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Lead a team that builds and maintains the ML infrastructure and operations for Workiva’s AI features, ensuring reliability, observability, and scalability across model lifecycle and cloud providers.
Lead Engineer builds and deploys production-grade AI/ML models and inference pipelines for retail and operations use cases using Python, PyTorch/TensorFlow, and cloud ML tooling.
Build and maintain ML and data infrastructure to operationalize AI models for drug quality oversight, enabling proactive risk detection and compliance in a regulated healthcare environment.
Design AI/ML-driven automation for ASIC chip development, using GenAI, reinforcement learning, and neural networks to optimize power, performance, and area for NXP’s processors.
Build and deploy LLM-powered systems, including retrieval pipelines and agentic AI, to extract insights from unstructured data using Python and PyTorch.
Design real-time computer-vision algorithms and DL models for video analytics, deploy them at customer sites, and publish findings in top-tier journals.
Build and own ML and backend systems for Uber AI Solutions, driving end-to-end verticals from data infrastructure to production AI models that power global AI teams.
Build and scale AI agents and foundation models for drug discovery, integrating biological data and deploying robust MLOps/AgentOps systems in a biotech R&D environment.
About the role and team Uber AI Solutions (UAIS) is a startup inside Uber, building the data and evaluation infrastructure behind the next generation of AI. The models making headlines are only as good as the data and…
Desde el área de Innovación e Inteligencia Artificial de Universidad Europea, buscamos un/a Senior AI Engineer con experiencia en el diseño y desarrollo de soluciones de Inteligencia Artificial en producción y un…
Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > Machine Learning Engineering General Summary: About the Role Qualcomm AI Hub is the platform for on-device AI — enabling…
Design and implement AI/ML solutions for payment systems on AWS, advising customers on cloud architecture and best practices.
Senior ML Engineer builds and scales AI microservices, deploys LLMs, and maintains MLOps pipelines for a computer-vision company.
Builds ML models to track product locations indoors using wireless signals and mobile computer vision for retail inventory visibility.
Advises on responsible AI/ML adoption to strengthen humanitarian early warning and crisis analysis, translating technical insights for policy and decision-makers.
Build and optimize AI models for an AI-native platform that processes satellite data, focusing on machine learning pipelines and model deployment.
Lead a team of ML engineers to build and deploy AI-driven cloud and software optimization solutions for enterprise clients.
Senior Machine Learning Engineer builds and deploys ML models to solve client problems using Python and modern frameworks.
Build and deploy production-scale NLP and generative AI models that analyze billions of consumer reviews to power content moderation, personalization, and search relevance.
Build and deploy ML models to power digital banking features like fraud detection and customer insights for Chase’s Consumer & Community Banking division.
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