Senior Data Scientist

Koantek • Analytics & BI Consulting • Data Engineering & Migration Services • 5 days a week in the office • 22 days ago
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Salary
≈ $22k – $44k per year (Estimated)
Location
Hybrid (Hyderabad, Bengaluru, Mumbai, Delhi, Gurgaon, India)
Seniority
Senior · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Sep 30, 2026. Koantek scores C on the Alion truth index.

Overview
Company
Impact
Profile match

Koantek

Koantek is a data and AI consulting firm built around its strategic partnership with Databricks and managed through an alliances function. It hires alliances managers, technical project managers and solutions architects, with delivery teams in Bengaluru, Hyderabad and Ahmedabad. The company is registered in Town and Country, Missouri, United States.
koantek.com • HQ: Town and Country, United States • Data Engineering & Migration Services • Analytics & BI Consulting • 11-50 employees • Est. 2023
Tech stack of Koantek

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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