and you will find a business that is solid, but slightly contrary. We like to do things differently and constantly seek to evolve. We might have been around for a long time (our roots go back to 1901), but we are young in many ways, ambitious and going places. Some people might say insurance is dull, but life at Hiscox is anything but. If that sounds good to you, get in touch. About Hiscox US: Hiscox USA was established in 2006 to focus on the needs underserved and specialty commercial clients via both the regional broker and direct distribution channels and is today the fastest-growing business unit within the Hiscox Group. Today, Hiscox USA has a talent force of about 400 employees mostly operating out of 6 major cities - New York, Atlanta, Dallas, Chicago, Los Angeles and San Francisco. Hiscox USA offers a broad portfolio of commercial products, including technology, cyber & data risk, multiple professional liability lines, media, entertainment, management liability, crime, kidnap & ransom, commercial property and terrorism. You can follow Hiscox on LinkedIn, Glassdoor and Instagram(@HiscoxInsurance) #LI-RM1 Work with amazing people and be part of a unique culture

We are supporting a client in the Risk and Insurance industry in the search for a driven Machine Learning Engineer to help us bring software development rigor to the ML life-cycle within the business insurance industry. As an experienced innovator partnering with the marketing and growth teams, this is a massive opportunity to drive high growth impact at a hyper-growth startup. Your job is to be a full-stack ML engineer, supercharging all aspects of scaling Machine Learning at NEXT: application design and architecture, scalable deployment of inference solutions as APIs, data enrichment as a service, and model monitoring. You will be joining an innovative division of based in Atlanta: Data Labs. The mandate of Data Labs is to build software and data solutions that meaningfully impact marketing, funnel, risk, and servicing/claims experiences. What You'll Do: Empower our team of data scientists to rapidly develop and deploy ML solutions. Leverage software engineering best practices to create and deploy data-intensive and machine learning inference products. Understand the data and dig deep to extract actionable insights. Think creatively and outside the box to answer desired experimental questions as well as expose opportunities to create business value. Work cross-functionally with marketing, engineering, product, senior management, and external partners. What We Need: 3+ years of hands-on experience in the complete software development life-cycle with demonstrated professional experience with machine learning Strong command of Python and the standard web development frameworks (e.g. Django, Flask, FastAPI) & fluency with database technologies, SQL, and Python data packages Demonstrated experience deploying models and applications to a cloud environment using tools like Docker and Kubernetes. Demonstrated experience with software engineering best practices, such as Test-Driven Development and continuous integration/deployment pipeline Experience with ML-oriented data pipelining tools (dbt, Airflow, Prefect, DVC, etc.) Unstoppable Qualities: Experience in the insurance industry (strong fintech/lending experience will also be considered) Experience with GitLab Relocation assistance: Limited assistance

As a Contract Machine Learning Engineer within Value Driven Solutions' Agentic AI Practice, you will lead the design, development, and deployment of scalable ML models tailored to accelerate value creation in private equity-backed portfolio companies (portcos) with revenues ranging from $50M to $2B. Reporting directly to portfolio operating executives and PE deal teams, you will embed on-site (up to 75% travel) to identify high-impact use cases-such as predictive maintenance for industrial assets, dynamic demand forecasting for consumer goods, pricing optimization for SaaS platforms, and working capital improvements through anomaly detection-and transform them into production-ready solutions that deliver measurable EBITDA uplift (targeting >$5M annual impact per initiative). Your role will involve conducting data maturity assessments across disparate legacy systems, architecting end-to-end ML pipelines using Python, TensorFlow/PyTorch, and MLOps tools like Kubeflow and MLflow, and ensuring seamless integration with existing ERP/CRM environments (e.g., SAP, Salesforce). You will collaborate with cross-functional teams-including data engineers, domain SMEs, and C-suite stakeholders-to prototype models, validate performance via A/B testing and ROI modeling, and scale deployments across multiple portcos while adhering to governance standards for data privacy (GDPR/CCPA) and model explainability (SHAP/LIME). Success in this role requires a proven track record of shipping ML solutions in high-stakes, resource-constrained environments, such as PE transformations or industrial operations, where you've quantified business outcomes like 15-25% reductions in downtime or 10-20% revenue uplift from optimized pricing. This position demands hands-on expertise in handling unstructured industrial data (IoT sensors, supply chain logs), cloud-based orchestration (AWS SageMaker, Azure ML), and agile iteration to align with 100-day value-creation plans. Ideal candidates thrive in fast-paced, matrixed organizations, bridging technical execution with executive storytelling to secure buy-in for AI adoption. With Value Driven Solutions' white-glove support, you'll gain direct exposure to PE partners and a network of portco leaders, positioning you for long-term engagements or permanent transitions. Key Responsibilities: Lead ML maturity assessments and co-develop 12-24 month AI roadmaps aligned with portfolio theses (e.g., operational efficiency, revenue growth). Build and optimize supervised/unsupervised models for core use cases, ensuring >90% accuracy and low-latency inference for real-time applications. Drive MLOps best practices: CI/CD pipelines, model monitoring/drift detection, and federated learning for multi-portco data silos. Quantify and report impact via dashboards (Tableau/Power BI), presenting to boards on metrics like NPV, IRR, and payback periods. Mentor junior engineers and facilitate knowledge transfer to portco teams for sustained post-contract ownership. Required Qualifications: Bachelor's/ Master's in computer science, Data Science, or related field (PhD preferred for advanced modeling). 5+ years in ML engineering, with 2+ years in PE/industrial contexts delivering >$5M quantified value. Proficiency in Python/R, scikit-learn, TensorFlow/PyTorch, SQL/NoSQL, and cloud platforms (AWS/GCP/Azure). Experience with edge ML (e.g., TensorFlow Lite) and ethical AI (bias mitigation, fairness audits). Strong communication skills for translating complex models into executive summaries and workshops. Preferred Experience: Prior work with Ignition SCADA or IIoT integrations in manufacturing/food & beverage sectors. Familiarity with ISA-95 standards for enterprise-system interoperability. Consulting background in digital transformation, with exposure to third-party vendor evaluations. To apply: Send CV + short note on the specific impact you've driven with ML in private-equity or industrial settings to *****************************. Include role title in subject line and your availability. Leadership Solutions - Value Driven Solutions Accelerating Agentic AI adoption in private equity portfolios

We're hiring a Machine Learning Engineer to build and deploy scalable ML solutions that deliver measurable business outcomes. You'll manage cloud infrastructure, automate ML pipelines, and collaborate across teams to support end-to-end ML development. This fast-growing data product company partners with enterprise clients across industries to deliver innovation-driven digital solutions. What will you be doing? * Build and maintain cloud-based ML infrastructure (AWS: SageMaker, EC2, S3, Lambda) * Automate ML pipelines for data ingestion, training, and deployment * Deploy production ML models for use cases like pricing, operations, and prediction * Develop NLP and conversational AI tools * Work with cross-functional teams to deliver end-to-end solutions * Optimize workflows for performance and cost * Set up monitoring and failover systems to ensure reliability * Stay updated on MLOps, ML tools, and cloud practices Must Haves: * Bachelor's or Master's in Computer Science, ML, or related field * 3+ years in ML engineering or related software roles * Proficient with AWS, Python, SQL, and ML frameworks (e.g., TensorFlow, PyTorch) * Experience with ML orchestration (Airflow, Kubeflow), CI/CD, Docker, Kubernetes * Strong grasp of data processing tools (Spark, Pandas) and ML deployment best practices Nice-To Haves: * Experience in pricing, recommendations, or real-time analytics * Background in NLP and A/B testing * Familiarity with streaming data and experimentation tools

About Oversight Oversight is the world's leading provider of AI-based spend management and risk mitigation solutions for large enterprises. Based in Atlanta, GA, Oversight works with many of the world's most innovative companies and government agencies to digitally transform their spend audit and financial control processes. Oversight's AI-powered platform works across our customers' financial systems to continuously monitor and analyze all spend transactions for fraud, waste, and misuse. With a consolidated, consistent view of risk across their enterprise, customers can prevent financial loss and optimize spend while strengthening the controls that improve compliance. Learn More. Position Overview: We are seeking a skilled and forward-looking ML Engineer with experience in Large Language Models (LLMs), generative AI, and agentic architectures to join our growing R&D and Applied AI team. This role is critical in helping Oversight deliver the next generation of agentic AI systems for enterprise spend management and risk controls. The ideal candidate has a strong foundation in machine learning, modern deep learning frameworks, and data pipelines, coupled with hands-on experience experimenting with LLMs, small language models (SLMs), multi-agent frameworks, and retrieval-augmented generation (RAG). You will work closely with AI/ML researchers, data engineers, and product teams to design, implement, and optimize models that power autonomous exception resolution, anomaly detection, and explainable insights. This is a hands-on engineering role where you will not only build and scale ML systems but also actively contribute to cutting-edge applied research in agentic AI. Core ML/LLM Engineering Contribute to the design, training, fine-tuning, and deployment of ML/LLM models for production. Implement RAG pipelines using vector databases. Work with frameworks like LangChain, LangGraph, MCP to prototype and optimize multi-agent workflows. Develop prompt engineering, optimization, and safety techniques for agentic LLM interactions. Integrate memory, evidence packs, and explainability modules into agentic pipelines. Work hands-on with multiple LLM ecosystems: OpenAI GPT models (GPT-4, GPT-4o, fine-tuned GPTs). Anthropic Claude (Claude 2/3 for reasoning and safety-aligned workflows). Google Gemini (multimodal reasoning, advanced RAG integration). Meta LLaMA (fine-tuned/custom models for domain-specific tasks). Data & Infrastructure Collaborate with Data Engineering to build and maintain real-time and batch data pipelines that serve ML/LLM workloads. Conduct feature engineering, preprocessing, and embeddings generation for structured and unstructured data. Implement model monitoring, drift detection, and retraining pipelines. Leverage cloud ML platforms (AWS Sagemaker, Databricks ML) for experimentation and scaling. Research & Applied Innovation Explore and evaluate emerging LLM/SLM architectures and agent orchestration patterns. Experiment with generative AI and multimodal models to extend capabilities beyond text (images, structured financial data). Collaborate with R&D to prototype autonomous resolution agents, anomaly detection models, and reasoning engines. Translate research prototypes into production-ready components. Collaboration & Delivery Work cross-functionally with R&D, Data Science, Product, and Engineering to deliver business-aligned AI features. Participate in design reviews, architecture discussions, and model evaluations. Document processes, experiments, and results effectively for knowledge sharing. Mentor junior engineers and contribute to ML engineering best practices. Education, Experience and Skills Required Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field. 3+ years of experience building and deploying ML systems. Proficiency in Python and libraries such as PyTorch, TensorFlow, Scikit-Learn, Hugging Face Transformers. Hands-on experience with LLMs/SLMs (fine-tuning, prompt design, inference optimization). Demonstrated experience with at least two of the following ecosystems: OpenAI GPT models (chat, assistants, fine-tuning). Anthropic Claude (safety-first AI for reasoning and summarization). Google Gemini (multimodal reasoning, enterprise-scale APIs). Meta LLaMA (open-source, fine-tuned models). Familiarity with vector databases, embeddings, and RAG pipelines. Ability to work with structured and unstructured data at scale. Knowledge of SQL and distributed data frameworks (Spark, Ray). Strong understanding of ML lifecycle: data prep, training, evaluation, deployment, monitoring. Preferred Qualifications Experience with agentic frameworks (LangChain, LangGraph, MCP, AutoGen). Knowledge of AI safety, guardrails, and explainability techniques. Hands-on experience deploying ML/LLM solutions in cloud environments (AWS, GCP, Azure). Experience with CI/CD for ML (MLOps), monitoring, and observability. Familiarity with anomaly detection, fraud/risk modeling, or behavioral analytics. Contributions to open-source AI/ML projects or publications in applied ML research.

PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses. Join us. At PagerDuty, you'll tackle complex problems, collaborate with kind and ambitious people, and help build a more equitable world-all in a flexible, award-winning workplace. We are looking for a senior-level machine learning engineer who is passionate about collaborating with data scientists, product managers and engineers alike. As part of our team, you will help us accelerate the development of new and extension of existing products powered by AI and Machine Learning. We expect you to lead the design and deployment of solutions to host our AI agents, models and services in production, in alignment with our design patterns and best practices to support the business. This is a very senior position that requires strong skills in communication, cross team collaboration and technical leadership ability. Be a key team member and help continue to drive the AI First future of PagerDuty. You will be working on high-impact / high-visibility projects and have the opportunity to apply your knowledge to help shape how we enable our various products to leverage the latest machine learning and generative AI capabilities. You'll succeed by being an effective team player, independently managing time, and demonstrating emotional intelligence as you navigate stakeholder relationships championing and scoping our cross-team initiatives. How you contribute to our vision: Key Responsibilities Build and improve the capabilities that enable and accelerate our machine learning (ML), generative and agentic AI based products Partner with applied scientists and product teams, effectively sharing engineering context and working together to support larger initiatives Provide guidance, technical leadership, and mentoring to junior members of the team Understand how our products are used and proactively lead the delivery of improvements and enhancements based on customer feedback Remain current on the latest ML engineering developments, incorporating new solutions to our existing workflow, continuously improving user experience Basic Qualifications 7+ years of experience building, designing, and shipping machine learning solutions to production Experience working with Product teams, ensuring and driving a timely delivery Proven software development track record with Python (knowledge of Elixir is a bonus) Demonstrated experience with data modeling, database design, extract transform load (ETL) processes, working with unstructured data, and cloud-based data infrastructure Experience with workflow management tools such as Apache Airflow and AI/ML observability/evaluations products such as Arize, Datadog, etc Familiarity with ML processes (exploration, training, deployment), technologies (services, packages), infrastructure (AWS), ML techniques (e.g., natural language processing, deep learning, generative AI) Experience with with pre-trained Large Language Models (LLMs) and AI agents in a production environment Passionate about data/ML engineering and displaying effective communication when conveying technical concepts and collaborating with across teams Preferred Qualifications Familiarity with container orchestration systems (e.g., Kubernetes) Ability to think through a complex problem, build a solution, and execute that solution with effective change management skills Strong sense of ownership and accountability. Ability to design large scale solutions and effectively drive the implementation work across teams and products to solve big customer challenges History of presenting technical work at industry conferences, workshops, or meetups, with a demonstrated enthusiasm for sharing knowledge and engaging with the broader MLE community Experience leveraging AI tools and techniques to enhance development workflows, automate routine tasks, and improve overall engineering productivity The base salary range for this position is 150,000 - 252,000 USD. This role may also be eligible for bonus, commission, equity, and/or benefits. Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience. Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process. Hesitant to apply? We encourage you to submit your resume even if you don't meet every requirement. We value potential and consider each candidate's full professional story. Whether you're exploring a career change or taking your next step, we look forward to reviewing your application. If this just isn't the right role or time - sign up for job alerts! Where we work PagerDuty operates a hybrid work model with offices in 8 major cities: Atlanta, Lisbon, London, San Francisco, Santiago, Sydney, Tokyo, and Toronto. While we offer flexibility within our established locations, we cannot employ candidates residing in: Location restrictions: Australia: Northern Territory, Queensland, South Australia, Tasmania, Western Australia Canada: Alberta, Manitoba, Newfoundland, Northwest Territories, Nunavut, PEI, Quebec, Saskatchewan, Yukon United States: Alaska, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Oklahoma, Rhode Island, South Dakota, West Virginia, Wyoming Candidates must reside in an eligible location, which vary by role. How we work Our values guide how we support customers, collaborate with colleagues, develop products, and foster a culture of belonging. They define not just our actions, but what it means to be Dutonian. People Leaders at PagerDuty are responsible for creating high performance environments that drive accountability. PagerDuty has four key dimensions that define our Leadership Impact: Lead Self, Lead the Team, Lead the Business, and Lead the Future. Each dimension has three associated competencies to give leaders a shared language for guiding their development, career, promotion, and succession planning discussions. Our Manager Expectations serve as a practical guide for managers to understand their responsibilities, prioritize their efforts, and drive engagement and performance. What we offer As a global organization, our total rewards approach is competitive with industry standards and aligned with local laws and regulations. Learn more, including country-specific offerings, on our benefits site. Your package may include: Competitive salary Comprehensive benefits package Flexible work arrangements Company equity* ESPP (Employee Stock Purchase Program)* Retirement or pension plan* Generous paid vacation time Paid holidays and sick leave Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws)* Paid volunteer time off: 20 hours per year Company-wide hack weeks Mental wellness programs *Eligibility may vary by role, region, and tenure About PagerDuty PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. The PagerDuty Operations Cloud is an AI-powered platform that empowers business resilience and drives operational efficiency for enterprises. With a generative AI assistant at its core, PagerDuty empowers teams to detect and resolve issues in real time, orchestrate complex workflows, and drive continuous improvement across their digital operations. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses PagerDuty is Great Place to Work-certified™, a Fortune Best Workplace for Millennials, a Fortune Best Medium Workplace, a Fortune Best Workplace in Technology, and a top rated product on TrustRadius and G2. Go behind-the-scenes on our careers site and @pagerduty on Instagram. Additional Information PagerDuty is an equal opportunity employer. PagerDuty does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status. Your privacy is important to us. By submitting an application, you confirm that you have read and understand PagerDuty's . PagerDuty is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. Should you require accommodation, please email accommodation@pagerduty.com and we will work with you to meet your accessibility needs. PagerDuty uses the E-Verify employment verification program.

Job Description The Automation and Robotics Engineer is responsible for developing, programming, commissioning, troubleshooting, and supporting robotic automation systems used in poultry-processing operations. This position plays a key role in integrating robotics with conveyors, vision systems, sensors, end-of-arm tooling, and other automated process equipment to improve yield, throughput, and safety in wet, wash-down environments. The role requires hands-on interaction with industrial robots, motion systems, PLCs, and networked control architectures, as well as close collaboration with mechanical, electrical, and software engineers, plant operations, and field service teams. The focus of this position during the first year will be learning a specific robotic application and supporting the final stages of development including extensive onsite support during testing. RESPONSIBILITIES: Programming & Integration Develop, configure, and optimize robot motion programs for poultry processing applications. Integrate robotic systems with PLCs, HMIs, safety systems, conveyors, machine control, machine vision, and other peripherals, accessories, and devices typical of advanced robotic systems. Use simulation, offline programming, and advanced program development tools to develop applications and robot programs. Testing & Commissioning Participate in system factory acceptance tests (FAT), site acceptance tests (SAT), and field commissioning. Develop and execute test plans to verify system throughput, accuracy, and compliance. Document and validate control logic, safety interlocks, and recovery procedures. Validate cycle times, accuracy, and reliability under production conditions. Document test results and coordinate corrective actions with design and controls teams. Troubleshooting & Support Diagnose and correct faults in robot motion, communication, safety circuits, and peripheral equipment. Provide on-site and remote support to production and field service teams to resolve operational issues. Perform robot calibration, backup, restore, and maintenance routines. Continuous Improvement & Design Feedback Collaborate with product development to improve robotic cell design, end-effector performance, and wash-down survivability. Evaluate new technologies such as AI-based vision systems, collaborative robots, or line tracking. Support root-cause analyses and reliability improvement initiatives. Analyze system data to identify sources of downtime, mechanical misalignment, or software inefficiencies. Recommend and implement software updates, tooling modifications, or algorithmic improvements. Collaborate with mechanical design to enhance washdown robustness, reliability, and maintainability. General Develop and execute project plans related to core responsibilities Plan and manage work with the goal of on-time delivery Work collaboratively with customers and across the company in a manner representing the company with the highest integrity and focusing on meeting customer needs. POSITION REQUIREMENTS: Required Bachelor's degree in Electrical, Mechanical, Mechatronics, Robotics, Automation, or Systems Engineering from an ABET accredited program. Minimum 5 years' experience in robotic systems development including on-site testing and support in industrial settings. Proven experience integrating robots with PLCs, sensors, and vision systems. Proficient in Fanuc robots and controllers. Fanuc certification preferred. Experience with Rockwell Automation (Allen-Bradley) PLCs and Cognex vision systems. Ability to read schematics, troubleshoot robot programming and electrical component issues. Must be able to work collaboratively and execute autonomously with a high degree of transparency and integrity, considering multiple sources of input and executing the consensus direction. Team oriented; able to interact with all internal and external stakeholders. Proficient in Microsoft Office (Word, Excel, and PowerPoint). Knowledge/Skills Proficiency in programming and troubleshooting industrial robots (Fanuc, ABB, Yaskawa, or similar). Strong understanding of PLC programming (Allen-Bradley, Siemens) and HMI integration. Familiarity with Ethernet/IP, DeviceNet, and other industrial communication protocols. Experience with servo drives, pneumatic controls, and machine vision or force sensors. Ability to interpret mechanical/electrical drawings, wiring diagrams, and control schematics. Skilled in motion control tuning, tool frame setup, and coordinate system calibration. Strong analytical and problem-solving skills; methodical troubleshooting approach. Ability to work in processing environments (cold, humid, wash-down). Excellent communication skills for cross-functional collaboration and technical training delivery. Oral and written fluency in English. Willingness to travel domestically for up to 50% of time. Location: Gainesville, GA or Springdale/Rogers, AR with willingness to relocate to Gainesville, GA in the future. Physical Requirements The physical demands described herein are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is frequently required to sit; use hands to finger, handle, or feel; and talk and hear. The employee is regularly required to stand, walk, and reach with hands and arms. The employee must occasionally lift and/or move up to 50 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Ability to work for extended periods of time at a workstation on a computer or similar device. Occasional extended periods of standing, bending, kneeling. Working Conditions This job operates in both an office setting and a manufacturing warehouse. This role routinely uses standard office equipment, hand tools, and material handling equipment. Employment with Cantrell-Gainco is contingent upon successfully completing both a pre-employment background check and a drug screening. All candidates hired must be able to provide proper documentation of their eligibility to work in the US (I-9 form). Cantrell-Gainco is an Equal Opportunity Employer - Minorities / Females / Disabled / Veterans (M/F/D/V)