Analista de Ciência de Dados em IA Pleno
New
BrazilFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- Machine LearningData sciencePrompt EngineeringGenerative AILangChain
Requirements
- Previous experience in Data Science, Machine Learning, Artificial Intelligence, or related analytical roles.
- Strong knowledge of Generative AI concepts, including LLMs, Transformer architectures, and diffusion models.
- Hands-on experience with prompt engineering, fine-tuning techniques, and reinforcement learning concepts such as RLHF.
- Solid understanding of embeddings, vector search, and Retrieval-Augmented Generation (RAG) methodologies.
- Familiarity with bias detection, fairness principles, adversarial testing, and AI safety practices.
- Experience with AI frameworks and orchestration tools such as LangChain, LangGraph, CrewAI, Agno, or similar technologies.
- Strong analytical thinking, problem-solving capabilities, and the ability to work collaboratively in cross-functional teams.
- Excellent communication skills and the ability to translate technical concepts into practical business applications.
Responsibilities
- Train, evaluate, and optimize Generative AI models, including Large Language Models (LLMs) and multimodal architectures.
- Design, test, and refine prompts using advanced prompt engineering techniques and adversarial testing methodologies.
- Perform fine-tuning, hyperparameter optimization, and model performance assessments to improve accuracy and efficiency.
- Develop and implement effective tokenization and chunking strategies to maximize contextual understanding and model quality.
- Select, evaluate, and integrate embeddings for Retrieval-Augmented Generation (RAG) applications and intelligent search systems.
- Identify, monitor, and mitigate biases in datasets and AI models while ensuring ethical and responsible AI practices.
- Measure model robustness, quality, and security through continuous monitoring and testing frameworks.
- Collaborate with engineering and architecture teams to integrate AI solutions securely into production pipelines and enterprise environments.
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