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 Deployment: Package models into containerised services, expose them via APIs, and deploy to cloud ML platforms for scala...