About this opportunity
Motion Recruitment Partners LLC lists this Mid Level AI/ML Engineer/Remote EST/CST opportunity in northern, Kentucky. Review the employer’s description below for duties, qualifications and application requirements.
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.
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
Tech Breakdown
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.
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.