About the Role:This is an exciting opportunity to design, train, fine-tune, and deploy models that power exception resolution, anomaly detection, and insights.Main Responsibilities:Design, train, fine-tune, and deploy machine learning models for production.Build pipelines using vector databases and frameworks like LangChain and LangGraph.Develop prompt engineering techniques for agentic interactions.Collaborate with data engineers to maintain data pipelines for workloads.Conduct feature engineering and embeddings generation on structured and unstructured data.Implement model monitoring, drift detection, and retraining pipelines.Explore emerging architectures and orchestration patterns.Collaborate cross-functionally with R&D, data science, product, and engineering teams.About the Ideal Candidate:A talented engineer with hands-on experience in designing, training, fine-tuning, and deploying ML models.Familiarity with LLM ecosystems like OpenAI GPT and Google Gemini.Proficiency in programming languages such as Python.Excellent problem-solving skills and ability to work independently.