Distributed Cloud | Machine Learning Engineer

Devoteam; Porto; Presencial; EUR 40 000 - 60 000; Tempo integral

Resumo da oferta

A leading digital transformation firm in Porto is looking for a Machine Learning Engineer to build, deploy, and maintain scalable ML solutions. The role requires 3+ years of experience, proficiency in Python, and hands-on expertise with ML frameworks like TensorFlow and PyTorch. Collaborating with Data Scientists, you'll ensure models transition smoothly into production systems. The company values diversity and seeks innovative thinkers in technology.

Qualificações

• 3+ years of professional experience as an ML Engineer or Backend Engineer focused on Machine Learning.
• Strong expertise in Python and solid software engineering principles.
• Hands-on experience with TensorFlow, PyTorch, or Scikit-learn.

Responsabilidades

• Design and implement end-to-end ML pipelines for training, testing, and deployment.
• Build and maintain automated pipelines for seamless model versioning.
• Fine-tune model performance and ensure efficient inference at scale.

Conhecimentos

Machine Learning Engineering

Python

TensorFlow

PyTorch

SQL

Data Engineering

Cloud Platforms

Docker

Formação académica

Degree in Computer Science or related field

Ferramentas

MLflow

Kubeflow

DVC

Descrição da oferta de emprego

At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 20 EMEA countries. Become one of our +10.000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better.

Job Description

As a Machine Learning Engineer, you will be responsible for building, deploying, and maintaining scalable ML solutions. You will sit at the intersection of Data Science and Software Engineering, ensuring that models move from research prototypes to reliable production systems.

• Design and implement end-to-end ML pipelines for training, testing, and deployment.
• Build and maintain automated pipelines (CI/CD for ML) to ensure seamless model versioning and lifecycle management.
• Fine-tune model performance and ensure efficient inference at scale.
• Implement observability to track model drift, performance metrics, and system reliability in production.
• Work closely with Data Scientists to translate mathematical models into high-quality, production-grade code.

Qualifications

• 3+ years of professional experience as an ML Engineer or Backend Engineer with a focus on Machine Learning.
• Strong expertise in Python and solid software engineering principles (OOP, Clean Code).
• Hands‑on experience with TensorFlow, PyTorch, or Scikit‑learn.
• Proficiency in SQL and experience working with large‑scale datasets and data warehousing.
• Familiarity with tools like MLflow, Kubeflow, or DVC for model tracking and orchestration.
• Experience with Cloud platforms (AWS, GCP, or Azure) and containerization using Docker.
• Degree in Computer Science, Mathematics, Engineering, or a related quantitative field.
• Professional level of English (written and spoken).

Additional Information

Devoteam Group works for equal opportunities, promoting its employees based on merit, and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity, dynamism, and excellence of our organization. All of our vacancies are open to people with disabilities.