Machine Learning Engineer

Software Engineer - Machine Learning

Were building the next generation of ML systems deploying, monitoring, and scaling models in production while collaborating with Data Science and GenAI teams. If youre excited about production-grade ML, automated retraining, and real-time performance monitoring, this role is for you!

Key Responsibilities Area

• Deploy scikit-learn, XGBoost, and LightGBM models as REST/gRPC services with FastAPI/Triton, fully containerized in Docker.
• Build automated pipelines for retraining, validation, and deployment using MLflow, DVC, and Airflow.
• Design drift detection and rollback workflows to safeguard accuracy and reliability in production.
• Instrument real-time performance and data-quality metrics in Grafana/Prometheus with SLA-based alerting.
• Transform feature-engineering code into reusable SDKs and support seamless integration with applications.
• Bring strong Python expertise (FastAPI/Flask, pytest) and hands-on experience with production ML systems.
• Proven expertise in SQL for feature engineering and data wrangling in production-grade pipelines.
• Experienced in CI/CD tooling (GitHub Actions, Jenkins), Git workflows, and Linux-based operations.
• Collaborate with cross-functional teams to deliver, monitor, and iterate on ML services in production.