AI/ML Engineer Intern
Core
Support the productionization of data science research and AI-driven solutions, including model deployment, MLOps infrastructure, and production-grade software for model inference.
Role type
Intern, Machine Learning Engineer
Builds
Scalable infrastructure for model training and deployment, cloud-native APIs, pipelines, and agentic systems
Domain
Data and AI engineering, Generative AI, Agentic systems
Deliverable
production ML models
Required skills
Python, Machine Learning concepts, Software Development Life Cycle (SDLC), Cloud-native development, API development, Model deployment
Preferred skills
C++, Foundation models
Responsibilities
Support cross-functional teams in designing ML solutions, Assist in developing and maintaining scalable infrastructure for model training and deployment, Help develop cloud-native APIs and pipelines for model inference, Gain exposure to building agentic systems from scratch, Troubleshoot issues related to generative AI models, Contribute to technical documentation
