Product Manager Intern

Pune/ Bengaluru
Product – Product Management /
Internship /
Hybrid
Job Snapshot

We are seeking a talented and proactive AI Product Manager Intern to join our innovative team. This role offers an exciting opportunity to contribute to the development and enhancement of AI-powered features within our platform, with a focus on Large Language Models (LLMs) and Generative AI. 
You'll play a crucial role in shaping the future of our AI products by working on prompt engineering, feature experimentation, and building robust evaluation frameworks.

What’s in it for you?

    • Improve AI Features via Experimentation: Collaborate with engineering and product teams to design and execute experiments aimed at enhancing AI feature performance, analyzing results, and iterating on solutions.
    • Testing and Validating AI Features: Rigorously test and validate AI features against customer requirements and internal benchmarks, identifying and addressing any issues or areas for improvement.
    • AI Prompt Engineering: Design, develop, and refine prompts for LLMs to optimize performance and achieve desired outcomes for AI features.
    • Write Evaluation Tests in AI Test Suites: Develop and implement comprehensive evaluation tests and metrics within AI test suites to ensure the quality, accuracy, and reliability of AI models and features.
    • Create Internal AI Tools in Hugging Face: Build and maintain internal tools and utilities using the Hugging Face ecosystem to streamline AI development, testing, and deployment processes.

We’d love to hear from you, if you:

    • Technical Skills:
    • Currently enrolled in a Computer Science degree program or equivalent from a premier institution
    • Familiarity with Large Language Models (LLMs) and Generative AI concepts and applications.
    • Understanding of Prompt Engineering principles and techniques.
    • Knowledge of AI Evaluation Technologies and methodologies.

    • Soft Skills:
    • A high sense of ownership and accountability for your work.
    • Excellent collaboration skills and the ability to work effectively within a cross-functional team.
    • A proactive approach to identifying problems and proposing solutions.