You turn raw data into models that make decisions. In production. Reliably.
About BindWorks
BindWorks is a Portuguese IT consultancy built differently. We’re not a CV farm. We’re not a body shop. We are a team of engineers, architects, and delivery professionals who genuinely care about the work we do — and about the people who do it.
We partner with national and international clients to build meaningful, lasting technology: cloud-native platforms, data ecosystems, AI-powered products, and complex enterprise systems. We invest in long-term relationships — with our clients and with our people.
If you want to work on real challenges, grow fast, and be part of a company where your voice matters and your craft is respected — you’re in the right place.
Our engineering culture is built on four pillars:
️ • Ownership
we don’t just deliver tasks, we own outcomes
️ • Craft
clean, well-designed, maintainable software is non-negotiable
️ • Growth
we invest in people through certifications, mentoring and challenging projects
️ • Transparency
flat hierarchy, honest communication, no corporate noise
The Role
We’re looking for an AI Data / ML Engineer who bridges the gap between data engineering and machine learning — someone who can build the pipelines, train the models, and make sure they keep working once they’re in production.
You’ll work on challenging analytics and ML problems across different industries: from predictions and classification to recommendations and anomaly detection. This is a role for people who care about the full lifecycle — not just the notebook.
Tech Stack
✔ Python
✔ pandas / NumPy
✔ scikit-learn
✔ PyTorch / TensorFlow
✔ XGBoost
✔ SQL
✔ Git
✔ CI/CD
✔ Cloud (Azure / AWS / GCP)
✔ MLflow / Azure ML
✔ Databricks
✔ SageMaker
Nice to have
✔ Spark / PySpark
✔ Delta Lake
✔ Airflow
✔ dbt
✔ Kubeflow
✔ NLP
✔ Computer Vision
✔ Forecasting
✔ Recommendation Systems
✔ Kubeflow
What You’ll Do
️ • Develop, train, evaluate and continuously improve machine learning models
️ • Build end-to-end data pipelines: preparation, validation, feature engineering, training
️ • Translate business problems into concrete analytical and predictive approaches
️ • Deploy models to production and implement monitoring, versioning and retraining processes
️ • Work with structured and unstructured data in cloud and on-premises environments
️ • Communicate results, limitations and insights clearly to technical and non-technical stakeholders
What We Need From You
️Non-negotiable
️ • Solid Python skills + experience with ML libraries: pandas, NumPy, scikit-learn, PyTorch or TensorFlow
️ • Strong grounding in statistics, supervised learning and unsupervised learning
️ • Experience with SQL and large-scale data manipulation
️ • Knowledge of feature engineering, model evaluation and production deployment best practices
️ • Familiarity with Git, CI/CD and cloud environments
️ • Ability to explain technical results to non-technical audiences
️Strong differentiators
️ • Experience with MLflow, Kubeflow, Azure ML, Databricks or SageMaker
️ • Knowledge of Spark, Delta Lake, Airflow or dbt
️ • Domain experience in NLP, computer vision, forecasting or recommendation systems
What We Offer
️ • Projects that matter
Challenging, modern-stack projects for national and international clients — no boring maintenance-only roles.
️ • Real ownership
You’ll have a genuine say in architecture, technical decisions and delivery — not just tickets to close.
️ • Continuous growth
Certifications, technical training and a culture that rewards curiosity — we co-invest in your development.
️ • Flexible work
Hybrid or remote working model, depending on the project — we trust you to deliver.
️ • Engineering culture
Code reviews, architecture discussions, internal knowledge-sharing — we take craft seriously
️ • Health insurance
Private health insurance included from day one
️ • Competitive package
Salary aligned with your experience and market — we don’t lowball good people
️ • Career path
Clear progression framework with regular check-ins — no guesswork about your next step
️ • Great team
Small enough to know everyone, experienced enough to challenge you daily
Diversity & Inclusion
BindWorks is committed to building a team that reflects the world we live in. We evaluate every candidate on skills, mindset, and potential — never on gender, ethnicity, nationality, age, disability, sexual orientation, religion, or background. If you need any adjustments during our recruitment process, just let us know.
