Distributed Cloud | Machine Learning Engineer

Devoteam

Lisboa

Presencial

EUR 45 000 - 65 000

Tempo integral

14 dias+

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Resumo da oferta

A global digital transformation company in Lisbon seeks an experienced Machine Learning Engineer. You will design and implement end-to-end ML pipelines and fine-tune models for production. Candidates should have over 3 years of experience, strong Python skills, and familiarity with ML tools like TensorFlow or PyTorch. A computer science degree and professional English are required. This role offers the chance to work in a diverse environment focused on tech for people.

Qualificações

  • 3+ years of professional experience as an ML Engineer or Backend Engineer focusing on Machine Learning.
  • Strong expertise in Python and solid software engineering principles.
  • Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Proficiency in SQL with experience in large-scale datasets.

Responsabilidades

  • Design and implement end-to-end ML pipelines for training, testing, and deployment.
  • Build and maintain automated CI/CD pipelines for machine learning.
  • Fine-tune model performance to ensure efficient inference at scale.
  • Implement observability for model drift and system reliability.

Conhecimentos

Python
Machine Learning
SQL
TensorFlow
PyTorch
Scikit-learn

Formação académica

Degree in Computer Science, Mathematics, Engineering, or related field

Ferramentas

MLflow
Kubeflow
Docker
AWS
GCP
Azure

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
  • 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).

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.

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