About the role
Sidea Group is hiring an MLOps/Generative AI Engineer to act as the technical reference for designing, developing, deploying and optimising AI/ML solutions on Google Cloud. The role sits at the intersection of cloud data engineering, MLOps automation and generative AI, supporting enterprise-grade platforms that are scalable, secure and production ready.
You will architect and evolve AI/ML infrastructure on GCP, build automated data pipelines for real-time and batch model serving, implement CI/CD and infrastructure as code, orchestrate workloads with Kubernetes, and integrate AI models with internal systems through modern protocols such as A2A and MCP. You will also validate LLM and generative AI models for safety, explainability and robustness, and apply cloud security, data governance and FinOps best practices. The position is based in Bari with smart working flexibility and reports into cross-sector projects alongside.
Highlights
- Design and evolve AI/ML platforms on Google Cloud Platform
- Build MLOps pipelines with GitHub Actions, Terraform, Kubernetes and Docker
- Work with LangChain, Vertex AI, RAG, fine-tuning LLM and prompt engineering
- Hybrid working in Bari with flexible hours and a welfare plan
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