Artificial Intelligence Engineer

Koantek; Navi Mumbai, Gurugram District, Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Koantek in India is seeking a senior AI/ML engineer with 6+ years of hands-on experience in Data Science, Machine Learning, Gen AI and MLOps. The role focuses on moving AI/ML models from prototype to live enterprise systems across Hyderabad, Bangalore, Navi Mumbai and Gurgaon.

You will build and productionize large-scale Gen AI and agentic systems, implement robust MLOps with MLflow on Databricks, and deploy and monitor models using Databricks Spark, Lakebase and Vector Search.

Qualifications

• 6+ years hands-on experience in Data Science, ML, Gen AI, and MLOps.
• Proven track record of productionizing models beyond sandbox/prototype.
• Expertise with MLflow, Databricks, and end-to-end ML deployment.
• Experience with Databricks Spark, Lakebase, and Vector Search.

Responsibilities

• Design, build, and productionize large-scale machine learning, generative AI and agentic systems and models.
• Move AI/ML models beyond prototype into live enterprise production environments.
• Implement robust MLOps workflows using MLflow to ensure reliability, scalability and monitoring.
• Deploy and monitor models on Databricks including Spark and Lakehouse.

Skills

Data Science

Machine Learning

Gen AI

MLOps

End-to-End ML

Production Deployments

Tools

MLflow

Databricks

Databricks Spark

Lakebase

Vector Search

Langchain

Langgraph

DSPy

Job description

We are looking for 6+ years of hands-on experience in Generative AI, Data Science, Machine Learning, and MLOps in Hyderabad, Bangalore, Navi Mumbai and 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