ML Operations Engineer; Hybrid, Concord, CA

ML Operations Engineer (Hybrid, Concord, CA)

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 will maintain, publish and release solutions to test and production environments.

This is a 12‑month project (extensions possible), 40 hours per week, and requires working 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 401(k). The compensation is $50/hr – $55/hr.

• Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI.
• 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 deployment.

• 2–8+ years of professional experience software engineering and 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, or GCP.
• Knowledge of 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  (apply to the ML Operations Engineer (Hybrid, Concord, CA) role). Feel free to forward this project opening to others who may be interested.

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.