AI Specialist

24 hours ago

Bhavnagar, Gujarat, India beBeeArtificial Full time ₹ 15,00,000 - ₹ 25,00,000

We're seeking a highly skilled Artificial Intelligence Specialist to join our team.

This is an exciting opportunity to work on cutting-edge projects in generative AI, including large language models (LLMs), image generation, and multimodal AI. As an AI Specialist, you'll be responsible for building, fine-tuning, and integrating GenAI solutions primarily using Python and Google Cloud Platform (GCP).

Key Responsibilities:
  • Develop, evaluate, and refine large language models (LLMs) and image generation models.
  • Support the integration of GenAI models into our cloud-based workflows (GCP), including API usage and orchestration.
  • Collaborate with engineering and data science team members on code reviews, feature development, and sprint activities.
  • Use Git for version control, branching, merging, and code collaboration according to established workflows (pull requests, code reviews, etc.).
  • Contribute data pipelines and maintain scripts in Python for GenAI applications.
  • Conduct experiments, benchmark model performance, and assist in the analysis of results.
  • Participate in maintaining project documentation and team knowledge sharing.
Qualifications:

We're looking for candidates with strong Python programming skills and experience working with libraries such as Transformers, diffusers, or similar GenAI toolkits. A basic understanding of generative AI concepts (LLMs, agents, RAG, text-to-image, diffusion models, etc.) is also essential. Additionally, familiarity with cloud platforms, especially Google Cloud Platform (GCP), or a strong willingness to learn is necessary.

  • Education: Master's degree in computer science, Engineering, Mathematics, or a related field.
  • Experience: Strong background in Python programming: experience with APIs and SDKs for LLMs (OpenAI, Gemini, Claude, or similar) and image generation (Imagen, Stable Diffusion, etc.) is a plus.
Working Conditions:

This is a full-time position with limited travel requirements depending on team needs. The successful candidate will have flexibility to operate in a global organization.

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