Top AI & Machine Learning Jobs in New York City, NY

Design, develop, and deploy machine learning models for ad targeting, ranking, and bidding optimization. Build personalization and recommendation systems at scale. Lead incrementality testing, attribution, and causal inference efforts. Partner with product, engineering, and analytics to deliver low-latency, production-ready ML pipelines and drive experimentation and measurement strategies across the AdTech ecosystem.

Senior Data Scientist responsible for building and deploying predictive models, performing EDA and statistical analysis, designing A/B tests, and creating scalable ETL/ELT pipelines. Work includes developing production-ready ML solutions, maintaining data quality in distributed environments (Spark/Hadoop), optimizing workflows, and collaborating with product, engineering, and business teams to translate requirements into reliable, monitored solutions.

Lead design, procurement, and scaling of Mastercard's on‑premise AI infrastructure. Define standards for compute, storage, networking, cooling and data center design; run RFI/RFPs; partner with data science, MLOps, platform, security, and governance teams to support large‑scale training and low‑latency inference for generative and predictive AI workloads.

Lead product manager to define strategy and deliver agentic AI, LLM-driven workflows, and autonomous operational agents. Translate customer problems into technical requirements (LLMs, RAG, agent orchestration), prototype with agent frameworks, own roadmap/PRDs, partner with AI/ML and engineering on grounding, safety, evaluation, and MLOps, and drive adoption through go-to-market, onboarding, and measurement.

Lead product strategy and execution for agentic AI and LLM-driven operational intelligence. Define use cases, prototype with agent frameworks, partner with AI/ML and engineering on architecture, safety, evaluation, and MLOps, drive 0->1 SaaS feature development, run discovery and A/B tests, and enable customer adoption and go-to-market.

Lead product strategy and roadmap for AI and data products for SMEs; manage cross-functional global teams; ensure security/compliance; drive go-to-market, pricing, customer engagement, and on-time, on-budget delivery.

The Director will design and implement intelligent autonomous systems using agentic frameworks and large language models, leading architecture and delivery from build to production. The role includes team leadership following initial launch.

Lead the design and implementation of agentic AI and LLM applications within Mastercard's Operational Intelligence team, focusing on backend and production-scale solutions. Mentor engineers and ensure high reliability and observability of systems. Develop integration between AI platforms and enterprise data services.

Embed with business units to identify high-value AI use cases, design and deploy production-ready AI assistants and multi-agent solutions, and coach teams to adopt AI-first workflows. Deliver measurable business outcomes, create reusable playbooks and training, and scale organizational capability through hands-on engagements and knowledge capture.

Lead embedded AI transformation by partnering with business units to identify high-value use cases, design and deploy production-grade AI agents and assistants, and train teams. Build repeatable architectures, playbooks, and training to scale AI adoption, measure business impact, and develop internal champions.