Job Overview:
At NB Media, we don’t just create content—we’re building the future of YouTube. As an AI Engineer, you’ll join us in disrupting how content is produced, proofread, and edited by developing in-house AI tools that supercharge our workflow and reduce human dependencies.
If you’re obsessed with building real-world AI models, love experimenting, and want to work where media meets machine learning—this is for you.
Role & Responsibilities:
- Build & deploy AI models that automate and improve existing content workflows
- Design agents for script proofreading, interrogation video analysis, and AI-assisted video editing
- Collaborate with editors, writers, and video producers to understand bottlenecks and solve them with smart tools
- Continuously explore new tools and models to integrate into our media production pipeline
Technical Knowledge:
- Python
- Hugging Face / Transformers
- Google Cloud
- n8n (for automations)
- OpenCV / LangChain / Vector DBs (Bonus)
What We are looking for:
- Passionate about AI/ML with hands-on experimentation (college projects, side hustles, or personal models)
- Quick learner who can build and iterate fast
- Comfortable working with non-tech teams and understanding their pain points
- Open-minded, chill, and ready to vibe with a GenZ work culture
Eligibility
- Open to freshers from Chitkara University or equivalent
- No degree requirements—skills and curiosity matter more
- Bonus: Experience in media, YouTube, or generative AI projects
Pay: ₹30,000.00 - ₹40,000.00 per month
Application Question(s):
- Briefly describe an AI/ML project you have built independently. What problem did it solve and what technologies did you use?
- Have you built and deployed any AI application, chatbot, automation, or agent?
- If given a task to automate script proofreading using AI, how would you approach it?
- Share links to your GitHub, Kaggle, Portfolio, or any AI projects you have worked on.
- Why do you want to work at the intersection of AI and media/content creation?
- List the AI technologies, frameworks, and tools you have hands-on experience with.
Work Location: In person
