Deep Learning Engineer, Llm Accuracy Evaluation

Sheto

Deep learning methodologies
Llm, rag, agents, vision models
Nvidia inference microservices (nim)
Collaborate closely with partners and the open-source community to deliver flagship models as highly optimized NVIDIA Inference Microservices (NIM)

Job Summary

  • Collaborate closely with partners and the open-source community to deliver flagship models as highly optimized NVIDIA Inference Microservices (NIM).
  • Research and develop innovative deep learning methodologies to accurately evaluate new model families across diverse domains.
  • Work on the most powerful, enterprise-grade GPU clusters capable of hundreds of PetaFLOPS and gain early access to unreleased hardware.

Matching Summary

Collaborate closely with partners and the open-source community to deliver flagship models as highly optimized NVIDIA Inference Microservices (NIM).

Skills & Requirements

Must-have

  • Deep learning methodologies
  • LLM, RAG, agents, vision models
  • NVIDIA Inference Microservices (NIM)
  • AI/DL libraries, frameworks, APIs
  • Deep learning product development

Nice-to-have

  • Accuracy evaluation of LLMs
  • Inference and deployment environments
  • MLOps practices
  • Large-scale workloads
  • Linux environments and containerization

Key Requirements

  • 10+ years of hands-on experience in AI for NLP and LLMs
  • BS, MS, or PhD in Computer Science, AI, Applied Math, or related field, or equivalent experience
  • 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

Work Rights

Not specified

Tailored Resume

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