Staff MLOps Engineer

TriNet • Atlanta, GA

6h • $125,000 - $275,000 • Onsite

About The Position

As a Staff MLOps Engineer, you will play a pivotal role in designing, implementing, and optimizing machine learning operations within our infrastructure. You will collaborate closely with data scientists, software engineers, and other cross-functional teams to ensure the seamless deployment and maintenance of machine learning models.

Requirements

• Typically 8+ years Proven experience working in a similar MLOps or DevOps role within a technical engineering environment. required
• Typically 8+ years Experience with programming languages such as Python, Java, or similar, along with experience with relevant ML frameworks (TensorFlow, PyTorch, etc.). required
• Experience with CI/CD pipelines, version control systems (Git), and automation tools.
• Knowledge of end-to-end SDLC process in EDW, Data Lake, BI & MLOps projects
• Dimensional Modeling and Data warehouse, ODS concepts, such as star schemas, snowflakes, and normalized data models
• Strong knowledge of containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP).
• Ability to coordinate effectively with on-site and offshore resources through Managed Service Providers & IT Teams
• Excellent verbal and written communication skills
• Strong Problem-solving and organizational skills and ability to work in a fast-paced, collaborative environment.
• Solid understanding of machine learning concepts, model development, and deployment strategies.

Nice To Haves

• Knowledge of Reporting tools like Tableau is desired

Responsibilities

• Develop, manage, and scale the infrastructure required for efficient and reliable machine learning model deployment, including orchestration, version control, and monitoring systems.
• Design and implement automation pipelines for model training, testing, validation, and deployment, integrating CI/CD practices to ensure smooth and consistent delivery of ML models.
• Deploy machine learning models into production environments, establishing monitoring and alerting systems to track model performance, health, and data drift. Proactively troubleshoot issues and optimize model efficiency.
• Collaborate with data scientists, software engineers, and DevOps teams to streamline the integration of machine learning solutions into existing software systems and workflows.
• Ensure adherence to security protocols and compliance standards throughout the machine learning lifecycle, implementing best practices for data privacy and model governance.
• Stay updated with the latest advancements in MLOps tools, technologies, and methodologies, and propose enhancements to existing processes to improve efficiency and reliability.
• Solve complex and ambitious problems by crafting elegant and impactful solutions.
• ontributes to technical innovations along with defining coding standards
• entors and support other members of the software development team and contribute to the software development best practices.
• Performs other duties as assigned
• Complies with all policies and standards

Benefits

• Additionally, subject to applicable eligibility requirements, TriNet offers permanent full-time employees a variety of benefits including medical, dental, and vision plans, life and disability insurance, a 401(K) savings plan, an employee stock purchase plan, eleven (11) Company observed holidays, PTO and a comprehensive leave program.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees