Mid Level AI/ML Engineer/Chicago OR Detroit Local

Kelly Services Inc.
Chicago, IL, United States
10 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$100,000.0 - $120,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Cloud Computing Continuous Integration Information Engineering DevOps Monitoring of Systems Python (Programming Language) Machine Learning SQL Databases Management of Software Versions Cloud Platform System
+12 more
Delivery Pipeline Large Language Models Containerization AI Platforms Kubernetes Information Technology Low Latency Data Analytics Machine Learning Operations Software Version Control Docker Databricks

Job description

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.

This is a hands-on opportunity to own the operational backbone of a growing AI practice, working side by side with AI Engineers and the AI Tech Lead rather than setting architecture in isolation. You will take deployment and infrastructure requirements and turn them into dependable, monitored production systems, all while deepening your expertise across MLOps, cloud AI platforms, and LLM deployment. It is a great fit for someone who is detail oriented and reliability focused, stays calm and methodical when production issues come up, and wants room to grow into a stronger voice on the operational side of AI/ML., * 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

Requirements

  • 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

About the company

Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.

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