11 days ago
Milan, ItalyMid Level / Senior

Responsibilities

  • Design and develop AI/ML solutions with Databricks and Azure OpenAI from prototyping through production release.
  • Build RAG architectures and vector search systems for knowledge management and document-query applications.
  • Implement MLOps pipelines covering model training, evaluation, deployment, monitoring, and updating.
  • Develop and orchestrate AI agents and intelligent workflows integrated with business processes.
  • Integrate AI capabilities through APIs, gateways, and cloud services.
  • Define and apply security, governance, compliance, traceability, monitoring, and data-protection standards.
  • Contribute to the evolution of the enterprise AI platform and adoption of technology best practices.
  • Support experimentation and innovation involving generative AI technologies and use cases.

Requirements

  • 3–5 years of experience as an AI Engineer, ML Engineer, or in a similar enterprise role.
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or a related discipline.
  • Knowledge of Databricks and Microsoft Azure Foundry capabilities.
  • Experience with machine learning frameworks and libraries for developing agents and LLM-based applications.
  • Knowledge of RAG architectures, retrieval systems, and AI-agent orchestration.
  • MLOps skills and familiarity with CI/CD, monitoring, and model lifecycle management.
  • Excellent Python skills and good familiarity with SQL.
  • Familiarity with Azure cloud environments and observability and monitoring tools.
  • Knowledge of Docker, Kubernetes, event-driven architectures, or Databricks/Microsoft Azure AI certifications is preferred.
  • Good English skills, analytical and problem-solving abilities, ownership, autonomy, teamwork, and willingness to travel occasionally.

Benefits

  • Permanent employment contract under the Gas Acqua collective agreement.
  • Opportunity to work on innovative generative AI, MLOps, and intelligent automation projects.
  • Ongoing professional training focused on emerging technologies and AI platforms.
  • Corporate welfare benefits, meal vouchers, and a company share ownership plan.
  • Smart working available for up to 10 days per month.
  • Position based in Milan or Turin.
Italgas S.p.A.

About Italgas S.p.A.

1,001-5,000 employees
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