Top Tech Jobs & Startup Jobs

The Machine Learning Engineer will design, build, and deploy ML applications at scale, collaborating with cross-functional teams and applying best practices in ML engineering and cloud technologies.

Lead a team in developing cloud-based solutions, manage a portfolio of projects, mentor engineers, and drive technology innovations in a collaborative environment.

Lead AI/ML-focused information security for enterprise agentic capabilities. Advise projects and CSOC teams on threat mitigation, compliance, automation, monitoring, and incident response. Partner with engineering and stakeholders to secure cloud, generative AI, and customer servicing platforms while driving data-driven decisions and continuous improvements.

Lead design, development, deployment, and productionization of scalable ML systems. Build and optimize models, data pipelines, and cloud-based architectures; automate CI/CD, monitor and retrain models, ensure governance, responsible/explainable AI, and collaborate with cross-functional Agile teams.

Lead the Chariot CMS engineering team to own and evolve the enterprise content delivery platform. Manage and mentor engineers, deliver cloud-based microservices and full-stack solutions, collaborate with product managers, drive AI-native content workflows, ensure regulatory compliance, and occasionally write or evaluate code using modern languages and containerized AWS infrastructure.

Serve as the central information security lead for Enterprise Data, providing proactive consulting on API, data, infrastructure, network, container, and access security; perform risk assessments and architecture reviews; influence security adoption, escalate and manage cyber risk, support leadership reporting, and provide ad hoc security expertise.

Lead technology projects and a team to develop cloud-based solutions for a financial institution, mentoring engineers and keeping pace with tech trends.

Lead the Acquisitions Design team for Core Card Experiences, defining design strategy, driving high-impact product and service design, mentoring designers, collaborating with research, product, and engineering, and delivering customer-centered, business-focused design solutions across web and mobile.

Lead product design execution as an individual contributor for customer acquisition and management. Define design strategy, collaborate with research, product and engineering, mentor designers, and elevate design practice across complex, revenue-driving programs. Drive human-centered, business-focused solutions using interaction, visual and service design, prototypes, and design systems to deliver cohesive, high-impact customer experiences.

The Senior Lead AI Engineer will develop and support AI software components, partner with cross-functional teams, and enhance AI systems performance. Responsibilities include designing, deploying, and optimizing AI models for improved banking services.