Distributed Cloud | AI/Machine Learning Engineer

Devoteam

Porto

Presencial

EUR 40 000 - 70 000

Tempo integral

14 dias+

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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

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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

We are seeking a versatile and passionate AI / Machine Learning Engineer to join our data science and engineering team. You will be instrumental in bridging the gap between data science research and production-ready applications, building scalable machine learning systems that drive business value. This role requires a strong balance of software engineering principles and ML expertise.

Key Responsibilities

Design, develop, and implement end-to-end Machine Learning pipelines for training, testing, and deployment of predictive models.

Work closely with Data Scientists to translate prototypes and models into scalable, production-grade code (MLOps).

Develop robust, efficient, and well-documented code primarily using Python and relevant ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

Implement monitoring and alerting solutions for models in production to track performance, detect drift, and ensure reliability.

Collaborate with Data Engineers to ensure efficient data preparation, feature engineering, and access to necessary data infrastructure.

Stay current with the latest advancements in AI, ML techniques, and scalable infrastructure.

Qualifications

3+ years of professional experience in a Machine Learning Engineer, AI Developer, or similar role.

Strong expertise in Python and object-oriented programming, with a focus on code quality and best practices.

Mandatory practical experience with major Machine Learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn).

Solid understanding of MLOps principles and the tools required for model deployment, versioning, and lifecycle management (e.g., MLflow, Kubeflow, or similar).

Proficiency in SQL and experience working with large datasets and data warehousing concepts.

Excellent analytical and problem-solving skills, with the ability to communicate complex technical concepts effectively.

Experience working with Cloud platforms (AWS, GCP, or Azure) for model deployment, compute, and storage (e.g., SageMaker, Vertex AI, Azure ML Services).

Knowledge of containerization technologies (Docker, Kubernetes) for building reproducible and scalable ML environments.

Familiarity with distributed computing frameworks (e.g., Spark).

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

Very good level of English, both spoken and written, for effective communication with international teams.

Additional Information

The 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.

Seniority level