Company Description
Experian is a global data and technology company that empowers people and businesses around the world. We operate in diverse markets, such as financial services, healthcare, automotive, agribusiness, insurance, among others. Experian invests in people and in new advanced technologies to unleash the power of data. We have an amazing team of 25,200 employees in 32 countries.
Our uniqueness is valuing yours. Experian's culture, centered on people, inclusive and driven by purpose, is recognized by various awards — including World's Best Workplaces™ 2025 (Fortune Global Top 25) and Great Place To Work™ in 26 countries, among others. Check out Experian Life on social media or explore our careers site to understand why. Experian is also proud to be an employer that promotes equal opportunity and affirmative action.
Job Description
Position Mission
Develop, implement and evolve Artificial Intelligence solutions focused on Computer Vision, transforming images and videos into strategic business insights. Work end-to-end across the lifecycle of Machine Learning models, from data exploration and preparation through deployment and production monitoring, ensuring performance, scalability and value generation for products and customers.
Main Responsibilities
- Develop Computer Vision models for detection, classification, segmentation and tracking of objects in images and videos.
- Design, train and optimize deep neural networks using modern Deep Learning architectures, such as CNNs, Transformers and generative models.
- Build and maintain pipelines for preparing, processing, annotating and augmenting visual data, ensuring the quality of datasets used in training.
- Carry out experimentation, evaluation and validation of models, defining metrics and monitoring performance indicators.
- Apply transfer learning, fine-tuning and hyperparameter optimization techniques to maximize model efficiency.
- Develop scalable, high-quality code in Python, following software engineering best practices, versioning and testing.
- Implement MLOps processes for versioning, monitoring, packaging and deployment of models in production environments.
- Work on model optimization and compression for execution in environments with processing constraints, including edge and embedded devices.
- Use cloud computing platforms and GPU-based infrastructure for training and processing large volumes of data.
- Partner with cross-functional product, engineering and business teams to understand problems, propose solutions and generate impact through data and artificial intelligence.
- Ensure the continuous evolution of solutions, keeping up with trends, research and new technologies related to AI, Machine Learning and Computer Vision.
- Support the dissemination of technical knowledge and contribute to the training and development of other team professionals.
Qualifications
- Completed higher education in Computer Science, Engineering, Data Science, Statistics or related fields.
- Solid experience in Computer Vision, Machine Learning and Deep Learning.
- Mastery of Python and advanced experience with PyTorch.
- Knowledge of MLOps, model deployment and cloud computing (AWS, Azure or GCP).
- Experience with SQL/NoSQL databases and large volumes of data.
- Analytical, collaborative profile oriented to problem solving.
- A postgraduate degree or specialization in AI, Data Science or related areas will be a differential.
Expected Competencies
- Solid experience in Computer Vision, Deep Learning and Machine Learning.
- Mastery of Python and the ecosystem of libraries for Data Science and AI.
- Advanced experience with PyTorch and knowledge of TensorFlow/Keras.
- Knowledge of MLOps, model deployment and cloud architectures.
- Experience with processing large volumes of data and SQL/NoSQL databases.
- Strong analytical capability, critical thinking and solving complex problems.
- Ability to work collaboratively in multidisciplinary, results-oriented environments.
Additional Information
Serasa Experian is much more than you imagine. With the purpose of creating a better future, expanding opportunities for people and businesses, in Brazil we are more than 4 thousand people working in various teams and specialties. Here, every skill and diversity complements each other 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 career with their personal commitments and interests, valuing well-being.
We are very committed to being one of the best and most innovative companies to work for in the country, enabling amazing experiences and careers for our people. Our strong people-first approach is recognized externally through various market certifications: we were awarded by Great Place To Work™ in 24 countries and by the international Top Employers certification, in addition to being recognized as one of the best companies for young professionals and having a 4.6 rating on Glassdoor. Each recognition tells us we are on the right path, providing an increasingly better work environment for our talent.
Experian Careers - Creating a better tomorrow together
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