Machine Learning Engineer
Job Summary
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 resultsdriven and capable of transforming data and models into practical highimpact 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 crossfunctional 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 handson 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 problemsolving mindset.
- Proactivity in exploring new technologies and improving existing solutions.
- Organization attention to detail and focus on delivering highquality work.
Additional Information :
- Workplace type: Hybrid (max. of 3 times per week in the office).
- Location: Picoas Lisboa.
Remote Work :
No
Employment Type :
Full-time
About Company
Inetum is a European leader in digital services. Inetums team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetums solutions aim at contributing to its clients performance and innovation as well ... View more