Chief Technology Officer

3 days ago

Madurai, Tamil Nadu, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Overview:

We are seeking an accomplished Data Architect with a minimum of 6 years of experience to lead the development of Large Language Models (LLMs).

The ideal candidate should have a deep understanding in designing and developing cutting-edge applications based on LLMs, as well as a thorough knowledge of foundational models, frameworks, and techniques.

A successful candidate will be able to collaborate with cross-functional teams to define project goals, research requirements, and deliver innovative solutions that enhance the outcomes of LLMs.

Key Responsibilities:

  • Design, develop, and implement state-of-the-art generative AI models.
  • Collaborate with cross-functional teams to define project goals, research requirements, and deliver innovative solutions.
  • Optimize solutions through thorough research, experimentation, and advanced problem-solving techniques.
  • Stay up-to-date with the newest developments in generative AI, deep learning, and associated areas, integrating emerging methods into our processes.
  • Develop and maintain clear and concise documentation of generative AI models, processes, and results.
  • Communicate complex concepts and results effectively to both technical and non-technical stakeholders.
  • Provide support and guidance to team members, contributing to a positive and collaborative working environment.

Required Skills and Qualifications:

  • Proficient coding skills in Python and SQL.
  • Thorough understanding of prompt engineering, including refining and optimizing prompts to enhance the outcomes of Large Language Models (LLMs).
  • Working experience with LangChain and a comprehensive understanding of LangChain concepts such as agents, chains, memory, and tools.
  • Knowledge of vector databases and embeddings.
  • Familiarity with the landscape of LLMs, including the GPT family of models and open-source models like LLaMA and Falcon.
  • Experience in cloud computing platforms: AWS preferred/GCP/Azure.
  • API understanding.

Nice to Have Skills:

  • AWS working understanding e.g. Lambda,Sagemaker.
  • Vector databases.

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