AI Trainee Intern

About Us

Role Overview

Key Responsibilities

• Model Development: Assist in building, training, and testing machine learning and deep learning models.
• Data Handling: Help with data preprocessing, cleaning, and analysis to prepare datasets for model training.
• Open Source Contribution: Actively engage with and contribute to open-source AI frameworks and tools.
• Tool Familiarization: Become proficient with and utilize specific tools and frameworks like N89, MCP, and open-source alternatives to platforms like HeyGen (e.g., for video generation and avatar creation).
• Research & Prototyping: Research new AI techniques and help build prototypes to explore their potential.
• Documentation: Create clear and concise documentation for code, models, and processes.
• Collaboration: Work closely with the team to understand project requirements and deliver high-quality solutions.
  

Qualifications And Skills

• Education: Recently graduated with a bachelor's or master's degree in Computer Science, Data Science, or a related technical field.
• Programming: Strong proficiency in Python is essential.
• Technical Skills:
• Familiarity with key AI and machine learning concepts.
• Experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras.
• Knowledge of common libraries like NumPy, Pandas, and Scikit-learn.
• Open Source Passion: A demonstrated interest in open-source technologies and a willingness to contribute. Experience with Git and GitHub is highly valued.
• Tool Experience: Familiarity with or a strong desire to learn and use tools and frameworks such as N89, MCP, and open-source projects related to AI video generation, synthetic media, or other cutting-edge AI applications.
• Problem-Solving: Excellent analytical and problem-solving skills.
• Hackathon Experience: Prior participation in coding hackathons, coding competitions, or personal projects is a significant plus, as it showcases practical skills and a passion for technology.
• Communication: Strong verbal and written communication skills.
  

What We Offer

• Mentorship: Direct guidance from experienced AI engineers.
• Hands-on Experience: The chance to work on challenging and meaningful projects.
• Learning & Development: Opportunities to attend workshops and learn about the latest industry trends.