Portugal
NOS
Fyld
Machine Learning Engineer
Portugal
Lisbon, Portugal
PythonSQLAWSDockerKubernetes
About the opportunity
Fyld is hiring:
Machine Learning Engineer
Here, every project is an opportunity to build real, lasting, and scalable AI solutions.
Our philosophy? Code for Big Solutions — because we don’t just build models, we build intelligent systems that create real business value.
We're looking for an experienced Machine Learning Engineer with technical rigor and a passion for designing, deploying and optimizing machine learning solutions.
By joining Fyld, you'll be part of a team where every member is challenged to innovate, collaborate and grow.
Fyld. Code for what really matters.
At Fyld, we believe the future is built with people, technology, and strong values.
We are a Portuguese consulting company that operates with transparency, respect, and a focus on everyone’s growth.
Our Values
- Critical thinking and autonomy
- Focus on meaningful solutions and real results
- Respect, transparency, and continuous growth
Minimum requirements
Your Profile
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or related fields
- Strong programming skills in Python
- Experience developing and deploying Machine Learning models using frameworks such as scikit-learn, TensorFlow or PyTorch
- Experience building scalable ML pipelines and production-ready solutions
- Knowledge of MLOps practices and tools such as MLflow, Kubeflow or similar
- Experience with cloud ML platforms (Azure Machine Learning, AWS SageMaker or Google Vertex AI)
- Familiarity with feature engineering, model evaluation and model monitoring
- Experience integrating Machine Learning models into APIs or backend applications
- Knowledge of SQL and data processing techniques
- Fluency in English
- Experience with Docker, Kubernetes and CI/CD pipelines is valued
What you'll find at Fyld
- A collaborative team that values individual progress
- Access to continuous training and certifications
- A culture of proximity, respect, and recognition
- Challenging, purpose-driven projects where your talent as a Machine Learning Engineer has real impact
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