Senior mechanical engineer jobs in DeSoto, TX

Job Title: Mechanical Design Engineer Type: Full-Time permanent role with Capgemini About the job you're considering We are seeking an experienced Mechanical Engineer to join our team developing automated mobile heavy equipment that removes humans from the dull, dirty, and dangerous jobs. In this role, you will take ownership of complex mechanical designs, lead cross-functional efforts, and drive the development of safe and reliable automation systems. Your role Own the end-to-end design of major subsystems and ensure successful integration into full systems. Lead cross-functional design reviews, making trade-off decisions between mechanical, electrical, and software requirements. Drive validation at the system level, ensuring performance, reliability, and safety standards are met. Guide design standards, best practices, and process improvements for the mechanical engineering function. Collaborate directly with customers, product management, and suppliers on high-impact initiatives. Mentor and develop junior and mid-level engineers, fostering a culture of technical excellence. Your skills and experience Bachelor's or master's in mechanical engineering (Master's preferred). Deep expertise in CAD software (On shape, SolidWorks, Creo, or similar), including advanced assemblies and design-for-manufacturing practices. Advanced experience in mechanical design and system integration, ideally in automation, robotics, or heavy equipment. Strong record of delivering complex systems from concept to production. Strong understanding of pneumatic and hydraulic systems Deep understanding of Stress/strain (FEA) and vibration analysis is preferred Demonstrated expertise in design-for-manufacturing, prototyping, and testing at scale. Proven ability to influence technical direction and manage competing requirements across disciplines. Life at Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: · Flexible work · Healthcare including dental, vision, mental health, and well-being programs. · Financial well-being programs such as 401(k) and Employee Share Ownership Plan · Paid time off and paid holidays. · Paid parental leave. · Family building benefits like adoption assistance, surrogacy, and cryopreservation · Social well-being benefits like subsidized back-up child/elder care and tutoring. · Mentoring, coaching, and learning programs · Employee Resource Groups · Disaster Relief About Capgemini Engineering World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has more than 55,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defence, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet. Capgemini Engineering is an integral part of the Capgemini Group, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of €22 billion. Get the Future You Want | ***************** Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Click the following link for more information on your rights as an Applicant http://*****************/resources/equal-employment-opportunity-is-the-law Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

We are seeking a visionary and technically accomplished Principal Software Engineer to lead the design and development of scalable software solutions that power our core operations. This role demands deep expertise in cloud platforms, database architecture, and fullstack development, along with a proven ability to mentor teams and drive strategic technical initiatives. Key Responsibilities Architect and lead the development of robust, scalable software applications across the full stack. Drive technical strategy and decision-making in collaboration with engineering leadership and cross-functional stakeholders. Mentor and guide software engineers, fostering a culture of technical excellence, code quality, and continuous improvement. Optimize system performance and scalability through thoughtful design, profiling, and refactoring. Oversee database design and integration, including messaging systems and high-performance SQL query optimization. Lead cloud deployment strategies using AWS and Azure, ensuring reliability, security, and cost-efficiency. Champion DevOps practices, automation, and CI/CD pipelines to streamline development and deployment workflows. Identify and resolve complex technical issues, ensuring system resilience and maintainability. Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field (Master's preferred). 10+ years of software engineering experience, with a strong track record of technical leadership. Expertise in JavaScript tech stack (React, Node.js) and modern fullstack development. Advanced proficiency in SQL, database design, and performance tuning. Deep experience with cloud platforms (AWS, Azure) and distributed systems. Strong understanding of software architecture, design patterns, and system integration. Exceptional problem-solving skills, with a strategic mindset and attention to detail. Excellent communication and collaboration abilities across technical and non-technical teams. Demonstrated experience in mentoring, leading teams, and influencing engineering culture.

Job Title: Cloud Engineer / Cloud Developer Special Note - Skill Enhancement Program: The organization offers a structured learning and upskilling program Opportunity to enhance cloud skills and earn relevant certifications (AWS/Azure/GCP, Snowflake, Databricks) while on the project Job Summary: We are seeking a skilled Cloud Engineer / Cloud Developer to design, develop, and support cloud-based solutions using modern cloud platforms. The ideal candidate will have hands-on experience with at least one major cloud provider and strong exposure to cloud data platforms. Key Responsibilities: Design, build, and deploy scalable cloud solutions on AWS, Azure, or GCP Develop and maintain cloud-native applications and services Work with cloud data platforms such as Snowflake or Databricks for data processing and analytics Implement best practices for cloud security, performance, and cost optimization Collaborate with cross-functional teams including data, DevOps, and application teams Monitor, troubleshoot, and optimize cloud infrastructure and applications Support CI/CD pipelines and automation processes Document architecture, configurations, and operational procedures Required Skills & Qualifications: Hands-on experience with one or more cloud platforms: AWS / Microsoft Azure / Google Cloud Platform (GCP) Experience with either Snowflake or Databricks Strong understanding of cloud architecture, storage, networking, and compute services Experience with APIs, data pipelines, and cloud-based data processing Knowledge of DevOps tools and practices is a plus Strong problem-solving and communication skills Nice to Have: Experience with Infrastructure as Code (Terraform, CloudFormation, ARM, etc.) Exposure to CI/CD tools (GitHub Actions, Jenkins, Azure DevOps, etc.) Prior cloud certifications (AWS, Azure, or GCP)

Direct Hire (No C2C or third-party submissions) Schedule: 2 days onsite weekly As a Senior IAM Engineer, you will design and implement solutions that address enterprise and cloud cyber risk requirements, with a primary focus on our SailPoint IdentityNow deployment. This role involves delivering SailPoint/IGA integrations with ServiceNow and connecting SailPoint to core systems such as Workday and Azure Active Directory. The ideal candidate will have deep expertise in SailPoint implementation and a strong development/engineering background-specifically in Java and object-oriented programming. Requirements: Proven experience integrating SailPoint IdentityNow with CyberArk, Azure AD, ServiceNow, and developing APIs for SailPoint functionalities. Strong proficiency with RESTful web services, SAML 2.0, SailPoint IdentityNow, OAuth, WS-Security, and other authentication/authorization protocols. Exceptional communication skills and a track record of collaborating effectively with clients and partners. Expert-level knowledge of IAM protocols, including SCIM, Web Services, WS-Fed, SAML, OpenID Connect, and OAuth. Bachelor's degree preferred, or a minimum of 7+ years of hands-on Identity & Access Management (IAM) deployment and engineering experience. Duties: Design and implement SailPoint IdentityNow or IdentityIQ (IIQ) solutions and access management frameworks to meet organizational requirements. Architect and deploy CyberArk solutions, including Enterprise Password Vault (EPV), Privileged Session Manager (PSM), and Privileged Threat Analytics (PTA). Collaborate with application teams to identify, aggregate, and correlate application/system user accounts with identity cubes in SailPoint. Configure and develop SailPoint modules such as audit, compliance, lifecycle management, and service account management. Design, develop, test, and troubleshoot custom system/application connectors within SailPoint IdentityNow. Demonstrate product expertise in SailPoint IIQ, CyberArk, Microsoft Active Directory, relational databases (Oracle, SQL Server, MySQL, DB2), Java, BeanShell, REST APIs, and web services. Diagnose and resolve technical issues related to SailPoint and CyberArk platforms. Perform regular audits and reviews to ensure compliance with security policies and standards. Create and maintain documentation for processes, procedures, and system configurations. Mentor and train junior team members on best practices and technologies related to SailPoint and CyberArk.

Lead the design and development of AI solutions, driving innovation and technical excellence from concept through implementation. Guide the build of advanced ML/LLM applications, ensuring high performance, quality, and safety. Partner closely with cross-functional teams to translate business priorities across AI ‘plays' into scalable AI products. Mentor and direct a small, high-performing engineering team to deliver impact quickly and reliably. Position Responsibilities: §Provide deep into into AI strategy and planning §Lead development of AI algorithms §Optimize performance of AI models §Collaborate cross-functionally §Stay updated with research & innovation §Drive architecture and prototyping of LLM applications §Stand up data ingestions, managing integration with wider Catalyst systems §Own delivery of use cases §Implement quality and safety framework •Senior manager •Reports to Head of AI •Leads 2-6 engineers per development pod Requirements: §Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field §Proficiency in agentic frameworks §Extensive experience in designing and implementing AI models §Strong programming skills, e.g., Python/TypeScript

🌥️ Now Hiring: Senior Azure Cloud Engineer - Texas (75039) | 6-Month Contract 🚀 We're looking for an experienced Senior Azure Cloud Engineer to join our team in Texas (75039)! This is a 6-month contract with a strong possibility of extension or full-time placement. If you're passionate about cloud automation, CI/CD, and designing modern cloud solutions - this role is for you! ⚡ 🔧 What You'll Do 🚀 Automate cloud provisioning using Terraform, Chef, Puppet, and more 🛠️ Build high-quality automation workflows aligning tech + business strategies 🤝 Embed with engineering teams to deliver best-practice CI/CD and cloud-native solutions 📦 Champion TDD/ATDD, trunk-based development, version control, and pipeline automation 🔍 Drive PoCs and perform technical feasibility studies 🐛 Troubleshoot complex production issues and drive resolution 🌐 Manage 3rd-party data streams into datacenter and cloud 🧭 Collaborate with Architecture teams on strategic cloud enablement 📈 Ensure high availability, monitoring, and operational excellence 🎓 Act as an Azure Cloud SME, guiding teams on standards and governance 🛡️ Lead compliance automation and policy-as-code initiatives 📣 Communicate risks, progress, and updates with stakeholders 🗺️ Create diagrams (system flow, data flow, sequence, UML) and architecture documentation 🧠 Required Skills & Experience 💼 7-10 years in IT ☁️ 5-7 years hands-on cloud experience (Azure, AWS, GCP) 🔹 Strong expertise with: Azure services (Event Hub, VMs, AKS, Storage, DNS, App Service, Redis, VNETs) Terraform, ARM Templates, CloudFormation Puppet, Chef, Ansible, Jenkins, Azure DevOps Python, Ruby, Linux OS Monitoring tools (DataDog, Splunk, Nagios, Zipkin, AppDynamics) SCM, CI/CD, Artifactory, Sonar, Maven/Gradle/Webpack 💡 Deep knowledge in software design, networking, storage, security, virtualization, DB arch, and Linux admin 🔗 Strong understanding of API gateways, web services, integration patterns 🔄 Experience with Agile/Scrum 🗣️ Excellent communication & documentation skills 🧭 Proven leadership, mentoring, and architectural guidance experience ⭐ Preferred 🏦 2-3 years experience in consumer banking 🔥 Experience handling high-visibility, fast-paced, on-call environments

Crossing Hurdles is a global recruitment firm that partners with US-based companies to help them hire high-quality talent across technology and business functions. We work closely with fast-growing teams to identify professionals who can deliver impact in complex, high-ownership roles. Location: Richardson, TX / Remote Employment Type: Full-Time Seniority: Mid-Senior to Senior Experience: 8+ years overall (2-3+ years in GenAI/AI systems) About the Role As a Generative AI Engineer, you will be a core member of a high-impact engineering pod, responsible for building and integrating agentic AI systems powered by advanced LLM and Generative AI technologies. You will collaborate closely with Tech Leads and Full Stack Engineers to convert AI capabilities into production-ready, enterprise-grade solutions. What You'll Be Working On Designing, developing, and deploying agentic AI systems using modern LLM frameworks Integrating Generative AI models into full-stack applications and internal workflows Collaborating on prompt engineering, model fine-tuning, and evaluation Building reusable components for multi-agent orchestration and task automation Optimizing AI inference pipelines for scalability, latency, and cost efficiency Participating in architectural discussions and contributing to the technical roadmap Must-Have Experience 8+ years of software engineering experience 2-3+ years of hands-on experience with AI/ML or Generative AI systems in production Strong experience using Python for AI/ML integration Hands-on with LangChain and LlamaIndex Experience with agentic frameworks such as LangGraph or Google ADK Understanding of Git, CI/CD, DevOps, and production-grade AI deployment Familiarity with Google Cloud Platform (Vertex AI, Cloud Run, GKE) Nice to Have Experience with embeddings, vector databases, and AI APIs Fine-tuning open-source LLMs (LLaMA, Mistral) or working with OpenAI APIs Exposure to multimodal AI systems (text, image, voice) Familiarity with low-code/no-code workflow tools Why This Role Work on real-world, production AI systems High ownership and hands-on technical impact Opportunity to build and scale enterprise-grade GenAI solutions Collaborate with senior engineers on complex AI problems

57001 Richardson, TX -onsite As a Generative AI Engineer, you'll be a core member of this pod, building and integrating agentic systems powered by cutting-edge LLM and GenAI technologies. You'll work closely with Tech Leads and Full Stack Engineers to turn AI capabilities into production-ready enterprise solutions. Key Responsibilities Design, develop, and deploy agentic AI systems leveraging LLMs and modern AI frameworks. Integrate GenAI models into full-stack applications and internal workflows. Collaborate on prompt engineering, model fine-tuning, and evaluation of generative outputs. Build reusable components and services for multi-agent orchestration and task automation. Optimize AI inference pipelines for scalability, latency, and cost efficiency. Participate in architectural discussions, contributing to the pod's technical roadmap. Core Skills & Experience Must Haves 8 years of software engineering experience with at least 2-3 years in AI/ML or GenAI systems in production Hands-on experience with Python only for AI/ML model integration. Experience with LLM frameworks (LangChain, LlamaIndex is a must) Exposure to agentic frameworks (Langgraph, Google ADK, is a must) Understanding of Git, CI/CD, DevOps, and production-grade GenAI deployment practices. Familiarity with Google Cloud Platform (GCP) - e.g. Vertex AI, Cloud Run, and GKE. Good-to-Have Experience building AI APIs, embeddings, vector search, and integrating them into applications. Experience fine-tuning open-source models (LLaMA, Mistral, etc.) or working with OpenAI APIs. Exposure to multi-modal AI systems (text, image, or voice). Familiarity with Low-Code/No-Code tools (e.g., AppSheet) for workflow integration.

As a Generative AI Engineer, you'll be a core member of this pod, building and integrating agentic systems powered by cutting-edge LLM and GenAI technologies. You'll work closely with Tech Leads and Full Stack Engineers to turn AI capabilities into production-ready enterprise solutions. Key Responsibilities Design, develop, and deploy agentic AI systems leveraging LLMs and modern AI frameworks. Integrate GenAI models into full-stack applications and internal workflows. Collaborate on prompt engineering, model fine-tuning, and evaluation of generative outputs. Build reusable components and services for multi-agent orchestration and task automation. Optimize AI inference pipelines for scalability, latency, and cost efficiency. Participate in architectural discussions, contributing to the pod's technical roadmap. Core Skills & Experience Must Haves 8 years of software engineering experience with at least 2-3 years in AI/ML or GenAI systems in production Hands-on experience with Python only for AI/ML model integration. Experience with LLM frameworks (LangChain, LlamaIndex is a must) Exposure to agentic frameworks (Langgraph, Google ADK, is a must) Understanding of Git, CI/CD, DevOps, and production-grade GenAI deployment practices. Familiarity with Google Cloud Platform (GCP) - e.g. Vertex AI, Cloud Run, and GKE. Good-to-Have Experience building AI APIs, embeddings, vector search, and integrating them into applications. Experience fine-tuning open-source models (LLaMA, Mistral, etc.) or working with OpenAI APIs. Exposure to multi-modal AI systems (text, image, or voice). Familiarity with Low-Code/No-Code tools (e.g., AppSheet) for workflow integration.

Cloud Architect (Google Cloud Platform - GCP) Client: IT Service Partner Engagement: Contract (C2C) Pay Rate: $55-57.50/hour (C2C) About the Role We are seeking an experienced Cloud Architect with deep expertise in Google Cloud Platform (GCP) to support enterprise-level cloud strategy and modernization initiatives for our client, Cognizant. This role will focus on designing, developing, and managing scalable and secure cloud solutions that enable high-performance, resilient, and cost-optimized environments. As a Cloud Architect, you will lead cloud migration efforts, define architecture standards, guide engineering teams, and ensure best practices across security, automation, and infrastructure-as-code. This is an excellent opportunity to contribute to high-impact digital transformation programs within a global technology organization. Key Responsibilities Architect, design, and implement cloud solutions on Google Cloud Platform (GCP), ensuring scalability, reliability, and performance. Lead and oversee cloud migration projects, including assessments, planning, execution, and optimization. Collaborate closely with cross-functional teams (engineering, security, DevOps, product) to ensure alignment with business and technical objectives. Develop architecture diagrams, best-practice documentation, and technical standards to support cloud adoption. Evaluate business requirements and translate them into secure, efficient cloud solutions. Maintain strong governance around cloud security, compliance, and resiliency frameworks. Leverage automation and infrastructure-as-code tools (Terraform, Ansible, Deployment Manager, etc.) to streamline deployments and operations. Monitor cloud systems and optimize performance, cost, and security posture. Provide technical leadership, mentoring, and guidance to engineering teams and stakeholders. Required Skills & Experience 5+ years of hands-on experience as a Cloud Architect or senior cloud engineer. Strong expertise across GCP services (Compute Engine, Cloud Storage, GKE, VPC, IAM, BigQuery, Cloud Run, Cloud Functions, etc.). Deep knowledge of cloud security, identity and access management, and compliance controls. Demonstrated experience leading cloud migration and modernization initiatives. Proficiency with Infrastructure-as-Code (Terraform, Deployment Manager, Ansible). Strong background in automation, CI/CD, networking fundamentals, and system design. Excellent communication, documentation, and problem-solving skills. Preferred Qualifications GCP Professional Cloud Architect certification (or equivalent). Experience in large enterprise environments or consulting organizations. Familiarity with multi-cloud or hybrid-cloud architectures.

Senior WLAN Engineer (High-Density Wi-Fi / RF Optimization) Contract | Onsite 3 Days/Week | Dallas-Area A global technology organization specializing in large-venue connectivity is seeking a Senior WLAN Engineer to join their advanced wireless engineering team. This role centers around designing, commissioning, optimizing, and supporting high-density Wi-Fi networks across complex, large-scale environments. You will collaborate closely with cross-functional engineering teams and customer stakeholders to ensure exceptional wireless performance, reliability, and user experience across mission-critical deployments. What You'll Be Doing: Design, engineer, and support enterprise-grade WLAN and Wi-Fi infrastructures across large commercial venues. Perform peer reviews of predictive RF models using industry-standard wireless design tools. Conduct onsite and remote site surveys, spectrum analysis, and performance assessments. Configure and optimize Cisco, Ruckus, and Extreme wireless platforms and their respective controllers. Provide installation guidance to field teams on access point placement, antenna selection, cabling, and wireless hardware setup. Deliver operational support, configuration updates, troubleshooting, and change implementations. Plan, commission, and optimize high-density Wi-Fi environments, including point-to-point wireless links. Implement WLAN features such as Secure Mobility, Voice over WLAN, Guest Access, and Passpoint/Hotspot 2.0. Perform RF channel planning, static assignments, and power-level optimization. Apply best practices across 2.4GHz, 5GHz, and 6GHz deployments. Evaluate wireless hardware, antennas, and related network components. Manage priorities and deliver high-quality work within project timelines. Produce detailed technical documentation for designs, standards, and operational procedures. Contribute to internal best-practice guidelines and engineering playbooks. Requirements: 6+ years of hands-on experience designing, deploying, and optimizing WLAN networks in enterprise, MSP, campus, or high-density environments. Deep expertise in Wi-Fi/RF architecture, RF optimization, and wireless troubleshooting. Experience with: Cisco Wireless Controllers (9800/8510/8540) Ruckus SmartZone / vSZ Extreme Networks wireless platforms Strong understanding of 802.11 standards (b/g/n/ac/ax/be) and point-to-point wireless technologies. Advanced troubleshooting capability in complex wireless environments. Experience deploying: Secure Mobility Voice over WLAN Guest Access Passpoint / Hotspot 2.0 Proficiency with Ekahau and modern spectrum analysis tools. Knowledge of Cisco routing/switching and TCP/IP networking (preferred). Strong customer-facing communication skills with both technical and non-technical audiences. Excellent written and verbal communication. Proficiency with standard documentation tools (e.g., Office, Visio). Degree in Computer Science, Electrical Engineering, or equivalent experience. Why This Opportunity? Work on large-scale, high-density wireless environments with significant technical impact. Join a team that values innovation, structured design, and engineering excellence. Gain exposure to next-generation wireless technologies, including the expansion of 6GHz and emerging WLAN standards. Hands-on involvement in complex RF challenges across diverse commercial venues.

Must be willing to relocate to CA, and Relocation Assistance is Available. On-site Work Location: Ontario, CA, Woodland, CA or Sacramento, CA locations Compensation Salary: $85,000-$95,000 At Clark Pacific, exciting building projects are just the beginning! As the West Coast's leading prefabricator of building systems, our talented team of professionals bridge the gap between construction and manufacturing every day, providing solutions and innovations that deliver high-performance structures with enhanced cost, schedule, and safety. It all starts with the Clark Pacific Employee Experience: top talent people working together in an environment that fosters collaboration, growth & development, and compassion. We are great people doing great things, together! We have over 60 years of experience and have successfully contributed to some of the West Coast's most iconic buildings including the Golden 1 Center, the Apple II Campus, the San Francisco 49ers stadium, and the Stanford Escondido Village Graduate Housing to name just a few. When people want to experience, quality, and a partner they can trust, they choose Clark Pacific. Repeat customers, numerous building and environmental stewardship awards, and great employees are some of the things for which we are most proud and grateful. Clark Pacific is seeking a Project Engineer to support our Woodland, CA or Sacramento, CA location. Overview of the position: At Clark Pacific, the Project Engineer is a position that facilitates the successful design, fabrication, and installation of architectural and structural building systems. Working as part of an integrated team within a specific business unit, this role applies engineering, project management, problem solving, and communication skills across all levels and disciplines within the organization, significantly contributing to the project success of some of the West Coast's most iconic and exciting prefabricated buildings. Initial activities pertaining to the Design Phase, including, but not limited to: Submittal drawings (floor plans, elevations, material specifications, connection details, Reinforcing details, General panel details, Design approvals, Reinforcement drawings, and Miscellaneous metal drawings. Manufacturing-related activities pertaining to the Production Phase, including, but not limited to: Providing complete shop drawings (panel elements, structural elements, formwork, form change studies, Birdseye, stripping and yard handling studies to facilitate manufacturing, Ensuring purchasing of all required materials and forms, Design lifting hardware, loops, rigging, brackets, and inserts for stripping and handling forces, Provide and maintain a casting schedule, Perform quality checks, and Engage in start-up meetings with manufacturing, and remain engaged throughout each project's life cycle. Field-related activities pertaining to the Erection Phase, including, but not limited to: Preparing crane studies, rigging diagrams, and the overall project erection plan as well as erection sequence, load lists, and diagrams, Coordinate shipping of miscellaneous metal, Coordinate field manpower requirements with Field & Trucking team to alignment to budget, Ensure fall protection plan is in place, Professionally represent the Company at the field erection site, and Inspect erection quality and performance to plan and budget. General project management including, but not limited to: Project performance to contract specifications, budget, and time commitments, Issue identification, problem-solving, resolution, and escalation (as necessary), Coordinate necessary and requested procedure submittals (such as welding, grouting, post-tensioning, etc., Engage with internal resources throughout the Company to contribute, learn, and develop professionally. Preferred Education and Experience BS in Civil Engineering or Mechanical Engineering, or an Engineering-related degree EIT certification preferred Core Values: Determination: Meet challenges head on! Innovation: Always look for better! Well-Being: Seek the success, health and happiness of all! Benefits: Competitive compensation, being paid on a weekly basis. Health, Dental and Vision Insurance with the options of using Kaiser and VSP for vision! Medical FSA Dependent Care FSA Employer paid life insurance paid by Clark Pacific Voluntary Ancillary Benefits such as Critical Illness, Accident Insurance and Whole life insurance. 401k matching 100% of the first 3%, then 50% of the next 2% *Benefits will be subject to a waiting period* Interested? Want to learn more? If you're a hard-working nice person who is smart and curious, and think that this position is right for you, we want to hear from you. Please apply and let's begin the journey. Welcome to Clark Pacific. Let's do great things together! Clark Pacific is an Equal Opportunity Employer Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities #LI-MV1

Gray Construction is looking to add a Japanese Speaking Project Engineer with a Mechanical Engineering background to their Charlotte, NC or Atlanta, GA office. Responsibilities Why Gray? Gray is a fully integrated, global service provider deeply rooted in engineering, design, and construction, along with smart manufacturing and equipment manufacturing services. Consistently ranked as a leader in the industry, we focus on the following markets for domestic and international customers: Food & Beverage , Manufacturing , Data Centers , Distribution , Commercial and Advanced Technology . Founded in 1960, Gray has grown to encompass a complementary family of brands designed to augment and enhance each other's specialized capabilities without gaps or redundancies. Our robust offering-which includes strategy, operational improvements, construction, extensive engineering, automation & controls, and equipment manufacturing-enables us to create one-of-a-kind solutions at the highest levels of customization, delivering unmatched precision and partnership to some of the world's most sophisticated organizations. Develop, update and monitor job progress using QMS program, including scheduling, estimating and budgeting to ensure that construction of project parallels with schedule. Perform quantity take off(s), cost estimates and bid solicitation. Provide research options and regulation information as required. Purchase and coordinate the delivery of certain materials for the project(s) ensuring optimum prices, quality and conformance to specifications and budget. Reviews and approves invoices and change orders. Negotiate with subcontractors and vendors for specific trades ensuring that all scope is encompassed. Review vendor and subcontractor shop drawing submittals for construction as directed by the supervisor. Relocate to specific job sites (if required) in order to become familiar with procurement and construction practices. Attend weekly job site meetings. Assist in the preparation of various reports to assist in the successful management of the project(s), such as: monthly red files, progress analysis/schedules, billings and status reports. Assist in the organization and maintenance of job files to ensure continuity of work flow. Submit verbal and written reports on project status to supervisor. Communicate effectively with customer, direct consultants and subcontractors on the project(s). Responsible for the communication, implementation and enforcement of Gray's safety program on site. Other duties may be assigned. Qualifications Bachelor's degree from four-year college or university and a minimum of three years related experience. Must possess basic computer skills including the ability to utilize word processing, spreadsheet and e-mail applications. May also require working knowledge of scheduling applications. The new team member should be an energetic, self-motivated individual who enjoys a team environment, as well as a passion for collaboration and professional development. If you are a high achiever striving to exceed expectations in a fast-paced innovative company, then Gray is the place for you. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Must be physically present in Birmingham office. Physical Demands & Work Environment The physical demands described here are representative of those that must be met by a team member 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 position, the team member is frequently required to stand, walk, sit, use hands and arms, reach, and talk or hear. They are regularly required to climb or balance, stoop, kneel, or crouch. Must frequently lift and/or move up to 25 lbs, and occasionally lift or move up to 100 lbs. Specific vision abilities include accurate near and distant vision. Frequently in a normal office environment where noise level is moderate and temperature/humidity is controlled. Occasionally exposed to wet and/or humid conditions, moving mechanical parts, and outside weather conditions. May be exposed to high, precarious places, fumes or airborne particles, extreme cold and/or heat, risk of electrical shock, explosives and vibrations. Noise level on the job site is normally moderate to loud. Overtime may be required. Some travel may be required. Supervisory Responsibilities Indirectly supervises the activities of subcontractors and field personnel. EEO Disclaimer Gray is proud to be an Equal Opportunity Employer and welcomes everyone to apply. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Job Title: Databricks Lead - Data Engineering As a Databricks Lead, you will be a critical member of our data engineering team, responsible for designing, developing, and optimizing our data pipelines and platforms on Databricks, primarily leveraging AWS services. You will play a key role in implementing robust data governance with Unity Catalog and ensuring cost-effective data solutions. This role requires a strong technical leader who can mentor junior engineers, drive best practices, and contribute hands-on to complex data challenges. Responsibilities: * Databricks Platform Leadership: * Lead the design, development, and deployment of large-scale data solutions on the Databricks platform. * Establish and enforce best practices for Databricks usage, including notebook development, job orchestration, and cluster management. * Stay abreast of the latest Databricks features and capabilities, recommending and implementing improvements. * Data Ingestion and Streaming (Kafka): * Architect and implement real-time and batch data ingestion pipelines using Apache Kafka for high-volume data streams. * Integrate Kafka with Databricks for seamless data processing and analysis. * Optimize Kafka consumers and producers for performance and reliability. * Data Governance and Management (Unity Catalog): * Implement and manage data governance policies and access controls using Databricks Unity Catalog. * Define and enforce data cataloging, lineage, and security standards within the Databricks Lakehouse. * Collaborate with data governance teams to ensure compliance and data quality. * AWS Cloud Integration: * Leverage various AWS services (S3, EC2, Lambda, Glue, etc.) to build a robust and scalable data infrastructure. * Manage and optimize AWS resources for Databricks workloads. * Ensure secure and compliant integration between Databricks and AWS. * Cost Optimization: * Proactively identify and implement strategies for cost optimization across Databricks and AWS resources. * Monitor DBU consumption, cluster utilization, and storage costs, providing recommendations for efficiency gains. * Implement autoscaling, auto-termination, and right-sizing strategies to minimize operational expenses. * Technical Leadership & Mentoring: * Provide technical guidance and mentorship to a team of data engineers. * Conduct code reviews, promote coding standards, and foster a culture of continuous improvement. * Lead technical discussions and decision-making for complex data engineering problems. * Data Pipeline Development & Optimization: * Develop, test, and maintain robust and efficient ETL/ELT pipelines using PySpark/Spark SQL. * Optimize Spark jobs for performance, scalability, and resource utilization. * Troubleshoot and resolve complex data pipeline issues. * Collaboration: * Work closely with data scientists, analysts, and other engineering teams to understand data requirements and deliver solutions. * Communicate technical concepts effectively to both technical and non-technical stakeholders. Qualifications: * Bachelor's or Master's degree in Computer Science, Data Engineering, or a related quantitative field. * 7+ years of experience in data engineering, with at least 3+ years in a lead or senior role. * Proven expertise in designing and implementing data solutions on Databricks. * Strong hands-on experience with Apache Kafka for real-time data streaming. * In-depth knowledge and practical experience with Databricks Unity Catalog for data governance and access control. * Solid understanding of AWS cloud services and their application in data architectures (S3, EC2, Lambda, VPC, IAM, etc.). * Demonstrated ability to optimize cloud resource usage and implement cost-saving strategies. * Proficiency in Python and Spark (PySpark/Spark SQL) for data processing and analysis. * Experience with Delta Lake and other modern data lake formats. * Excellent problem-solving, analytical, and communication skills. Added Advantage (Bonus Skills): * Experience with Apache Flink for stream processing. * Databricks certifications. * Experience with CI/CD pipelines for Databricks deployments. * Knowledge of other cloud platforms (Azure, GCP) is a plus. What We Offer: * Competitive salary and benefits package. * Opportunity to work on challenging and impactful data initiatives. * Collaborative and innovative work environment. * Professional development and growth opportunities. [Company Name] is an Equal Opportunity Employer.

Role: AI/ML Lead Engineer - FTE Job Details We're seeking a AI/ML Lead Engineer to lead the design and implementation of scalable, intelligent systems that solve sophisticated business problems. This role is pivotal in transforming data into actionable insights using advanced machine learning, generative AI, and conversational technologies. Responsibilities: Business Analytics & Intelligence: Analyze large datasets to uncover trends, patterns, and insights using statistical and machine learning techniques. Model Engineering: Design, train, and deploy ML models, classifiers, and algorithms for predictive analytics, anomaly detection, and optimization. Generative & Agentic AI: Build and operationalize generative AI and agentic frameworks using RAG pipelines, vector databases, and prompt chaining. Conversational AI Development: Architect and fine-tune intelligent virtual assistants and multi-turn dialogue systems using LLMs, transformers, and knowledge graphs. Knowledge Graph Integration: Leverage semantic modeling and graph databases to enhance contextual understanding and retrieval in AI systems. Enterprise Fine-Tuning: Apply domain-specific fine-tuning techniques (DPO, ORPO, SPIN) to align LLMs with enterprise knowledge and workflows. AI Infrastructure: Develop robust ML pipelines using AI/ML Ops tools Risk Mitigation: Identify and address risks in AI/ML systems including bias, drift, and adversarial vulnerabilities. Implement safeguards and monitoring strategies. Multi-functional Collaboration: Work with data scientists, engineers, and business collaborators to align AI solutions with strategic goals. Collaborator Involvement: Present captivating demonstrations and recommendations to business collaborators, translating technical insights into strategic suggestions. Research & Innovation: Stay ahead of the curve by exploring emerging trends in AI safety, interpretability, and bias mitigation. Expectations: To perform this job optimally, an individual will need to perform each crucial duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field. 5+ years of experience in AI/ML engineering, with a solid base in Python Proficient in ML libraries & toolkits, predictive modeling, pattern recognition, analytics, etc. Proven experience with LLMs, NLP, and generative AI frameworks Understanding of neural network architectures including CNNs, RNNs, transformers, and attention mechanisms. Expertise in knowledge graph construction and integration with conversational systems. Familiarity with MLOps, model lifecycle management, and secure data governance practices. Experience with cloud platforms (Azure, AWS, GCP), containerization (Docker/Kubernetes), and CI/CD pipelines. Strong communication and leadership skills to drive multi-functional initiatives and present to executive audiences.

IDR is seeking a Lead Power BI Developer to join one of our top clients for an opportunity in Coppell, TX. This role is integral to designing, developing, and optimizing enterprise data models, metrics, and Power BI reports that support data-driven decision-making across the organization. The ideal candidate combines Power BI visualization expertise with hands-on data engineering experience in Databricks, building scalable, high-quality data products for enterprise and self-service analytics. Position Overview for the Lead Power BI Developer: Play a key role in designing, developing, and optimizing enterprise data models, metrics, and Power BI reports. Collaborate with cross-functional teams to deliver scalable data solutions that support strategic business goals. Blend Power BI visualization skills with data engineering expertise in Databricks to build high-quality data products. Support both enterprise and self-service analytics initiatives through interactive dashboards and certified datasets. Utilize advanced SQL and data transformation skills to ensure high performance and accuracy of data and reports. Requirements for the Senior Power BI Developer: 8+ years of BI development experience, with a focus on Power BI 5+ years experience with Power BI, including DAX, Power Query, semantic modeling, and KPI framework creation. 2+ years of recent Lead experience, mentoring and leading other PowerBI Developers on the team Hands-on experience developing interactive dashboards and certified datasets for enterprise users. Advanced SQL skills for querying, validation, and performance optimization. Strong hands-on skills in Databricks, including PySpark, SQL, Delta Lake, and Unity Catalog, with the ability to collaborate with Data Engineers. What's in it for you? Competitive compensation package Full Benefits; Medical, Vision, Dental, and more! Opportunity to get in with an industry leading organization. Why IDR? 25+ Years of Proven Industry Experience in 4 major markets Employee Stock Ownership Program Dedicated Engagement Manager who is committed to you and your success. Medical, Dental, Vision, and Life Insurance ClearlyRated's Best of Staffing Client and Talent Award winner 12 years in a row.

Job description below. Data Science Skills Deploy and maintain knowledge ingestion pipelines and integration into API-based services. Strong knowledge of data cleansing, NLP, parsing tools, regex, and optimization strategies for RAG. Experience fine-tuning and deploying LLMs. Stay current on the latest GenAI trends, frameworks, and coding practices. Software Development Skills Solve complex problems by writing and testing application code, developing and validating data pipelines, and automating tests and deployment. Proficiency in designing and building in cloud environments such as Azure, GCP, or AWS. Uphold quality through DevOps pipeline, unit-, integration-, and end-to-end testing. Required Qualifications: 5+ years of experience programming with Python. 3+ years of experience in Git and version control. 3+ years of experience with a public cloud ( 4+ years using Scikit-learn 2+ years of Lang chain experience. 2+ years of LLM experience building RAG systems 1+ year experience with vector databases such as MongoDB Atlas or Pinecone Portfolio of LLM applications and sample projects 5+ years of NLP experience using tools such as NLTK, SpaCy, and Beautiful soup 2+ years of LLM experience building RAG systems at scale (10,000+ documents). 5+ years' experience in DevOps with Github Actions or similar CI/CD tools. 5+ years of writing and deploying microservices 3+ years of Kubernetes experience Strong code refactoring skills Strong debugging skills. Familiarity with concepts such as Agents, adding memory to LLMs, routing, moderating content, parsing output Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status. Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support. Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit ******************** Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

Our client is looking for a LEAD AI Engineer for their growing team. This is a full time role and not open to contract or C2C candidates. About the Role Are you ready to shape the future of enterprise intelligence through pioneering AI and machine learning solutions? We are seeking an Lead AI/ML Lead Engineer to lead the design and implementation of scalable, intelligent systems that solve complex business challenges. This role is central to transforming large-scale data into actionable insights through advanced machine learning, generative AI, and conversational technologies. As a technical leader, you will drive innovation across analytics, model engineering, and AI platforms, while collaborating closely with cross-functional teams to align solutions with strategic objectives. What You'll Do Business Analytics & Intelligence: Analyze large and complex datasets to uncover trends, patterns, and insights using statistical and machine learning techniques. Model Engineering: Design, train, deploy, and optimize machine learning models, classifiers, and algorithms for predictive analytics, anomaly detection, and optimization. Generative & Agentic AI: Build and operationalize generative AI and agentic frameworks leveraging RAG pipelines, vector databases, and prompt orchestration techniques. Conversational AI Development: Architect and fine-tune intelligent virtual assistants and multi-turn dialogue systems using large language models (LLMs), transformer architectures, and knowledge graphs. Knowledge Graph Integration: Design and integrate semantic models and graph databases to enhance contextual understanding, reasoning, and information retrieval in AI systems. Enterprise Fine-Tuning: Apply domain-specific LLM fine-tuning techniques (e.g., DPO, ORPO, SPIN) to align models with enterprise knowledge, policies, and workflows. AI Infrastructure & MLOps: Develop and maintain robust, scalable ML pipelines using modern AI/ML Ops tools and best practices. Risk Mitigation & AI Safety: Identify and address risks such as bias, model drift, and adversarial vulnerabilities; implement monitoring, governance, and safeguard strategies. Cross-Functional Collaboration: Partner with data scientists, engineers, and business stakeholders to ensure AI solutions align with organizational goals. Stakeholder Engagement: Deliver compelling demonstrations and recommendations, translating complex technical insights into clear, strategic guidance for business audiences. Research & Innovation: Stay ahead of emerging trends in generative AI, AI safety, interpretability, and responsible AI practices. What You'll Need Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. 5+ years of experience in AI/ML engineering, with strong proficiency in Python. Hands-on experience with machine learning libraries, predictive modeling, pattern recognition, and advanced analytics. Proven experience working with LLMs, NLP, and generative AI frameworks. Solid understanding of neural network architectures, including CNNs, RNNs, transformers, and attention mechanisms. Expertise in knowledge graph design and integration with conversational and retrieval-based AI systems. Familiarity with MLOps practices, model lifecycle management, and secure data governance. Experience with cloud platforms (Azure, AWS, GCP), containerization technologies (Docker, Kubernetes), and CI/CD pipelines. Strong communication and leadership skills, with the ability to lead cross-functional initiatives and present effectively to senior and executive audiences.

Project Manager - Commercial & Multifamily Construction Company: Hasen About Us At Hasen, we are schedule-driven builders who believe precision and accountability deliver results. We specialize in large-scale commercial and multifamily construction across Texas and beyond. As a trusted partner to our clients, we pride ourselves on collaboration, innovation, and a relentless focus on delivering projects on time, every time-no task left behind. Summary of Position: The Project Engineer will assist the Project Manger to ensure projects stay on schedule and on budget. They will be responsible for project administration and project documentation. The PE will also engage and supervise subcontractors and staff, and guarantee that all components of the project are in compliance. General Duties & Responsibilities: Reports to Project Manager. Assist Project Manager as required. RFI's Create and Track RFI's in Procore Analyze for Cost and Schedule Impacts Steer RFI to acceptable solution with least cost and time impact Notify Consultants of past due responses Review responses with field team Distribute RFI responses to all pertinent subs and vendors Submittals Create, Distribute and Track Submittals in Procore Request Submittal packages from Subcontractors and Track in Procurement Log Review Submittals for compliance with Plans and Specifications. Notify Consultants of past due responses Coordinate & Review Submittals with Field Team Distribute Submittal responses to all pertinent subs and vendors Sub Change Order Management Review Subcontractor Change Order Requests Ensure costs are not inflated. Compare unit / assembly rates with bids or market rates. Estimate quantities using Bluebeam to verify Subcontractor is accurate Process Sub Change Orders Procurement Log Update and Track all required materials on the project Procurement Log Input dates using Project Construction Schedule Meeting Minutes Resposible for taking and distibuting weekly meeting minutes for assigned projects Milestone Schedule Generate and maintain the Project Milestone Schedule Inspections & Reports Review Review inspection matrix from superintendent and ensure all required inspections have been obtained Review all green cards for inspection compliance Notify superinetendent & field team of any irregularities Closeout Manage closeout process. Job Qualifications: • Strong written/verbal skills and ability to communicate effectively with customers. • Ability to work with computers in word processing and property management software, preferably P6 • Strong prioritization and organizational skills • Ability to multi-task • Design-build experience a plus Job Requirements: • BS or BA in one of the following fields: Civil Engineering, Building Construction, Construction Management, Architecture, Architectural Engineering. • Reliable transportation with a valid state-issued driver's license and current liability vehicle insurance • Report to work on time with a neat and professional appearance and be courteous and pleasant to residents and associates at all times. • Ability to clear a background screen, MVR, and drug test Physical Demands: Inspection of Property will include walking and climbing of stairs. The position may require lifting, carrying, and pushing, pulling 25 lbs. Occasionally, frequently up to 15 lbs. or negligible amounts regularly. Phone usage is also required, as is the need to speak professionally and clearly. EEO Statement: Hasen Design Build is committed to providing Equal Opportunity in Employment to all applicants and employees regardless of race, color, religion, gender, age, national origin, military status, veteran status, handicap, physical or mental disability, sexual orientation, gender identity, genetic information or any other characteristic protected by law.