architectures Strong understanding of security, identity, networking, APIs, data platforms, AI/ML platforms, containers... or private AI inference (vLLM/NIM, open-weight models), AI gateways, model routing and provider abstraction, MCP (Model Context...
reliability and engineering velocity Background in AI/ML platform engineering, including infrastructure support for model... in site reliability engineering, platform engineering, and AI/ML infrastructure to mentor and lead a team of 8-10 engineers...
for AI/ML, Deep learning, HPC, Analytics, Visual Simulation, and Professional Graphics solutions across multiple industries... at AI model builders. Optimize their workflows by leveraging NVIDIA's complete stack for their end-to-end generative AI workflows...
analytics, data science, analytics engineering, data governance, and platform data/ML engineering. You'll find a highly... to make Set clear standards for when a decision calls for a quick analysis, an experiment, or a model Decision...
, including data model, integration patterns, security model, and platform configuration;keep SDDs, architecture decision records.... Experience working with AI/ML tools or platforms (e.g., Salesforce Einstein, Agentforce, or generative AI tools) and an emerging...
with physics-based modeling and experimental data. Assess machine-learning model performance and applicability using... & ABILITIES: Strategic thinker with a passion for applying computational & ML approaches to solve practical problems in drug...
experience, or specialized training. Experience in LLM operationalization, orchestration frameworks, model evaluation...) Even better if you have one or more of the following: Masters in Computer Science, AI/ML, or related field. Six or more years of platform engineering...
. You will collaborate with Data Scientists and ML Engineers to translate model outputs into actionable insights for operations leaders. The... accuracy on a weekly basis for mature and emerging ML workstreams. 7. Develop documentation and present model performance...
science, and business stakeholders to deliver integrated solutions. Working knowledge of AI/ML concepts, data dependencies..., model limitations, and the practical considerations of deploying AI into business workflows. Hands-on experience...
, and strong SQL skills. Experience with MLmodel development, including feature engineering, model selection, and evaluation... discovery, natural-language event descriptions, and model-based ranking that surfaces the most important events from thousands...