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Provide functional and technical support for Capco's HR, recruitment and financial applications. Troubleshoot production issues, monitor performance, deliver enhancements, support implementations and configurations, and collaborate with global stakeholders to improve processes and user experience.

Lead AI product strategy and roadmaps for financial services clients; identify high-value use cases, run prototyping/POCs, and guide integration of LLMs, RAG, embeddings, and agentic AI into enterprise platforms while advising senior stakeholders and cross-functional teams.

Lead end-to-end delivery of large capital markets technology transformation programs, managing governance, financials, risk, and stakeholder relationships. Guide engineering, architecture, product, and delivery teams to implement cloud-native, secure, scalable solutions, modernize post-trade systems and market infrastructure, and embed AI/automation capabilities.

Lead design and delivery of enterprise-scale generative AI and agentic systems. Define architecture, integrate foundation models, build cloud-native infrastructure and MLOps pipelines, implement orchestration and monitoring, and mentor teams to productionize secure, scalable AI solutions aligned with business goals.

Lead design and delivery of enterprise-scale generative AI and agentic systems. Define architecture, integrate foundation models, establish cloud-native infrastructure and MLOps pipelines, orchestrate workflows, mentor teams, and drive production-grade AI deployments aligned to business goals.

Lead design and delivery of enterprise-scale generative AI and agentic systems: define architecture, integrate foundation models, build cloud-native infrastructure and MLOps pipelines, orchestrate workflows and integrations, mentor teams, and guide solutions from concept to production.

Lead CyberArk Privileged Access Management projects for financial services clients, managing scope, timelines, risks, cross-functional stakeholders, governance, testing, deployments, and transition to operations while advising on IAM/PAM best practices and platform optimization.

Design, develop, and deploy scalable fullstack web applications (MERN). Build and integrate REST/GraphQL APIs, optimize SQL queries, write automated tests, follow coding standards, collaborate in Agile teams, and contribute to technical documentation and architecture.

Lead enterprise SDLC and AI transformation engagements for financial services clients: define strategy, drive engineering modernization (DevSecOps, CI/CD, cloud-native, platform engineering), advise C-suite, develop business, mentor consulting teams, and deliver measurable outcomes.

As a Mid-level Applied AI Data Scientist, you will apply statistical methods and machine learning to derive business insights from data and create Tableau visualizations.