We are seeking a highly motivated and talented Machine Learning / Generative AI Intern to join our dynamic team. The ideal candidate will have a strong passion for AI and machine learning, with a specific interest in video generation and large language models. This internship offers the opportunity to work on cutting-edge projects, contribute to real-world applications, and gain valuable experience in a fast-paced, collaborative environment.
Key Responsibilities:
- Assist in the development and implementation of machine learning models for video generation and LLM applications
- Conduct research and experiments to improve existing algorithms and develop new approaches
- Collaborate with team members to collect, pre-process, and analyze data
- Participate in brainstorming sessions and contribute innovative ideas to improve project outcomes
- Assist in the documentation and presentation of research findings and project progress
- Support the deployment and testing of AI models in production environments
- Stay up-to-date with the latest advancements in AI, machine learning, and generative technologies
Qualifications:
- Currently pursuing a degree in Computer Science, Electrical Engineering, Mathematics, or a related field
- Strong foundation in machine learning principles and algorithms
- Proficiency in programming languages such as Python, and experience with ML frameworks (e.g., TensorFlow, PyTorch)
- Familiarity with video generation techniques and large language models (e.g., GPT, BERT)
- Experience with data pre-processing, data augmentation, and data analysis
- Knowledge of computer vision and natural language processing is a plus
- Strong analytical and problem-solving skills
- Excellent communication and teamwork abilities
- Self-motivated with a passion for learning and innovation
PPO Criteria :
- Demonstrate exceptional performance and contribution during the internship
- Successfully complete assigned projects and tasks
- Exhibit a strong understanding of ML/AI/Python/ReactJS concepts and practical applications
- Showcase effective communication and teamwork skills
- The compensation package during full-time employment will be based on the candidates performance during the internship
Employment Type: Full Time, Permanent
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