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Koantek

Senior Data Scientist

Koantek Hyderabad, Telangana, India

IT Services and IT Consulting · 201-500 employees

19 h ago
data-scientist Senior (5-10 yrs) Full-time India
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About the role

Design, build, and productionize large-scale machine learning, generative AI, and agentic systems. Implement robust MLOps workflows using MLflow and manage the full lifecycle of AI products from experimentation to production.

What they look for

MLOps GenAI Machine Learning MLflow Databricks Spark Lakebase Vector Search Langchain Langgraph DSPy Databricks Apps AI/BI Dashboards Git GitHub ADO

Requirements

Requires 5+ years of experience in Data Science, Machine Learning, GenAI, and MLOps with a proven track record of productionizing models. Proficiency in Databricks, MLflow, and agent development frameworks like Langchain or Langgraph is mandatory.

Full description

The ideal candidate possesses deep technical expertise in MLOps and GenAI.

Work Location: Hyderabad, Bangalore, Mumbai, Delhi, Gurgaon.

Work Mode: Work From Office 5 days a week

  • 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 MLflow 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: 4+ years of hands-on experience in Data Science, Machine Learning, GenAI, and MLOps.
  • Track Record: Proven experience 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.)

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