Experienced Machine Learning Engineer — Build Scalable AI

Fyld; Porto; Presencial; EUR 40 000 - 70 000; Tempo integral

Resumo da oferta

Fyld is a Portuguese consulting company that focuses on transparent growth and delivering scalable AI solutions. We seek a Machine Learning Engineer with hands-on experience in designing, deploying, and optimizing ML systems.

You’ll join a team that values rigor, collaboration, and continuous learning as we build real business value. Ideal candidates have strong Python skills, experience with ML frameworks, and a track record of deploying production ML solutions across cloud platforms and ML

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 using 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 model monitoring.
• Experience integrating ML models into APIs or backend applications.
• Knowledge of SQL and data processing techniques.
• Fluency in English.

Conhecimentos

Python

scikit-learn

TensorFlow

PyTorch

ML pipelines

MLOps

Docker

Kubernetes

CI/CD

Feature engineering

Model evaluation

Model monitoring

ML APIs

SQL

English fluency

Cloud ML platforms

Formação académica

Bachelor's or Master's in Computer Science / AI / Data Science / Mathematics

Ferramentas

MLflow

Kubeflow

Azure ML

SageMaker

Vertex AI

Descrição da oferta de emprego

Fyld is a Portuguese consulting company that focuses on transparent growth and delivering scalable AI solutions. We seek a Machine Learning Engineer with hands-on experience in designing, deploying, and optimizing ML systems.

You’ll join a team that values rigor, collaboration, and continuous learning as we build real business value. Ideal candidates have strong Python skills, experience with ML frameworks, and a track record of deploying production ML solutions across cloud platforms and ML