Applied Data Scientist / AI Engineer

Description

**We are expanding our engineering team!** **Applied Data Scientist / AI Engineer** Develop AI models that support strategic decisions. **About the challenge** We are looking for an **Applied Data Scientist / AI Engineer** to develop Machine Learning and Artificial Intelligence models focused on classification, scoring, and business simulations. **Responsibilities and attributes** **Responsibilities** * Develop predictive models and classification algorithms. * Build evaluation metrics and model cards. * Create experiments for model validation. * Ensure explainability and traceability of decisions. * Work in conjunction with LLM-based solutions. **Requirements and qualifications** **What we are looking for** * Experience with Machine Learning in production. * Python. * Model evaluation and performance metrics. * Machine Learning pipelines. * Knowledge of LLMs and applied AI. **Behavioral profile** We are looking for a person with: * Good communication skills; * Systemic vision; * Collaborative technical leadership; * Mentoring capability; * Pragmatic profile; * Ease of working with multiple teams and different technological contexts. **Additional information** **Will be considered a differential** * Experience with RAG. * MLOps. * Model Governance. * Model evaluation frameworks. **Why this position is different** * Environment of high technical complexity * Opportunity for technical growth * Culture of engineering best practices * Collaborative and results-oriented teams **Why Sciensa?** * An environment that balances autonomy and governance. * Real and relevant technical challenges. * Space to influence architecture and technical decisions. * Close work with the business, with direct impact on deliveries. **Important:** Contract Modality: PJ (Value/Hour). Working hours: 8 hours daily Work model: 100% Remote Equipment: Provided by Sciensa, according to the needs of the area/project. **Sciensa** is a reference InfraTech in Brazil, specializing in digital infrastructure for the financial market. We work with APIs \& integrations, Cloud, Data \& AI, Cybersecurity, and custom Platforms. For more than 15 years, we have delivered innovation, robustness, and efficiency to clients who need to operate with security, scalability, and high performance. #### **Our purpose \& culture** **Why we exist:** to ensure that financial companies can grow with reliable, secure, and innovative technology. **How we do it:** with collaborative teams, autonomy, constant learning, and a focus on real results. **Values that guide our daily work:** innovation, technical excellence, security, protagonism, transparency. #### **Our values and differentials** **Technical excellence and security** in every layer of the digital ecosystem. **Continuous innovation:** we always seek to incorporate best practices, new technologies, and respond proactively to market needs. **Focus on impact:** for us, it is not enough to deliver a system; we want it to generate value, efficiency, scalability, and trust. **Collaboration and protagonism:** we value teams with autonomy, where each professional can contribute in a real way to decisions, the growth of the company, and its clients. #### ******What it means to work here** **High-impact projects:** you will work on solutions that affect millions of users, critical systems, data governance, and security. **Recognition and autonomy:** you exercise protagonism, participate in technical decisions, and see your results generating value for clients and the company. **Diverse and collaborative team:** people with different profiles, knowledge exchange, team spirit, and appreciation for those who share, innovate, and evolve.