Large Language Model Architect

4 days ago

Bengaluru, Karnataka, India ARA Resources Pvt. Ltd. Full time ₹ 15,00,000 - ₹ 28,00,000 per year

About the Client:

ARA's client TechGlobal (pseudonym) is a global leader in strategy, technology consulting and digital services, enabling clients in more than 100+ countries to implement cutting edge solutions in their transformation journey. TechGlobal helps businesses become digital-first and digital-ready. The company has a global presence with employees in India). India is a focus for them with their Development Centres presence in over 10 locations across Tier 1 and Tier 2 cities. They are recognised for their people first and employee-oriented policies. Along with offering hybrid work options, a Pan India presence gives flexible location options to employees.

Role Summary:

As a
Large Language Model Architect
, you will lead the design, development, and optimization of advanced neural architectures for natural language understanding and generation. You will collaborate across multiple teams to refine model performance, guide strategic AI decisions, and mentor teams in applying cutting-edge approaches in NLP.

Key Responsibilities:

  • Act as a Subject Matter Expert (SME) on Large Language Models.
  • Architect and design neural network parameters for high-performing LLMs.
  • Oversee team contributions, ensuring alignment with business and technical goals.
  • Collaborate cross-functionally, influencing decision-making across multiple teams.
  • Provide innovative, scalable solutions to NLP challenges.
  • Lead and facilitate knowledge-sharing sessions to uplift team capabilities.
  • Monitor and evaluate model performance, optimizing for functionality, scalability, and accuracy.

Skills Required:

  • 12+ years of hands-on experience in
    Large Language Models (LLMs)
    .
  • Deep understanding of
    neural network architectures
    and their applications.
  • Strong expertise in
    natural language processing (NLP)
    techniques and frameworks.
  • Proficiency in
    data preprocessing, augmentation, and pipeline design
    .
  • Proven ability to analyze and interpret
    model performance metrics
    .

Qualifications & Experience:

  • Any graduate
  • 12 to 20 years of experience

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