Only 24h Left: Masterclass Content Creator

1 day ago

Hyderabad India NxtWave Full time

Job Description Job Description: At NxtWave, as a TCD, you will be heading your technical pod and will be responsible for creating and refining industry-relevant content for students. This role involves developing engaging content and materials that enhance learning experiences, ensuring industry relevance, and driving continuous improvement by coordinating with the speakers and ensuring the session content is completely delivered. You'll collaborate with teams internally and SMEs(Subject Matter Experts) externally to manage technical content tracks, analyse industry trends, and deliver high-quality outcomes that improve learners skills and employability. Skills Required - Comfortable working with deep tech topics like AI/ML, Generative AI, RAG, LLM agents, model serving, and vector search. - Able to quickly understand complex technologies and explain them clearly through structured educational content. - Experience with tools and frameworks such as Hugging Face Transformers, LangChain, LlamaIndex, Gradio, and vector databases. - Understanding of how to build or explain systems like RAG pipelines, browser agents, and LLM-powered tools and interfaces. - Comfortable working with APIs, SQL/NoSQL databases, and cloud-based or serverless infrastructures. - Strong technical writing and instructional design skillsable to create masterclass scripts, lab walkthroughs, diagrams, and structured lesson flows. - Works closely with expert speakers to co-develop contentstructuring narratives, writing scripts, designing diagrams and flows, and ensuring sessions follow a clear, instructional path. - Curious, flexible, and eager to explore any deep tech areafrom Graph Neural Networks to edge AI and multimodal systems. Responsibilities - Collaborate with expert speakers from top AI companies to co-create high-impact masterclasses on topics like RAG, agent workflows, model optimisation, and scalable LLM deployments. - Translate technical inputs into clear, structured session scriptsincluding learning goals, system overviews, narrative flow, and speaker cues. - Design hands-on labs, walkthroughs, and demo narratives using real-world tools (e.g., Ray Serve, LangChain, FastAPI, Gradio). - Ensure technical accuracy, instructional pacing, and coherence across multi-part sessions by reviewing and iterating with SMEs. - Lead or mentor associate content developers working on visuals, labs, or transcription, ensuring timely and high-quality content delivery. - Align every session with NIAT's learning frameworkhook, core concepts, problems, architecture, walkthrough, advanced cases, and wrap-up. - Continuously update content to reflect new tools, releases, or practices in GenAI, deployment infrastructure, or agentic systems. - Collaborate with design, editing, and product teams to shape visual direction and improve the overall learner experience. - Track progress of content development against timelines and provide regular updates to producers or program leads.

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