Senior Ml Engineer - Production Pipelines & Mlops

RequirementsPython-based ML development (production ML pipelines & models)ML frameworks: Scikit-learn, XGBoost/Light GBM/CatBoost, and PyTorch or TensorFlowFeature engineering & feature pipelines (large-scale, automated where applicable)Big data processing: Apache Spark / PySpark, Databricks, Delta LakeMLOps: MLflow (experiment tracking, model registry), model versioning, retraining pipelinesDeployment & Ops: Docker, Kubernetes, REST APIs (FastAPI/Flask), CI/CD and cloud ML services (AWS/Azure/GCP)#J-*****-Ljbffr