Production ML Engineer: Build Scalable Models & Pipelines
Link-Worldwide
Must-Have Skills
- Python-based ML development (production ML pipelines & models)
- ML frameworks: Scikit-learn, XGBoost/LightGBM/CatBoost, and PyTorch or TensorFlow
- Feature engineering & feature pipelines (large-scale, automated where applicable)
- Big data processing: Apache Spark / PySpark, Databricks, Delta Lake
- MLOps: MLflow (experiment tracking, model registry), model versioning, retraining pipelines
- Deployment & Ops: Docker, Kubernetes, REST APIs (FastAPI/Flask), CI/CD and cloud ML services (AWS/Azure/GCP)
Vacante publicada el 17 horas atrás
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