MLOps Engineer

MLOps Engineer | Nuvo AI / Meril Life Sciences (Vapi, Gujarat)

We’re looking for a passionate and skilled MLOps Engineer to join our AI & Machine Learning Division at Meril Life Sciences, where innovation meets healthcare.

If you’re excited about designing scalable machine learning pipelines, automating model deployments, and ensuring reliable ML systems in production — we’d love to hear from you.

Key Responsibilities

• Design, develop, and implement end-to-end MLOps pipelines for continuous integration and deployment of ML models.
• Collaborate closely with data scientists and engineers to understand model requirements and streamline deployment workflows.
• Automate training, testing, and deployment processes for machine learning models.
• Monitor, maintain, and optimize models in production to ensure accuracy, reliability, and performance.
• Implement best practices for model versioning, reproducibility, and governance.
• Optimize ML pipelines for scalability, efficiency, and cost-effectiveness across cloud and on-prem environments.
• Troubleshoot and resolve deployment or performance-related issues.
• Ensure compliance with data security and privacy standards.
• Stay updated with the latest MLOps tools, technologies, and trends.
• Mentor and support team members on MLOps tools and best practices.

Required Skills & Experience

Why Join Us

At Meril / Nuvo AI, you’ll work on cutting-edge AI innovations that are transforming global healthcare. You’ll be part of a dynamic, cross-functional team that values innovation, collaboration, and growth.

Location : Vapi, Gujarat

Experience Level : 3–5 years