LLM Engineer

3 days ago

Hyderabad, Telangana, India Huemn Full time ₹ 1,04,000 - ₹ 1,30,878 per year

Job Overview

We are seeking a Junior LLM Engineer to join our dynamic team at Huemn in Hyderabad. This full-time position requires 1 to 3 years of work experience. The ideal candidate will have a strong background in natural language processing and large language models, crucial for advancing our AI-powered tools. You will collaborate with cross-functional teams to enhance our innovative studio management technology, making a significant impact on the photography industry.

Qualifications and Skills

  • Proficiency in natural language processing with a focus on implementing text and language algorithms.
  • Experience with large language models, understanding their applications and limitations. (Mandatory skill)
  • Knowledge of retrieval-augmented generation to improve the effectiveness and accuracy of AI outputs. (Mandatory skill)
  • Strong programming skills in Python for developing scalable machine learning models.
  • Familiarity with Hugging Face tools to leverage pre-trained models effectively for various NLP tasks.
  • Understanding of TensorFlow for creating and training sophisticated neural networks on large datasets.
  • Capable of working with knowledge graphs to enhance data interoperability and reasoning capabilities.
  • Demonstrated ability to collaborate in a fast-paced environment and integrate new technologies into existing solutions.

Roles and Responsibilities

  • Design and implement NLP solutions powered by state-of-the-art LLMs to enhance our tech tool suite.
  • Collaborate with product and design teams to integrate AI features into existing photography management systems.
  • Use RAG techniques to optimize the retrieval and generation capabilities of our AI models.
  • Maintain and improve the existing AI infrastructure for optimal performance and scalability.
  • Conduct research to stay updated with the latest advancements in AI and NLP technologies.
  • Translate complex business requirements into technical solutions using knowledge graphs and data modeling.
  • Participate in code reviews and provide constructive feedback to peers to maintain code quality.
  • Contribute to a collaborative team environment, fostering a culture of continuous improvement and innovation.

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