MLOps Engineer Internship

Responsibilities

• You will build the automation infrastructure that turns static models into continuously improving production systems.
• Model CI/CD Pipelines
• Design and build robust CI/CD pipelines dedicated to the machine learning lifecycle: automated model training, validation, and deployment using tools integrated with our main Makefile CI/CD setup.
• Model Monitoring & Tracking
• Implement comprehensive monitoring and alerting for model performance (e.g., drift detection, prediction accuracy, latency) and track experiments and model artifacts using version control tools.
• Production Deployment: Operationalize the deployment of ML models powering AI agents and e-commerce services, ensuring they integrate seamlessly into the NestJS modular monolith architecture.
• Versioning & Feature Stores
• Manage model versioning and lineage.
• Collaborate on the design and maintenance of a centralized Feature Store to ensure consistent data for training and serving.
• Experimentation Infrastructure

Languages