Job Summary: Develop and optimize production AI components for GenAI and data-driven products, driving MLOps and high-performance ML services. Key Highlights: 1. Build and optimize production AI components for GenAI products. 2. Develop and implement AI applications and MLOps practices. 3. Strong collaboration with cross-functional teams to deliver solutions. Machine Learning Engineer (Mid-Level) Full\-time Employee Status: Regular Role Type: Hybrid Department: Technology Schedule: Full Time **Company Description** ----------------------- Serasa Experian is Brazil’s first and largest Datatech company. A leader in risk and opportunity intelligence solutions focused on credit, authentication, and fraud prevention journeys. With cutting-edge technology, innovation, and top talent, it transforms risk uncertainty into the best decision—helping individuals achieve their dreams and enabling businesses of all sizes and sectors to thrive. We have 22\.000 people operating across 32 countries, and every day we invest in new technologies, talented professionals, and innovation to help all our customers maximize every opportunity. Headquartered in Dublin, Ireland, Experian is listed on the London Stock Exchange (EXPN) and is a constituent of the FTSE 100\. **Job Description** ------------------- * Design, build, and optimize production-ready AI components that power Experian’s GenAI and data-driven products. This role contributes directly to scalable model deployment, robust MLOps practices, and high-performance ML services that enable engineering and product teams across ESS. * Develop and deploy AI applications (e.g., agents) that meet functional and non-functional requirements by building accurate, clean, testable code, and exposing scalable inference endpoints. * Implement MLOps best practices across the lifecycle—experiment tracking, model/version registry, CI/CD for data \& models, automated testing, and rollout/rollback patterns. * Build and maintain data \& training pipelines (feature extraction, validation, drift checks) using cloud services and orchestration tools. * Integrate models with platform services (APIs, gateways, auth, logging/metrics) in partnership with platform and security teams. * Optimize performance and cost for training and inference (batching, quantization, caching, GPU utilization). * Operational excellence: participate in on-call/incident response, root-cause analysis, and reliability hardening (alerts, SLOs, canaries). * Documentation and knowledge sharing (READMEs, runbooks, diagrams) and code reviews. * Cross-functional collaboration with product, data, and platform teams to refine requirements, scope work, and deliver on agreed timelines. * Compliance, security, and responsible AI practices in day-to-day work (data handling, privacy, model monitoring for drift/quality). **Qualifications** ------------------ * Advanced English and availability to work hybrid in São Carlos/SP. * Expert\-level Python engineering skills, with hands-on experience using modern ML and LLM frameworks (PyTorch, TensorFlow, Hugging Face, LangChain/LangGraph, or equivalent agent frameworks). * Proven experience designing and building agentic AI systems, including tool\-using agents, multi\-step reasoning workflows, planning/execution loops, memory management, and human\-in\-the\-loop patterns. * Strong command of ML and LLM lifecycle best practices, spanning experimentation, evaluation, versioning, deployment, observability, and continuous improvement of agent\-based systems. * Experience operationalizing AI at scale, including model serving, inference optimization, agent orchestration, and API\-driven ML/LLM services. * Ability to collaborate effectively in cross\-functional teams, clearly communicating complex agentic and ML concepts to engineers, product managers, and stakeholders. **Additional Information** -------------------------- **Why this role matters** This role protects Experian’s reputation and ensures ethical, compliant operations across Brazil. By combining regulatory rigor with pragmatic solutions and business insight, the Head of Compliance enables sustainable growth and safeguards the interests of customers, employees, and stakeholders. Serasa Experian is much more than you imagine. With a purpose of creating a better future—expanding opportunities for individuals and businesses—we are over 4,000 people in Brazil working across diverse teams and specialties. Here, every skill and perspective complements one another, and you can work on what you love most. We are committed to building an inclusive culture and an environment where people can balance their careers with personal commitments and interests—prioritizing well-being. We’re deeply dedicated to being one of the country’s best and most innovative places to work—enabling incredible experiences and careers for our people. Our strong “people-first” approach is externally recognized through numerous market certifications: we’ve been awarded by Great Place To Work™ in 24 countries and received the international Top Employers certification, ranked among the best employers for young professionals, and hold a 4.6 rating on Glassdoor. Each recognition confirms we’re on the right path—delivering an ever-better workplace for our talent. Experian Careers \- Creating a better tomorrow together **Job Location** ---------------- I'm interested Privacy Notice Cookies Settings