AI Innovator

1 week ago

Udaipur, Rajasthan, India beBeeGenerative Full time US$ 1,20,000 - US$ 1,50,000
Job Summary:

We are seeking a skilled Artificial Intelligence Engineer to join our team and contribute to the development of cutting-edge generative AI projects.

This is an exciting opportunity to work with large language models (LLMs), image generation, and multimodal AI. You will be responsible for building, fine-tuning, and integrating GenAI solutions using Python and Google Cloud Platform (GCP).

Key Responsibilities:
  • Assist in the development, evaluation, and fine-tuning of LLMs and image generation models.
  • Support the integration of GenAI models into cloud-based workflows, including API usage and orchestration.
  • Collaborate closely 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.
  • 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:
  • Master's degree in computer science, engineering, mathematics, or a related field.
  • Strong Python programming skills, familiarity with libraries such as Transformers, diffusers, or similar GenAI toolkits is a plus.
  • Basic understanding of generative AI concepts (LLMs, agents, RAG, text-to-image, diffusion models, etc.).
  • Interest or experience in using APIs and SDKs for LLMs (OpenAI, Gemini, Claude, or similar) and image generation (Imagen, Stable Diffusion, etc.).
  • Familiarity with cloud platforms, especially Google Cloud Platform (GCP), or strong willingness to learn.
  • Strong knowledge of Git and experience working with version control in a collaborative environment.
  • Enthusiastic about GenAI, eager to learn modern engineering team practices, and able to work collaboratively.

Working Conditions:

  • Full-time.
  • Limited travel may be required depending on team needs.
  • Flexibility to operate in a global organization.

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