Top AI & Machine Learning Jobs

Lead design and delivery of reliable, scalable AI/ML platform services. Build production-grade code, reusable APIs/SDKs, observability and resilience tooling, define reliability standards, support on-call incident resolution, and mentor engineers to enable secure, compliant generative AI use cases.

Lead and coach engineering teams building reusable, agent-native frameworks, SDKs, and tools; drive cross-team collaboration, budget and technical decisions, and enterprise adoption while ensuring secure-by-default, cloud-native solutions.

Build and maintain secure, production-ready ML solutions and cloud frameworks using Python and AWS. Collaborate with data scientists, platform teams, SRE, and engineering communities to integrate, deploy, monitor, and scale AIML systems following SDLC and MLOps practices.

Lead complex AI/ML and GenAI-focused technology programs, develop and execute project plans, manage risks, resources, budgets, and cross-functional stakeholders, drive delivery across data platforms, synthesize findings into actionable plans, and improve operational practices and program efficiency.

Lead software engineer on AI/ML data platforms building secure, cloud-native production systems. Designs, implements, debugs, and reviews code, drives adoption of AI-assisted engineering practices, mentors junior engineers, evaluates vendors, and ensures operational stability and secure SDLC practices.