Job Description

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.

We are strengthening our team with a professional focused on developing Machine Learning solutions, advanced integrations, and intelligent automation. We are looking for someone autonomous, results‑driven, and capable of transforming data and models into practical, high‑impact solutions for the business.

Key Responsibilities:

• Develop and enhance Machine Learning models (with a strong focus on PyTorch) for various use cases.
• Build and integrate solutions through APIs, ensuring scalability, performance, and reliability.
• Implement and optimize RPAs and automated data processing workflows.
• Create pipelines for model development, training, and validation.
• Implement integrations between internal services, systems, and applications.
• Collaborate with cross‑functional teams, ensuring technical and functional alignment of deliverables.

Qualifications

• Solid experience in Machine Learning, with strong proficiency in PyTorch
• Experience in software development (e.g., Python, integrations, REST APIs).
• Knowledge and hands‑on experience with API development and integration.
• Experience implementing and maintaining RPA automation processes.
• Experience with data pipelines, model training, and production integration.
• Ability to work in Linux/Cloud environments.
• Strong autonomy and responsibility in managing tasks and projects.
• Analytical thinking and problem‑solving mindset.
• Proactivity in exploring new technologies and improving existing solutions.
• Organization, attention to detail, and focus on delivering high‑quality work.

Additional Information

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