We are actively hiring for an exciting long-term contract opportunity with a leading enterprise client.
📍 Location: Chicago, IL (Hybrid)
📅 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
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