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Job Description
We are actively hiring for an exciting long-term contract opportunity with a leading enterprise client. π
Location:
Chicago, IL (Hybrid)
π
Duration:
13+
Months Contract Position:
MLOps Engineer Key Requirements:
Bachelor''s or Master''s degree 5+ years of experience (Bachelor''s) or 3+ years (Master''s) Strong programming experience with Python, Golang, Java, C/C++, or similar OO languages Hands-on experience with MLOps frameworks such as MLflow, Kubeflow, etc. Strong Python, SQL, and/or R programming skills Experience building and deploying MLOps pipelines on AWS or other cloud platforms Strong understanding of DevOps, CI/CD, Git, GitHub, Azure DevOps, Artifactory, etc. Experience with Docker and Kubernetes Excellent communication and collaboration skills
Preferred Skills:
ML model deployment and inference systems Seldon, Kubeflow, MLflow Langfuse, Helm, Helmfile Terraform or CloudFormation Observability tools such as
Evidently AI Responsibilities:
Design and implement scalable MLOps platforms and pipelines Build, deploy, monitor, and optimize ML applications in production Develop automation for model testing, validation, deployment, and monitoring Partner with Data Science and Engineering teams to operationalize AI/ML solutions Create reusable frameworks, standards, and best practices for ML development Support platform adoption, troubleshooting, and user enablement