Machine Learning Engineer
mainfyld
- Lisbon, Portugal +1
- Mid Level
- Bachelor's degree
- Posted
Skills
Required
- Machine Learning models
- ML
- AI
- Artificial Intelligence
- Data Science
- Python
- scikit-learn / TensorFlow / PyTorch
- MLOps
- MLflow
- Azure
- Docker
- Kubernetes
- SQL
- 📩 Want to be part of it? Send your CV to
- [email protected]
- Fyld. Code for what really matters.
About mainfyld
Fyld is hiring: Machine Learning Engineer
- 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.
- 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.
- Focus on meaningful solutions and real results
- Respect, transparency, and continuous growth
Responsibilities
- Access to continuous training and certifications
Requirements
- 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)
- Experience with Docker, Kubernetes and CI/CD pipelines is valued
- 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
- Critical thinking and autonomy
Benefits
- A collaborative team that values individual progress
- 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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