Top AI & Machine Learning Jobs

Lead hands-on design and delivery of secure, scalable agentic AI applications and cloud-native services. Define AI production patterns, drive SDLC, mentor engineers, partner with product and data teams, and ensure reliability, observability, security, and governance from prototype to production.

Lead go-to-market strategy and commercialization for Advanced Analytics and AI products in North America. Drive product launches, cross-functional alignment, market research, customer feedback analysis, training, and post-launch performance monitoring to grow the portfolio and support sales and client teams.

Designs, implements, validates, and monitors ML and deep learning models (NLP, time-series, classification, risk) for financial transaction analysis and anomaly/fraud detection. Works with large structured and unstructured datasets, applies advanced statistical and ML techniques, deploys scalable solutions, and communicates findings to stakeholders while collaborating across engineering and product teams.

As Product Manager, you will own the vision and roadmap for Mastercard's Responsible AI and Privacy Enhancing Technologies Toolkit, ensuring product features align with governance, privacy, and regulatory expectations, while driving adoption and product outcomes.

Lead strategy, architecture, and delivery of a production-scale data platform powering agentic AI, LLMs, and analytics. Design lakehouse, streaming, retrieval, vector/feature stores, MCP servers, and governance for real-time, secure AI consumption. Manage senior engineers, set technical standards, and partner with Applied AI, Product, and Security.

Lead strategy, architecture, and delivery of a production-grade data platform enabling agentic AI and analytics. Own lakehouse, streaming, retrieval, vector/feature stores, MCP servers, governance, and real-time pipelines; partner with Applied AI and Product; guide senior engineers and set standards for AI-ready data products.

Lead advanced quantitative analysis of primary market research using methods such as Conjoint, MaxDiff, segmentation, and regression. Design experiments, validate models, interpret results, advise on methodology, partner with cross-functional teams, mentor junior analysts, and help build analytics standards and tools to support multi-market consulting engagements.

Lead strategy, architecture, and delivery of a production-scale data platform for agentic AI and analytics. Design lakehouse, streaming, retrieval, vector/feature stores, MCP servers, and governance to ensure reliable, real-time, secure data for LLMs and analytics while managing and mentoring senior engineers.

Lead strategy, architecture, and delivery of Mastercard's data platform for analytics and agentic/GenAI products. Build lakehouse, streaming, retrieval, vector/feature stores and MCP servers. Ensure governance, lineage, data quality, observability, and secure AI consumption. Partner with Applied AI, Product, and Architecture; guide senior engineers and unblock complex technical problems.

Lead strategy, architecture, and delivery of a production-scale data platform enabling agentic AI and analytics. Design lakehouse, streaming, retrieval, vector/feature stores, MCP servers, and governance to support LLMs and multi-agent systems. Partner with Applied AI, Product, and Security, and lead senior data engineers to build secure, real-time, production-grade data products for AI consumption.