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Generative AI Architect - NLP/LLM
Generative AI Architect - NLP/LLMStackRank Search Labs Pvt Ltd • Gurgaon
Generative AI Architect - NLP / LLM

Generative AI Architect - NLP / LLM

StackRank Search Labs Pvt Ltd • Gurgaon
30+ days ago
Job description

Responsibilities :

  • Design and implement advanced solutions utilizing Large Language Models (LLMs).
  • Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions.
  • Conduct research and stay informed about the latest generative AI and LLMs developments.
  • Develop and maintain code libraries, tools, and frameworks to support generative AI development.
  • Participate in code reviews and contribute to maintaining high code quality standards.
  • Engage in the entire software development lifecycle, from design and testing to deployment

and maintenance.

  • Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility.
  • Possess strong analytical and problem-solving skills.
  • Demonstrate excellent communication skills and the ability to work effectively in a team environment.
  • Primary Skills :

  • Natural Language Processing (NLP) : Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content Computer Vision and Audio : Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis.
  • Generative AI :

  • Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, and Prompt engineering (COT, TOT, ReAct, agents).
  • Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text / audio / image / video modalities.
  • Familiarity with Open-source LLMs, including tools like TensorFlow / Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization.
  • Cloud : Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred.
  • Application Development : Proficiency in Python, Docker, FastAPI / Django / Flask, and Git.
  • (ref : hirist.tech)

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