ML Engineer: Build Scalable AI Systems with Real Impact

Fyld; Porto; Presencial; EUR 50 000 - 80 000; Tempo integral

Resumo da oferta

Fyld is seeking an experienced Machine Learning Engineer to design, deploy, and optimize AI solutions with technical rigor. You will contribute to scalable ML pipelines, production-ready models, and data processing strategies, collaborating with a close-knit team to deliver real business value.

The role requires strong Python skills, experience with major ML frameworks, MLOps practices, cloud platforms, and containerization.

Qualificações

• 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 ML 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 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

Responsabilidades

• Design, deploy and optimize machine learning solutions
• Build scalable ML pipelines and production-ready systems
• Integrate ML models into APIs or backend applications
• Collaborate with teams to deliver real business value

Conhecimentos

Python

ML model deployment

ML pipelines

MLOps

Cloud ML platforms

Docker/Kubernetes

API integration

SQL

English fluency

Formação académica

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or related fields

Ferramentas

MLflow

Kubeflow

CI/CD pipelines

Docker

Kubernetes

Descrição da oferta de emprego

Fyld is seeking an experienced Machine Learning Engineer to design, deploy, and optimize AI solutions with technical rigor. You will contribute to scalable ML pipelines, production-ready models, and data processing strategies, collaborating with a close-knit team to deliver real business value.

The role requires strong Python skills, experience with major ML frameworks, MLOps practices, cloud platforms, and containerization.