Machine Learning Engineer

Fyld

Portugal

Presencial

EUR 55 000 - 85 000

Tempo integral

Há 5 dias
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Resumo da oferta

Fyld, a Portuguese consulting company, is hiring a Machine Learning Engineer to design, deploy and optimize scalable ML solutions. You will work across data science and engineering teams to translate business needs into robust models and production-ready pipelines.

The role emphasizes technical rigor, MLOps practices, cloud platforms, and building APIs, with opportunities to grow in a values-driven environment that prioritizes transparency and collaboration.

Qualificações

  • Bachelor's or Master's degree in Computer Science, AI, Data Science, Mathematics, or related fields.
  • Strong programming skills in Python.
  • Experience developing and deploying ML models with 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 ML, AWS SageMaker or Google Vertex AI).
  • Experience with Docker, Kubernetes and CI/CD pipelines is valued.
  • Familiarity with feature engineering, model evaluation and monitoring.
  • Experience integrating ML models into APIs or backend applications.
  • Knowledge of SQL and data processing techniques.
  • Fluency in English.

Responsabilidades

  • Design, deploy and optimize machine learning solutions.
  • Develop scalable ML pipelines and production-ready systems.
  • Integrate ML models into APIs or backend applications.
  • Apply MLOps practices and monitor model performance.
  • Collaborate with data, product and engineering teams.

Conhecimentos

Python
ML model development
ML deployment
ML pipelines
MLOps
Cloud platforms
Docker
Kubernetes
API integration
SQL
English

Formação académica

Bachelor's or Master's in CS/AI/DS/Math

Ferramentas

MLflow
Kubeflow
Docker
Kubernetes
CI/CD
AWS SageMaker / Azure ML / Vertex AI

Descrição da oferta de emprego

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.

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)
  • 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
  • Fluency in English
Our Values:
  • Critical thinking and autonomy
  • Focus on meaningful solutions and real results
  • Respect, transparency, and continuous growth
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

Fyld. Code For What Really Matters.

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