MLOps Engineer / AI ML Engineer (Specialist - Data Sciences)

About the role

We are seeking a candidate with 5 to 7 years of experience in MLOps within the Blueverse ML Engineering domain to drive scalable and efficient machine learning operations.

Responsibilities

• Design, develop, and maintain robust MLOps pipelines to streamline model deployment and monitoring.
• Collaborate with data scientists and engineers to operationalize machine learning models, ensuring scalability and reliability.
• Implement automation for continuous integration and continuous delivery (CI/CD) of ML models.
• Optimize infrastructure and workflows for effective model training, deployment, and lifecycle management.
• Ensure compliance with security, governance, and quality standards in ML operations.
• Analyze system performance and troubleshoot issues related to ML model deployment and monitoring.
• Stay updated with the latest trends and best practices in MLOps and machine learning engineering.
• Participate in cross-functional teams to integrate ML solutions into production environments.
• Lead the end-to-end implementation of MLOps frameworks within the Blueverse ML Engineering family.
• Collaborate closely with data science teams to translate experimental models into production-ready solutions.
• Develop and maintain automated workflows for model versioning, testing, deployment, and rollback.
• Monitor deployed models for performance degradation and initiate retraining or tuning as necessary.
• Mentor junior engineers and share knowledge on MLOps best practices and tools.
• Drive continuous improvement initiatives to enhance ML operational efficiency and scalability.
• Coordinate with infrastructure and DevOps teams to provision and manage ML environments.
• Document processes, architectures, and operational procedures to ensure knowledge sharing and compliance.

Qualifications

• 5 to 7 years of experience in MLOps within the Blueverse ML Engineering domain.

Benefits

• Comprehensive medical plan covering medical, dental, and vision.
• Short-term and long-term disability coverage.
• 401(k) plan with company match.
• Life insurance.
• Vacation time, sick leave, and paid holidays.
• Paid paternity and maternity leave.

Pay

The range displayed reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location, job level, and additional factors including job-related skills, experience, and relevant education or training. Other forms of compensation may include an annual performance-based bonus, sales incentive pay, and other forms of bonus or variable compensation.