L’offerta in breve

Fundamental: MLOps Engineer . Lavoro da remoto nell’UE, aperto a candidati in Italia. Livello: senior. Contratto: Full-time. Tecnologie indicate: Python, Go, Snowflake, Databricks, AWS, GCP, Azure, Kubernetes, Terraform, PyTorch, TensorFlow, MLflow, 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

Fundamental is hiring an MLOps Engineer to build and operate the infrastructure behind its NEXUS large tabular model. The role covers automated ML pipelines, CI/CD and orchestration, scalable model serving, low-latency inference, deployment safeguards, observability, GPU efficiency, and feature and data pipelines. The company describes its work as supporting enterprise decision-making with structured business data.

Candidates should have at least five years of MLOps or DevOps experience and experience building MLOps infrastructure from the ground up. The position calls for practical knowledge of model-serving frameworks, Kubernetes on a major cloud provider, infrastructure as code, training and inference pipelines, and Python, Bash, or Go. It also includes security, compliance, governance, and monitoring concerns. The listing offers salary and equity, health coverage, parental leave, and relocation support for office moves.

Highlights

Remote in Europe
Full-time role focused on ML systems and production infrastructure
Requires 5+ years of MLOps or DevOps experience
Salary and equity, health coverage, and parental leave

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