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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Senior ML Engineer, AI-Driven SDLC Quality”. A match may be a passing mention rather than the job itself. Titles only.
12 roles across 13 listings · show every listing
Lead end-to-end architecture and execution across SDLC standards, engineering tooling, and agentic AI operations As a Senior Lead Software Engineer at JPMorgan…
…assess engineering health. - Define and execute the enterprise Quality Engineering strategy, embedding quality across the AI-native SDLC through automation, measurable quality standards, and…
…comprehensive AI-driven digital product delivery transformation strategies for enterprise customers adopting Amazon Kiro and AWS Gen AI services, addressing SDLC modernization, engineering culture…
…Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI…
…Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI…
…in Engineering, Computer Science, Business, or a related domain Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions…
…Driven Application Development Build AI‑driven, cloud‑native applications with intelligence embedded into core workflows. Hands‑on use of GitHub Copilot across the SDLC…
…technologies (OCR etc) - Experience with event driven architecture/technologies (RabbitMQ, Kafka, BullMQ, etc) - Experience with ML and AI training frameworks (PyTorch, TensorFlow, etc.) - Experience…
…Design, optimize, and evaluate AI-driven security capabilities, leading the identification of AI opportunities across fraud and abuse engineering including direct coding and model…
…software, hardware, AI/ML, cybersecurity, cloud platforms, open source, privacy, Responsible AI, and compliance. * Understanding of Microsoft’s engineering systems, SDLC, security requirements, and…
…Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and…
…Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI…