Staff MLOps Engineer

TriNet seeks a Staff MLOps Engineer to design and optimize ML infrastructure, deploy models, and collaborate with data scientists and engineers. The role involves building automation pipelines, monitoring systems, and ensuring compliance with security and governance standards. Ideal for experienced MLOps professionals with a strong background in DevOps, Python, and cloud platforms.

• Develop, manage, and scale infrastructure for ML model deployment, including orchestration, version control, and monitoring
• Design and implement CI/CD automation pipelines for training, testing, validation, and deployment
• Deploy models to production and establish monitoring/alerting for performance and data drift
• Collaborate with data scientists, software engineers, and DevOps teams to integrate ML solutions
• Ensure security protocols and compliance standards throughout the ML lifecycle
• Stay updated on MLOps advancements and propose process improvements
• Contribute to technical innovations and mentor team members

• 8+ years in MLOps or DevOps roles
• Proficiency in Python, Java, or similar languages
• Experience with ML frameworks (TensorFlow, PyTorch)
• Experience with CI/CD pipelines, Git, and automation tools
• Knowledge of SDLC in EDW, Data Lake, BI, and MLOps projects