Job Description

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

Pay: ?5,000.00 per month

Benefits:

Paid sick time
Schedule:

Day shift
Work Location: In person