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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
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Worksite address
chicago, IL, 60290, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.