Gen AI Intern

We are looking for a highly motivated and curious Generative AI Intern to join our team. This internship is an exciting opportunity to work on cutting-edge AI technologies including language models (like ChatGPT), image generation tools, and more. You will assist in building, testing, and evaluating AI-powered applications and contribute to real-world AI projects.

Key Responsibilities:

• Assist in the development and fine-tuning of generative AI models (text, image, audio, etc.).
• Support the team in creating prompts, evaluating outputs, and refining model responses.
• Perform data cleaning, annotation, and preparation for model training.
• Conduct literature research on the latest AI/ML techniques and tools.
• Collaborate with cross-functional teams to integrate AI models into products or services.
• Document experiments, processes, and results in a clear and organized manner.

Requirements:

• Pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Basic understanding of Machine Learning and Natural Language Processing.
• Familiarity with Python and libraries like TensorFlow, PyTorch, Hugging Face Transformers, etc.
• Good analytical and problem-solving skills.
• Enthusiasm to learn and work on generative AI models (LLMs, diffusion models, etc.).
• Strong communication and teamwork skills.

Preferred Qualifications (Bonus):

• Experience with prompt engineering or building with APIs like OpenAI, Cohere, or Anthropic.
• Knowledge of deep learning architectures (Transformers, GANs, etc.).
• Exposure to tools like LangChain, Pinecone, or vector databases.

Benefits:

• Hands-on experience with cutting-edge AI tools and technologies.
• Mentorship from experienced AI engineers and researchers.
• Opportunity to work on impactful, real-world projects.
• Certificate and letter of recommendation upon successful completion.

Job Types: Full-time, Permanent, Internship
Contract length: 3 months

Benefits:

• Paid sick time

Schedule:

• Day shift

Work Location: In person