LLM Developer (Gen AI - Python) Internship

About the Role

As an LLM Developer (Gen AI - Python) Intern, you will be responsible for developing and implementing Large Language Models (LLMs) using Python, with a focus on backend architecture and Odoo development. You will work closely with the AI team to design, build, and deploy LLMs that meet the company's requirements. Your primary goal will be to ensure the scalability, efficiency, and reliability of the LLMs.

Key Responsibilities

• Develop and implement LLMs using Python and relevant libraries.
• Design and implement backend architecture for LLMs, ensuring scalability and efficiency.
• Work with the AI team to integrate LLMs with Odoo development, ensuring seamless integration.
• Implement model quantization techniques to optimize LLM performance.
• Develop and maintain inference engines for LLMs, ensuring high-performance and reliability.
• Collaborate with the AI safety infrastructure team to ensure the safe deployment of LLMs.
• Contribute to the development of LLM orchestration tools and workflows.

Skills & Qualifications

• Proficiency in Python programming language.
• Experience with object-oriented programming concepts.
• Familiarity with backend architecture design and implementation.
• Knowledge of Odoo development and its integration with LLMs.
• Understanding of model quantization techniques and their application in LLMs.
• Experience with inference engines and their development.
• Familiarity with AI safety infrastructure and its importance in LLM deployment.
• Bachelor's degree in Computer Science or a related field.
• Strong problem-solving skills and attention to detail.

What You'll Learn

As an LLM Developer (Gen AI - Python) Intern, you will gain hands-on experience in developing and implementing Large Language Models using Python. You will learn about backend architecture design, Odoo development, and model quantization techniques, which will help you develop a strong foundation in AI and machine learning. Additionally, you will gain experience working with the AI safety infrastructure team, which will help you understand the importance of safety in AI deployment.

Resume Tip

When applying for this role, make sure to highlight your experience with Python programming language, object-oriented programming concepts, and backend architecture design. Also, be prepared to explain your understanding of model quantization techniques and their application in LLMs. It's also essential to showcase your problem-solving skills and attention to detail, which are crucial for this role.