Artificial Intelligence Engineer

About the Internship

• Duration: 3 Months
• Stipend: Up to ₹10,000 (Performance-Based)
• Type: Paid, Remote Internship
• Suitable for: Freshers with an interest in Artificial Intelligence, Machine Learning, Data Science, Computer Science, or a related area.

Key Responsibilities

• Assist in developing and implementing AI and machine learning solutions for practical use cases.
• Collect, clean, preprocess, and analyze datasets for AI and machine learning projects.
• Assist in training, testing, and evaluating machine learning models.
• Work with Python and libraries such as NumPy, Pandas, Scikit-learn, and similar tools.
• Explore and implement basic machine learning and deep learning techniques.
• Assist in developing AI applications using APIs, pre-trained models, and relevant AI frameworks.
• Explore areas such as Natural Language Processing, computer vision, generative AI, and large language models.
• Perform model testing, debugging, and basic performance optimization.
• Document experiments, methodologies, results, and technical approaches clearly.
• Research emerging AI technologies, tools, and industry applications.
• Collaborate with remote team members to complete assigned AI projects and deliverables.
• Present project findings and communicate technical concepts clearly.

Requirements & Tech Stack

• Basic understanding of AI and machine learning concepts.
• Basic knowledge of Python programming.
• Familiarity with libraries such as NumPy, Pandas, and Scikit-learn is beneficial.
• Basic understanding of data preprocessing, model training, testing, and evaluation is beneficial.
• Familiarity with Generative AI, LLMs, prompt engineering, or AI APIs is beneficial.
• Basic understanding of mathematics and statistics used in machine learning is beneficial.
• Familiarity with Git and version control is beneficial.
• Strong analytical thinking, logical reasoning, problem-solving ability, and willingness to learn.
• Good written and verbal communication skills.
• Ability to work independently in a remote environment while managing deadlines responsibly.