Senior AI Architect

4 days ago

Gulbarga, Karnataka, India beBeeDataScientist Full time ₹ 15,00,000 - ₹ 20,00,000

Job Title: Senior AI Architect

Team: Data Engineering

We are seeking a highly skilled and accomplished AI expert with a minimum of 6 years of experience.

The ideal candidate should have a deep understanding in designing and developing Large Language Models (LLMs).

A deep understanding of foundational models, frameworks, and techniques is crucial for success in this role. Apply innovative solutions to complex problems.

Additionally, expertise in working within cloud computing environments to deploy and manage machine learning models is essential.

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.
  • 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:

  • 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:

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

Others:

  • AWS preferred/GCP/Azure experience

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