Koantek·1 month ago
1 month ago
Senior Data Scientist
Sign up free to see how well your resume matches this role.
What you'll do
- Design, build, and productionize large-scale machine learning, generative AI and agentic systems and models.
- Implement robust MLOps workflows using MLflow to ensure model reliability, scalability, and performance tracking.
- Take ownership of the full lifecycle of AI products, ensuring models move successfully from experimental stages to live production environments.
What they're looking for
- 4+ years of hands-on experience in Data Science, Machine Learning, GenAI, and MLOps.
- Proven experience productionizing models (must have moved models beyond the sandbox/prototype phase).
- Expert-level proficiency with MLflow and model deployment and monitoring on Databricks.
- Experience with Databricks Spark, Lakebase, Vector Search.
- Experience with at least one agent development framework like Langchain, Langgraph, DSPy etc.
Nice to have
- Hands on experience with Databricks Apps, AI/BI Dashboards, Genie etc.
- Databricks Asset Bundle (DAB), Git, experience with large repo management (GitHub, ADO etc.)
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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.)
Company
Koantek
Telangana, India
Company facts come from this company's own listings. We only show what the postings themselves carry.