Machine Learning Engineer

Description

Job Summary: We are hiring a Machine Learning Engineer to build and maintain ML pipelines in production, monitor models, and manage versioning of data and models. Key Highlights: 1. Building ML pipelines in production 2. Model monitoring and observability 3. Model and data versioning We are hiring a Machine Learning Engineer for remote work (Home Office). Requirements: • Python • Apache Spark / PySpark • SQL • Building ML pipelines in production (training, inference, and re\-training) • Inference APIs for Machine Learning models • CI/CD applied to data and ML projects • Model monitoring and observability (data, performance, and drift) • Model and data versioning • Feature Store and consistency between training and inference • Experience handling production incidents and ML system governance • Advanced English Desirable: • MLflow, Docker, Kubernetes, Grafana, Prometheus • Airflow / Prefect / Metaflow / Dask • Frameworks: scikit\-learn, TensorFlow, PyTorch • Data Lake/Lakehouse architecture (Unity Catalog) • Model explainability and evaluation • SAS Enterprise Guide