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Director - AI Architect

Director - AI Architect

Live ConnectionsVisakhapatnam, IN
30+ days ago
Job description

Role : Director Principle Technology Architect

Experience : 15+ yrs

Work Mode : Remote

Budget : 55 lpa includes 10% var

  • Finding strong AI Architect profiles with a solid background in Design & development.

Key Responsibilities :

  • Design and Oversee AI Architecture : Develop the overall architecture for the LLM from pretraining to supervised fine tuning and RLHF.
  • Technical Strategy and Roadmap : Define the technical strategy and create a roadmap for the project, aligning it with organizational goals.
  • Technology Selection : Make high-level decisions on technology stack, frameworks, and tools to be used in the development and deployment of the use case, platforms and solutions.
  • Integration Management : Oversee the integration of various AI components, including data pipelines, model training environments, and deployment infrastructure.
  • Risk Management : Identify potential technical risks in the project and develop strategies to mitigate them.
  • Collaboration : Work closely with data scientists, engineers, domain experts, and stakeholders to ensure cohesive development and implementation.
  • Innovation and Best Practices : Stay informed about the latest advancements in AI technology and implement best practices to enhance the LLM's capabilities.
  • Research and Evaluation : Conduct comprehensive research on existing LLM architectures, including open-source models like GPT, Mistral, DeepSeek, Qwwn and domain-specific variants like FinBERT.

    • Required Skills :

  • Extensive AI / ML Experience : Deep knowledge of artificial intelligence and machine learning concepts, particularly in natural language processing (NLP) and large language models (LLMs).
  • Software Architecture Expertise : Strong understanding of software architecture principles, including scalability, modularity, and security.
  • Cloud Computing Proficiency : Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and distributed computing environments.
  • Data Architecture Knowledge : Familiarity with data management practices, big data technologies, and data pipeline design.
  • MLOps Experience : Understanding of MLOps practices for continuous integration, delivery, and monitoring of machine learning models.
  • Leadership Skills : Strong leadership abilities to guide technical teams and communicate effectively with non-technical stakeholders.
  • Problem-Solving Abilities : Excellent analytical skills to address complex technical challenges and devise innovative solutions.

    • Interested Candidate please forward your updated resume at anjana.v@livecjobs.com

    or whats up at 7386691110

    Warm Regards,

    Anjana

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