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Technical field engineer who partners with hyperscalers and enterprise customers to integrate, optimize, and scale Fireworks’ AI inference and fine-tuning platform into their architectures.
Builds and maintains the backend infrastructure for Fireworks AI’s generative AI platform, focusing on scalable LLM training, inference, and model-serving systems.
ML Engineer role focusing on Online RL and Post-Training LLM, responsible for developing methods, conducting experiments, and improving model quality at Сбер in Moscow.
Research Infrastructure - Member of Technical Staff Department: Research Location: San Francisco Employment Type: FullTime About the Company Simile is The Simulation Company. We simulate human behavior to keep people…
Build and deploy AI-powered transport applications for Singapore's land transport network, integrating LLMs, computer vision, and agentic systems while ensuring reliability and safety in production.
Builds and deploys private AI systems for a law firm, focusing on LLMs, document intelligence, and RAG pipelines to automate legal document analysis and response generation.
Build and operate scalable ML infrastructure for drug-discovery models, deploying real-time and batch inference on Kubernetes and cloud services to accelerate Roche’s AI-driven R&D workflows.
Line of Service Advisory Industry/Sector Not Applicable Specialism Managed Services Management Level Senior Associate Job Description & Summary At PwC, our people in customer consulting specialise in providing…
We Are Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis…
Lead the architecture and hands-on development of an AI-driven telehealth platform, integrating LLMs and distributed systems on GCP while guiding a small engineering team.
Principal AI/ML Engineer at Fortive to define and lead enterprise-scale AI strategy, architecture, and platforms, including LLMs, Agentic AI, and MLOps/LLMOps.
Build and operate the core AI platform: host and orchestrate LLMs, set up guardrails, and optimize costs so product teams can ship AI features faster and safer.
Build and scale AI assistants for development and analytics using LLMs and agentic patterns, integrating retrieval systems and MLOps primitives into production pipelines.
Principal Machine Learning Platform Engineer (Prisma AIRS) Location: Santa Clara, United States of America Remote Type: No Time Type: Full time Job Description Our Mission At Palo Alto Networks®, we’re united by a…
Senior ML engineer builds and owns production-grade agent systems for AI-driven business decision tools, focusing on planning, tool use, evaluation, and post-training improvements.
Build and deploy production-grade ML models in San Jose, scaling distributed training across multi-GPU clusters and optimizing performance for low-latency serving.
Builds and optimizes the AI simulation platform that powers Simile’s generative-agent society models, focusing on distributed training, inference, and ML infrastructure to enable fast, cost-effective research-to-production pipelines.
Digital Software Engineer Lead Analyst Vice President Location: Jacksonville, Florida, United States, Irving, Texas, United States Employment Type: Regular Overview of the Role: Citi, the leading global bank, has…
Senior Platform AI Engineer Department: Engineering Location: Hybrid - San Francisco Employment Type: FullTime Our Mission & Values: At Drata, we help companies earn and keep the trust of their users, customers,…
Designs and maintains an internal AI/ML/LLM platform, including Kubernetes infrastructure, and builds production ML workflows for security and compliance use cases.
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