Professional specializing in AI mentorship and technical training for technology professionals. Strengthening technical and strategic skills in AI within corporate teams.
Responsibilities
Lead educational activities and technical workshops;
Support the development of core AI competencies, including intelligent agents, MLOps pipelines and elements of the modern AI stack;
Promote practical application of concepts to real-world challenges;
Explain complex topics clearly and connect them to business context;
Share hands-on experiences from real ML/AI projects to help increase participants' technical maturity.
Requirements
Degree in Computer Science, Engineering, Information Systems, Applied Mathematics or a related field.
Strong knowledge of Artificial Intelligence and Machine Learning.
Practical experience delivering real-world ML and AI projects.
Experience with intelligent agents and autonomous AI architectures.
Familiarity with the AI stack (preprocessing, models, embeddings, vectorization, APIs, monitoring, etc.).
Computer Vision.
Natural Language Processing.
Generative models (LLMs, diffusion models, etc.).
Hands-on experience with Python and frameworks such as TensorFlow, PyTorch, scikit-learn or similar.
Knowledge of MLOps best practices, including data and model versioning, ML pipelines, testing and monitoring, deployment and model observability.
Ability to communicate technical concepts in a structured, clear and concise manner.
Collaborative, organized and committed to continuous learning.
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