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Senior Data Scientist

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Onsite

Senior Data Scientist

Koantek

Senior Data Scientist

Skills

Data ScienceDatabricksMachine LearningAIGitHub

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

13 August 2026

What they need


We are looking for 6+ years of hands-on experience in Data Science, Machine Learning, GenAI, and MLOps in Hyderabad, Bangalore, Navi Mumbai, Delhi, Gurgaon. Must have verifiable experience moving AI/ML models beyond the prototype/sandbox phase into live enterprise systems and also expertise in Databricks (proficiency with MLflow alongside model deployment and monitoring workflows on Databricks). Solid experience utilizing Databricks Spark, Lakehouse/Lakebase concepts, and Vector Search.

Required Skills:

  • Experience: 6+ years of hands-on experience in Data Science, Machine Learning, Gen AI, and MLOps. The ideal candidate possesses deep technical expertise in MLOps and GenAI**.**
  • End-to-End Development: Design, build, and productionize large-scale machine learning, generative AI and agentic systems and models.
  • Operational Excellence: Implement robust MLOps workflows using Ml flow to ensure model reliability, scalability, and performance tracking.
  • Production Deployment: Take ownership of the full lifecycle of AI products, ensuring models move successfully from experimental stages to live production environments.
  • Experience: 5+ years of hands-on experience in Data Science, Machine Learning, Gen AI, and MLOps.
  • Track Record: Proven experience in productionizing models (must have moved models beyond the sandbox/prototype phase).

Technical Stack:

  • Required: Expert-level proficiency with MLflow and model deployment and monitoring on Databricks.
  • Required: Experience with Databricks Spark, Lakebase, Vector Search.
  • Required: Experience with at least one agent development framework like Langchain, Langgraph, DSPy etc.
  • Good to have: Hands on experience with Databricks Apps, AI/BI Dashboards, Genie etc.
  • Good to have: Databricks Asset Bundle (DAB), Git, experience with large repo management (GitHub, ADO etc.)
  • Experience: 5+ years of hands-on experience in Data Science, Machine Learning, Gen AI, and MLOps.
  • Track Record: Proven experience productionizing models (must have moved models beyond the sandbox/prototype phase).Role & responsibilities

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