Generative AI Engineer
2 months ago
Role Overview: We are seeking a motivated and talented Generative AI Intern to join our team. This internship offers an exciting opportunity to work on real-world projects involving state-of-the-art generative AI models. As an intern, you will collaborate with our experienced AI and data science professionals, contributing to the development of innovative solutions for our clients.
Key Responsibilities:
- Assist in the design, development, and implementation of generative AI models for various applications.- Conduct research and experiments to explore new algorithms and techniques in the field of generative AI.- Work on data preprocessing, model training, and performance evaluation to ensure high-quality results.- Collaborate with cross-functional teams to understand client requirements and deliver customized AI solutions.- Participate in brainstorming sessions and contribute innovative ideas to improve existing models and processes.- Document project progress, methodologies, and findings to support knowledge sharing within the team.
Qualifications:
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.- Strong understanding of machine learning and deep learning concepts, especially in generative models (e.g., GANs, VAEs, Transformer-based models).- Proficiency in programming languages such as Python, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch).- Familiarity with data preprocessing techniques and experience working with large datasets.- Strong analytical and problem-solving skills, with the ability to think creatively and independently.- Excellent communication and teamwork skills.
Preferred Skills:
- Experience with natural language processing (NLP) and computer vision applications.- Knowledge of cloud platforms (e.g., Google Cloud, AWS) and deployment of AI models in a cloud environment.- Familiarity with version control systems (e.g., Git) and collaborative coding practices.
Duration: 6 months (with the possibility of full-time offer based on performance)
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