Six-month on-site internship building and testing ML and generative-AI features. Responsibilities include dataset preparation, model development and evaluation, RAG/prompt-engineering experiments, and communicating results to technical and business teams.
Description
About the Role
As a Machine Learning & Generative AI Intern, you will play a hands-on role in developing and enhancing AI-driven solutions that address real business challenges. You will collaborate with experienced ML engineers and data scientists to build models, experiment with cutting-edge generative AI techniques, and contribute to intelligent product features. This internship offers an opportunity to deepen your technical skills while working on impactful, production-focused AI initiatives. This is a 6-month internship that requires working from our Bangalore office.
Key Responsibilities
Required Skills
Preferred Qualifications
About the Role
As a Machine Learning & Generative AI Intern, you will play a hands-on role in developing and enhancing AI-driven solutions that address real business challenges. You will collaborate with experienced ML engineers and data scientists to build models, experiment with cutting-edge generative AI techniques, and contribute to intelligent product features. This internship offers an opportunity to deepen your technical skills while working on impactful, production-focused AI initiatives. This is a 6-month internship that requires working from our Bangalore office.
Key Responsibilities
- Assist in developing machine learning and AI-based solutions
- Work on generative AI use cases such as text analysis, summarization, or chatbot-style applications
- Help clean, prepare, and analyze datasets
- Support model testing, evaluation, and performance improvement
- Contribute to experiments and proof-of-concepts of Ideas
- Communicate findings clearly with both technical and business team
Required Skills
- Understanding of core machine learning concepts
- Strong Python & ML/AI model development skills
- Knowledge of SQL and data analysis
- Introduction agentic workflows, prompt engineering, retrieval-augmented generation (RAG), and building AI agents using LLM frameworks
- Working knowledge of Git
- Strong problem-solving and analytical thinking
Preferred Qualifications
- Prior Internships or Academic/personal projects in ML or AI
- Experience with fine-tuning language models (LLMs) or custom model training is a strong plus
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