L’offerta in breve
TensorOps: Mid AI Engineer. Lavoro da remoto internazionale, aperto a candidati in Italia. Tecnologie indicate: Python, AWS, GCP, Azure, PyTorch, TensorFlow, scikit-learn, LangChain, RAG.
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
TensorOps is hiring an AI/ML engineer to build production ML and LLM systems for enterprise clients. Projects cover RAG pipelines, agentic workflows, fine-tuning, and embeddings, with deployments across AWS, GCP, and Azure. The role involves working directly with client engineering and product teams to turn business requirements into scoped technical solutions.
You will own delivery from architecture and prototyping through deployment, monitoring, and iteration. Responsibilities also include mentoring junior engineers, reviewing code, and shaping internal technical standards. The listing accepts mid-level candidates with at least two years of relevant experience and senior candidates with five or more, alongside demonstrated ability to deploy ML models independently.
Highlights
- Fully remote, with no mandatory office days and permission to work from wherever.
- Hands-on Python, GenAI, cloud deployment, and production MLOps work.
- Funded AWS and GCP professional certifications, plus company events and offsites.
Questo recap è un riassunto editoriale di dataskew, non il testo dell'azienda.