Machine Learning Engineer | Digital Health
L’offerta in breve
Lutech Group: Machine Learning Engineer | Digital Health. Lavoro in sede in Italia. Retribuzione dichiarata: From €26k gross/year. Tecnologie indicate: Python, Docker, Kubernetes, PyTorch, TensorFlow, scikit-learn, XGBoost, Hugging Face, MLflow, LangChain, RAG, Qdrant, FastAPI.
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Sul ruolo
Lutech is hiring a Machine Learning Engineer for its R&D work in AI and data intelligence, with applications including healthcare and document intelligence. The role spans multimodal and generative AI, predictive models, and semantic interoperability for structured and unstructured data. You would contribute research prototypes and collaborate with domain stakeholders to identify practical problems for new projects and products.
The work also covers the path from research to production: building reproducible pipelines, validating models for robustness and explainability, and maintaining deployed solutions through monitoring, updates, and retraining. The listing seeks a relevant scientific master’s degree and practical data project experience, with Python and machine learning or generative AI tools among the stated skills. Compensation starts at €26,000 gross annually under the Metalworking CCNL, at C1/C2 classification, and includes meal vouchers.
Highlights
- Research and development in healthcare and document intelligence
- Multimodal AI, generative AI, and predictive modeling
- Semantic interoperability, including FHIR and DICOM
- Model deployment, monitoring, and retraining
Questo recap è un riassunto editoriale di dataskew, non il testo dell'azienda.