Java - AI ML - Lead

3+ years of LLM/Agentic AI Development Exp: Hands-on exp building applications leveraging LLMs, LLM Workflows, Agentic AI and deploying them into a production environment (considering aspects like performance, cost, reliability, monitoring), Workflows and Agentic AI - LLM Evaluation through LLM as a Judge, Platforms like Arize, etc.

Familiarity and hands-on experience with relevant technologies/frameworks like Databricks, Azure AI, Azure Transcription Services, RLlib (Agent Model), PyTorch(State Model), Open AI, GCP, backend services(e.g., Node.js/Next.js/Java/Serverless), cloud platforms (AWS/GCP/Azure), front-end frameworks (React/React Native), CI/CD pipelines, REST/WebSocket API development, and database technologies. Solid programming skills in Python, with experience in pandas, numpy, and SQL, proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch.

 Broaden ML Domain Knowledge: Practical experience or solid knowledge in various machine learning domains such as Natural Language Processing (NLP), Computer Vision, Personalization & Recommendation systems, and/or Anomaly Detection.