ANRGI TECH

Machine Learning Engineer

• Design, develop, and deploy machine learning models and algorithms for production use with clear SLAs.
• Build and maintain scalable, reliable data pipelines (batch and streaming) for training and inference.
• Perform exploratory data analysis to uncover insights, define hypotheses, and guide feature design.
• Develop robust feature engineering processes; manage feature definitions, lineage, and reuse across teams.
• Implement model serving as APIs/services (REST/gRPC) using Flask/FastAPI/Django with proper versioning and rollback.
• Establish CI/CD for ML (testing, packaging, model artifacts) with automated deployments and canary/blue-green strategies.
• Set up experiment tracking, model registry, and reproducible training workflows.
• Define and monitor offline/online metrics.
• Implement observability across data, models, and services (latency, throughput, drift, data quality, cost).
• Collaborate with product, data, and platform teams to translate requirements into technical designs and roadmaps.
• Write clear documentation and participate in code reviews and mentoring.
• Participate in incident response and on-call rotations for ML services.

Lead – Senior Machine Learning Engineer