AI Engineer Intern

AI Engineer Intern

Role: AI Engineer Intern
Experience: Fresher / 0–1 year
Employment Type: Internship
Work Mode: Remote
Duration: 3 months
Stipend: 10k-20k

We are looking for a motivated and enthusiastic AI Engineer Intern to join our team and contribute to the development, testing, and deployment of AI and machine learning solutions. The ideal candidate should have a strong interest in Artificial Intelligence, Machine Learning, and Generative AI, along with a willingness to learn and work on real-world projects.

Key Responsibilities

• Assist in developing and implementing AI/ML models for real-world applications.
• Collect, clean, preprocess, and analyze datasets for model development.
• Develop and evaluate machine learning and deep learning models.
• Work with Generative AI, Large Language Models (LLMs), and NLP technologies.
• Assist in building AI-powered applications, chatbots, and automation solutions.
• Perform model testing, debugging, optimization, and performance evaluation.
• Work with APIs and AI frameworks to integrate models into applications.
• Collaborate with software engineers, data scientists, and other team members.
• Research emerging AI technologies and identify opportunities to apply them to projects.
• Document experiments, methodologies, results, and technical implementations.

Required Skills

• Strong programming knowledge in Python.
• Basic understanding of Machine Learning and Deep Learning concepts.
• Familiarity with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
• Understanding of Natural Language Processing (NLP) is a plus.
• Basic knowledge of Generative AI and LLMs is preferred.
• Familiarity with Git/GitHub and software development practices.
• Strong analytical and problem-solving skills.
• Good communication and teamwork abilities.

Preferred Skills

• Experience with OpenAI/LLM APIs, LangChain, Hugging Face, or similar AI tools.
• Knowledge of databases and SQL.
• Familiarity with REST APIs and cloud platforms such as AWS, Azure, or Google Cloud.
• Experience working on AI/ML academic or personal projects.
• Understanding of model deployment and MLOps concepts.

Qualifications

• Currently pursuing or recently completed a Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, Electronics, or a related field.
• Students with strong AI/ML projects and practical skills are encouraged to apply.

What You Will Gain
Hands-on experience working on real-world AI projects.
Exposure to Machine Learning, Generative AI, and LLM-based applications.
Experience with industry-standard AI development tools and frameworks.
Mentorship from experienced engineers.
Opportunity to build a strong portfolio of AI projects and gain industry experience.