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Manager - Data Engineering

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Designation: Manager – Data Engineering
Level: L4
Experience: 9 to 15 years
Location: Bengaluru

Job Description:

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

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