Aws Ai / Ml Engineer (Remote)

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. 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. 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. Required Skills & Experience ~3–5 years of experience in MLOps, DevOps, or related fields. ~ Bachelor’s degree in Computer Science, Data Science, or a related discipline. ~ Strong understanding of machine learning lifecycle management. ~ Proficiency in Python and experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn. ~ Hands-on experience with cloud platforms like AWS, Azure, or bare-metal servers. ~ Familiarity with Docker and Kubernetes for containerization and orchestration. ~ Strong analytical and troubleshooting skills for ML production systems. ~ Experience with monitoring tools for model and system performance. ~ Excellent collaboration skills in cross-functional AI / ML teams. At Meril / Nuvo AI, you’ll work on cutting-edge AI innovations that are transforming global healthcare. Experience Level : 3–5 years