Machining engineer jobs in Georgia

GenAI Engineer / GenAI Developer Advocate 100% hands-on engineer with strong enablement & communication skills. Primary Focus: • Help internal development teams adopt GenAI tools • Build MVPs / starter code / SDKs • Run workshops and enablement sessions (not just close tickets) This is not a traditional app dev role where they own a single product. It's a central GenAI enablement/engineering role supporting multiple product teams. ________________________________________ MUST-HAVE REQUIREMENTS (NON-NEGOTIABLE) Use this for hard filtering and first-pass screening. 1. GenAI Engineering Experience • Hands-on experience with GenAI tools such as (examples; at least one is required): o GitHub Copilot o Cursor o Windsurf o Other comparable AI coding assistants / GenAI dev tools • Can describe how they used these tools in real engineering scenarios (not just playing around). 2. Strong Prompt Engineering Skills • Can demonstrate structured, thoughtful prompt design: o Designing prompts for complex tasks o Iterating and refining prompts based on output o Understanding of context, system vs user prompts, constraints, etc. • Able to explain prompt tradeoffs, guardrails, and failure modes in their own words. 3. 100% Hands-On Engineer Current or very recent role must be hands-on coding (not pure architecture, not pure management). • Comfortable: o Building prototypes / MVPs o Writing starter code / SDKs o Integrating GenAI tools into development workflows • They should want to stay close to code and tooling. 4. Exceptional Communication & Enablement Ability This is critical and should be a heavy screen. Candidate must: • Be able to run workshops and training / enablement sessions for engineering teams. • Be able to lead discovery sessions with dev managers: o Understand their use case o Suggest solutions o Decide whether to build or connect to an existing solution • Be comfortable presenting to senior leadership and cross-functional stakeholders. • Speak clearly, logically, and confidently; able to explain complex technical GenAI concepts in simple terms. Think: Engineer + Teacher / Developer Advocate, not a heads-down coder who avoids people. 5. Mindset & Focus • Enablement mindset, not “ticket taker.” o They help teams adopt tools, don't just close JIRA tickets. • Obsessed or deeply interested in: o GenAI o LLMs o New AI dev tooling • Curious, self-directed learner who keeps up with the rapidly evolving GenAI ecosystem. ________________________________________ STRONGLY PREFERRED / NICE-TO-HAVE Use these for priority ranking, not hard rejection. Technical Preferences • Cloud-heavy background, preferably AWS: o Experience building or deploying solutions on AWS. • Comfort with modern programming languages such as: o Python o Go / Golang o Java o Node.js o .NET • Experience with: o MCP (Model Context Protocol) or similar context orchestration o Agentic AI / workflow orchestration Domain & Legacy Experience (Nice-to-Have) • Any exposure to mainframe or SAP / legacy systems is a plus (their tools are still catching up to AI capabilities). • Prior ADP experience can be helpful if they can speak to: o Real-world dev pain points o Past challenges and gaps in engineering workflows o How GenAI could address those gaps Soft-Skill and Career Profile • Has done internal talks, meetups, brown-bag sessions, or training for other engineers. • Has built personal or side projects with LLMs / GenAI (for themselves, family, etc.). • Shows critical thinking about: o Code quality with AI o When to trust / not trust AI-generated code o How to evaluate outputs (not just produce them)

Role:-SAP Successfactor Engineer/Report Designer Duration:-6+ Months to Hire RESPONSIBILITIES: • Manages reporting and data governance initiatives within SAP SuccessFactors, with primary responsibility for Story Report development, Report Center restructuring, and Role-Based Permission (RBP) configuration. • Accountable for delivering high-quality, governed reporting solutions as well as support Employee Central (EC) integrations. • Contribute to strategic planning for future reporting and analytics enhancements. • Develop and maintain reporting frameworks, enforce governance standards, and ensures data integrity and compliance across SuccessFactors reporting assets. • Serve as a key liaison between HR, IT, and analytics stakeholders, providing day-to-day direction on reporting priorities and execution. • Prepare technical documentation, status reporting, and strategic recommendations related to reporting architecture and system stewardship • Core project work includes Story Report creation, Report Center cleanup and optimization, and EC integration reporting support. REQUIRED SKILLS: • SAP Certified Application Associate - SAP SuccessFactors People Analytics: Reporting • Hands-on expertise with SAP SuccessFactors, including Story Reports, Report Center, and RBP • Experience supporting Employee Central (EC) integrations • Strong understanding of reporting governance and data stewardship practices • Excellent oral and written communication skills, with proven ability in analysis, planning, decision-making, and problem-solving

Role: Manufacturing Engineer Location: Columbus, GA Shift: 1st Duration:Full Time Key Responsibilities 1. PFMEA & Control Plan Development Lead cross-functional PFMEA workshops, calculate RPNs, implement controls, and document action plans. Ensure recommended corrective and preventive actions are developed, tracked, verified, and integrated into Control Plans for sustainable impact. 2. Root-Cause Analysis & CAPA Trigger RCA protocols (e.g., 5 Whys, Fishbone, 8D) in response to SPC alerts, QC escapes, scrap, or assembly issues. Clearly define problem statements, investigate timeline and contributing factors, and execute cross-functional RCA sessions . Develop SMART corrective/preventive actions with clear ownership, deadlines, and verification through trial runs, audits, and SPC. Monitor CAPA effectiveness and update documentation, work instructions, PFMEA, Control Plans, and training based on outcomes. 3. New Product Introduction & Capital Equipment Integration Design and implement manufacturing processes for new products, working closely with design engineering and Integrated Product Teams. Lead equipment procurement, installation, qualification, and release into production. Validate new processes via First Article Inspections and ensure software systems reflect all CAPA-driven updates. 4. Data Analysis & Process Capability Track key process metrics (Cp/Cpk, SPC), identify trends, and trigger RCA when performance dips or escapes occur. Propose and execute projects targeting cost reduction and defect prevention, backed by data. 5. Shop-Floor Optimization & Documentation Partner with hourly workforce, tool designers, QA, systems, and assembly teams to apply CAPA-driven process improvements, reducing QC/PC escapes and assembly cost. Maintain and update work instructions, SOPs, tooling specs, and QAD/process control documentation to reflect RCA outcomes. Familiarity with technical data such as blueprints, quality documents, specs, etc. Provide operational engineering/quality support to minimize production downtime and improve cost, delivery, quality and assist with problem solving during manufacturing related investigations. 6. EH&S & Ergonomics Leadership Support all EH&S initiatives by driving safe processes across all production product lines. Proactively identify environmental, ergonomic, and human factor risks. Drive RCA and implement corrective/preventive actions to eliminate root causes of incidents or near misses. 7. Lean Manufacturing & Continuous Improvement Actively participate in CORE/lean initiatives (e.g., Kaizen, 5S, Gemba), applying root-cause tools throughout. Sustain improvements via iterative RCA and CAPA integration. 8. Collaboration & Coaching Work closely with QA, IS, IPT, systems designers, and program assembly partners. Mentor team members on RCA and CAPA methodologies to build organizational problem-solving capability. Qualifications Bachelor's degree in Engineering (mechanical, industrial, manufacturing, or related) + 1-5 years of manufacturing/process/quality engineering experience. Proven experience with PFMEA, Control Plan development, SPC, RCA (5 Whys, Fishbone, 8D), and CAPA implementation. Proficient in office software (Excel, Word, PowerPoint, Outlook) and familiarity with manufacturing/PFMEA systems. Strong analytical and problem-solving mindset with the ability to lead investigations and deliver corrective actions. Excellent communication and collaboration skills across multiple teams. U.S. Citizenship required for government contract access.

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!

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).

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.

A fast-growing, highly regulated financial services organization is launching a major digital transformation and is seeking a Senior Application Security Engineer to build and scale a brand-new Application Security program from the ground up. This is a true greenfield opportunity for an experienced AppSec professional who wants to set the vision, define strategy, and influence secure development practices across the enterprise. You'll work closely with engineering, product, and security leadership to embed security into the SDLC, deploy modern AppSec tooling, and shape a strong culture of secure coding. Responsibilities: Own and mature the enterprise Application Security roadmap, from strategy through execution. Partner with development and product teams to integrate security throughout the SDLC. Select, implement, and optimize AppSec tools (SAST, DAST, SCA, IaC scanning, CI/CD integrations). Define and track KPIs, metrics, and dashboards to measure program effectiveness. Build, mentor, and lead a growing team of Application Security engineers. Act as a trusted advisor for secure design and architecture across the organization. Collaborate with Security Operations on incident response, threat analysis, and remediation guidance. Qualifications: 5+ years of experience in information security, with a strong focus on Application Security. Hands-on experience as a developer or working in deep partnership with engineering teams. Strong knowledge of secure coding practices, threat modeling, SDLC, CI/CD pipelines, and automation. Comfort operating in highly regulated environments and influencing stakeholders at multiple levels. Why This Role Greenfield ownership - design the AppSec program your way. High visibility and direct influence on enterprise security strategy. Opportunity to work with modern tools, automation, and cloud-native development teams. Ideal for someone looking to grow toward AppSec leadership while staying hands-on.

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!

-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.

Purpose The Lead Developer is responsible for guiding the technical direction and hands-on development of enterprise applications that power the company's retail operations. This role combines architectural leadership with full-stack development expertise, ensuring solutions are secure, scalable, and aligned with business goals. The Lead Developer partners closely with cross-functional teams to deliver high-quality software across the full SDLC - from design and development to testing, deployment, and support. Additional duties may be assigned, and functions may be modified, according to business necessity. Major Responsibilities Technical Leadership Provide architectural guidance and technical leadership for Java/Spring Boot and React-based applications deployed in Azure Cloud. Enforce coding standards, architectural patterns, and best practices for the development team. Lead design reviews, code reviews, and performance optimization efforts. Mentor developers to strengthen technical skills, code quality, and solution design. Evaluate emerging technologies and frameworks to ensure the team stays current with industry trends. Full-Stack Development Design, develop, and maintain backend services (Java/Spring Boot) and frontend interfaces (React/TypeScript). Build and integrate RESTful APIs across enterprise systems including ERP, CRM, OMS, POS, and ecommerce platforms. Develop and maintain data solutions using PostgreSQL, MongoDB, CosmosDB, and Oracle. Participate actively in Agile ceremonies to plan and deliver high-impact features. Cloud, DevOps, and Automation Lead cloud-native application design and deployment using Azure, Kubernetes, and Docker. Partner with DevOps to implement CI/CD pipelines, infrastructure as code (Terraform), and automated testing. Improve observability, reliability, and security through logging, monitoring, and alerting best practices. Champion security-first design and compliance with SOX-related controls. Collaboration and Delivery Collaborate with product managers, UX designers, QA engineers, and data teams to deliver robust solutions. Translate business requirements into technical specifications and architectural solutions. Support ongoing operational stability, release readiness, and incident resolution. Drive technical excellence in every phase of the SDLC. Innovation and Continuous Improvement Explore emerging technologies such as AI integration, API-first architecture, and event-driven systems. Advocate for continuous learning, experimentation, and process improvement within the development organization. Minimum Eligibility Requirements Education: Bachelor's degree in Computer Science, Software Engineering, or a related discipline. Experience: 6+ years of professional software development experience, including 3+ years in a leadership or senior technical role. Proficiency in Java, Spring Boot, React, and modern cloud development practices. Experience deploying and operating applications in Azure/AWS/GCP using Kubernetes and Docker. Strong understanding of RESTful APIs, event-driven design, and enterprise system integration. Experience with CI/CD, Terraform, and observability platforms. Working knowledge of PostgreSQL, MongoDB, CosmosDB, Oracle or other DB platforms. Skills & Competencies: Strong technical mentorship and leadership capabilities. Excellent communication and cross-functional collaboration skills. Deep understanding of modern software architecture, design patterns, and testing methodologies. Security-conscious and quality-driven mindset. Ability to manage priorities and deliver in a fast-paced, Agile environment. Preferred Qualifications Experience in retail, ecommerce, or supply chain environments. Familiarity with AI/ML services and their integration into enterprise systems. Experience with streaming platforms (Kafka, Azure Event Hub). Contributions to open-source or internal development frameworks. Familiarity with Databricks, Snowflake, Google BigQuery, etc. a plus Knowledge of monitoring platforms such as Dynatrace, Datadog, New Relic, Splunk, etc. Working Conditions (travel, hours, environment) Limited travel required including air and car travel While performing the duties of this job, the employee is occasionally exposed to a warehouse environment and moving vehicles. The noise level in the work environment is typically quiet to moderate. Physical/Sensory Requirements Sedentary Work - Ability to exert 10 - 20 pounds of force occasionally, and/or negligible amount of force frequently to lift, carry, push, pull or otherwise move objects. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Benefits & Rewards Bonus opportunities at every level Non-traditional retail hours (we close at 7p!) Career advancement opportunities Relocation opportunities across the country 401k with discretionary company match Employee Stock Purchase Plan Referral Bonus Program 80 hrs. annualized paid vacation (full-time associates) 4 paid holidays per year (full-time hourly store associates only) 1 paid personal holiday of associate's choice and Volunteer Time Off program Medical, Dental, Vision, Life and other Insurance Plans (subject to eligibility criteria) Equal Employment Opportunity Floor & Decor provides equal employment opportunities to all associates and applicants without regard to age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, disability, veteran status, genetic information, ethnicity, citizenship, or any other category protected by law. This policy applies to all areas of employment, including recruitment, testing, screening, hiring, selection for training, upgrading, transfer, demotion, layoff, discipline, termination, compensation, benefits and all other privileges, terms and conditions of employment. This policy and the law prohibit employment discrimination against any associate or applicant on the basis of any legally protected status outlined above.

We are looking for an accomplished & hands-on AI Architect to lead the vision, architecture, and implementation of AI-driven capabilities. The role involves defining AI strategy, system design, model lifecycle management, data architecture, and integration of AI components with existing microservices. The architect will guide technical teams, evaluate emerging AI technologies, and ensure scalable, secure, and high-performance AI solutions. Roles and Responsibility Define and own the AI/ML architectural roadmap, system design, and end-to-end implementation strategy. Architect and implement AI capabilities such as: Generative AI & RAG systems, embeddings, vector search Semantic & NLP-based search across large-scale learning content Recommendation systems for personalized learning paths Conversational AI / Chatbots / AI Tutor Content classification, auto-tagging, clustering Predictive analytics and insight dashboards Establish AI pipelines, MLOps governance, and model lifecycle management (training, deployment, monitoring, feedback loops). Integrate AI solutions with Sunbird microservices, backend APIs, and Elasticsearch/vector DB infrastructure. Work closely with product leadership to translate requirements into scalable AI solutions. Mentor and guide AI developers, data scientists, and engineering teams. Ensure performance, observability, security, privacy, and responsible AI compliance. Evaluate and integrate next-generation models, cloud services, frameworks, and open-source tools. Support solution design and technical architecture documentation. Required Skills & Experience 10+ years of software engineering experience with at least 5 years in AI/ML system design & architecture. Deep expertise in: NLP, Transformer models, LLMs, embeddings, vector search PyTorch / TensorFlow / Hugging Face / LangChain / LlamaIndex RAG pipelines, semantic search, recommendation systems Vector DBs: Milvus / Qdrant / Pinecone / Weaviate MLOps (model deployment, CI/CD, monitoring, feature store) Strong proficiency with Python, Java or Node. js, API development and microservices. Experience with Elasticsearch, distributed databases (Cassandra / Postgres). Hands-on experience with Docker, Kubernetes, CI/CD pipelines, cloud services (AWS/Azure/GCP). Strong understanding of security, data privacy, responsible AI, and scalability in enterprise environments. Experience working with high-traffic, large-scale platforms.

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.

:" Our roster has an opening with your name on it We're looking for a Machine Learning Engineer to join our growing team and help design, build, and deploy machine learning systems that power real-world applications. In this role, you'll work closely with data scientists, engineers, and product managers to bring models from experimentation to production and ensure they perform reliably at scale. You'll contribute across the ML lifecycle-including feature engineering, model training, evaluation, deployment, and monitoring-while growing your skills in software development, ML Ops, and scalable infrastructure. If you're excited by this challenge and want to work within a dynamic company, then we'd love to hear from you. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs. THE GAME PLAN Everyone on our team has a part to play ML Pipeline Development * Collaborate with data scientists to implement and optimize machine learning models for production use. * Develop and maintain pipelines for data preparation, training, and model deployment. * Build tools and services to support real-time and batch inference workloads. Collaboration & Execution * Translate product and business requirements into ML-driven solutions. * Participate in agile workflows, including sprint planning, code reviews, and design discussions. * Work with engineers and analysts to ensure data integrity and efficient feature computation. Quality & Reliability * Implement monitoring and alerting to track model performance and detect issues such as data drift. * Write maintainable, testable code and follow best practices in version control and documentation. * Help automate training, deployment, and retraining workflows using ML Ops tools. THE STACK: Databricks, AWS, Spark, Python, MLFlow, (Generally available ML Libraries), Terraform, Github, Buildkite THE STATS What we're looking for in our next teammate * 2-4 years of experience in software engineering, machine learning, or data science. * Proficiency in Python, with exposure to ML libraries (Scikit-learn, TensorFlow, or PyTorch). * Solid understanding of data structures, algorithms, and software engineering principles. * Hands-on with SQL and comfortable working with large datasets. * Familiarity with distributed computing (Apache Spark preferred). * Exposure to ML deployment & monitoring practices or strong interest in learning them. * Bonus: experience with Databricks, MLflow, or similar ML Ops tools. * Experience with cloud services (AWS preferred, GCP or Azure also valuable). Preferred Qualifications * Experience with containerization (Docker, Kubernetes is a plus). * Familiarity with orchestration/ML Ops tooling (SageMaker, MLflow). * Understanding of model evaluation metrics and techniques for improving generalization. * Interest in or experience with real-time ML systems, recommendation engines, or NLP. About You You might be a great fit if you often ask yourself questions like: * "How do complex systems actually work end to end, and how can I make them better?" * "What makes software reliable, and how do you design for that from the start?" * "Where's the balance between moving fast and building things that last?" * "How do small changes in code or data ripple out into big user or business impacts?" * "What can I automate today that will save everyone headaches tomorrow?" * "How do different roles (engineers, data scientists, product managers, etc.) fit together to ship something meaningful?" * "What skills should I grow next if I want to level up from strong engineer to strong ML engineer?" This role will join our Personalization team, working directly with senior engineers to: * Build and optimize ML pipelines and feedback loops for our flagship recommender systems. * Improve observability, monitoring, and on-call reliability across models. * Partner with FinOps to optimize Spark jobs and cloud resource usage. * Adopt and integrate AI Foundations platform tools into workflows. This person will have mentorship from Staff ICs and the opportunity to grow, directly contributing to the revenue-driving backbone of the company. ABOUT FANDUEL FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America's #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry's unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product. In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico. The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company's affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia. FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT). PLAYER BENEFITS We treat our team right We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level. FanDuel is an equal opportunities employer and we believe, as one of our principles states, "We are One Team!". As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included. The applicable salary range for this position is $116,000 - $152,250 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws. FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email ********************. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. #LI-Hybrid "}

Machine Learning Engineer Roles and Responsibilities Lead the end-to-end architecture and development of machine learning solutions. Implement machine learning algorithms into services and pipelines to be consumed at large-scale. Engineer large scale development systems using full-stack, distributed shallow and deep-learning technologies and big data technologies. Architect and develop a highly scalable, distributed, multi-tenant set of microservices backend solutions. Be a part of a highly productive and creative engineering team What Are We Looking For in This Role? Highly Preferred: MS or PhD in Machine learning, Computer Vision, Natural Language Processing or a related field. 5+ years of experience architecting and developing AI and machine learning applications Ability to think critically, question assumptions and devise solutions to challenging technical problems. Hands-on experience with one or more of the following technologies: --Machine Learning: TensorFlow, PyTorch, Spark ML/MLib etc. --ML Technologies: NLP, Computer Vision and related technologies. --Back end web-services: Java, Spring Boot, Python, Kubernetes, Docker - Big Data technologies: Kafka, Apache Spark, MapR, Hbase, Hive, HDFS etc. Minimum Qualifications Bachelor's Degree Relevant Experience or Degree in: Computer Science, Management Information Systems, Business or related field Typically Minimum 6 Years Relevant Exp Four-year college degree and 6 or more years, and/or a high school diploma with 8 or more years professional experience with full life cycle design and development

Application Instructions: External Applicants: Please upload your resume on the Apply screen. Your application will automatically populate your resume details, and you may verify and update data on the My Information page. IMPORTANT: Please review the job posting and load ALL documents required in the job posting to the Resume/CV document upload section at the bottom of the My Experience application page. Use the Select Files button to add multiple documents including your Resume/CV, references, cover letter, and any other supporting documents required in the job posting. The "My Experience" page is the only opportunity to add your required supporting document attachments. You will not be able to modify your application after you submit it . Current Mercer University Employees: Apply from your existing Workday account. Do not apply from the external careers website. Log in to Workday and type Jobs Hub in the search bar. Locate the position and click Apply. Job Title:Staff Mechanical/Aerospace Engineer Department:MERC College/Division:Mercer Engineering Research Center Primary Job Posting Location: Warner Robins, GA 31088-7810Job Details:Mercer Engineering Research Center (MERC), a research institute of Mercer University, provides high quality engineering, scientific, and technical support services to both government and private industry customers. MERC has an immediate opening for Mechanical/Aerospace Engineer(s) to support its Aircraft Directorate. Duties of the position may include: - Analysis of airframe structures using standard principles, supported by finite element analysis as necessary - Fatigue and fracture analysis of airframe components - Analysis of flight data to support regime recognition, fleet usage characterization, and component remaining useful life - CAD modeling and development of technical data packages to support repair design and analysis - Design of laboratory load tests and instrumentation to support validation of repair design and structural models REQUIRED QUALIFICATIONS: - U.S. Citizenship is required - Successful candidates must be capable of obtaining a DoD security clearance - This position requires a minimum B.S. or higher degree in Mechanical or Aerospace Engineering from an ABET accredited institution. Final rank will be determined on the qualifications of the selected candidate. Application must include a cover letter and resume. DESIRED QUALIFICATIONS: * Experience with finite element modeling and analysis * Experience reading engineering drawings * Experience with instrumentation design and post-processing of test data * Ability to multi-task and learn new skills quickly * Ability to work independently or in multi-functional teams * Good verbal and written communication skills * Experience with NX or MSC Nastran, HyperWorks pre- and post-processing tools or FEA solvers, Python and/or MATLAB, or SolidWorks is a plus BENEFITS OF WORKING AT MERC MERC is a non-profit research institute of Mercer University, a private university founded in 1833. Established in 1987 in Warner Robins, GA, MERC employs more than 200 engineers, scientists, professors, and support staff, who provide sustainable research solutions to government agencies, the Department of Defense, and commercial customers around the world. Warner Robins and the middle GA area are located 90 miles south of Atlanta and within easy driving distance of both the beach and mountains. The area is known for its Southern-style music, food, and restaurants and has a rich cultural and art presence, along with excellent health care and schools. MERC offers a generous benefits package including health and dental insurance, retirement, tuition reimbursement, vacation/sick leave accrual, and holiday pay. Why Work at Mercer University Mercer University offers a variety of benefits for eligible employees including comprehensive health insurance (for self and dependents), generous retirement contributions, tuition waivers, paid vacation and sick leave, technology discounts, schedules that allow for work-life balance, and so much more! At Mercer University, a Bear is more than a mascot: it's a frame of mind that begins with a strong desire to make the most out of your career. Mercer Bears do not settle for mediocrity or the status quo. If you're seeking an environment where your passion and determination are embraced, then you want to work at Mercer University. For more information, please visit: ********************************** Scheduled Weekly Hours:40 Job Family:Staff MERC Exempt EEO Statement: EEO/Veteran/Disability

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.

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

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)