Job Description
ML Engineer
Location: Hybrid
Employment Type: Full-time
Roles & Responsibilities
- Model Development: Design, build, and deploy machine learning models across classical, time-series, and deep learning approaches to solve real business problems.
- Data Pipelines: Build and maintain reliable data ingestion and transformation pipelines, ensuring data quality, consistency, and reproducibility.
- Feature Engineering: Engineer high-quality features from structured and unstructured data, and manage them through feature stores for training and serving consistency.
- Experimentation: Run rigorous experiments using proper validation strategies, perform hyperparameter tuning, and benchmark models against well-defined baselines.
- Model De...