Job Description

Designation: Manager - Data Engineering

Level: L4

Experience: 9 to 15 years

Location: Bengaluru

:

We are looking for a seasoned ML Engineering Expert with strong experience on the Databricks Lakehouse platform. The role involves designing, developing, and operationalizing advanced machine learning solutions that deliver measurable business impact.

Responsibilities:

Design and implement advanced ML models for classification, forecasting, NLP, recommendation systems, and optimization problems. Conduct EDA, feature engineering, and statistical analysis on large and complex datasets using Databricks. Leverage ML flow for experiment tracking, model versioning, and lifecycle management. Collaborate with data engineers to ensure data readiness, quality, and scalability for modeling. Translate business challenges into data science use cases and communicate insights effectively. Optimize models for performance, interpretability, and fairness. Stay current on emerging ML techniques and Databricks ML/AI capabilities.

Skills:

9-15 years in Data Science, with hands-on experience in ML/AI. Strong proficiency in Python, PySpark, SQL, and ML libraries (scikit-learn, XGBoost, TensorFlow, PyTorch). Advanced expertise in Databricks Lakehouse and MLflow. Solid background in statistics, probability, and applied mathematics. Proven experience deploying ML models into production.
Strong communication and problem-solving skills.

Job Snapshot

Updated Date
03-12-2025
Job ID
J_4144
Location
Bengaluru, Karnataka, India
Experience
9 - 15 Years
Employee Type
Permanent