AI Trainee Intern

About Us

We are a product engineering and technology consulting firm that focuses on leveraging a fusion of technologies to deliver innovative solutions for businesses. They specialize in areas like AI, big data, blockchain, cloud solutions, DevOps, and IoT, aiming to help clients optimize operations, drive growth, and stay competitive. The company emphasizes customized solutions tailored to specific business needs and stays updated on the latest technological advancements.

Role Overview

We are seeking a highly motivated and talented AI Trainee Intern to join our team. This is a unique opportunity for recent computer science graduates with a passion for open-source technologies and a knack for problem-solving. You will work on real-world projects, helping to

develop, train, and deploy machine learning models. The ideal candidate is a self-starter who is eager to learn and contribute to the entire AI development lifecycle, all while working under the guidance of experienced professionals.

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.