ML Engineer

MLOps
Engineer

Experience Level: 5 - 8 Years Location: Chennai

About the Role: We are looking for a seasoned
MLOps Engineer to establish and optimize our machine learning operations withinthe U.S. healthcare payer business. This role is crucial for bridging the gapbetween ML model development and production, ensuring seamless deployment,monitoring, and maintenance of our AI/ML solutions at scale. You will beresponsible for building robust, automated pipelines that enable rapiditeration and reliable performance of our critical healthcare-focused models.

Responsibilities:

• Design, build, and maintain end-to-end
  MLOps pipelines for machine learning models, from experimentation to production deployment and monitoring.
• Implement and manage CI/CD strategies
  specifically tailored for ML workflows, ensuring automated testing, deployment, and versioning of models and code.
• Containerize ML models and applications
  using Docker for consistent and reproducible deployments across various environments.
• Automate infrastructure provisioning and
  management on AWS or Azure using Infrastructure-as-Code (IaC) principles.
• Develop and implement monitoring
  strategies for deployed ML models, tracking performance metrics, data drift, model drift, and ensuring overall model health.
• Establish alerting mechanisms and
  incident response procedures for ML systems.
• Collaborate closely with ML Engineers and
  Data Scientists to operationalize their models, providing guidance on best practices for model development, packaging, and deployment.
• Manage and optimize ML model registries,
  versioning, and artifact management.
• Ensure compliance with healthcare data
  security and privacy regulations (e.g., HIPAA) across the MLOps lifecycle.
• Research and evaluate new MLOps tools and
  technologies to improve efficiency, scalability, and reliability of ML systems.