What do we need
- Experience in building and deploying machine learning models.
- Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch).
- Ability to work with LLMs
- Experience with cloud-based environments like GCP
- Experience in using data pipelines for model training and inference.
- Knowledge of statistical techniques and model evaluation metrics.
Nice to Have
- Experience working on projects related to fraud detection, risk analysis in financial services
- Experience with LLMs , Graph Neural Networks (GNNs) or other advanced deep learning architectures.
- Experience in developing scalable data science solutions for real-time applications.
- Knowledge of Google Cloud Platform (GCP) services for machine learning and model deployment.
Responsibilities
- Design, develop, and deploy machine learning models for fraud detection and behavioral analysis.
- Collaborate with cross-functional teams, including data engineers, product managers, and software engineers, to integrate models into production.
- Research and implement new machine learning algorithms and techniques that push the boundaries of existing models.
- Monitor the performance of models in production, optimizing them for scalability and efficiency.
- Stay up-to-date with the latest trends in machine learning and data science to continuously drive innovation within the team.
Our Interview Process
- Online/take-home technical assessment
- Technical interview
- Panel interview
- Final interview
Top Skills
What We Do
We are democratizing the payments industry in Brazil, by empowering entrepreneurs through technological, inclusive, and life-changing solutions. Based in Brazil, CloudWalk is a high-end global payment network built on modern technology and proprietary blockchain, focused in bringing a revolution to the payment ecosystem for small and medium-sized businesses. As a unicorn, the company has provided its customers with more than R$ 1 billion in savings by charging fair fees on its transactions and is now present in more than 300.000 businesses across 5.000 brazilian cities. With investors such as the Valor Capital Group, HIVE Ventures and Coatue, the company has already raised US$ 365.5 million in investments and R$3.4 billion in FDICs for anticipation of receivables in its network of financial solutions. In 2022, it was the only brazilian fintech to be featured in the "The Retail Tech 100" ranking by CB Insights, on the "Protection Solutions for Payments and Frauds".
