Mid Level AI/ML Engineer/Chicago OR Detroit Local

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.

Required Skills & Experience

• Bachelor’s degree in Computer Science, Engineering, or a related field, or comparable experience
• 3-5 years of experience in DevOps, 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

Desired Skills & Experience

• Familiarity with LLM deployment considerations (latency, cost, versioning)
• Experience with SQL

What You Will Be Doing

• Databricks and AWS cloud AI platforms, including Bedrock
• Docker and Kubernetes (or equivalent orchestration)
• Python and CI/CD tooling
• Monitoring and observability platforms

Daily Responsibilities

• 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

The Offer

• Bonus eligible

You Will Receive The Following Benefits

• 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