We’re seeking a highly skilled MLOps Engineer to join the MLOps Platform Team within the Enterprise Data & Analytics organization. This team builds and maintains the platform that supports the full lifecycle of AI/ML development, from ideation to production to ongoing monitoring.
You will build self‑service ML development tooling, scalable MLOps pipelines, and cloud-native architectures that enable data scientists and engineers across the enterprise. If you enjoy designing platforms that empower teams to operationalize production‑grade machine learning models, this role is for you.
Job Title: MLOps Engineer
Location: Chicago, IL (Onsite 2-3 days/week)
Contract: 12 Months
Key Responsibilities:
- Define scalable & secure architecture, frameworks, and pipelines for ML model development, deployment & monitoring
- Build & enhance the enterprise MLOps Platform, focusing on user enablement and platform adoption
- Troubleshoot user issues and maintain clear documentation and training materials
- Design & implement cloud solutions on AWS (infrastructure + ML pipelines)
- Support code optimization, containerization, deployment, versioning, and drift monitoring
- Lead automation of testing, validation & deployment processes for ML models
- Enable internal engineering teams by creating standards, templates & reusable patterns
- Support POCs and best practices for scalable MLOps implementations
Required Qualifications
- Bachelor’s degree + 8+ years experience OR Master’s degree + 6+ years experience
- Strong object‑oriented programming experience (Python, Golang, Java, C/C++)
- Hands‑on experience with MLOps frameworks (MLflow, Kubeflow, etc.)
- Proficiency in Python, R, SQL
- Experience designing cloud‑native solutions & ML pipelines on AWS
- Solid understanding of DevOps principles and tools (Git, GitHub, Artifactory, Azure DevOps)
- Strong experience with Docker & Kubernetes
- Ability to break down high‑level requirements into Stories & Tasks
- Excellent communication & collaboration skills
Nice to Have:
- Experience creating model inference systems (Seldon, Kubeflow, MLflow integrations)
- Experience with Helm/Helmfile and Kubernetes deployments
- Infrastructure-as-Code: Terraform or CloudFormation
- Exposure to observability tools (Evidently AI)
- Experience with Langfuse or similar platforms
About us:
Harvey Nash is a national, full-service talent management firm specializing in technology positions. Our company was founded with a mission to serve as the talent partner of choice for the information technology industry.
Our company vision has led us to incredible growth and success in a relatively short period of time and continues to guide us today. We are committed to operating with the highest possible standards of honesty, integrity, and a passionate commitment to our clients, consultants, and employees.
We are part of Nash Squared Group, a global professional services organization with over forty offices worldwide.
For more information, please visit us at https://www.harveynashusa.com/
Harvey Nash will provide benefits please review: 2025 Benefits -- Corporate
