Staff MLOps Engineer is a MLOps Engineer role (full-time). with TriNet. in ATLANTA, US. Compensation shown: $125K–$275K. Imported listing (source: linkedin.com). Apply on the employer's site (linkedin.com).
Imported listing (source: linkedin.com) · Apply on linkedin.com
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Imported job description
Sourced from linkedin.com
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.
Responsibilities
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
Requirements
8+ years in MLOps or DevOps roles
Proficiency in Python, Java, or similar languages
Experience with ML frameworks (TensorFlow, PyTorch)
TriNet provides full-service HR solutions including payroll, benefits administration, risk mitigation, and compliance for small and medium-sized businesses. It uses technology-enabled services to support business HR needs.