We are EDP a global energy company present in around 29 markets with a particular emphasis on renewable energies. With more than 45 years of experience we have been consolidating a relevant presence on the world energy scene based on the commitment to be all-green by 2030 leading the energy transition. With more than 13000 employees around the world we are committed to using our energy and heart to drive a better tomorrow.
The Digital Networks IT OT Data & AI Mgmt team is strengthening its team by hiring a Machine Learning Product Specialist.
What you will do:
- Contribute to the development and evolution of an advanced analytics and Artificial Intelligence product.
- Developing Machine Learning and GenAI models ensuring the end-to-end cycle (data exploration training validation implementation and monitoring).
- Contributing to the continuous improvement of the product by ensuring the quality of developments data analysis insights and feature evolution.
- Keeping up with new trends and technological developments in the field promoting innovation in the team/framework.
- Support the Product Owner in defining the roadmap gathering and clarifying requirements with stakeholders and prioritizing the backlog.
- Support the Product Owner ensuring alignment transparency and efficient management of deliveries.
- Promote product adoption ensuring that use cases respond to real needs and generate value for the business.
Employment type: Full-Time
Work site: Hybrid Model
What are we looking for:
- Bachelors and/or masters degree in Data Science Information Management Computer Engineering Mathematics Statistics or similar fields.
- Between 3 and 5 years of professional experience in in Data Science and Machine Learning projects applied in real-world contexts.
- Solid knowledge of Python for Data Science including Scikit-learn TensorFlow PyTorch and/or HuggingFace.
- Experience in data manipulation and exploration SQL notebooks (Jupyter/Databricks) and ML model development methods.
- Knowledge of LLMs and GenAI (practical application valued).
- Knowledge of APIs MLOps/CI-CD cloud (preferably Azure) and previous experience in Agile/Scrum methodologies are valued.
- Communication skills and ability to translate technical topics to different audiences (business management and technology).
- Ability to work autonomously take ownership organize and collaborate.
- Experience or interest in Product Management applied to Data Science and AI with the ability to support backlog management user stories and documentation preparation.
More than academic knowledge and technical skills we are looking for ambitious people who are enthusiastic about the future and who bring human skills aligned with our purpose.
Equal opportunities for all
Our vision is that each person combines their unique characteristics and experiences to fulfill our mission of creating new energy for the planet. We are an inclusive employer ensuring all candidates are treated fairly throughout the recruitment process. We welcome and value all people and we are committed to fostering a sense of belonging for each person who is part of the EDP group.
Need more reasonsto apply
As a top employer we:
- Empower our employees through a positive and innovative work environment that promotes collaboration and agile decision-making;
- Respect and value each person providing a flexible healthy and inclusive workplace with a range of attractive benefits;
- Provide a meaningful work experience and prepare our people for future challenges through different opportunities for development and internal mobility;
Our efforts have resulted in several distinctions over time highlighting the EDP groups strong positioning and its dedication and commitment to attracting and retaining the best talent:
- Top employer certification by Top Employers Institute
- Part of the Bloomberg Gender-Equality Index
- Global certification as a family-responsible company by Fundación Másfamília
- Top 100 Workplaces by Houston Chronicle
Discover our tips to enhance your performance during the recruitment process and apply until 22/12/2025 if you think you are the right fit for this opportunity.