Machine Learning Engineer
Machine Learning Engineer
As a Machine Learning Engineer you’ll have the opportunity to collaborate with a leading European mobility services provider, backed by nearly 90 years of expertise. As part of this journey, you’ll contribute to the launch of a new Tech Hub in Portugal, helping to drive innovative, technology-led solutions that are transforming how businesses move while contributing to a more sustainable future.
YOUR ROLE AS A MACHINE LEARNING ENGINEER
- Develop and operate ML/AI solutions in production environments;
- Build APIs, integrations, and CI/CD pipelines to deploy and manage ML models;
- Monitor model performance, data quality, drift, and reliability;
- Support model lifecycle activities including retraining, versioning, and rollback;
- Collaborate with Data Science, Engineering, Product, and AI teams to deliver business value;
- Contribute to LLMOps, model governance, and continuous improvement initiatives;
- Participate in code reviews, incident management, and Agile delivery processes.
YOUR PROFILE
- +3 years of experience in Software Engineering, ML Engineering, or similar roles;
- Proven experience deploying and operating ML models in production;
- Strong knowledge of the end-to-end ML lifecycle and MLOps best practices;
- Proficiency in Python, API development, testing, and software engineering practices;
- Hands-on experience with CI/CD, MLflow, model registries, and model monitoring;
- Experience with containerization, distributed processing, and model serving;
- Strong analytical skills and ability to work in cross-functional Agile teams;
- Experience in payments, fraud, or fintech environments (nice to have);
- Knowledge of AI governance, model risk management, and EU AI Act requirements (nice to have);
- Familiarity with LLMOps and Generative AI operational frameworks (nice to have).
- Strong English (international working environment).
Wondering what happens after you apply? See how our recruitment process works.
Be Bold · Work Smart · Change Tomorrow
We started this company with a simple observation: most organizations don’t struggle because they lack technology — they struggle because solutions are too complex, disconnected from reality, or hard to sustain over time. Data and AI can create enormous value. But only when they are designed with clear intent, solid foundations, and a realistic understanding of how organizations actually operate. We’re a young, fast-growing company with plenty of opportunities to learn, evolve, and build something meaningful together.