Data Scientist / ML Engineer

Radiant Systems; Chennai, Bengaluru; Presencial; INR 1 200 000 - 2 400 000; Tempo integral

Resumo da oferta

Radiant Systems in Bangalore/Chennai seeks a Data Scientist/ML Engineer to build and deploy ML models on large production datasets. Strong Python code quality and SQL skills required, with experience using Spark and/or Snowflake. Familiarity with Git for version control and MLflow for experiment tracking is a plus.

Proficiency in Azure Machine Learning and related Azure services is a plus for production delivery and monitoring of models.

Qualificações

• Hands-on experience building and deploying ML models on large-scale production datasets.
• Strong programming in Python with production-quality, well-structured code.
• Proficient in SQL; experience with Spark and Snowflake.

Conhecimentos

Python

SQL

Ferramentas

Spark

Snowflake

Git

MLflow

Azure Machine Learning

Descrição da oferta de emprego

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

JD Details

Required

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

If you have strong experience in ML Models , Python, SQL, Azure Machine Learning on large-scale production datasets