L’offerta in breve

Lutech Group: Machine Learning Engineer | Digital Health. Lavoro in sede in Italia, a Roma. Retribuzione dichiarata: RAL from €26k, plus meal vouchers. Tecnologie indicate: Python, Docker, Kubernetes, PyTorch, TensorFlow, scikit-learn, XGBoost, Hugging Face, MLflow, LangChain, RAG, Qdrant, FastAPI.

Responsabilità e requisiti sono riportati nel riepilogo editoriale qui sotto, nella lingua disponibile. Verifica i dettagli nell’annuncio dell’azienda prima di candidarti.

Sul ruolo

Lutech is hiring a Machine Learning Engineer for its Rome R&D team, working on AI and data intelligence solutions in healthcare, document intelligence, and other information-rich domains. The work spans multimodal and generative AI, predictive models, semantic data interoperability, and the development of heterogeneous data pipelines, including healthcare standards such as FHIR and DICOM.

You’ll contribute to research deliverables, develop and validate models, and help move prototypes into production. The role includes reproducible ML pipelines, model versioning, deployment automation, performance monitoring, and retraining. Lutech seeks a candidate with a relevant scientific master’s degree and practical data-driven project experience, plus skills in Python, machine learning, generative AI, and MLOps. The advertised gross annual salary starts at €26,000, with a variable component possible, under the Metalmeccanico contract; the package also includes meal vouchers.

Highlights

Apply machine learning and generative AI to healthcare and document intelligence.
Work with multimodal data and healthcare interoperability standards.
Carry models from research prototypes into production and ongoing monitoring.
Advertised gross annual salary starts at €26,000, plus meal vouchers.

Questo recap è un riassunto editoriale di dataskew, non il testo dell'azienda.