Data Scientist, Mid-level

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Lee, Brock e Camargo Advogados

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2003

📋 Compliance

⚕️ Healthcare Insurance

Compliance • Legal • Healthcare Insurance

Lee, Brock e Camargo Advogados é um escritório de advocacia full service que se destaca pela sua inovação e pelos resultados que entrega. Fundado em 2003, é uma das 10 maiores bancas de advocacia do Brasil, oferecendo serviços em várias áreas do direito, como compliance, propriedade intelectual, proteção de dados, direito tributário, e muitos outros. A equipe multidisciplinar da LBCA utiliza tecnologia para fornecer soluções jurídicas inteligentes e adaptadas às necessidades de seus clientes.

📋 Description

• Be responsible for the entire end-to-end lifecycle of Artificial Intelligence solutions, from design and architecture to validation, deployment and availability for consumption via APIs, ensuring scalability, stability and high performance; • Develop, evaluate and optimize Machine Learning models and Generative AI applications, ensuring the technical quality of solutions and their alignment with business needs; • Continuously analyze the trade-off between computational cost and solution performance, considering factors such as token consumption, inference time, infrastructure usage and return on investment (ROI), and propose alternatives that maximize efficiency and value for the organization; • 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, safe and business-aligned responses; • Develop and maintain data pipelines and inference flows in collaboration with multidisciplinary teams, ensuring integration, observability and continuous monitoring of models in production; • Document architectures, models, experiments and processes to promote traceability, reproducibility and adherence to data and AI governance practices; • Collaborate with business and technology stakeholders to identify opportunities for AI application, translating complex challenges into scalable, high-impact analytical solutions; • Stay up to date with the evolution of technologies, frameworks and best practices related to Data Science, Machine Learning and Generative AI, proposing innovations that add value to the business.

🎯 Requirements

• Education: Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Statistics, Mathematics, Physics or related fields. • Postgraduate degree or specialization in Data Science, Artificial Intelligence, Machine Learning or related areas will be considered an advantage. • Strong knowledge of Python and libraries for data analysis and Machine Learning. • Experience with AI and Deep Learning frameworks such as PyTorch, TensorFlow and LangChain. • Proven experience developing applications using Large Language Models (LLMs), including 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. • Experience building, deploying and maintaining AI applications in production environments, following Software Engineering best practices, including SOLID principles, Design Patterns, version control and automated testing. • Knowledge of MLOps, including model versioning, pipeline automation, continuous integration and delivery (CI/CD), monitoring and model governance. • Experience with observability for AI applications, implementing metrics, telemetry and monitoring to detect performance degradation, data drift, model drift and other production health indicators. • Knowledge of safe model evolution strategies using approaches such as Shadow Testing, Shadow Deployment, Canary Releases and A/B testing to validate new versions in production. • Experience developing and consuming REST APIs to expose models and AI services. • Knowledge of relational and non-relational databases, as well as tools for processing and handling large volumes of data.

🏖️ Benefits

• Meal voucher (VR) • Remote work allowance • Medical insurance (co-payment) • Bar Association membership (OAB) • Childcare assistance