Senior Machine Learning Engineer

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

•     
• 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 Senior Machine Learning Engineer eager to take on a new challenge that has the potential to revolutionize the European Job Ads Market? Then keep reading!

We're seeking a Senior Machine Learning Engineer to join our cross-departmental Data Science unit. In this high-impact role, you'll work across multiple teams and projects throughout the organization, leading the development and deployment of production ML systems that serve diverse business needs. As a senior member of our team, you'll be responsible for architecting scalable ML infrastructure, mentoring team members, and driving technical excellence as we transform data science prototypes into robust production services that deliver value across the enterprise.

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

• Partnering with Data Science to translate experimental models into scalable, production-grade ML systems
• Designing and build high-performance, low-latency model-serving architectures and infrastructure
• Defining and enforce best practices for ML productionization, including coding standards, testing, and deployment strategies
• Leading cross-functional collaboration between Data Science, Engineering, and Operations as the primary technical interface
• Defining and implementing model performance monitoring (e.g., drift detection, data quality, inference metrics) to ensure reliability in production
• Driving innovation by evaluating new tools, frameworks, and methodologies, and promoting their adoption across the organization
• Developing and maintain technical documentation, system designs, and operational runbooks.

TON PROFIL

• 5+ 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

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