The Applied Scientist will design and implement advanced AI systems focusing on knowledge graphs and Retrieval-Augmented Generation to solve business problems for enterprise clients.

The Technical Product Manager will lead technical initiatives, define strategies, collaborate with teams, manage project risks, and ensure successful product delivery.

The Technical Architect develops scalable platforms and systems, collaborates with product teams, and leads architecture across data solutions and integrations, ensuring best practices and mentoring developers.

Design, implement, and deploy AI automation systems using Python or Node.js. Optimize OCR for document processing and integrate AI solutions into workflows.

As a Data Science Intern, you will analyze data, build predictive models, assist in experimentation, and collaborate with cross-functional teams to drive data insights.

Lead the design and architecture of distributed backend systems, drive cloud infrastructure on AWS and GCP, mentor engineers, and promote best practices.

The Product Manager will lead AI-driven automation initiatives, defining and delivering intelligent systems to enhance decision-making and reduce manual efforts, while ensuring compliance and governance in AI implementation.

Lead the redesign of the Carter platform's UI/UX, develop conversational workflows, design prototypes, and create a design system within one month.

The Technical Lead will oversee the entire lifecycle of customer-facing applications, focusing on full-stack development, innovation delivery, and operational excellence, especially within a retail technology context.

Lead the design and evolution of analytics solutions and data platforms, partnering with clients and teams to implement data architectures and guide technical strategy.