GENAI DATA ENGINEER

The DGU Global Digital Factory Coeis looking to recruit for the Data Engineers & Scientists department.
EDP is a global energy group present in around 30 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 , leading the energy transition.
With more than employees around the world, we are committed to using our energy and heart to drive a better tomorrow.
What you will do.
Responsible for developing and implementing machine learning models and artificial intelligence solutions to solve complex corporate challenges.
Leveraging experience in Data Science, statistics, and programming, this individual will play a crucial role in harnessing the power of data to provide actionable insights and predictive capabilities.
Model Development.
Design, develop, and implement machine learning models tailored to solve specific problems, such as predictive analytics, recommendation systems, natural language processing (NLP), computer vision, and anomaly detection.
Data Preprocessing.
Clean, preprocess, and transform raw data into a suitable format for machine learning algorithms.
Ensure data quality and handle any issues related to missing or noisy data.
Algorithm Selection and Optimization.
Identify suitable machine learning algorithms and techniques based on the nature of the problem and available data.
Optimize model parameters and hyperparameters to achieve optimal performance.
Feature Engineering.
Extract, design, and select relevant features from the data to improve the accuracy and interpretability of the model.
Model Evaluation.
Conduct thorough evaluation and validation of machine learning models using appropriate metrics and methodologies.
Assess model performance, identify potential biases, and iteratively enhance model accuracy.
Integration and Deployment.
Collaborate with software developers and IT teams to integrate machine learning models into production systems and ensure smooth deployment for real-time applications.
Continuous Learning and Research.
Stay updated on the latest developments and advances in machine learning and AI technologies.
Conduct research and experiments to explore innovative approaches and stay ahead of industry best practices.
Data Privacy and Ethics.
Adhere to data privacy regulations and ethical considerations when dealing with sensitive or personal data in machine learning projects.
Collaboration and Communication.
Work closely with cross-functional teams, including data scientists, data engineers, and business experts, to understand requirements and effectively communicate findings and recommendations.
Employment type.
Full-Time Work site.
Hybrid Model   What are we looking for.
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
A Ph.
.
in a relevant domain is an advantage; Proven experience in developing and implementing machine learning models, preferably in a business or research environment; Proficiency in programming languages commonly used in machine learning, such as Python or R, along with experience in using machine learning libraries and frameworks (e.
., TensorFlow, PyTorch, etc.); Solid understanding of statistical analysis, supervised and unsupervised learning techniques, and deep learning architectures; Familiarity with data preprocessing, feature engineering, and model evaluation methods; Experience with data visualization tools and techniques to effectively present findings; Strong problem-solving skills, analytical thinking, and attention to detail; Excellent communication skills to collaborate with cross-functional teams and present complex ideas to non-technical stakeholders.
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   Discove r our tips to enhance your performance during the recruitment process and apply until if you think you are the right fit for this opportunity.