Machine Learning Engineer

Ship models that move the business, not just the metrics.

  •     
  • Porto
  • durée indéterminée
  • IT
  • 01.07.2026
  • A plein temps

 

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Des collaborateurs souriants travaillant à table

  • 2-3 years of experience in ML Engineering, MLOps, or closely related roles
  • Proven experience deploying and maintaining machine learning models in production at scale
  • Strong Python skills, including experience with data and ML ecosystems
  • Familiarity with LLMs, RAG, and emerging AI paradigms (e.g., agent-based systems)
  • Hands-on experience with cloud platforms (e.g., AWS) for building and operating ML systems
  • Experience with containerization (Docker) and building production-ready services
  • Demonstrated ability to lead technical projects and make architectural decisions
  • Full professional proficiency in English

NOTRE OFFRE

  • 1 day per month to tackle challenges inside the project, or test new ideasTech 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
  • Formation & développement des compétences
  • Workation
  • Hybrid & flexible working (team-based arrangement)
 

 

TA PERSONNE DE CONTACT

Sonia Couto
Head of Operations
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