Computer Engineer (AI/Machine Learning) - Remote

Why join Ibrowse?

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

Diversity and inclusion are commitments we take seriously. We are always committed to creating and strengthening a welcoming and respectful work environment. We seek professionals regardless of gender, ethnicity, religion, age, or disability, because we believe diverse teams drive innovation and promote a plurality of ideas and perspectives.

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

RESPONSIBILITIES AND DUTIES

• Modeling and Artificial Intelligence: Develop, test, and implement Machine Learning, Deep Learning, and Generative AI solutions, applying advanced analysis and logic techniques to interpret events, automate decisions, and optimize business processes.
• Data Engineering and Integration: Locate and extract data from multiple sources, creating structured pipelines and using API calls or embedded code to integrate AI solutions into business applications.
• Cloud Environment and Proof of Concepts (PoCs): Develop and validate Proof of Concepts (PoCs) using AI tools and services in cloud environments.
• Architecture and MLOps: Design scalable AI solutions (including LLM and RAG architectures), automating Machine Learning workflows aligned with MLOps best practices.
• Business Interface and Requirements Gathering: Conduct interviews and meetings with clients and business areas to gather requirements, present solutions, and demonstrate the impact of intelligent automations.
• Development and Optimization: Work on data manipulation and processing with Python and R, applying refactoring techniques, source code optimization, and software engineering practices (such as XP and Clean Code) for production environments.
• Version Control and Quality: Ensure technical documentation, version control, and the lifecycle of Artificial Intelligence projects using Git/Gitflow in a Linux environment.
• Mentoring and Knowledge Sharing: Mentor the team, disseminate technical knowledge, and actively collaborate with multidisciplinary teams.

REQUIREMENTS AND QUALIFICATIONS

• Completed bachelor's degree in Information Technology OR a bachelor's degree in any field accompanied by a postgraduate degree (Specialization, Master's, or Doctorate) in IT, with a minimum of 360 hours.
• Certification (Hold at least one):

1. Machine Learning Engineer
2. AWS Certified Machine Learning - Associate
3. Azure AI Engineer Associate

• Proven solid experience in developing and practically applying Artificial Intelligence and Machine Learning solutions.
• Proficiency in Python and R languages, object-oriented and focused on data analysis and manipulation.
• Experience with Machine Learning and Deep Learning frameworks (TensorFlow, PyTorch, Scikit-learn).
• Knowledge and practical application of MLOps, LLM, and RAG (Retrieval-Augmented Generation).
• Proficiency in SQL concepts and queries in relational databases (SQL Server, MySQL, PostgreSQL).
• Experience in client interviews, requirements gathering, and technical presentation of solutions.
• Knowledge of version control (Git/Gitflow) and Linux environments.

ADDITIONAL INFORMATION

• Employment Type: CLT
• Work Arrangement: 100% Remote
• Workload: 220 hours (monthly)
• Benefits: Dental Plan, Health Plan, Life Insurance, Meal Voucher (VR) or Food Voucher (VA)
• English course partnership
• IT course partnership
• Gympass/Totalpass partnership