Senior Data Scientist

Description

LBCA is a full-service law firm composed of multidisciplinary professionals active across the broadest range of corporate legal practice areas in Brazil. Have you ever considered joining a team that leverages a pioneering technology platform developed in-house by the firm itself—designed to support the management of legal portfolios and all types of corporate data and documents, enabling risk assessment, strategic decision-making, and business governance? If you answered yes to all these questions, then this is LBCA! This opportunity is exclusively for the ***Senior Data Scientist*** position. Remember to apply for this position and keep your resume information always up to date. If this role does not match your profile, we invite you to explore other talent pools on our careers page: lbca.gupy.io \#VEMSERLBCA **Responsibilities and duties** * Take end-to-end ownership of Artificial Intelligence (AI) solutions—from conception and architecture through validation, deployment, and delivery via APIs—ensuring scalability, stability, and high performance; * Develop, evaluate, and optimize Machine Learning (ML) models and Generative AI applications, ensuring technical quality and alignment with business needs; * Continuously analyze the trade-off between computational cost and solution performance—including token consumption, inference time, infrastructure utilization, and return on investment (ROI)—and propose alternatives that maximize efficiency and organizational value; * Implement governance, security, and reliability mechanisms for AI applications using strategies such as guardrails, response validation, quality monitoring, and context anchoring techniques—including Retrieval-Augmented Generation (RAG)—to ensure accurate, secure, and business-aligned outputs; * Design and maintain data pipelines and inference workflows in collaboration with cross-functional teams, ensuring integration, observability, and continuous monitoring of production models; * Document architectures, models, experiments, and processes to promote traceability, reproducibility, and compliance with data and AI governance practices; * Collaborate with business and technology teams to identify AI application opportunities, translating complex challenges into scalable, high-impact analytical solutions; * Stay current with advancements in Data Science, Machine Learning, and Generative AI—including frameworks and best practices—and propose innovations that add business value. **Requirements and qualifications** **Education** * Bachelor’s degree completed in Computer Science, Computer Engineering, Software Engineering, Information Systems, Statistics, Mathematics, Physics, or related fields. * A postgraduate degree or specialization in Data Science, Artificial Intelligence, Machine Learning, or related areas will be considered a strong advantage. **Qualifications** * Solid expertise in Python and libraries for data analysis and Machine Learning. * Experience with Artificial Intelligence and Deep Learning frameworks such as PyTorch, TensorFlow, and LangChain. * Proficiency in developing applications using Large Language Models (LLMs), including both proprietary and open-source models. * Experience implementing architectures based on Retrieval-Augmented Generation (RAG), AI Agents, multimodal pipelines, and prompt engineering techniques. * Knowledge of embedding strategies, vector databases, semantic information retrieval, and fine-tuning techniques for open-source models. * Hands-on experience building, deploying, and maintaining AI applications in production environments, applying sound Software Engineering practices—including SOLID principles, Design Patterns, version control, and automated testing. * Familiarity with MLOps, including model versioning, pipeline automation, continuous integration and delivery (CI/CD), model monitoring, and governance. * Experience with AI application observability—implementing metrics, telemetry, and monitoring to detect performance degradation, data drift, model drift, and other production model health indicators. * Knowledge of safe model evolution strategies—such as Shadow Testing, Shadow Deployment, Canary Releases, and A/B Testing—for validating new versions in production environments. * Experience developing and consuming REST APIs to expose AI models and services. * Knowledge of relational and non-relational databases, as well as tools for processing and manipulating large-scale data. **Additional information** * Meal voucher (VR); * Remote work allowance; * Health insurance (co-payment); * Brazilian Bar Association (OAB) membership support; * Childcare allowance. Lee, Brock, Camargo Advogados (LBCA) strives to establish cooperative relationships with clients, seeking novel solutions to longstanding legal challenges. This culture has driven the pursuit of agile, customized, and innovative solutions across all domains of corporate law. As a pioneer in developing its own proprietary technological platform (Legalbox) and implementing DIANA—the LBCA’s Artificial Intelligence system. For LBCA, diversity is a strategic asset integrated into the firm’s mission—to combat all forms of inequality and foster a safe, inclusive workplace where all partners and employees feel valued for their talents and identities. LBCA values the privacy and protection of personal data of applicants to positions published herein. Accordingly, all personal data processing operations will be conducted in accordance with Brazil’s General Data Protection Law (LGPD) and other applicable legislation, as well as in line with the privacy policy available at www.lbca.com.br. Applicants should also note that, when applying for positions, they are currently on the Gupy platform and must therefore acknowledge and agree to Gupy’s Terms of Use and Privacy Policy. ESG Pillars: **E** Environmental sustainability, Green IT, paper-free policy, reverse logistics, and responsible product disposal; **S** Diversity and Inclusion committees and policies, promotion of a culture of philanthropy and social responsibility; **G** Code of Conduct and Ethics, Compliance rules, information security, LGPD, and Anti-Corruption Policy.