Data Scientist

Generative AI solutions for both platform and customer-facing products. * Collaborate closely with Data Scientists, ML Engineers, Product, Engineering, and Analytics teams to translate business requirements into actionable, production-ready AI solutions. * Design and optimize MLOps pipelines using Python, FastAPI, and cloud-native stacks (AWS Fargate, Bedrock, ECS), integrated with data platforms such as Snowflake; drive automation, monitoring, and CI/CD practices across the ML lifecycle. * Review and validate model code, pull requests, and deployment flows, ensuring technical excellence, reproducibility, and scalability across the AI team. * Define and align data exchange protocols and architecture with DevOps, Data Engineering, and Backend teams. * Partner with Product Analytics to track KPIs, monitor model performance, and measure the impact of AI solutions on CloudPay products and client operations. * Operate within cross-functional, multinational teams, with autonomy

to experiment, innovate, and test new approaches while observing tangible effects on CloudPay clients and operations. * Stay ahead of AI trends, tools, and infrastructure innovations to guide long-term strategy and maintain CloudPay's competitive edge. Experience Needed for This Role * Degree in a quantitative field (Mathematics, Statistics, Computer Science, Physics, Engineering, or other quantitative disciplines). * Proven experience as a Data Scientist, AI Specialist, or Machine Learning Engineer, preferably with a focus on NLP and Computer Vision. * Strong understanding of statistical, data processing, and machine learning methods, implemented using standard open-source frameworks. * Proven experience building production-ready ML solutions and applying MLOps best practices. * Familiarity with AI model monitoring, evaluation, and experimentation techniques. * Expertise in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn); knowledge of additional programming languages is a plus. * Experience with cloud platforms (AWS, GCP, or Azure) and scalable AI/ML solutions. * Analytical & Problem-Solving Skills: Strong ability to translate complex business needs into actionable AI solutions. Collaboration & Communication * Experience working cross-functionally with Product, Engineering, and Analytics teams. * Able to clearly communicate technical concepts to non-technical stakeholders. * Excellent written and oral communication skills in English. About You and Our Core Values * Taking ownership, working with integrity and respect. * Being a team player is key to our culture. * Solution and customer focused. * Great initiative with the goal for excellence in achieving results. * Dedicated to developing and always looking for continuous improvements. * Be creative, be committed, be engaged and enjoy what you do. CloudPay is committed to being an equal opportunities employer. Competitive

cost-effectively. * Product & Customer Solutions: Develop customer-centric AI solutions that enhance the payroll and HR experience for CloudPay clients, including reusable services (agents, document understanding, chatbots), GenAI-enabled capabilities for insights, reporting, recommendations, and assistants, as well as higher-risk AI innovations with the potential to significantly improve client experience. We're looking for a motivated and impact-driven Senior Data Scientist to join our Data team. If you're passionate about data, thrive at the intersection of innovation and impact, and want to help build a platform that powers data-driven and AI-first solutions at global scale, this role is for you. Main Responsibilities * Own the end-to-end design, development, and deployment of high-impact AI and ML features, from prototypes to production-ready services. * Build robust infrastructure, tools, and frameworks for training, evaluating, and serving ML models at scale, including LLMs and