Machine Learning Ops Engineer

Build the bridge from model to production.

Porto
durée indéterminée
IT
01.07.2026
A plein temps

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Love what you do – we make employment happen!

Are you a passionate MLOps Engineer eager to take on a new challenge that has the potential to revolutionize the European Job Ads Market? Then keep reading!

Great models are worthless if they never make it into production. That's where you come in: as our MLOps Engineer, you build the infrastructure that turns prototypes into reliable, scalable systems serving millions of job seekers. You'll design end-to-end ML pipelines, keep models fast and stable in production, and set the standards our data scientists build on. Kubernetes, CI/CD, LLM frameworks and cloud platforms are your daily tools, not buzzwords. If you love automation and take pride in systems that just work, keep reading.

Nous sommes: Tu as certainement déjà entendu parler de jobup.ch ? Il s'agit de l'une des nombreuses marques appartenant à JobCloud. Nous sommes l’entreprise numérique leader sur le marché de l’emploi en Suisse et cherchons à rendre la recherche d'emploi et de personnel le plus simple possible. Love what you do – we make employment happen !

Au fait : ta couleur, ton identité de genre ou tes croyances ne nous intéressent pas... Come as you are, c'est plus que suffisant.

QUELLES SONT TES MISSIONS ?

Design, build, and maintain end-to-end ML pipelines from data ingestion to model deployment and monitoring
Collaborate with data scientists and cloud engineers to productionize ML models and establish best practices
Develop and maintain model serving infrastructure with focus on scalability, reliability, and low latency
Manage ML experiment tracking, model versioning, and model registry systems
Monitor model performance in production and implement alerting systems
Implement security best practices for ML systems and ensure compliance with data governance policies
Document MLOps processes, architecture decisions, and runbooks

QUELLES QUALIFICATIONS ATTENDONS-NOUS ?

2-3 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

QUE PROPOSONS-NOUS ?

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

QUELS SONT NOS 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)
Formation & développement des compétences
Workation

TA PERSONNE DE CONTACT

Sonia Couto
Head of Operations