Required

Bachelor’s or Master’s in Computer Science, Data Science, Engineering, Statistics, or related field.

10+ years of experience in data engineering, ML engineering, or AI/ML architecture roles.

Deep expertise in Databricks on AWS, including:

PySpark / Spark SQL

Databricks Notebooks

Delta Lake

Unity Catalog

MLflow

Databricks Jobs & Workflows

Strong programming ability in Python (pandas, numpy, scikit-learn).

Demonstrated experience with large-scale, multi-terabyte data processing.

Strong understanding of ML algorithms, distributed systems, and data optimization.

Preferred

Experience with MLOps and production deployment pipelines.

Strong grasp of AWS-native data and compute services.

Understanding of CI/CD using GitHub Actions, GitLab CI, or similar.

Familiarity with deep learning frameworks (TensorFlow, PyTorch).