AI and Machine Learning Jobs

Design, develop and support AI-powered applications, intelligent agents and RPA workflows. Integrate generative AI, document understanding, APIs and enterprise systems; deploy and operate reliable cloud automation with testing, CI/CD, monitoring and security controls. ...read more

Build end-to-end ML solutions and production pipelines for CommerceIQ products. Develop ML platform capabilities across ingestion, feature engineering, model deployment and monitoring, and scale LLM and transformer workloads on GPUs and distributed infrastructure. ...read more

Develop AI and machine-learning models for fraud and risk detection across large-scale payment transactions. Build and validate predictive models, evaluate performance and collaborate with security, product and engineering teams. ...read more

Lead development of AI and machine-learning capabilities for fraud and risk products. Drive model design, validation and deployment for real-time transaction risk detection, and guide cross-functional data-science delivery. ...read more

Provide technical leadership for the Zeta Marketing Platform. Architect large-scale data and cloud services, distributed systems, REST APIs and microservices, and own reliability and delivery of critical platform capabilities. ...read more

Lead data-science initiatives and model-development delivery, guide analytical problem solving, and partner with business and technology teams to turn data into actionable solutions. ...read more

Develop scalable software platforms and services for Mastercard Priceless experiences. Contribute production code, platform integrations, reliable APIs and engineering improvements across a large-scale consumer platform. ...read more

Own end-to-end computer-vision and generative-AI model development, from research and training through deployment and monitoring. Optimize GPU utilization and inference cost, and collaborate with product, backend and platform teams on production ML systems. ...read more

Design, develop and deploy reliable software components using Java and JavaScript. Work across backend and full-stack development, database schemas and integrations, continuous delivery, production support and application reliability. ...read more

Lead hands-on development of full-stack applications with AI/ML and generative-AI capabilities. Build backend, API and AI-enabled components, integrate LLM services and intelligent workflows, and support cloud deployment, CI/CD and production operations. ...read more