AI Generative Model Developer

3 days ago

Mount Abu, Rajasthan, India beBeeDataScientist Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

As a highly skilled and accomplished Senior Data Scientist, you will be responsible for designing and developing state-of-the-art generative AI models. You will work with cross-functional teams to define project goals, research requirements, and deliver innovative solutions.

The ideal candidate should have deep understanding in designing and developing applications based on 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.

You will collaborate with the team to optimize solutions through thorough research, experimentation, and advanced problem-solving techniques. 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:

  • 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

Nice to Have:

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

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