Chief Generative AI Architect

7 days ago

Bellary, Karnataka, India beBeeDataScientist Full time ₹ 1,20,00,000 - ₹ 2,00,00,000
Senior Data Scientist Role

We are seeking an accomplished Senior Data Scientist with a minimum of 6 years of experience to lead our team in designing and developing applications based on Large Language Models (LLMs). The ideal candidate should have deep understanding in designing and developing applications based on Large Language Models (LLMs).

The selected candidate will be responsible for collaborating with cross-functional teams to define project goals, research requirements, and deliver innovative solutions. They must also have the ability to optimize solutions through thorough research, experimentation, and advanced problem-solving techniques.

Key responsibilities include:

  • 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.
  • Keep up-to-date with the newest developments in generative AI, deep learning, and associated areas, integrating emerging methods into the team's 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:

  • Design, development, and deployment of LLM-based applications.
  • 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.
  • Experience with large-scale data processing and distributed computing is a plus.
  • API understanding.

Benefits of the role:

  • A competitive salary and benefits package.
  • A collaborative and dynamic work environment.

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