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Build and run reliability tests for NVIDIA’s datacenter OS and server platforms, automate test suites with Python/CI/CD, and debug failures in Linux, firmware, and AI tooling stacks.
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.
Build and deploy LLM-powered systems, including retrieval pipelines and agentic AI, to extract insights from unstructured data using Python and PyTorch.
Design and deploy agentic AI systems that automate clinical and operational workflows using LLMs, planning, and tool orchestration in a regulated healthcare environment.
Build and deploy agentic AI workflows for clinical operations and research in urology, integrating multi-modal data and ensuring reliability in a healthcare setting.
Build and maintain the MLOps infrastructure that deploys and monitors Autodesk’s AI/ML models, automating pipelines with Kubernetes, Terraform, and CI/CD while enforcing security and governance.
Lead a team building production-grade NLP and LLM systems to transform legal and business data into actionable intelligence using RAG, agentic workflows, and hybrid ML pipelines.
Drive enterprise software releases for NVIDIA’s AI and ML platforms, coordinating global engineering teams and ensuring timely delivery of GPU-accelerated solutions.
Design real-time computer-vision algorithms and DL models for video analytics, deploy them at customer sites, and publish findings in top-tier journals.
Lead a team building AI/ML models and agentic systems to forecast financial KPIs, optimize budgets, and drive data-driven decisions in healthcare operations using Python, SQL, and cloud platforms.
Senior Data Scientist builds AI/ML models for financial forecasting, expense management, and cash-flow optimization in healthcare, using Python, SQL, and cloud platforms to drive strategic decisions.
Build ML and Agentic AI models to forecast financial KPIs, optimize budgets, and automate business processes for a global healthcare company using Python, SQL, and cloud platforms.
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.
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…
Build and deploy AI systems that predict consumer reactions to creative content using neuroscience data, generative AI, and multi-modal models in a production environment.
Research and build agentic LLMs and reinforcement-learning systems for code generation, running experiments, curating datasets, and shipping production-quality research code.
About us We are building AI systems that can reason, use tools, and complete meaningful work in the real world. Our team works across model post-training, reinforcement-learning infrastructure, large-scale training,…
Build Python APIs and bindings for CUDA Core Libraries, integrating C/C++/Rust to accelerate GPU-accelerated software for HPC and AI workloads.
Design and build AI/ML models to solve real-world problems, using Python and frameworks like PyTorch or TensorFlow, while collaborating in a hybrid office setup.
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