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Data Scientist / ML Engineer

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Onsite

Data Scientist / ML Engineer

Radiant Systems

Data Scientist / ML Engineer

Skills

SQL QueriesDeep LearningPythonSnowflakeGitMachine LearningAISupply ChainAzure

6 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

16 October 2026

What they need


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

Apply Now!

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