Software Intern - Generative AI Developer at People Tech Group Inc in Redmond, Washington

Posted in Other 17 days ago.

Type: intern





Job Description:

Role Overview:

We are seeking a skilled and creative Generative AI Developer to join our team. In this role, you will be responsible for developing, and implementing generative AI models. You will collaborate with cross-functional teams to define project goals, research requirements, and develop innovative solutions that drive value for our clients.

Key Responsibilities:
  • Design, develop, and implement generative AI models using state-of-the-art techniques.
  • Collaborate with cross-functional teams to define project goals, research requirements, and develop innovative solutions.
  • Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques.
  • Stay up to date on the latest advancements in generative AI, deep learning, and related fields, and incorporate new techniques and methods into the team's workflow.
  • Develop and maintain clear and concise documentation of generative AI models, processes, and results.
  • Communicate complex concepts and results to both technical and non-technical stakeholders.
  • Provide support and guidance to other team members, and contribute to a positive, collaborative working environment.

Qualifications:

- Bachelor's degree in computer science, artificial intelligence, or a related field.

- Strong programming skills in Python.

- Experience with machine learning frameworks, such as TensorFlow, PyTorch, or scikit-learn.

- Experience with cloud computing platforms, such as AWS or Azure.

- Excellent communication and problem-solving skills.

- Ability to work independently and as part of a team.

Must-Have Technical Skills:
  1. Programming languages: Python
  2. Machine learning frameworks: TensorFlow, PyTorch, or scikit-learn, Langchain
  3. Cloud computing platforms: AWS or Azure
  4. Natural language processing (NLP)
  5. Generative adversarial networks (GANs)
  6. Variational autoencoders (VAEs)
  7. Diffusion models
  8. Data visualization


*Eligibility: Recent and upcoming May and June graduates*
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