Analyst-Machine learning/Data Science

About you You have 2–6 years of experience working in data science domain, with a strong track record of delivering advanced machine learning solutions for business. You’re skilled in developing models for classification, forecasting, recommender systems and hands-on with frameworks like Scikit-learn, TensorFlow, or PyTorch. You bring strong experience in developing and deploying models on AWS SageMaker, solid SQL/data skills, and the ability to partner effectively with stakeholders to frame problems and define success metrics. You are familiar with emerging GenAI patterns (e.g., prompt engineering, embeddings, vector search, and RAG) and have exposure to building agentic workflows using LangChain/LangGraph or similar orchestration frameworks, with an appreciation for governance, monitoring, and production reliability. A background in engineering, mathematics, or economics from a Tier 1 institution will be preferred.