Data and ML Engineer

Interested candidates can send there profile to [email removed]

Required Skills & Experience

• 8+ years in MLOps, ML Engineering, Data Science, Data Engineering or Software Engineering, with significant production ML experience.
• Extensive hands-on Databricks experience, including MLflow, Unity Catalog, Delta Lake and Databricks Workflows/Lakeflow Jobs.
• Strong Python, PySpark and SQL skills.
• Hands-on experience with Kafka and Spark Structured Streaming, including stateful/event-time processing.
• Experience building real-time ML inference and decisioning pipelines.
• Strong understanding of feature engineering, offline/online features, training-serving parity and data leakage prevention.
• Experience with ML frameworks such as XGBoost, LightGBM or scikit-learn.
• Strong understanding of classification, regression, time-series/event-based and/or time-to-event prediction.
• Experience with model deployment, monitoring, model lifecycle management and CI/CD.
• Experience with cloud platforms such as Azure, AWS or GCP; Azure Databricks experience is desirable.
• Ability to make and communicate architecture decisions across ML, data and platform layers.

 Work Mode: Hybrid