AI Engineer Intern
Summary
A 3-month remote internship for freshers (0–1 year) at CRUV in Bangalore, assisting with building, testing, and deploying AI/ML solutions including chatbots, Generative AI, LLM, and NLP applications. Core stack: Python, NumPy/Pandas, Scikit-learn/TensorFlow/PyTorch, Git, and LLM APIs like OpenAI, LangChain, and Hugging Face.
Compensation: ₹10,000 – ₹20,000 • No equity
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.