Walk-in || Data Science

Job description

Programming - Hands-on experience building and deploying ML models on large-scale production datasets - Strong programming proficiency in Python with production-quality, well-structured code - Proficient in SQL; experience working with large-volume datasets in Spark and/or Snowflake - Experience with Git for version control, code review, and collaboration - Familiarity with experiment tracking and model versioning (e.g., MLflow) - Time series forecasting (ARIMA, Prophet, deep learning approaches) - Optimization modeling (linear programming, mixed-integer programming) - Classification, regression, clustering, and ensemble methods - Feature engineering, data wrangling, and statistical analysis on structured data. - AI Agent development: experience building agentic frameworks using Azure AI Studio and Azure model endpoints, including tool-use patterns and multi-step orchestration - RAG pipeline development: document ingestion/chunking, vector embedding/indexing (Azure AI Search), and response generation using LLM endpoints - Prompt engineering and chain-of-thought design for complex supply chain workflows - Experience with orchestration frameworks like LangChain or LlamaIndex