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Mid Level AI/ML Engineer/Chicago OR Detroit Local
Job in
Chicago, Cook County, Illinois, 60290, USA
Listed on 2026-09-04
Listing for:
Motion Recruitment
Full Time
position Listed on 2026-09-04
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, AWS
Job Description & How to Apply Below
Our client is a global performance marketing organization operating at the intersection of brand marketing, technology, and analytics, helping businesses design and manage data-driven marketing and brand strategies. They are hiring for a Mid-Level AI/ML Ops Engineer to build and maintain the infrastructure, deployment pipelines, monitoring, and cloud systems that gets AI and machine learning models into production reliably, securely, and at scale.
RequiredSkills & Experience
- Bachelor’s degree in Computer Science, Engineering, or a related field, or comparable experience
- 3-5 years of experience in Dev Ops, MLOps, data engineering, or a related infrastructure/operations role
- Hands-on experience deploying machine learning models into production environments
- Working knowledge of Databricks and cloud AI platforms (AWS preferred, including familiarity with services like Bedrock)
- Experience with containerization and orchestration tools (Docker, Kubernetes or equivalent)
- Proficiency in Python and familiarity with CI/CD tooling
- Experience with monitoring and observability tooling for production systems
- Solid understanding of data analytics fundamentals
- Familiarity with LLM deployment considerations (latency, cost, versioning)
- Experience with SQL
- Databricks and AWS cloud AI platforms, including Bedrock
- Docker and Kubernetes (or equivalent orchestration)
- Python and CI/CD tooling
- Monitoring and observability platforms
- Build and maintain CI/CD pipelines for deploying AI/ML models into production
- Implement monitoring and observability to catch performance degradation, drift, and failures early
- Manage cloud infrastructure supporting AI workloads, including containerized services and cloud AI platforms
- Collaborate with AI Engineers and the AI Tech Lead to translate requirements into deployment plans
- Troubleshoot production issues and support model versioning, reproducibility, and rollback processes
- Monitor and optimize the cost and resource efficiency of AI/ML workloads, flagging operational risks before they become incidents
- Bonus eligible
- Medical, Dental, and Vision Insurance
- Vacation Time
- Stock Options
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Posted By:
McIver Harris
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