AI/ML Intern (BTM Layout)

Role Overview We are looking for a motivated AI/ML Intern to work on real-world applied AI projects. In this role, you will collaborate closely with experienced engineers and teams to design, develop, test, and deploy AI-powered solutions. You will gain hands-on experience in building machine learning models, working with large language models, integrating AI systems into applications, and automating workflows using modern tools and frameworks. This internship offers practical exposure to industry-standard development practices, cloud deployment, and end-to-end AI system implementation in a real business environment. Key Responsibilities
- Assist in developing and training AI/ML models
- Perform data preprocessing and analysis
- Work with LLMs, NLP, and prompt engineering
- Integrate AI models into applications
- Support backend and basic frontend development
- Handle database queries and data retrieval
- Build simple automations using n8n
- Use GitHub for version control
- Assist in deployment and testing
- Document work and collaborate with the team Eligibility / Required Qualifications
- B.E / B.Tech / M.E / M.Tech in CSE in Artificial Intelligence / Machine Learning
- 2025 and 2026 pass-out freshers only
- Solid interest in AI and Machine Learning
- Basic understanding of ML concepts
- Willingness to learn and work independently
- Good communication and teamwork skills Must-Have Skills
- Strong programming skills in Python
- Basic knowledge of JavaScript
- Familiarity with FastAPI or similar frameworks
- Basic understanding of React.js and Node.js
- Experience with GitHub
- Familiarity with Hugging Face and OpenAI APIs
- Basic database knowledge (PostgreSQL / Supabase preferred)
- Familiarity with n8n or similar automation tools Good-to-Have Skills
- Experience with PyTorch / TensorFlow / Keras
- Knowledge of NLP concepts and text processing
- Understanding of Large Language Models (LLMs) and transformers
- Experience using Hugging Face models, pipelines, and datasets
- Basic knowledge of fine-tuning and parameter-efficient tuning (LoRA, PEFT)
- Familiarity with embeddings, vector databases, and RAG concepts
- Docker or cloud deployment experience
- Experience building AI-driven automation workflows What We’re Looking For
- Strong interest in building real-world AI and LLM applications
- Willingness to learn Hugging Face, automation, and new tools
- Hands-on and implementation-focused mindset
- Comfort working with prompts, data, and model evaluation
- Self-motivated with good problem-solving skills
- Commitment to meeting project timelines Job Types: Full-time, Permanent Pay: ₹8,000.00
- ₹10,000.00 per month Benefits:
- Provident Fund Work Location: In person Apply on Kit Job: kitjob.in/job/4mrf25