Interested candidates can send there profile to [email protected]

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.
- Robust 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

📌 Data and ML Engineer (Mumbai)
🏢 Abacus Service
📍 Mumbai