ML Operations Engineering Lead; Hybrid, Concord, CA

ML Operations Engineering Lead (Hybrid, Concord, CA)

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This range is provided by Stage 4 Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$60.00/hr - $63.00/hr

We are seeking ML Ops Engineers for AI Solutions projects at a Financial Services Client. The ML Ops Engineers will work closely with the team developing generative and agentic AI solutions and would maintain, publish and release solutions to test and production environments.

This is a 12 month project (extensions possible), 40 hours per week, Must work 3 days onsite at the client’s offices in Concord, CA.

This is a W2 role in the US as a Stage 4 Solutions’ employee, with Healthcare benefits and 401K offered.

• Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI.
• Lead a team of engineers.
• Automate model training, testing, deployment, and monitoring in cloud environments (e.g., GCP, AWS, Azure).
• Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining.
• Monitor model performance using observability tools and ensure compliance with model governance frameworks (MRM, documentation, explainability).
• Collaborate with engineering teams to provision containerized environments and support model scoring via low-latency APIs.
• Leverage AutoML tools (e.g., Vertex AI AutoML, H2O Driverless AI) for low-code/no-code model development, documentation automation, and rapid deployment.

• 10+ Years of professional experience in Software Engineering & 3+ Years in AI/ML, Machine Learning Model Operations.
• Experience with MLflow, Kubeflow, or Vertex AI.
• Strong proficiency in Java or Python.
• Experience working with Cloud providers such as AWS, Azure, GCP.
• Experience with SQL, and ML libraries (e.g., scikit-learn, XGBoost, Tensor Flow, PyTorch).
• Experience with cloud platforms and containerization (Docker, Kubernetes).
• Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks.
• Solid understanding of software engineering principles and Dev Ops practices.
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Bachelor's Degree.

Please submit your resume to our network at  (please apply to the ML Operations Engineering Lead (Hybrid, Concord, CA) role.)

Stage 4 Solutions is an equal opportunity employer. We celebrate diversity and are committed to providing employees with an inclusive environment that is free of discrimination and harassment. All employment decisions are based on the job requirements and candidates’ qualifications, without regard to race, color, religion/belief, national origin, gender identity, age, disability, marital status, genetic information or other applicable legally protected characteristics.