Top AI & Machine Learning Jobs

Lead MLOps engineer to build and maintain distributed training pipelines, batch and real-time model serving, LLM quantization and deployment, vector DB optimization, monitoring/observability, and cross-team integration for production ML in AWS.

Design, build, and operate scalable, secure LLM/NLP and ML systems; develop production code; drive architecture and MLops; monitor models in production; advise leadership and improve data/feedback loops to reduce effort and improve operational outcomes.

Lead development and deployment of AI/ML models for branch network and field workforce optimization using geospatial, graph, reinforcement learning, and behavioral techniques. Manage end-to-end projects, partner with business, governance, UX, and technology, translate model outputs for stakeholders, and ensure regulatory and model governance compliance.

Lead end-to-end development and production deployment of causal and predictive ML solutions for private banking. Frame causal problems, build uplift/HTE models and observational causal studies, drive MLOps, monitor model quality, mentor data scientists, and translate causal/LLM research into production in partnership with risk, compliance, and business stakeholders.

Lead applied AI/ML efforts to design, build, deploy, and maintain production ML services (NLP/CV focus). Collaborate with engineering, cloud, and SRE teams, research models, ensure MLOps best practices, and document processes for regulatory compliance.

Design, develop, experiment, and productionize NLP and machine learning models, services, and scalable data pipelines. Contribute across the full product lifecycle, implement algorithms and systems, and drive continuous learning and improvement within the AI for Operations team supporting banking operations.

Build and validate ML, optimization, and statistical models on large structured and unstructured consumer datasets; generate insights and actionable recommendations; communicate results to senior stakeholders; contribute across the full modeling lifecycle and advance team knowledge.

Lead development of high-performance, scalable software frameworks that optimize ML training and inference on accelerator-based architectures. Mentor engineers, advise cross-functional teams, apply HPC and telemetry-driven decisions, and publish reusable performance patterns for low-latency, throughput, and power-efficient solutions.

Build AI/ML-driven analytics and automation for CIB Treasury, Securities Services and Payments. Develop scalable data architecture, automate manual processes, create sequential decision-making tools to optimize net interest income, drive projects end-to-end from prototype to production, present commercial recommendations to stakeholders, and collaborate across Quant Research, Treasury, CIO, Technology and CDAO.

Lead design and delivery of secure, scalable cloud infrastructure and developer experience tooling. Drive CI/CD, DevSecOps, observability, AI-assisted coding workflows, and integrations for AI agents and MCP to accelerate platform automation and developer productivity.