Bolsista de Inovação em IA para Recrutamento e Gestão de Talentos

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Engage in innovation projects within companies through a scholarship from the Inova Talentos program.

• Assist in studies and research regarding the application of language models and artificial intelligence in recruitment processes, resume screening, and candidate recommendations.

• Contribute to the development and documentation of the conceptual architecture for a recruitment support module (requirements, key workflows, recommendation criteria, and explanations).

• Support the organization and preparation of HR databases (structuring, cleaning, standardization, and ensuring privacy/PII compliance) for use in AI models.

• Collaborate in building prototypes for search, ranking, and matching between profiles and job openings, including defining metrics and conducting comparative experiments.

• Participate in interactions with HR teams to gather feedback on the use of solutions, assist in adjustments, and promote continuous improvement of the system.

• Integrate the solution with the existing recruitment system, conduct acceptance testing with the HR team, and support the gradual implementation of the tool in the company’s routine.

• Assist in the creation of support materials (guides, tutorials, technical reports) that describe results, learnings, and next steps of the project.

⛳️ Requirements

• Technical experience in applied research and complex projects involving LLMs/SLMs (architecture, data strategy, training from scratch and post-training, fine-tuning, and evaluation/observability).

• Experience with data pipelines (curation, deduplication, quality filters, PII redaction).

• Experience in distributed training and optimization of SLMs/LLMs.

• Advanced expertise in deep learning and language models (efficiency, training stability, evaluation, and security).

• Experience with RAG, vector indices, reranking, and retrieval evaluation.

• Experience in applied research fronts and integration of generative AI into products (LLMOps/serving).

• Familiarity with model observability and versioning (model registry/experiment tracking).

• Proven ability to structure experiments, define metrics, analyze results, and guide teams.

• Ability to produce technical reports and reproducible documentation.

• Applied knowledge of LGPD/data governance and anonymization practices.

• Experience with multi-tenant platforms for HR/ATS products and matching/screening metrics.

• PhD in Computer Science, Computer Engineering, Software Engineering, or related fields.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and training.

• Flexible working hours and remote work options.

• Health and wellness programs.

• Collaborative and innovative work environment.