Machine Learning Ops Engineer
Build the bridge from model to production.
- Porto
- Permanent
- IT
- 01.05.2026
- Full-time
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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.
WHAT IS JOBCLOUD HR TECH?
JobCloud HR Tech is the Porto, Portugal based company of JobCloud, Switzerland’s number 1 job ads brand and the company behind jobs.ch and jobup.ch. We build software that helps companies spend their hiring budget efficiently and get their job ads in front of the right candidates. Millions of job seekers and thousands of companies use our platform to find each other.
WHAT IS IT LIKE TO WORK AT JOBCLOUD?
We work as one team of experts in our field. Our culture is inclusive and respectful, and it is built on openness and collaboration. Your skills and motivation count. Your skin colour, gender and beliefs do not matter to us. Come as you are. Our purpose is “Love what you do.”
WHAT ARE YOUR TASKS?
- 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
WHAT QUALIFICATIONS DO WE REQUIRE?
- 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
WHAT DO WE OFFER?
- 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
- 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
- Learning & Development
YOUR CONTACT PERSON
Head of Operations