Afya
Education • Healthcare Insurance • Biotechnology
Afya is the largest hub of education and healthcare solutions in Brazil, dedicated to enhancing medical training and practice. With a comprehensive portfolio that includes undergraduate programs, continued medical education, and digital healthcare solutions, Afya aims to support healthcare professionals at all stages of their careers. The company leverages technology to deliver high-quality medical education and has seen substantial growth in digital educational resources, especially during the pandemic, positioning itself as a leader in the healthtech sector.
Data Science Specialist
Job not on LinkedIn
November 7
🗣️🇧🇷🇵🇹 Portuguese Required
Afya
Education • Healthcare Insurance • Biotechnology
Afya is the largest hub of education and healthcare solutions in Brazil, dedicated to enhancing medical training and practice. With a comprehensive portfolio that includes undergraduate programs, continued medical education, and digital healthcare solutions, Afya aims to support healthcare professionals at all stages of their careers. The company leverages technology to deliver high-quality medical education and has seen substantial growth in digital educational resources, especially during the pandemic, positioning itself as a leader in the healthtech sector.
📋 Description
• Provide technical leadership and architect end-to-end Machine Learning solutions for Afya's digital products. • Define and lead the experimentation strategy and advanced statistical analysis to optimize engagement, retention and the impact of product changes. • Serve as a Subject Matter Expert (SME) in GenAI, with exclusive focus on the evaluation flow, building Small Language Models (SLMs) and fine-tuning, ensuring safe responses aligned with business objectives. • Influence the product roadmap and other squads (AIOps, AI Engineering) by identifying data-driven opportunities and prototyping new AI solutions. • Establish and disseminate best coding practices (Python) to ensure model quality and performance in production. • Mentor other data scientists (Junior, Mid, Senior) on complex technical challenges. • Communicate and defend architectures, technical decisions and results of complex models to technical and executive stakeholders.
🎯 Requirements
• Postgraduate degree (Master’s or higher) in Computer Science, Engineering, Statistics, Mathematics or related fields. • Proven advanced experience in Python and its main libraries (e.g., scikit-learn, TensorFlow, PyTorch). • Deep knowledge of statistics, experimental design (A/B testing) and causal inference. • Extensive experience with traditional Machine Learning techniques (classification, regression, clustering, time series) and knowledge of Deep Learning. • Solid experience developing, fine-tuning and putting Generative AI solutions into production (focus on LLMs/SLMs). • Mastery of the full Data Science lifecycle (MLOps/LLMOps), including architecture, evaluation, monitoring and model observability. • Experience defining and implementing Feature Stores, including best practices for governance, versioning and feature serving. • Hands-on experience with MLflow for orchestration and model versioning. • Proficiency with version control tools (Git) and familiarity with CI/CD practices. • Advanced English (required for reading scientific papers and technical communication).
🏖️ Benefits
• Meal allowance / food voucher • Flexible working hours and arrangements (for remote positions) • PLR (profit sharing) • Flexible benefits via Flash Card to use as you prefer • Gympass / Wellhub • Psicologia Viva (online platform for consultations with psychologists and nutritionists) • Health and Dental Insurance • Life Insurance • Extended parental leave (up to 6 months for mothers and 20 days for fathers) • Rede D'Or: support and important information for mother and baby health with an accredited network of nurses • Partnership with SESC in your region (varied programming in education, health, culture, leisure and assistance) • Birthday Day Off (one day off to take on the day of or during your birthday month).
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