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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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.
TES TÂCHES
- 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
TON PROFIL
- 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
- 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
NOTRE OFFRE
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)
TA PERSONNE DE CONTACT
Our Hiring Process
- Presentation of the project and company ~ 30 mins
- Conversation with hiring manager ~ 1 hour
- Technical challenge (at your best convenience)
- Challenge presentation ~1h-1.5 hour
- Offer
Senior Talent Acquisition Partner
+41 79 349 32 51