Senior Machine Learning Engineer

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.

• 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

• 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
• Solid understanding of Dev Ops principles and tools (Git, Git Hub, Artifactory, Azure Dev Ops)
  Strong experience with Docker & Kubernetes
• Ability to break down high‑level requirements into Stories & Tasks

• Experience creating model inference systems (Seldon, Kubeflow, MLflow integrations)
• Experience with Helm/Helmfile and Kubernetes deployments
• Infrastructure-as-Code:
  Terraform or Cloud Formation
• Exposure to observability tools (Evidently AI)
• Experience with Langfuse or similar platforms

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.

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2025 Benefits -- Corporate