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The Data Engineers & Scientists department at DGU Global Digital Factory Coeis is seeking a highly skilled Senior Machine Learning Engineer to join their team.
Energias de Portugal S.A., a global energy group with a presence in 30 markets, is committed to becoming all-green by 2030, leading the energy transition. With over 13,000 employees worldwide, they strive to harness the power of data to drive innovation and provide actionable insights.
Job Summary:
This role involves developing and implementing machine learning models and artificial intelligence solutions to solve complex corporate challenges. As a Senior Machine Learning Engineer, you will play a crucial role in leveraging your expertise in Data Science, statistics, and programming to design, develop, and implement machine learning models tailored to specific problems.
Main Responsibilities:
- Design, develop, and implement machine learning models using predictive analytics, recommendation systems, natural language processing (NLP), computer vision, and anomaly detection techniques.
- Clean, preprocess, and transform raw data into a suitable format for machine learning algorithms, ensuring data quality and handling any issues related to missing or noisy data.
- Select and optimize machine learning algorithms and techniques based on the nature of the problem and available data.
- Extract, design, and select relevant features from the data to improve model accuracy and interpretability.
- Conduct thorough evaluation and validation of machine learning models using appropriate metrics and methodologies, assessing model performance and identifying potential biases.
- Collaborate with software developers and IT teams to integrate machine learning models into production systems and ensure smooth deployment for real-time applications.
- Stay updated on the latest developments and advances in machine learning and AI technologies, conducting research and experiments to explore innovative approaches and stay ahead of industry best practices.
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. A Ph.D. 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.g., 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.
Benefits:
- A competitive salary range of $120,000 - $180,000 per year, depending on experience.
- A comprehensive benefits package, including health insurance, retirement plan, and paid time off.
- Opportunities for professional growth and development, including training and mentorship programs.
- A dynamic and inclusive work environment that values diversity and promotes work-life balance.
About Us:
Energias de Portugal S.A. is a top employer certified by the Top Employers Institute, part of the Bloomberg Gender-Equality Index, and a global certification as a family-responsible company by Fundación Másfamília. We are committed to creating a better tomorrow through sustainable energy solutions and innovative technologies.
