NVIDIA
Deep Learning Solutions Architect – Inference Optimization(m/w/x)
Full-timeOn-siteSenior
Zürich
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NVNVIDIA Switzerland AG
Deep Learning Engineer, LLM Accuracy Evaluation(m/w/x)
Zürich
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Pioneering LLM, RAG, and vision model accuracy evaluation methodologies. 10+ years AI/NLP experience required. Delivering flagship models as optimized NVIDIA NIMs.
Requirements
- BS, MS, or PhD in Computer Science, AI, Applied Math, or related field, or equivalent experience
- 10+ years of AI experience in NLP and LLMs
- Strong problem-solving, debugging, performance analysis, test design, and documentation skills
- Solid mathematical foundations and expertise in AI/DL algorithms
- Excellent written and verbal communication skills
- Ability to work independently and collaboratively
- Adaptability to fast-paced environment
- Experience in accuracy evaluation of LLMs (OpenLLM Leaderboard or HELM)
- Hands-on experience with inference and deployment environments like TensorRT, ONNX, or Triton
- Passion for DevOps/MLOps practices in deep learning product development
- Experience running large-scale workloads in HPC clusters
- Strong understanding of Linux environments
- Strong understanding of containerization technologies like Docker
Tasks
- Pioneer new methodologies for assessing deep learning model performance
- Accurately evaluate LLMs, RAG, agents, and vision models
- Collaborate with partners and the open-source community
- Deliver flagship models as optimized NVIDIA Inference Microservices (NIM)
- Research and develop deep learning methodologies for model evaluation
- Evaluate new model families across diverse domains
- Analyze, influence, and enhance AI/DL libraries, frameworks, and APIs
- Ensure consistency with best engineering practices
- Research, prototype, and build robust tools and infrastructure pipelines
- Support AI initiatives
Work Experience
- 10 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
Tools & Technologies
- AI
- NLP
- LLMs
- TensorRT
- ONNX
- Triton
- DevOps
- MLOps
- Docker
- Linux
- HPC
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of NVIDIA Switzerland AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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- Red Hat (Switzerland) SARL
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NVNVIDIA Switzerland AG
Deep Learning Engineer, LLM Accuracy Evaluation(m/w/x)
Zürich
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Pioneering LLM, RAG, and vision model accuracy evaluation methodologies. 10+ years AI/NLP experience required. Delivering flagship models as optimized NVIDIA NIMs.
Requirements
- BS, MS, or PhD in Computer Science, AI, Applied Math, or related field, or equivalent experience
- 10+ years of AI experience in NLP and LLMs
- Strong problem-solving, debugging, performance analysis, test design, and documentation skills
- Solid mathematical foundations and expertise in AI/DL algorithms
- Excellent written and verbal communication skills
- Ability to work independently and collaboratively
- Adaptability to fast-paced environment
- Experience in accuracy evaluation of LLMs (OpenLLM Leaderboard or HELM)
- Hands-on experience with inference and deployment environments like TensorRT, ONNX, or Triton
- Passion for DevOps/MLOps practices in deep learning product development
- Experience running large-scale workloads in HPC clusters
- Strong understanding of Linux environments
- Strong understanding of containerization technologies like Docker
Tasks
- Pioneer new methodologies for assessing deep learning model performance
- Accurately evaluate LLMs, RAG, agents, and vision models
- Collaborate with partners and the open-source community
- Deliver flagship models as optimized NVIDIA Inference Microservices (NIM)
- Research and develop deep learning methodologies for model evaluation
- Evaluate new model families across diverse domains
- Analyze, influence, and enhance AI/DL libraries, frameworks, and APIs
- Ensure consistency with best engineering practices
- Research, prototype, and build robust tools and infrastructure pipelines
- Support AI initiatives
Work Experience
- 10 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
Tools & Technologies
- AI
- NLP
- LLMs
- TensorRT
- ONNX
- Triton
- DevOps
- MLOps
- Docker
- Linux
- HPC
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of NVIDIA Switzerland AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
NVIDIA Switzerland AG
Industry
IT
Description
NVIDIA is a leading technology company specializing in Deep Learning, Artificial Intelligence, and Supercomputing.
Not a perfect match?
- NVIDIA
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Full-timeOn-siteSeniorZürich - NVIDIA
HPC and AI Software Architect(m/w/x)
Full-timeOn-siteExperiencedZürich - NVIDIA Switzerland AG
Principal Software Architect, GPU Networking Research(m/w/x)
Full-timeOn-siteSeniorZürich - BVZH Bank Vontobel AG
Head of AI Architecture(m/w/x)
Full-timeOn-siteManagementZürich