Chief AI Visionary

5 hours ago

Dombivli, Maharashtra, India beBeeArtificial Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Title: Chief AI Visionary

  • We are seeking a seasoned AI/ML expert to lead the development of our Large Language Model (LLM) architecture.

As the Chief AI Visionary, you will be responsible for designing and overseeing the overall architecture of our LLM, ensuring alignment with business objectives.

Key Responsibilities:

  • Design and oversee AI architecture: Develop the overall architecture for the LLM, ensuring alignment with business objectives.
  • Technical strategy and roadmap: Define the technical strategy and create a roadmap in line with organizational goals.
  • Technology selection: Decide on the technology stack, frameworks, and tools for LLM development and deployment.
  • Integration management: Oversee integration of data pipelines, model training environments, and deployment infrastructure.
  • Risk management: Identify potential technical risks and define mitigation strategies.
  • Collaboration: Work with data scientists, engineers, domain experts, and stakeholders for cohesive implementation.
  • Innovation and best practices: Stay updated with AI advancements and incorporate best practices to improve LLM capabilities.
  • Research and evaluation: Conduct in-depth research on LLM architectures, including open-source and domain-specific models like GPT, BERT, and FinBERT.

Required Skills:

  • AI/ML expertise: Deep knowledge in AI, ML, NLP, and large language models (LLMs).
  • Software architecture: Strong grasp of scalability, modularity, and security principles.
  • Cloud proficiency: Hands-on experience with AWS, Azure, or Google Cloud.
  • Data architecture: Knowledge of big data technologies, data pipeline design, and data management practices.
  • MLOps: Expertise in CI/CD, deployment, and monitoring for ML models.
  • Leadership: Ability to guide technical teams and communicate effectively with stakeholders.
  • Problem-solving: Strong analytical skills for addressing complex technical challenges.

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