Data Scientist/ML Engineer

Job Description :

We are looking for a Data Scientist / ML Engineer in Bangalore/Chennai.

Core Programming & Tools :

- 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).

Classical ML & Statistical Modeling :

- 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.

LLM Application & AI Agent Development :

- 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.

Azure & Production Delivery :

- Familiar with core Azure resources : Azure Machine Learning, Azure AI Studio, Azure OpenAI Service, and Azure storage/compute.

- Experience delivering production-ready models with proper testing, validation, and monitoring.

- Basic UI skills (Streamlit or Gradio) for quick prototyping and demos.

Skills

Data Science, Machine Learning, Python, SQL, Spark, Generative AI, LangChain, Agentic AI, Snowflake DB, LLM