Senior Expert in AI Solutions

2 weeks ago

Bengaluru, Karnataka, India beBeeGenerativeAI Full time US$ 1,50,000 - US$ 2,00,000
Job Description

We are seeking a highly experienced and skilled Generative AI Solution Architect to join our team. As a key member, you will drive innovation and impact in real-world deployments of cutting-edge generative AI technology.

Responsibilities:
  • Architect end-to-end generative AI solutions with a focus on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) workflows.
  • Collaborate with clients to understand business problems and translate them into tailored LLM-based solutions.
  • Design and lead workshops and technical sessions to define, optimize, and deploy RAG-based and LLM-powered systems.
  • Train and fine-tune state-of-the-art LLMs on cloud platforms, optimizing for performance, cost, and efficiency.
  • Deploy and integrate LLMs and RAG workflows in cloud and on-premise environments, enabling real-world applications.
  • Work closely with engineering and product teams, influencing the evolution of generative AI tools and technologies.
Requirements:
  • Master's or Ph.D. in Computer Science, AI, or a related field.
  • 5+ years of hands-on experience with LLM training, deployment, and production optimization.
  • Deep understanding of language models like GPT-3, BERT, and experience with RAG.
  • Proficient in PyTorch, TensorFlow, and Hugging Face Transformers.
  • Familiar with GPU acceleration, distributed computing, and inference tuning on NVIDIA hardware.
  • Experience presenting to clients and leading cross-functional collaboration.
Desirable Skills:
  • Experience deploying LLMs in cloud clusters.
  • Proficiency with Docker, Kubernetes, and GPU cluster management.
  • Proven ability to optimize LLM inference for speed, memory, and cost.
  • Hands-on experience with NVIDIA GPU technologies, profiling, and distributed model execution.
What We Offer:
  • Opportunity to work on cutting-edge generative AI projects.
  • Collaborative and dynamic work environment.
  • Professional development opportunities.

If you're passionate about the future of AI and want to help define how organizations use LLMs at scale, we encourage you to apply.

We are an equal opportunity employer and committed to diversity in our workforce.

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