Hybrid ML Engineer — Production ML & MLOps

Powertalent; Setúbal; Híbrido; EUR 52 000 - 76 000; Tempo integral

Resumo da oferta

Powertalent is seeking a Mid Machine Learning Engineer to bring ML models into production, ensuring reliability and efficiency. You will collaborate with Data Scientists and Data Engineers to move models from development to real-world production environments.

As we build our MLOps practice from the ground up, you will shape how we deploy, monitor and manage ML models. This hands-on role offers ownership and the chance to build solutions from scratch.

Qualificações

• 3+ years of experience in Machine Learning.
• Strong Python skills.
• Good SQL knowledge.
• Experience with at least one cloud platform: AWS, GCP or Azure.
• Experience with CI/CD, such as GitHub Actions or Jenkins.
• Good understanding of MLOps fundamentals, including Git, pull requests, code reviews and versioning.
• Experience with ML frameworks such as TensorFlow, PyTorch or Scikit-learn.
• Experience deploying models using Docker and/or Kubernetes.
• Experience building APIs with FastAPI or Flask.
• Understanding of testing practices and frameworks such as pytest or unittest.
• Ability to work closely with technical teams and communicate clearly.
• Proactive mindset, ownership and willingness to learn.
• English B2 or higher.

Responsabilidades

• Deploy and manage Machine Learning models in production.
• Build and maintain CI/CD pipelines for ML workloads.
• Monitor model performance, failures and key metrics.
• Implement monitoring and basic alerting solutions.
• Write clean, maintainable and testable Python code.
• Work closely with Data Scientists and Data Engineers.
• Improve model performance and production response times.
• Help automate model retraining and deployment processes.
• Contribute to the development of our MLOps practices and infrastructure.

Conhecimentos

Python

SQL

MLOps basics

Git workflows

Cloud platforms

Model deployment

APIs (FastAPI/Flask)

Ferramentas

Docker

Kubernetes

GitHub Actions

Jenkins

FastAPI/Flask

PyTest/Unittest

TensorFlow

PyTorch

Scikit-learn

Descrição da oferta de emprego

Powertalent is seeking a Mid Machine Learning Engineer to bring ML models into production, ensuring reliability and efficiency. You will collaborate with Data Scientists and Data Engineers to move models from development to real-world production environments.

As we build our MLOps practice from the ground up, you will shape how we deploy, monitor and manage ML models. This hands-on role offers ownership and the chance to build solutions from scratch.