Cloud+MLOps Engineer

Vor 2 Tagen

Lugano, Tessin, Schweiz Artificialy Vollzeit

We are seeking a Cloud+MLOps Engineer to help design, build, and operate ML operations and agentic pipelines for large-scale AI systems. Your work will enable reliable, automated, and production-grade workflows for training, evaluating, and deploying intelligent agents.

Hard requirements (please DO NOT APPLY if you don't match all)
:

  • EU or Swiss nationality/C permit
    .
  • Strong cloud engineering experience
     (any major provider).
  • 3+ years of experience as an MLOps or DevOps/MLOps engineer
    .
  • Bachelor and Master degree in Computer Engineering
    , Computer Science, or related field.
  • Availability to work fully onsite
    in our office in Lugano and potentially on client's premises.

You will
:

  • Architect and maintain 
    ML workflows and agentic pipelines
     end-to-end.
  • Integrate model execution, data flows, evaluation loops, and orchestration into robust production systems.
  • Build scalable infrastructure across cloud environments.
  • Develop CI/CD and CT (continuous training) pipelines for ML workloads.
  • Ensure system reliability, observability, and security.
  • Collaborate closely with ML, software, and DevOps teams to optimize workflows and reduce time to production.
  • Automate infrastructure provisioning, configuration, and deployment processes.

Required

  • Bachelor+Master degree (best if top 5%) in Computer Engineering or the like.
  • Strong Python skills for tool automation and workflow orchestration.
  • Strong experience with 
    cloud environments
     (Azure, AWS, GCP).
  • Familiarity with cloud ML services and hybrid cloud architectures (AWS SageMaker, Vertex AI, ML).
  • Hands-on experience deploying 
    ML systems into production
    .
  • Experience with 
    containers
     and 
    Kubernetes
    . Experience with Infrastructure-as-Code and CI/CD practices.
  • Strong understanding of networking, security, and system monitoring.
  • Ability to work both independently and collaboratively with ML and engineering teams.
  • Proficient in English.

Desirable

  • Experience in 
    banking or other regulated environments
    .
  • Experience designing or maintaining 
    agentic systems
    , distributed training setups, or inference services.
  • Experience with monitoring and log management.
  • Proficiency in German, Italian, or French is a plus.

We offer

  • Full-time permanent contract.
  • Competitive compensation and growth opportunities.
  • Access to cutting-edge AI infrastructure and modern MLOps stacks.
  • High autonomy and impact on production-grade AI systems.
  • Mentorship and continuous learning.

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