Top AI & Machine Learning Jobs

Lead end-to-end development and deployment of ML/AI models for consumer finance products, partner with business and governance, ensure regulatory compliance, monitor performance, and mentor junior team members.

Lead strategy and execution for C360 Data Science Center of Excellence, driving AI/ML and modeling initiatives. Collaborate with Risk, Finance, Technology, and CDAO; manage global analytical teams; create executive-level presentations; align stakeholders and advance data-driven solutions including LLMs, semantic search and RAG for financial forecasting and insights.

Design, develop, and productionize end-to-end AI/ML solutions for employee experience, HR, and operations. Perform data wrangling, analysis, modeling, documentation, R&D on novel approaches, stakeholder engagement, and coach junior team members while collaborating across the firm to deliver data-driven business impact.

Lead design and delivery of secure, scalable cloud platform tooling and DevEx practices to support AI/ML and data platforms. Drive CI/CD, observability, cloud security, AI-assisted engineering adoption, paved paths, telemetry, and cross-team modernization while mentoring engineers and governing AI-assisted workflows.

Design, build, and deploy scalable ML services combining NLP, CV, and statistical methods. Collaborate with engineers, cloud and SRE teams to productionize models, ensure observability and compliance, and maintain models over time. Communicate results to stakeholders and document processes for regulatory needs.

Lead end-to-end development and productionization of ML models and scalable data pipelines for personalized retail and digital banking. Research and implement algorithms (NLP, CV, recommendation, time series, etc.), collaborate with cross-functional teams, ensure regulatory compliance, communicate insights to stakeholders, mentor junior ML staff, and contribute to firm ML community.

Drive rollout and adoption of AI tools across the Commercial & Investment Bank by persona. Influence product roadmaps, define and report success metrics, enable client-facing teams with training and messaging, track adoption and feedback, and synthesize insights and risks for senior leadership to inform AI product decisions.

Lead development and deployment of GenAI/LLM solutions: data wrangling, model training/tuning, testing, and productionization. Collaborate with product, engineering, and stakeholders to prioritize use cases, produce actionable insights, and communicate results to technical and non-technical audiences.

Lead product strategy and roadmap for sales-focused applied AI products. Define user journeys and requirements, drive adoption, ensure compliance and data quality, partner with Data Science/Technology to deliver GenAI insights and agentic AI workflows that automate sales processes.

Lead design and delivery of cloud-native data and AIML production systems. Build data engineering, backend, Cloud infra/DevOps and MLOps stacks, produce secure production code, architect microservices and distributed, data-intensive applications, and drive adoption/governance of AI-assisted engineering practices while communicating with stakeholders.