Machine Learning Engineer

Description

Job Summary: We are hiring a Machine Learning Engineer to build and manage ML pipelines in production, inference, monitoring, and model versioning. Key Highlights: 1. Experience building ML pipelines in production 2. Knowledge of model monitoring and observability 3. Focus on model and data versioning and Feature Store We are hiring a Machine Learning Engineer for remote work. 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