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Senior Solutions Architect - Multimodal AI

πŸ”₯ 17 hours ago
Multimodal AIDocument IntelligenceImage AnalysisVideo Analysis

πŸ“œ Description

  • Serve as the technical expert for EMEA AI Natives companies building multimodal applications for content analysis.
  • Develop technical relationships with customers, assisting from architectural planning to production deployment.
  • Guide customers on model training strategies across various modalities.
  • Represent customer needs to NVIDIA's product teams, influencing roadmap decisions.
  • Engage the developer community through hackathons and technical talks.

πŸ› οΈ Requirements

  • MS or PhD in Computer Science, Engineering, or equivalent experience.
  • 7+ years in applied AI/ML with hands-on experience in document understanding and visual content analysis.
  • Proven track record in building or optimizing VLMs and Omni models.
  • Familiarity with NVIDIA's ecosystem: TensorRT-LLM, NeMo, RAPIDS, or equivalent frameworks.
  • Excellent communication skills, comfortable with research scientists and ML engineers.

✨ Benefits

  • Tackle challenges related to image resolutions and vision encoder optimization.
Full job description

Join our team as a Senior Solutions Architect to leverage your expertise in multimodal AI solutions for image and video document intelligence, driving impactful customer outcomes.

Description

  • Serve as the technical expert for EMEA AI Natives companies building multimodal applications for content analysis.
  • Develop technical relationships with customers, assisting from architectural planning to production deployment.
  • Guide customers on model training strategies across various modalities.
  • Represent customer needs to NVIDIA's product teams, influencing roadmap decisions.
  • Engage the developer community through hackathons and technical talks.

Requirements

  • MS or PhD in Computer Science, Engineering, or equivalent experience.
  • 7+ years in applied AI/ML with hands-on experience in document understanding and visual content analysis.
  • Proven track record in building or optimizing VLMs and Omni models.
  • Familiarity with NVIDIA's ecosystem: TensorRT-LLM, NeMo, RAPIDS, or equivalent frameworks.
  • Excellent communication skills, comfortable with research scientists and ML engineers.

Benefits

  • Tackle challenges related to image resolutions and vision encoder optimization.
Nvidia

Senior Solutions Architect – Large Scale AI Training

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Senior Solutions Architect – Diffusion AI Models

NvidiaπŸ‘₯ 10,000+ employees🏒 Computer Hardware
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We are looking for a Senior Solutions Architect with deep experience in large-scale production AI inference to collaborate with EMEA AI Natives and optimize AI deployments.

AI InferenceNeural NetworksMoe ModelsGPU Clusters
πŸ”₯ 17 hours ago

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Large-scale Neural Network InferenceAI Inference StrategyNVIDIA DynamoTensorrt-LLM
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Deployed Architect, Professional Services (Austin)

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πŸ•’ 4 days ago

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