GenAI Intern

Job highlights

• Preferred Qualifications
• Willingness to work on-site for collaborative development .
• Previous experience with generative AI projects (LLMs,diffusion models,etc.)
• Experience with NLP or computer vision applications . Drive to tackle complex problems beyond your current experience level . .

Job Summary

Join our GenAI team to develop cutting-edge AI applications in a high-standards environment. You will work with the latest generative AI models and technologies, contributing to our innovative products while learning from experienced mentors who value problem-solving ability over tenure.

Responsibilities

• Assist in developing and fine-tuning generative AI models

• Implement and test AI-powered features within our applications

• Contribute to AI model validation and evaluation processes

• Collaborate with cross-functional teams to integrate GenAI solutions

• Document AI implementations and research findings

• Participate in research on emerging AI technologies

  Requirements

• Currently pursuing a degree in Computer Science, AI, or related field

• Basic knowledge of machine learning and AI concepts

• Proficiency in Python and familiarity with ML frameworks (PyTorch, TensorFlow)

• Strong problem-solving skills and attention to detail

• Ability to work in a fast-paced environment and learn quickly

• Willingness to work on-site for collaborative development

  Preferred Qualifications

• Previous experience with generative AI projects (LLMs, diffusion models, etc.)

• Familiarity with cloud platforms (AWS, GCP, Azure)

• Understanding of prompt engineering and LLM fine-tuning

• Experience with NLP or computer vision applications

• Drive to tackle complex problems beyond your current experience level

  Skills

• Python

• PyTorch

• TensorFlow

• LLMs

• Generative AI

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.