Fashion Associate – AI Fashion Production
Location: Gurgaon
Experience: 2+ years
Function: Fashion / AI Production
About FlixStock
FlixStock is a global fashion technology company working at the intersection of fashion, artificial intelligence, and e-commerce.
We work with leading global fashion brands and retailers, including major European customers, to create high-quality product imagery using AI-powered production workflows.
For fashion professionals in India, this is a unique opportunity to work closely with international fashion teams and understand how global brands think about styling, product presentation, model aesthetics, quality, and e-commerce content at scale.
The Role
We are looking for Fashion Associates with 2+ years of professional experience and a robust understanding of styling, garment presentation, fit, proportion, and visual quality.
This is not a conventional styling role. You will work at the intersection of fashion and technology, helping translate fashion judgment into AI workflows, visual standards, and scalable production systems.




Who We Are Looking For
- 2+ years of relevant professional fashion experience
- Graduate from NIFT or another strong fashion/design institution preferred
- Experience in styling, fashion e-commerce, visual merchandising, editorial, fashion content, or related roles
- Robust eye for styling, fit, proportions, posing, and visual aesthetics
- Ability to clearly explain why an image works or does not work
- Strong attention to detail
- Comfortable working with structured processes and quality standards
- Curious about AI and how technology is changing the fashion industry
- Comfortable working in a fast-moving, high-volume environment

Why This Role Is Different
This role offers exposure that is very different from a traditional fashion job.
You will get the opportunity to work on projects for leading European fashion brands and retailers while learning how fashion expertise is being translated into AI systems.
You

📌 Associate (Gurugram)
🏢 FlixStock
📍 Gurugram