Machine Learning Ops Engineer

Build the bridge from model to production.

  •     
  • Porto
  • durée indéterminée
  • IT
  • 01.05.2026
  • A plein temps

 

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Collaborateurs qui détiennent le Kununu Award 2025

  • 5+ years of experience in MLOps, DevOps, or related production ML roles, including deploying ML/AI prototypes into production
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and cloud data warehouses, SQL/NoSQL databases and real-time data pipelines
  • Hands-on experience with container orchestration (Kubernetes, ECS, or similar)
  • Proficiency with CI/CD pipelines, Infrastructure as Code, and version control
  • Strong hands-on experience investigating and resolving ML workload failures in Linux environments using standard process, resource, logging, filesystem, service-management, and networking tools
  • Hands-on experience with modern ML frameworks (PyTorch, TensorFlow, or similar); familiarity with LLM frameworks, vector databases, and RAG architectures is a plus
  • Passion for automation and building reliable, well-crafted systems
  • Excellent communication skills and ability to work cross-functionally in an independent, self-organized way
  • Full professional proficiency in English

NOTRE OFFRE

  • 1 day per month to tackle challenges inside the project, or test new ideas
  • Tech training and human skills training and, budget for conferences
  • Opportunity to travel and collaborate in our various office locations for workshops or team-building events (Zurich, Geneva, Belgrade or Vienna)
  • A dynamic work environment that highly fosters a sense of fun while maintaining a productive atmosphere

Our Hiring Process

  • Video Call with People & Culture (30 mins)
  • Video Call with hiring manager (1 hour)
  • Technical challenge (at your best convenience)
  • Challenge presentation by video call (1h-1.5 hour)
  • Offer

BENEFITS

  • 10 days fully paid sick leave per year
  • 25 days of annual vacation leave
  • Full private health coverage (employee + up to 2 children to age 20)
  • Gym allowance
  • Hybrid & flexible working (team-based arrangement)
  • Workation
  • Formation & développement des compétences
 

 

TA PERSONNE DE CONTACT

Sonia Couto
Head of Operations
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