AI Solutions Architect: DNN Evaluation & Agentic Pipelines

NVIDIA; Lavamünd; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

NVIDIA’s Worldwide Field Operations team seeks an AI-focused Solution Architect to evaluate neural networks and design agentic AI pipelines across EMEA, interfacing with customers and engineers. You will benchmark models, extend evaluation benchmarks, and promote NVIDIA tech through proofs-of-concept and strategic engagements. The role emphasizes LLM/VLM tech, retrieval pipelines, and robust evaluation strategies.

Qualifikationen

• MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields.
• 5+ years of hands-on experience in building, evaluating Deep Neural Networks.
• Experience in machine learning, deep learning and data science with focus on DL.
• Experience with LLMs or VLMs and Retrieval Systems.
• Familiarity with libraries like Eval Harness or NVIDIA Evaluation Microservice.

Aufgaben

• Work directly with key customers to understand their technology and provide best solutions.
• Drive adoption of NVIDIA open-source evaluation tools and help standardize evaluation methodologies.
• Develop and demonstrate solutions based on NVIDIA and open-source LLM tech for agentic pipelines.
• Collaborate with engineering, product and sales to plan and implement customer-centric solutions.
• Contribute to integration of NVIDIA technology into Enterprise Computing architectures.

Kenntnisse

Deep NN evaluation

LLMs & VLMs

Retrieval systems

Evaluation tooling

Data science background

Ausbildung

MS/PhD or equivalent

Tools

Eval Harness

NVIDIA Evaluation Microservice

NeMo tools

Jobbeschreibung

NVIDIA’s Worldwide Field Operations team seeks an AI-focused Solution Architect to evaluate neural networks and design agentic AI pipelines across EMEA, interfacing with customers and engineers. You will benchmark models, extend evaluation benchmarks, and promote NVIDIA tech through proofs-of-concept and strategic engagements. The role emphasizes LLM/VLM tech, retrieval pipelines, and robust evaluation strategies.