ML Engineer

A Company you will be happy to grow with!

At InnoTech, it's all about connecting people with business through technology.

We truly care about you, your happiness, and your well-being. We look for passionate people who are eager to learn, evolve, and grow with us - because growth is in our DNA.

This commitment has been consistently recognized: we are proud to be a Great Place to Work for five consecutive years, to be one of the Best IT Companies in Portugal, and to be recognized as a Best Workplace Wellbeing.

We are also proud to hold ISO 27001 and ISO 9001 certifications, reinforcing our commitment to information security, quality, and continuous improvement.

For us, sustainability is not just a buzzword. Integrity, social responsability, and people-first values guide everything we do.

Join our team of 180+ InnoTechers and bring your talent as a ML Engineer.

Your Mission Will Be

- Design, develop, and maintain scalable data pipelines and ML infrastructure that support data-driven products;

- Build and deploy production-ready machine learning services, APIs, and end-to-end ML workflows;

- Establish MLOps practices, including CI/CD, testing, data quality, monitoring, and model lifecycle management.

You Will Need

- At least 5 years of professional experience as a Machine Learning Engineer and/or Backend Engineer, with strong Python or similar programming skills;

- Hands-on experience with end-to-end ML pipelines, model deployment, ML APIs, MLOps frameworks such as MLflow or Kubeflow, and ML lifecycle management;

- Experience with AWS ML services, particularly SageMaker, as well as SQL/NoSQL databases, Docker, and Kubernetes;

- CPLP nationality or an EU work permit is required to facilitate employment.

Would Be Awesome If You Have

- BSc or MSc in Computer Science/Engineering, Information Technology, or related fields;

- Experience with Computer Vision, NLP, TensorFlow, PyTorch, Scikit-Learn, or Pandas;

- Knowledge of Infrastructure as Code tools such as Terraform or CloudFormation, as well as asynchronous messaging solutions;

- Familiarity with monitoring and observability practices for ML systems and cloud-based infrastructures.

What We Offer

- Health-focused partnerships, including free mental health support;

- 25 days of vacation, including your birthday, Carnival, and a bridging day between Christmas and New Year;

- Half a vacation day on your children's birthday and a school supplies voucher;

- Petsitting partnerships and a pet bereavement day;

- Regular team buildings, four annual company parties, game nights, and social events;

- InnoSports initiatives (football, marathons, and more);

- Events focused on sustainability and social responsability actions.

Are you convinced? Come see it for yourself.

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