Cloud AI/ML Engineer — MLOps & Production Systems

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

Resumo da oferta

A leading technology firm in Porto is looking for a versatile AI / Machine Learning Engineer. In this role, you will design and implement scalable ML systems, ensuring a bridge between data science and production applications. Applicants should have over 3 years of experience, strong expertise in Python and machine learning frameworks like TensorFlow and PyTorch, and excellent problem-solving skills. This is a full-time position offering opportunities for growth in a diverse environment.

Qualificações

• 3+ years of professional experience in a Machine Learning Engineer or similar role.
• Strong expertise in Python and object-oriented programming with a focus on best practices.
• Experience with major Machine Learning frameworks and libraries.
• Proficiency in SQL and working with large datasets.
• Very good level of English for effective communication.

Responsabilidades

• Design and implement end-to-end Machine Learning pipelines.
• Collaborate with Data Scientists to translate prototypes into scalable code.
• Develop efficient code using Python and ML frameworks.
• Implement monitoring solutions for production models.
• Work with Data Engineers for efficient data preparation.

Conhecimentos

Machine Learning frameworks (e.g., TensorFlow, PyTorch)

Python

SQL

Cloud platforms (AWS, GCP, Azure)

MLOps principles

Analytical skills

Containerization (Docker, Kubernetes)

Formação académica

Advanced degree (M.S. or Ph.D.) in Computer Science, Engineering, or a related field

Ferramentas

MLflow

Kubeflow

Spark

Descrição da oferta de emprego

A leading technology firm in Porto is looking for a versatile AI / Machine Learning Engineer. In this role, you will design and implement scalable ML systems, ensuring a bridge between data science and production applications. Applicants should have over 3 years of experience, strong expertise in Python and machine learning frameworks like TensorFlow and PyTorch, and excellent problem-solving skills. This is a full-time position offering opportunities for growth in a diverse environment.