AI Engineer Interns
Summary
Unpaid internship (revenue-partnership basis) in Bengaluru where interns help build, train, and optimize ML/deep learning models, prepare datasets, and integrate AI models into applications. Core stack: Python, TensorFlow/PyTorch/Scikit-learn/Keras, and Pandas/NumPy.
Compensation: No equity
Type : Unpaid/ Revenue Partnership Basis
Job Overview
We are seeking highly motivated AI Engineer Interns who are passionate about Artificial Intelligence, Machine Learning, and emerging technologies. The intern will assist in designing, developing, and testing AI-based solutions while gaining hands-on experience in real-world AI applications.
This internship offers an opportunity to work on cutting-edge AI technologies including machine learning models, data processing pipelines, AI automation tools, and intelligent systems.
The ideal candidate should possess strong analytical skills, programming knowledge, and a curiosity to explore innovative AI solutions.
Key Responsibilities AI Model Development
Assist in building and training machine learning and deep learning models.
Support development of AI-based applications and automation systems.
Work on data preprocessing, feature engineering, and dataset preparation.
Research & Innovation
Conduct research on latest AI technologies, tools, and frameworks.
Experiment with new AI models and techniques to improve performance.
Analyze research papers and implement experimental solutions.
Data Analysis
Collect, clean, and analyze structured and unstructured datasets.
Assist in building data pipelines for AI model training.
AI Integration
Help integrate AI models into applications, APIs, or software systems.
Work with developers to deploy AI models into production environments.
Testing & Optimization
Evaluate AI models for performance, accuracy, and scalability.
Optimize models to improve prediction accuracy and efficiency.
Required Skills
Strong knowledge of Python programming
Basic understanding of Machine Learning and Artificial Intelligence
Familiarity with libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras
Knowledge of data analysis tools (Pandas, NumPy)
Basic understanding of statistics and algorithms
Problem-solving and analytical thinking
Preferred Qualifications
Experience with Natural Language Processing (NLP)
Knowledge of Computer Vision
Familiarity with LLMs, AI APIs, or generative AI tools
Basic knowledge of cloud platforms (AWS, Azure, GCP)
Understanding of Git and software development workflows
Eligibility Criteria
Pursuing or recently completed Bachelor’s/Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field
Strong interest in AI research and development
Open to students, fresh graduates, and AI enthusiasts
Internship Benefits
Hands-on experience with real-world AI projects
Opportunity to work with AI engineers and researchers
Exposure to machine learning pipelines and AI product development
Internship certificate and performance-based recommendation
Opportunity for full-time role based on performance