Senior AI Data Engineer (PCD) – Remote

Why join Ibrowse?

At Ibrowse, technology is made by people. For over 27 years, we have been transforming companies and lives through innovation, agility, and collaboration, always valuing those who are part of our story. We believe in an environment where respect, learning, and evolution go hand in hand, guided by our core value: being open to the new, to ideas, and to people.

Diversity and inclusion are taken seriously. We are constantly committed to creating and strengthening a welcoming and respectful work environment. In this regard, we seek professionals regardless of gender, ethnicity, religion, age, or disability, as we believe that diverse teams drive innovation and promote a plurality of ideas and perspectives. This opportunity is intended for people with disabilities (PWD).

If you are looking for challenges, growth, and a place where you can be yourself, come build the future of technology with us. 🧡

RESPONSIBILITIES AND DUTIES

• Apply advanced analysis and logic techniques, including machine learning, to interpret events and automate decisions and actions;
• Develop Artificial Intelligence models and integrate AI systems into business applications;
• Optimize organizational processes through the use of intelligent automation;
• Locate and extract data from multiple sources for the creation, development, and testing of machine learning models;
• Use API calls or embedded code to create and implement AI applications;
• Develop solutions using knowledge in Generative AI and AI tools in a cloud environment;
• Conduct proofs of concept to validate new AI-based technologies;
• Optimize source code based on coding best practices and techniques such as XP and Refactoring.

REQUIREMENTS AND QUALIFICATIONS

• Completed undergraduate degree in the field of Technology;
• Solid and proven professional experience in activities related to the role;
• Mastery of concepts related to object-oriented programming;
• Mastery of the Python and R programming languages, as well as their main libraries focused on data analysis;
• Mastery of SQL concepts for relational databases (SQL, MySQL, PostgreSQL);
• Knowledge of machine learning frameworks (TensorFlow, PyTorch, or scikit-learn);
• Knowledge of Java concepts and FlaskAPI;
• Practical knowledge in data manipulation and statistical modeling techniques;
• Familiarity with machine learning pipelines, MLOps tools, LLM implementations, and RAG;
• Knowledge of deep learning techniques, neural networks, and Big Data (Hadoop, Spark);
• Knowledge of Linux and use of Git/Gitflow for version control;
• Hold at least one of the following certifications:
  • Machine Learning Engineer;
  • AWS Certified Machine Learning - Associate;
  • Azure AI Engineer Associate.

ADDITIONAL INFORMATION

• Employment Type: CLT (Brazilian Labor Law)
• Work Mode: Remote
• Work Hours: 44 hours per week
• Benefits: Health Insurance, Dental Insurance, Life Insurance, and Meal Voucher (VR)
• Partnership for English courses
• Partnership for IT courses