Job Summary: A Data Scientist professional to define and drive experimentation and impact analysis strategies for data and AI products, with a focus on GenAI and continuous model improvement. Key Highlights: 1. Strategic involvement in data and AI products 2. GenAI reference with a focus on model evaluation and improvement 3. Leading research involving language models and fine-tuning An Information Technology services company is seeking a Data Scientist in Mauá. Vem pra Nuvem is a company specialized in cloud computing solutions. We provide services that help enterprises migrate and optimize their operations in the cloud. **Responsibilities:** Define and drive experimentation and impact analysis strategies for data and AI products. Serve as a GenAI reference, focusing on evaluation and continuous improvement of models and systems. Build benchmark datasets, metrics, and failure analyses for model evaluation. Evaluate AI solutions considering quality, security, hallucination, cost, and robustness. Lead research involving language models, fine\-tuning, and model specialization. Collaborate with AI, Data, and Product teams to transform research into applied solutions. Ensure best practices in coding, reproducibility, and model validation. Communicate insights, decisions, and trade\-offs to both technical and executive audiences. Position based in São Paulo / SP. Previous experience as a Data Analyst, Data Engineer, Big Data Specialist, or Data Researcher may indicate alignment with some responsibilities of this role. Bachelor's degree required. Relevant experience required. **Compensation and Benefits:** * Salary: Salary range will be disclosed during the interview. * Benefits will be disclosed during the interview stage. **Additional Information:** * Contract type: Hybrid \- Hybrid work modality. * Candidates from Ribeirão Pires, Santo André, Rio Grande da Serra, or São Caetano do Sul are also eligible for this position. * Duration: Full-time * Working hours: To be determined.
João Silva
Indeed · HR
João Silva
Indeed · HR
