Senior MLOps Engineer / Databricks / AWS Bedrock / Remote

Motion Recruitment

Chicago (IL)

On-site

USD 110,000 - 160,000

Full time

5 hours ago

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Benefits offered by this job

Medical, Dental, and Vision Insurance

401(k) Program

Paid Vacation & Holidays

Professional Development Opportunities

Life Insurance

Employee Assistance Programs

Flexible Work Environment

Job summary

Motion Recruitment is seeking a Mid-Level AI/ML Ops Engineer to support and scale AI initiatives across the business. The role focuses on deploying ML models into production using AWS, Databricks, Docker, and Kubernetes, with CI/CD pipelines to ensure reliability.

The ideal candidate thrives on solving production challenges, improving platform reliability, and collaborating with cross-functional teams. This hands-on role offers exposure to cutting-edge AI projects and opportunities to shape

Qualifications

3-5 years of experience in MLOps, DevOps, Cloud Engineering, Platform Engineering, or similar roles
Experience deploying machine learning models into production environments
Strong knowledge of AWS cloud services
Experience with Databricks
Hands-on experience with Docker and Kubernetes
Proficiency in Python
Experience building and maintaining CI/CD pipelines
Familiarity with monitoring and observability platforms
Experience supporting production environments and troubleshooting incidents
Bachelor's degree in Computer Science, Engineering, or equivalent experience

Responsibilities

Deploy machine learning models into production environments
Develop and maintain CI/CD pipelines and automation
Monitor, troubleshoot, and improve AI infrastructure and platform reliability
Collaborate with cross-functional teams to scale AI initiatives

Skills

MLOps

Python

AWS cloud services

Databricks

Docker

Kubernetes

CI/CD pipelines

Observability

Production deployment

Education

Bachelor's degree in Computer Science, Engineering, or equivalent experience

Tools

Databricks

Docker

Kubernetes

AWS

CI/CD pipelines

Job description

An innovative data-driven marketing and technology organization is seeking a Mid-Level AI/ML Ops Engineer to help support and scale AI initiatives across the business. This full-time opportunity offers the chance to work with modern cloud technologies including AWS, Databricks, Docker, Kubernetes, CI/CD pipelines, and AI-powered platforms while helping deploy machine learning solutions into secure and reliable production environments.

This is an excellent opportunity for an operations-minded engineer who enjoys solving production challenges and improving platform reliability. The organization has built a strong reputation for investing in employee development, fostering collaboration, and creating an environment where engineers can deepen their expertise in AI infrastructure, cloud platforms, and MLOps best practices. You'll have direct exposure to cutting-edge AI projects and the opportunity to help shape operational standards as AI adoption continues to grow.

Required Skills & Experience

3-5 years of experience in MLOps, DevOps, Cloud Engineering, Platform Engineering, or similar roles
Experience deploying machine learning models into production environments
Strong knowledge of AWS cloud services
Experience with Databricks
Hands-on experience with Docker and Kubernetes
Proficiency in Python
Experience building and maintaining CI/CD pipelines
Familiarity with monitoring and observability platforms
Experience supporting production environments and troubleshooting incidents
Bachelor's degree in Computer Science, Engineering, or equivalent experience

Desired Skills & Experience