Senior ML Engineer — Build Scalable AI Solutions

Fyld; Lisboa, Porto; On-site; EUR 48,000 - 64,000; Full time

Job summary

Fyld PT is hiring a Machine Learning Engineer to design, deploy and optimize ML solutions for real business value. You will work on end-to-end ML projects, from data processing and feature engineering to model production and monitoring.

The role requires strong Python skills, experience with scikit-learn, TensorFlow or PyTorch, and familiarity with MLops, cloud platforms, Docker and Kubernetes. You’ll join a collaborative team in Portugal, with growth opportunities and continuous training.

Qualifications

• 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 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.

Skills

Python

ML frameworks

ML pipelines

MLOps

Cloud platforms

Docker

Kubernetes

CI/CD

Model deployment

APIs

SQL

English

Education

Bachelor's/Master's in CS/AI/Data Science

Tools

scikit-learn

TensorFlow

PyTorch

MLflow

Kubeflow

Azure ML

SageMaker

Vertex AI

Docker

Kubernetes

Job description

Fyld PT is hiring a Machine Learning Engineer to design, deploy and optimize ML solutions for real business value. You will work on end-to-end ML projects, from data processing and feature engineering to model production and monitoring.

The role requires strong Python skills, experience with scikit-learn, TensorFlow or PyTorch, and familiarity with MLops, cloud platforms, Docker and Kubernetes. You’ll join a collaborative team in Portugal, with growth opportunities and continuous training.