About the Internship
Selected intern's day-to-day responsibilities include:1. Research & Model Selection – Analyze, identify, and evaluate suitable Large Language Models (LLMs), Vision Models, or Multi-modal Models applicable to the company’s problem domain.
2. Data Preparation – Identify, collect, clean, label, and augment datasets required for model training and fine-tuning.
3. Model Training & Optimization – Train, fine-tune, and benchmark LLMs or vision models to improve performance, accuracy, and efficiency for specific use cases.
4. Integration & Deployment – Design and implement deployment strategies for trained models, enabling real-time or batch inference; explore continuous learning or live training pipelines.
5. Agentic Systems Design – Build and test autonomous AI agents capable of task planning, tool usage, and reasoning using frameworks such as LangChain, CrewAI, AutoGen, or OpenDevin.
6. Cloud & Infrastructure – Utilize Gen AI services on cloud platforms (AWS, Azure, GCP, etc.) for model deployment, orchestration, and scalability.
7. Experimentation & Evaluation – Conduct experiments with prompt engineering, RAG (Retrieval Augmented Generation), and vector databases to enhance contextual understanding.
8. Collaboration – Work closely with product and engineering teams to integrate Agentic AI capabilities into real-world applications.
9. Documentation & Reporting – Maintain detailed documentation of datasets, experiments, model configurations, and outcomes.
Number of Openings
1 openingsPerks of this Internship
Certificate Recommendation letter Flexible work hours Free snacks
Other Requirements
1. are available for full time (in-office) internship
2. have relevant skills and interests
3. can start the internship between 22nd Oct'25 and 26th Nov'25
4. are available for duration of 3 months
5. have already graduated or are currently in any year of study
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