MLOps Engineer: Cloud AI Deployment on AWS & Kubernetes

Motion Recruitment; Detroit (MI); On-site; USD 83,000 - 152,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Insurance

Career Development Opportunities

Job summary

Motion Recruitment is seeking an AI/ML Operations Engineer to deploy and scale machine learning models in production. The role focuses on building cloud infrastructure, containerized environments, and robust MLOps practices across enterprise workloads.

The ideal candidate will bring strong Python development skills, hands-on AWS experience, and familiarity with Databricks, CI/CD pipelines, and observability. This is a full-time, on-site opportunity in the Detroit area.

Qualifications

• 3+ years of experience in MLOps, Platform Engineering, or Infrastructure Engineering
• Experience deploying machine learning models into production environments
• Strong Python development and scripting skills
• Hands-on experience with AWS cloud services
• Experience with Databricks or comparable data/AI platforms
• Experience building and maintaining CI/CD pipelines
• Docker and Kubernetes experience
• Monitoring, observability, and incident response experience
• Bachelor's Degree in Computer Science, Engineering, or related field (or equivalent experience)

Responsibilities

• Hands-on engineering of AI/ML solutions in production environments
• Build and maintain cloud infrastructure and Databricks-based data/AI platforms
• Lead CI/CD pipelines and deployment automation for enterprise workloads
• Ensure monitoring, observability, and reliability across AI systems
• Collaborate with teams to scale AI capabilities across client engagements

Skills

MLOps

Platform Engineering

Python

AWS

Databricks

CI/CD

Docker

Kubernetes

Monitoring

Incident Response

Education

Bachelor's Degree in Computer Science, Engineering, or related field

Tools

Databricks

CI/CD tooling

Docker

Kubernetes

Job description

Motion Recruitment is seeking an AI/ML Operations Engineer to deploy and scale machine learning models in production. The role focuses on building cloud infrastructure, containerized environments, and robust MLOps practices across enterprise workloads.

The ideal candidate will bring strong Python development skills, hands-on AWS experience, and familiarity with Databricks, CI/CD pipelines, and observability. This is a full-time, on-site opportunity in the Detroit area.