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.