Machine Learning Engineer

JobCloud AG

Portugal

Hybrid

EUR 65,000 - 95,000

Full time

14 days+

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Benefits offered by this job

Sick leave 10 days

Vacation 25 days

Health coverage (private)

Gym allowance

Learning & Development

Workation

Hybrid & flexible work

Job summary

JobCloud HR Tech in Porto, Portugal seeks a Senior Machine Learning Engineer to lead production ML systems and scalable infrastructure. You will mentor teammates and drive architectural decisions across Data Science, Engineering and Operations.

Join a cross-functional team that transforms prototypes into robust services delivering real business value, with a hybrid work model and opportunities to collaborate across European offices.

Qualifications

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.

Responsibilities

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

Skills

Python

ML Engineering

MLOps

LLMs & RAG

Leadership

English (Fluent)

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 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.

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