Data Science Coordinator – Generative AI, Agents

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Lead and oversee the data science team, promoting career growth, managing recruitment, and ensuring a high-performing, collaborative atmosphere;

• Establish the strategic vision and roadmap for our AI agents platform, ensuring alignment with organizational needs and a focus on reuse, governance, and meaningful impact;

• Oversee the AI project portfolio from inception to implementation, managing timelines, prioritizing the backlog, and communicating updates to stakeholders;

• Ensure the adoption of guardrails and best practices, securing the safety, quality, and reliability of AI solutions developed by the team;

• Direct the structuring and advancement of GenAI Ops practices, encompassing experimentation, versioning, evaluation, and continuous monitoring;

• Serve as the primary liaison between the data science team and engineering and product teams, translating business requirements into scalable technical solutions;

• Foster a culture of innovation, motivating the team to explore techniques such as RAG, embeddings, and prompting to consistently enhance performance.

⛳️ Requirements

• Bachelor's degree (or higher) in Technology or related disciplines;

• Demonstrated experience leading Data Science teams, with recent involvement in Generative AI and agent-related projects;

• In-depth understanding of AI solution architecture and the ability to convert business challenges into data initiatives;

• Proficient in the MLOps/LLMOps ecosystem and operationalizing models in production;

• Proven experience managing the lifecycle of AI projects, from prototyping through to final delivery;

• Strong technical expertise in Python and experience with Databricks (or similar platforms) to guide team decisions;

• Acquainted with software development best practices, version control (Git), and agile methodologies;

• Considered a plus: experience in managing data products;

• Experience with frameworks such as LangChain or LlamaIndex;

• Understanding of modern data architecture (e.g., data mesh);

• Prior experience in defining guardrails, governance, and security within AI;

• Background in software engineering.

🏝️ Benefits

• Scholarships of up to 100% for employees, legal dependents, and household members (father, mother, and siblings), allowing up to three simultaneous scholarships;

• Health insurance with full coverage for the employee and partial coverage for their family, with the employee responsible for co-payments;

• Optional dental care to promote oral health;

• Meal allowance or food voucher with the flexibility to choose according to your preferences;

• Wellhub or Totalpass for adaptable gym options;

• Wellz, a platform dedicated to employees' mental and emotional health, providing various types of support, including access to individual online therapy sessions;

• Wellness program and benefits club featuring tailored programs and exclusive advantages;

• Flexible dress code to foster our diversity;

• Life insurance;

• Partnership with SESC;

• Corporate University available on our exclusive portal, Educare;

• Opportunities for growth — currently, over 60% of openings are filled through internal selection.