Machine Learning EngineerShip models that move the business, not just the metrics.

JobCloud SA | jobup.ch - jobs.ch; Porto; Hybrid; EUR 45,000 - 65,000; Full time

Job summary

JobCloud HR Tech in Porto, Portugal, seeks a Machine Learning Engineer to translate experiments into scalable production ML systems and architect robust infrastructure. You will lead ML productionization efforts and mentor teammates in a high-impact, cross‑departmental Data Science unit.

The role emphasizes collaboration across Data Science, Engineering, and Operations, driving technical excellence as production services evolve for the European job ads market.

Qualifications

• 2-3 years in ML engineering, MLOps, or related roles.
• Experience deploying ML models in production at scale.
• Strong Python skills and ML ecosystem knowledge.
• Hands-on with AWS and Docker for production systems.
• Full professional English proficiency.

Responsibilities

• Translate experimental models into scalable, production-grade ML systems.
• Design high-performance, low-latency model-serving architectures.
• Define best practices for ML productionization, testing, and deployment.
• Lead cross-functional collaboration between Data Science, Engineering and Operations.
• Develop and maintain technical documentation and runbooks.

Skills

ML Engineering

MLOps

Python

LLMs/RAG

Cloud platforms

Docker

Tech leadership

English

Tools

Docker

AWS

Job description

Love what you do – we make employment happen!

Are you a passionate 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 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.

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 WILL YOU DO IN THIS ROLE?

• Partnering with Data Science to translate experimental models into scalable, production-grade ML systemsDesigning 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 interfaceDefining 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.

WHAT SKILLS & EXPERIENCE WILL HELP YOU SUCCEED?

• 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

WHAT DO WE OFFER?

• 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

WHAT ARE OUR 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
• Learning & Development
• Workation
• Hybrid & flexible working (team‑based arrangement)