The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing facilities in partnership with the computational science community. We help researchers solve
Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join
Job Description At EisnerAmper, we look for individuals who welcome new ideas, encourage innovation, and are eager to make an impact. Whether you’re starting out in your career or taking your next step as a seasoned
Principal Enterprise Architect Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired bya collaborative community of colleagues around the
Chicago, IL (preferred) | NYC considered | Hybrid onsite | Direct Hire / Permanent A leading global professional services firm is making one of the most significant AI infrastructure investments in its industry — committing hundreds
Humana is seeking a Lead AI Factory Engineer to build, scale, and lead our AI delivery ecosystem across the Finance enterprise. You will drive end-to-end AI product delivery and remove barriers to enable rapid, responsible AI
What youll do here: Lead all aspects of critical systems for delivering innovative education technology platforms. Specifically, you will lead technology teams in our Internal Operations business unit which includes our Content Systems, Content workflows and
# Senior Manager, AI Platform & DeliveryApplylocations: Chicago, Illinoistime type: Full timeposted on: Posted Todayjob requisition id: R2026-009231The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the
Director, PEPI Technology Services AI Team [CTO Domain] Alvarez & Marsal (A&M) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving
Job Description: About the Role: DevOps Engineer will work within the DevOps Engineering team to support various CLIENT Digital engineering teams in their efforts to develop, build, test, and deploy their solutions to the cloud. Typical tasks include managing AWS IAM, troubleshooting Client / Cloud connection issues, and working with engineers on CI/CD and Infrastructure as Code tasks. Required Skills • At least 5-7 or more years of experience in a DevOps Engineer role • At least 5+ or more years of Amazon Web Services (AWS) cloud experience • Proficient with GitHub and GitHub Actions for source control and YAML-based continuous integration / continuous delivery (CI/CD) systems. • Proficient writing and deploying Amazon Web Services cloud infrastructure using AWS CloudFormation templates. • Strong AWS experience with MLOps & AI services (e.g. SageMaker Notebooks, Bedrock, ECS/EKS, & IAM) • Strong interpersonal and technical communication skills with the ability to work effectively in a cross functional team Key Responsibilities: • As a DevOps Engineer you will contribute to design, development, testing and deployment of software systems and/or applications. • Competent to perform all programming, project management, and development assignments without close supervision; normally assigned the more complex aspects of systems work. • Works directly on complex application/technical problem identification and resolution, including responding to off-shift and weekend support calls. • Works independently on complex systems or infrastructure components that may be used by one or more applications or systems. • Drives application development focused around delivering business valuable features • Maintains high standards of software quality within the team by establishing good practices and habits • Identifies and encourage areas for growth and improvement within the team • Communicate with end users and internal customers to help direct development, debugging, and testing of application software for accuracy, integrity, interoperability, and completeness • Performs integrated testing and customer acceptance testing of components that requires careful planning and execution to ensure timely, quality results. • Worker is also responsible for performing other job duties as assigned by Client management from time to time.
Your Job The GPU- MLOps Engineer will own the Azure platform layer end-to-end - deploying AI/ML models, provisioning and managing GPU compute, securing the environment, and continuously optimizing cost for our engineering AI/ML platform. Our Team Established
Responsibilities: - Design, develop, and maintain Python based applications, data pipelines, and AI/ML solutions. Build, train, evaluate, and deploy machine learning and data science models for production use. Develop and integrate Generative AI solutions using AWS
Role: Data Science/MLOps Engineer Experience: - Min 8+ Years Location: - Chicago, IL We are seeking a highly skilled Senior Engineer with strong expertise in Python, Data Science, AI/ML, and AWS cloud technologies, along with hands on
Role: DevOps Engineer 3 Location: Chicago, IL / Dallas, TX (Hybrid - 2 days) Lets create our future together at The AES Group! About The AES Group The AES Group is a premier technology and engineering consulting
Role Descriptions: Key Responsibilities Pipeline Development Design, implement, and optimize scalable ETL/ELT pipelines using Databricks (PySpark, SQL, Delta Lake) to ingest structured and semi structured data from multiple sources (APIs, databases, streaming). Data Warehousing Build and