Are you passionate about building intelligent solutions that directly impact products and services?
We’re looking for an experienced AI/ML Developer to join our tech-driven team and help us design scalable, data-powered applications.

Your responsibilities:

• Develop, train, and deploy machine learning and deep learning models
• Manage data pipelines and integrate AI solutions into new or existing systems
• Rapidly prototype solutions based on business requirements
• Work with frameworks such as PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM, HuggingFace, Langchain
• Apply solid knowledge of mathematics, statistics, and data science
• Collaborate with cross-functional teams to transform business challenges into scalable technical solutions

• Over 3 years of experience in technical AI/ML roles using Python
• Strong knowledge of Data Science and Machine Learning algorithms
• Proficient with tools like Jupyter, Pandas, Scikit-Learn, Numpy
• Experience with relational and non-relational databases (MySQL, PostgreSQL, MongoDB, Redis)
• Skilled in version control using Git
• Familiarity with containerization and orchestration tools (Docker, Kubernetes)
• Experience with APIs (REST, gRPC, GraphQL), WebSockets, OAuth 2.0 / OpenID Connect
• Additional knowledge in web development (HTML, CSS, JavaScript), DevOps/MLOps practices, and third-party API integration is a plus
• Comfortable working in Linux and macOS environments

Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good.  

Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility.  

Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023.  

• Workplace type: Hybrid (max. of 3 times per week in the office)
• Location: Picoas, Lisboa

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