About the Internship:

We are seeking a highly motivated and enthusiastic Machine Learning Engineer Intern to join our growing AI team at Inforwaves. This internship offers a fantastic opportunity to gain practical experience in the exciting field of Artificial Intelligence and contribute to cutting-edge projects. You will work alongside experienced engineers and researchers, learning and applying the latest advancements in machine learning. This is an excellent chance to develop your skills and build a strong foundation for a career in AI.

Responsibilities:

• Assist in the development and implementation of machine learning models and systems.
• Participate in the research and exploration of state-of-the-art AI technologies.
• Work with large datasets for training and evaluating machine learning models.
• Contribute to the design and implementation of AI agents for various applications.
• Collaborate with senior engineers to understand and implement LLM (Large Language Model) solutions.
• Assist in the deployment and monitoring of machine learning models.
• Participate in code reviews and contribute to improving code quality.
• Document research findings, code, and project progress.
• Stay up-to-date with the latest advancements in the field of machine learning and AI.

Required Skills and Qualifications:

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Strong understanding of fundamental machine learning concepts and algorithms.
• Proficiency in Python programming language and relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
• Familiarity with Large Language Models (LLMs), their architectures, and applications.
• Basic understanding of AI Agents and their design principles.
• Basic knowledge of LLMOps (Large Language Model Operations), including model deployment and monitoring.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork skills.
• Eagerness to learn and a passion for AI.
• Ability to work independently and manage time effectively.

Preferred Skills (Nice to Have):

• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Familiarity with natural language processing (NLP) concepts and techniques.
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).
• Understanding of data preprocessing and feature engineering techniques.
• Knowledge of version control systems like Git.
• Experience with data visualization tools.
• Prior experience with any AI projects or personal projects is a plus.

What You Will Gain:

• Hands-on experience working on real-world AI projects.
• Mentorship from experienced Machine Learning Engineers.
• Opportunity to learn and apply the latest AI technologies, including LLMs and AI Agents.
• Exposure to the full software development lifecycle.
• Development of valuable technical and professional skills.
• Potential for future employment opportunities at Inforwaves based on performance.