What You Bring M.Sc., or Ph.D. in Electrical Engineering, Computer Science, Physics, Mathematics, or a related field. 5+ years of experience in ML applications in modeling Time-series data, & ML-based vectoring, and Embeddings for insight & recommendations systems (Transformers included) - Mandatory 2+ years of experience in LLM and Agentic applications, Eval tools, methods, and workflows (HITL, LLM-as-a-judge, deterministic, Metrics & Embeddings), Fine-Tuning, and AI workflows and lifecycle (e.g. LangSmith, CrewAI, LangGraph, Embedding (BERT, w2v, FastText, FastEmbed, GloVe, etc.), Tokenizations (GPT. TikToken, Token validators, etc.), & Vector Similarities & search methods Proficiency in Python for model development, deployment, and monitoring. Experience working on Agile teams with a passion for fast iterations, feedback, and continuous learning. Proven ability to collaborate with diverse, cross-functional groups, including product managers, infrastructure, and data engineering teams. The ability to translate research into scalable, production-ready solutions. Experience in anomaly detection and AI/ML - an
