Launch your AI career
Paid internships at Techmorphs Infotech. Work on real AI projects, ship real code, and get mentored by engineers who build production AI systems.
More than a line on your resume
Real project experience
Work on production AI systems, not toy assignments.
Mentorship
Paired with a senior engineer who reviews your code and guides your growth.
Completion certificate
Industry-recognized certificate and LinkedIn recommendation on completion.
Pre-placement offer
Top performers are offered full-time roles at the end of the internship.
Internship roles
Pick the track that matches your interest and skills.
Machine Learning Intern
What you'll do
- Build and train ML models on real datasets
- Work on feature engineering and model evaluation
- Deploy models using Flask/FastAPI
- Collaborate with senior engineers on production pipelines
Requirements
- ·Proficiency in Python & scikit-learn
- ·Understanding of core ML algorithms
- ·Familiarity with Pandas & NumPy
- ·Final-year students or recent graduates preferred
Generative AI Intern
What you'll do
- Build RAG systems and LLM-powered applications
- Work on prompt engineering and fine-tuning
- Integrate with OpenAI, Anthropic, and HuggingFace APIs
- Ship production-grade GenAI features
Requirements
- ·Experience with LangChain or similar frameworks
- ·Understanding of LLMs and embeddings
- ·Python programming skills
- ·Portfolio of GenAI projects is a plus
Agentic AI Intern
What you'll do
- Design and build autonomous AI agents
- Work with LangGraph, CrewAI, and tool-use frameworks
- Develop multi-agent orchestration systems
- Evaluate and debug agent workflows
Requirements
- ·Strong Python skills
- ·Familiarity with LLM APIs (OpenAI/Claude)
- ·Understanding of ReAct and agent patterns
- ·Curiosity and willingness to work on bleeding-edge tech
AI Research Intern
What you'll do
- Research recent papers in ML/NLP/CV
- Prototype and benchmark novel approaches
- Contribute to internal research blogs
- Support curriculum R&D with faculty
Requirements
- ·Strong academic background (B.Tech/M.Tech/PhD)
- ·Experience reading & implementing research papers
- ·Proficiency in PyTorch or TensorFlow
- ·Good written communication
Application process
Apply
Fill out the form with your details and resume.
Screening
We review your profile and projects within 3–5 days.
Interview
Short technical chat and culture fit conversation.
Offer
Selected candidates receive an offer letter within a week.
Submit your application
Fill out the form below and we'll get back to you within 3–5 business days.