Mid Level AI/ML Engineer/Chicago OR Detroit Local

Motion Recruitment; Chicago (IL); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Medical, Dental, Vision Insurance

Vacation Time

Stock Options

Job summary

Motion Recruitment is seeking a Mid-Level AI/ML Ops Engineer to design and maintain CI/CD pipelines for deploying ML models at scale in cloud environments. You will work on Databricks and AWS Bedrock, leverage Docker and Kubernetes, and ensure robust monitoring and observability across production systems.

The role requires hands-on ML deployment experience, strong Python skills, and a solid grounding in data analytics.

Qualifications

• Bachelor’s degree or comparable experience in CS/Engineering.
• 3–5 years in DevOps, MLOps, data infra, or related roles.
• Hands-on experience deploying ML models to production.
• Experience with Databricks and AWS Bedrock.
• Docker and Kubernetes or equivalent orchestration.
• Python proficiency and CI/CD tooling.
• Experience with monitoring/observability for production systems.
• Understanding of data analytics fundamentals.

Responsibilities

• Build and maintain CI/CD pipelines for deploying AI/ML models into production.
• Implement monitoring to catch performance degradation, drift, and failures.
• 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.
• Monitor and optimize the cost and resource efficiency of AI/ML workloads.

Skills

DevOps/MLOps

Python

CI/CD tooling

Monitoring & observability

Data analytics fundamentals

Education

Bachelor’s degree in Computer Science/Engineering or related field

Tools

Databricks

Bedrock (AWS)

Docker

Kubernetes

AWS

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.

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