Machine Learning Engineer

JobCloud SA | jobup.ch - jobs.ch

Porto

Hybrid

EUR 60,000 - 90,000

Full time

22 hours ago
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Benefits offered by this job

10 days fully paid sick leave per year
25 days of annual vacation leave
Full private health coverage (employee
Gym allowance
Learning & Development
Workation
Hybrid & flexible working

Job summary

JobCloud HR Tech in Porto, Portugal seeks a Machine Learning Engineer to join the cross-departmental Data Science unit. You will lead the development and deployment of production ML systems, architect scalable infrastructure, mentor peers, and drive technical excellence as we transform prototypes into robust services.

We value hands-on Python, ML/DL expertise, and experience with cloud platforms, Docker, and production-ready workflows.

Qualifications

  • 2-3 years of experience in ML Engineering, MLOps, or closely related roles.
  • Proven experience deploying and maintaining ML models in production at scale.
  • Hands-on experience with Python and ML ecosystems.

Responsibilities

  • Translate experimental models into scalable, production-grade ML systems.
  • Define and enforce best practices for ML productionization, coding standards and deployment.
  • Lead cross-functional collaboration between Data Science, Engineering, and Operations as the primary technical interface.

Skills

Python
ML Engineering
MLOps
Cloud platforms
Docker
AWS
English
LLMs/RAG
Production services

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 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)
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