AI Engineer — Myntra Style

About this CV Engineer role at Myntra

Myntra, India's leading fashion e-commerce platform, is looking for an AI Engineer specializing in computer vision to build visual search and styling recommendation systems. This is a mid-level permanent role in Bengaluru for engineers with 3+ years of CV and recommendation systems experience. If you're passionate about applying AI to fashion tech, this is a direct path into one of India's top tech companies.

What you'll do

• Build and optimize computer vision models for visual search—enabling users to find fashion items using images instead of text
• Develop recommendation systems that suggest styles and products tailored to user preferences and browsing history
• Work with Python and PyTorch to train, fine-tune, and deploy deep learning models at scale
• Collaborate with product and design teams to understand fashion domain requirements and translate them into ML solutions
• Optimize model inference for real-time performance in Myntra's mobile and web applications

Who should apply

You need 3+ years of hands-on experience in computer vision or recommendation systems. This is a mid-level AI Engineer role, not for freshers—the company expects you to hit the ground running with strong Python and PyTorch fundamentals. A background or genuine interest in fashion or e-commerce is a plus, but your core strength must be in building production CV systems.

Salary & offer in context

Myntra offers ₹25–50 LPA (₹2,08,333–₹4,16,667 per month) for this role. For a mid-level CV Engineer in India's AI space, this sits solidly in the competitive range—especially at a tier-1 tech company. AI engineer salaries in India vary widely by location and company tier; Bengaluru-based MNC roles typically offer more than early-stage startups.

Path to apply

This is a direct online application through Myntra's careers portal—no exam, no multi-round screening filter. Submit your CV and GitHub portfolio if you have one. The application deadline is June 4, 2026, so apply soon. Candidates are encouraged to highlight portfolio projects demonstrating computer vision or recommendation system work.