MLOps Engineer

Job Summary

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 seamless deployment and maintenance of machine learning models.

• 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 Dev Ops 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.
• Contributes to technical innovations along with defining coding standards.
• Mentors 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.

• Bachelor's Degree in Computer Science/Engineering or equivalent experience preferred.

• Typically 8+ years proven experience working in a similar MLOps or Dev Ops 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 (Tensor Flow, 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.
• 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.

Minimal

• Work in clean, pleasant, and comfortable office or home setting. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable persons with disabilities to perform the essential functions.

The preferred location for this role is Atlanta, GA, and the salary range for this location is $ to $. 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. 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 Tri Net’s corporate bonus plan.

Additionally, subject to applicable eligibility requirements, Tri Net offers permanent full‑time…