Content Strategist
Great Learning
Description
Roles and Responsibilities Primary Focus (90% of role): ● Research & Innovation: Conduct in-depth research on emerging GenAI technologies, frameworks, and models (LLMs, diffusion models, multimodal AI, agentic systems, RAG architectures, etc.) and evaluate their applicability to business challenges. ● Solution Development & Prototyping: Design, develop, and deploy GenAI solutions and proof-of-concepts for various use cases across different product teams and business units using state-of-the-art tools and frameworks. ● Code Development: Write production-quality Python code for GenAI applications, including prompt engineering pipelines, fine-tuning workflows, API integrations, vector database implementations, and AI agent systems. ● Experimentation & Benchmarking: Design and execute experiments to evaluate model performance, conduct A/B testing of GenAI approaches, and establish best practices for implementation. ● Technical Documentation: Develop detailed technical documentation, architectural diagrams, implementation guides, and knowledge repositories for GenAI solutions. ● Stay Current: Continuously monitor the rapidly evolving GenAI landscape, experiment with new models and techniques, and bring insights from research papers and industry developments into practical applications.
Eligibility Criteria
- Seniority: Mid Level
- Languages: English
About Great Learning
Founded by Mohan Lakhamraju, Arjun Nair, and Hari Nair, Great Learning began its journey in 2013, teaching Data Science to a single batch of 28 passionate learners. To put this into perspective: Great Learning has firmly established itself as a global leader in the EdTech space for professional education and upskilling, recognized as the #1 EdTech Startup in 2020.
