AI Engineer | Machine Learning - Remote

Overview

You will be part of a multidisciplinary team, working on a strategic project with one of the largest energy distributors in the country. We are looking for someone who enjoys technical challenges, has a collaborative profile, and is constantly seeking learning and innovation focused on Artificial Intelligence. You will have the opportunity to work in a dynamic environment, oriented towards continuous improvement and the generation of real value through technology.

In Short

• Develop and train Artificial Intelligence models focused on Machine Learning and Deep Learning.
• Implement Machine Learning algorithms to solve data analysis and interpretation challenges.
• Conduct exploratory and predictive data analyses, seeking patterns, anomalies, and automation opportunities.
• Collaborate with technical and business teams, ensuring that developed solutions align with project needs.
• Contribute to the definition of standards, best practices, and technical quality of AI solutions.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, or related fields.
• Practical experience in Machine Learning, Deep Learning, and data manipulation.
• Solid knowledge in Python and Machine Learning frameworks such as TensorFlow, PyTorch, or Keras.
• Ability to perform analysis and preprocessing of large volumes of data.
• Experience in AI projects in the energy or utilities sector is a plus.
• Knowledge of agile methodologies and quality-oriented development practices (TDD, automated testing).
• Familiarity with cloud-based deployment of AI models (Azure, AWS, or similar).
• Experience in Software Architecture.
• Familiarity with convolutional neural networks (CNNs), applied to images and videos.
• Familiarity with tools for model versioning (MLFlow or similar).

Benefits

• Flexible hours.
• Possibility of fixed home office.
• Flexible benefits through a credit card for meals, mobility, home office, culture, health, and education.
• Transportation voucher or free parking (if working onsite or hybrid).
• Health plan with no monthly fee and co-participation.
• Dental plan with no monthly fee.
• Telemedicine platform offering consultations with reduced fees.
• Day off for birthdays.
• Extended maternity and paternity leave.
• Culture that values feedback and professional development.