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

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)

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.
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.

AI/Data Engineer

Key skills