Description:

CloudWalk is a Brazilian fintech company focused on leveraging AI for operational excellence.
The team is responsible for building behavioral-based models and engaging in research-oriented projects towards evolutionary expert systems.
Data science is viewed as a blend of science and craftsmanship, delivering solutions that exceed customer expectations.
The team culture emphasizes collaboration, embracing challenges, learning from failures, and celebrating successes.
The Data Scientist will focus on building, training, and optimizing machine learning models to address business problems such as fraud detection.
Responsibilities include every stage of the data science workflow, from exploratory data analysis and feature engineering to model deployment and post-production monitoring.
The role involves working on research-driven projects, applying the latest advancements in machine learning and AI to develop state-of-the-art solutions for complex problems.
The company seeks individuals who are passionate about data, algorithms, and applying research to real-world scenarios.

Requirements:

Candidates must have experience in building and deploying machine learning models.
Proficiency in Python and machine learning frameworks such as TensorFlow and PyTorch is required.
The ability to work with large language models (LLMs) is necessary.
Experience with cloud-based environments, particularly Google Cloud Platform (GCP), is essential.
Candidates should have experience using data pipelines for model training and inference.
Knowledge of statistical techniques and model evaluation metrics is required.
Nice to have: Experience with Graph Neural Networks (GNNs) or other advanced deep learning architectures.
Nice to have: Experience in developing scalable data science solutions for real-time applications.
Nice to have: Knowledge of GCP services for machine learning and model deployment.
Nice to have: Experience working on projects related to fraud detection and risk analysis in financial services.

The company values diversity in skills and backgrounds and believes in nurturing talent to reach its full potential.
Candidates will have the opportunity to work in a high-paced environment with innovative projects.
The role offers a chance to collaborate with cross-functional teams, enhancing professional growth and learning.
Continuous learning is encouraged, with a focus on staying up-to-date with the latest trends in machine learning and data science.
The interview process includes an online technical assessment, a technical interview, and a cultural interview, ensuring a thorough evaluation of candidates.