Position Overview:

We are excited to offer a unique opportunity for a talented and driven Machine Learning Engineer Intern to join our team for a 3-month internship. As a Machine Learning Engineer Intern, you will have the chance to work on cutting-edge projects, including LangChain, RAG, integrating LLM APIs, researching text splitting techniques, and building a knowledge base.

Responsibilities:

• Work on projects including LangChain, RAG, and integrating LLM APIs to enhance functionality and performance.
• Conduct research on text splitting methodologies to optimize the retention of contextual information.
• Develop and implement machine learning algorithms to enhance text splitting effectiveness and efficiency.
• Collaborate with cross-functional teams to gather requirements, analyze data, and integrate machine learning solutions.
• Build and maintain a comprehensive knowledge base leveraging insights gained from research and project work.

Roles:

• Currently pursuing a... Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
• Understanding of machine learning fundamentals, natural language processing (NLP) techniques, and API integration.
• Proficiency in programming languages such as Python.
• Experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Familiarity with LangChain, RAG, and LLM APIs is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration abilities.

Benefits:

• Opportunity to work on cutting-edge projects with real-world applications.
• Hands-on experience with state-of-the-art machine learning technologies and APIs.
• Mentorship from professionals in the field.
• Competitive internship stipend.
• Flexible working hours and a supportive work environment