Staff MLOps Engineer

About the Role

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.

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.
• Contribute to technical innovations along with defining coding standards.
• Mentor and support other members of the software development team and contribute to software development best practices.

Qualifications

• Bachelor's Degree in Computer Science/Engineering or equivalent experience preferred.
• Typically 8+ years of proven experience working in a similar MLOps or DevOps role within a technical engineering environment.
• Experience with programming languages such as Python, Java, or similar, along with experience with relevant ML frameworks (TensorFlow, PyTorch, etc.).
• Experience with CI/CD pipelines, version control systems (Git), and automation tools.

Skills

• 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.
• Knowledge of Reporting tools like Tableau is desired.
• 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.

Pay

The salary range for this location is $125,000.00 to $275,000.00. The candidate’s final salary offer will be based on the candidate’s skills, education, work location, and experience. A candidate’s compensation may also include bonuses consistent with TriNet’s corporate bonus plan.

Benefits

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.

Work Environment

Work in a clean, pleasant, and comfortable office or home setting. Reasonable accommodations may be made to enable persons with disabilities to perform the essential functions.

Travel Requirements

Minimal.

The preferred location for this role is Atlanta, GA. All qualified external applicants will be considered for an in-office role, based in Atlanta. All qualified internal candidates are encouraged to apply and consider relocation to Atlanta and may be considered for remote hire at the company’s discretion.