Data Scientist

• Design, develop, and deploy ML models such as predictive models, time series forecasting models or survival models
• Build and maintain scalable data pipelines on a hyperscaler (preferably GCP).
• Implement MLOps best practices including CI/CD pipelines, monitoring, training/evaluation and model governance on a hyperscaler (preferably GCP).
• Use Gen AI and Agentic AI to build end-to-end custom solutions and implement them in a hyperscaler (preferably GCP).
• Ensure scalability, security, and cost efficiency of AI/ML workloads.
• Collaborate with cross-functional teams across time zones to achieve the project goal and deliver solutions/products.
• Work closely and communicate efficiently with the client to understand their needs and meet their expectation on requirements and deliverables.
• Mention junior team members, brainstorm with them to scope and troubleshoot, provide meaningful advice to help address technical barriers.

Data Scientist

Data Scientist

Data Scientist

Junior Data Governance, Data Scientist

Data Scientist, Mid