Welcome to Infraspeak.

Our mission is simple: to transform facilities management with a collaborative platform that unifies every part of FM operations into one cohesive system — enabling every stakeholder to Work as One.

We go beyond traditional tools, eliminating fragmented systems in complex operations. Our platform ensures end-to-end collaboration across FM teams, processes and assets — with no silos, blind spots or overload.

Born in Porto, Portugal, we’re now a global company serving customers in 30+ countries and backed by top investors. But we’re just getting started.

• We believe in ownership, collaboration, and meritocracy.

• We believe that only great teams build great products — and that includes our customers.

• We believe happiness is in the journey, not just the destination.
  
  

Above all, we are guided by our purpose: to Be a Source of a Good Life — for our customers, our team, and the broader community.

What are we building?

We’re looking for a Machine Learning Engineer with a strong applied AI mindset and solid data analysis skills to help us build, deploy, and improve intelligent systems in production.
This role sits at the intersection of AI engineering and data science. You’ll work with real-world data, build and integrate ML/AI models into our products, analyse outcomes, and continuously improve performance based on data and feedback.
You’ll collaborate closely with product, backend engineers, and data stakeholders to turn data and models into reliable, scalable features.

What will you do?

• Design, build, and deploy machine learning / AI solutions for production use
  

• Work with structured and unstructured data to extract insights and build features
  

• Analyse model performance, experiment results, and business metrics
  

• Develop and maintain data pipelines supporting training, inference, and analytics
  

• Integrate AI models into backend systems and APIs
  

• Iterate on models using feedback loops, monitoring, and evaluation metrics
  

• Collaborate with product and engineering teams to define AI-driven features
  

• Contribute to technical decisions around tools, architecture, and best practices

Who are we looking for?

Required

• Strong experience with Python
  

• Experience building and deploying ML / AI models in production
  

• Solid understanding of data analysis, statistics, and experimentation
  

• Hands-on experience with common ML libraries (e.g. scikit-learn, PyTorch, TensorFlow, or similar)
  

• Comfort working with SQL and data warehouses or analytical databases
  

• Experience integrating models into APIs or backend services
  

• Ability to reason about trade-offs between accuracy, latency, scalability, and cost
  

Nice to have

• Experience with LLMs, embeddings, or GenAI workflows
  

• Familiarity with MLOps practices (model versioning, monitoring, retraining)
  

• Experience with cloud platforms (AWS, GCP, Azure)
  

• Knowledge of data visualisation or reporting tools
  

• Background in software engineering best practices (testing, CI/CD)
  

What this role is not

• Pure research or academic ML
  

• Pure data analysis / BI
  

• Dashboard-only analytics
  

• Model training without ownership of production impact

If your background is stronger in AI engineering or stronger in data science, but you’re excited to grow into the other side, we still encourage you to apply.

What do we offer?

• Flexible working hours and a remote-friendly culture.

• Competitive salary and perks.

• Modern office with everything you need, located in central Porto.

• A startup environment, where you will see the company (and yourself) grow beyond a dozen people to a worldwide reference in the field (some people call it ambition, we call it focus).

• A balanced work environment where you will have autonomy, responsibility, ownership, and freedom to make mistakes and to learn from them.

• Regular events to promote knowledge sharing and team engagement.

At Infraspeak, everyone is equal, unique, and valued. We believe diversity makes us stronger — shaping our culture, our business, and the world around us for the better — and we're committed to ethical talent acquisition, grounded in respect, fairness, and equal opportunity.

Our code of conduct is clear: discrimination has no place here — whether based on age, disability, gender, race, religion or belief, civil or parental status, political views, or any other basis protected by law.

"To be a source of a good life" isn't just a statement — it's our mission, and everyone is welcome to join us on that journey.