Director of Advanced Intelligence Solutions

1 day ago

Thiruvananthapuram, Kerala, India beBeeArtificialIntelligence Full time ₹ 2,00,00,000 - ₹ 2,40,00,000

We are seeking a visionary leader to spearhead the development and implementation of Large Language Models.

With 16+ years of experience in AI/ML, you will be responsible for designing and overseeing the overall architecture for our LLMs, ensuring alignment with business objectives. Your technical expertise will drive the selection of technology stacks, frameworks, and tools for LLM development and deployment.

You will oversee the integration of data pipelines, model training environments, and deployment infrastructure, while identifying potential technical risks and defining mitigation strategies.

Collaboration is key as you work with data scientists, engineers, domain experts, and stakeholders for cohesive implementation. Your role also includes staying updated with AI advancements and incorporating best practices to improve LLM capabilities.

Conducting in-depth research on LLM architectures, including open-source and domain-specific models like GPT, BERT, and FinBERT, is an essential part of this position.

Key Responsibilities:

  • Design & Oversee AI Architecture: Develop the overall architecture for the LLM, ensuring alignment with business objectives.
  • Technical Strategy & 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 & Best Practices: Stay updated with AI advancements and incorporate best practices to improve LLM capabilities.
  • Research & 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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