Machine Learning Product Specialist
EDP Renewables
Descripción de la Empresa
EDP Renewables
Madrid, España
2007
Modelo de Negocio
Energías Renovables
Desarrollo, construcción y operación de proyectos de energía eólica y solar.
Venta de energía, contratos de compra de energía (PPA), y servicios relacionados con la energía.
Ubicaciones y Geografía
Operan en varios países, incluyendo España, Portugal, Estados Unidos, Brasil y México.
Cultura de la Empresa
Su misión es promover un futuro sostenible a través de la energía renovable, priorizando la innovación y la responsabilidad social.
Fomentan un ambiente colaborativo y diverso, donde se valora la inclusión y el desarrollo profesional.
Ofrecen programas de formación continua y oportunidades de crecimiento profesional.
Actividades y Proyectos
Están trabajando en la expansión de parques eólicos en España y en la implementación de proyectos solares en Brasil.
Implementan tecnologías avanzadas para optimizar la producción de energía y mejorar la eficiencia operativa.
Comprometidos con la sostenibilidad, utilizan prácticas que minimizan el impacto ambiental en sus operaciones.
Oportunidades Laborales
Buscan profesionales en áreas como ingeniería, gestión de proyectos y desarrollo de negocios.
Ofrecen un paquete competitivo de beneficios que incluye seguro médico, programas de bienestar y opciones de trabajo flexible.
Información de Contacto
Última actualización el 2025-03-25 | Informar un problema
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 13,000 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.
What are we looking for
- Bachelor's and/or master's 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 reasons to 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 group's 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 if you think you are the right fit for this opportunity.
Recibir alertas de empleo
Recibe alertas de empleo para oportunidades en Lisboa, Portugal
Sobre el rol
19 diciembre 2025
Tiempo Completo
Empresa
19 diciembre 2025
Híbrido
- Lisboa, Portugal
3 to 5 years
UTC+00:00
Aplicar ahora
¿El empleo expiró?Por favor, informa a EDP Renewables que encontraste este empleo en Rejobs. Esto nos ayudará a crecer y conseguir que más personas trabajen en energía renovable!
Cómo estás conectado
Ver tus conexionesConsulta tus contactos en EDP Renewables en LinkedIn para aprovechar tu red a la hora de solicitar este puesto.
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