2 of 2 Permanent PySpark Jobs in Erskine

Required Skills & Experience Proven experience in MLOps or DevOps roles within machine learning environments. Strong programming skills in Python, with hands‐on experience in PySpark and SQL. Deep understanding of ML lifecycle management and CI/CD best practices. Familiarity with cloud‐native ML platforms and scalable deployment strategies. ...

TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Work with large‐scale data using PySpark and integrate models into production environments. Monitor model performance and retrain as needed to ensure accuracy and efficiency. Collaborate with cross‐functional teams ...