AI Engineer Inern
Six-month paid AI Engineer internship in Delhi (hybrid, Saturdays in office) with a ₹7,000 stipend. The intern helps design, train, and evaluate ML models for classification, NLP, and conversational analytics, integrates AI into backend services, and works with Python plus scikit-learn, TensorFlow, or PyTorch.
- Compensation
- ₹7K / mo
- Location
- Delhi
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Internship
- Experience
- Not specified
- Category
- Ai engineering
- Posted
Skills
Must have
- Pursuing a Bachelor's degree in Computer Science, AI, ML, Data Science, or related field (3rd/4th year)
- Solid programming skills in Python (primary)
- Familiarity with libraries such as scikit-learn, TensorFlow, or PyTorch
- Basic understanding of machine learning concepts, data preprocessing, and evaluation metrics
- Interest in natural language processing and conversational AI technologies
- Eagerness to learn, strong analytical skills, and ability to work collaboratively in a hybrid setup
- Ability to communicate technical ideas clearly in written and verbal form
Full description
Compensation: ₹7,000 – ₹7,000 • No equity
Position: AI Engineer Intern
Location: Delhi (Hybrid; Saturdays in office)
Duration: 6 months
Stipend: PAID
Eligibility: 3rd year / 4th year Undergraduate (Computer Science, IT, AI/ML, or related disciplines)
Selection: Rigorous assignment and technical evaluation (apply only if genuinely interested and committed)
Key Responsibilities
Assist in designing, training, and evaluating machine learning models relevant to classification, NLP, or conversational analytics.
Support integration of AI components into backend services and user-facing platforms.
Participate in feature engineering, model testing, and iterative refinement of AI/ML pipelines.
Writeble code, modular code and documentation for developed models and systems.
Collaborate with senior engineers to deploy models to staging environments and monitor performance.
Research and experiment with new AI/ML techniques that can improve product capabilities.
Troubleshoot and debug issues identified during development and testing cycles.
Required Skills
Pursuing a Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related field (3rd/4th year).
Solid programming skills in Python (primary) and familiarity with libraries such as scikit-learn, TensorFlow, or PyTorch.
Basic understanding of machine learning concepts, data preprocessing, and evaluation metrics.
Interest in natural language processing and conversational AI technologies.
Eagerness to learn, strong analytical skills, and ability to work collaboratively in a hybrid work setup.
Ability to communicate technical ideas clearly in written and verbal form.