Develop and deploy ML and GenAI capabilities into production applications
Build and improve ML models and LLM-powered features (RAG, agents, or classification/NLP as needed)
Prepare training and evaluation datasets; implement reproducible experiments
Integrate models into applications via APIs, batch jobs, or real-time services
Implement monitoring for drift, latency, cost, and quality; iterate from feedback
Collaborate with product, data engineering, and security on responsible AI practices
Document architectures, prompts, evaluation metrics, and runbooks
Support CI/CD and containerized deployment of ML services

AI – Machine Learning Engineer

Key skills