Director, AI/ML Engineering

About this job

As the Director, AI/ML Engineering at StockX in Bangalore, you will lead a team of machine learning engineers and applied scientists shaping how millions of global buyers and sellers connect with culture through passions like sneakers, apparel, electronics, and collectibles. You will drive the AI/ML engineering strategy and roadmap, partnering with Product, Data Science, and business leaders to determine investments and measure impact. A normal day in this role involves guiding technical direction across search, recommendations, pricing, forecasting, fraud detection, and counterfeit detection. You will spend your time defining architecture and model decisions ranging from classical ML to generative AI, scaling MLOps platforms for reliable delivery, and leading performance and hiring planning. By aligning senior stakeholders on priorities, you turn technical advances into real marketplace impact.

Responsibilities

• Own the AI/ML engineering strategy and roadmap, connecting technical investments to customer needs.
• Build and develop a high-performing team of ML engineers and applied scientists.
• Lead delivery across search, recommendations, pricing, forecasting, fraud detection, and counterfeit detection.
• Set technical direction, guide architecture and model decisions, and choose approaches from classical ML to generative AI.
• Drive rigorous experimentation and A/B testing to measure impact and focus resources effectively.
• Scale ML platforms and MLOps practices to help teams ship quickly, reliably, and cost-effectively.
• Own hiring, performance, resource planning, and investment tradeoffs while aligning senior stakeholders.

Requirements

• 10+ years of relevant, hands-on experience in ML engineering or applied science.
• 7+ years of practical ML or data science experience, including computer vision, multi-modal learning, search, or recommendation systems.
• 5+ years of engineering leadership experience, including hiring, developing talent, and leading complex workstreams.
• Experience owning an AI/ML roadmap and delivering measurable customer or business outcomes through cross-functional partnerships.
• Strong technical judgment across model design, architecture, experimentation, and cloud infrastructure.
• Clear, compelling communication and the ability to influence senior leaders and turn ambiguity into action.

Good to have

• Experience managing managers or leading multiple ML engineering or applied science teams.
• Marketplace, e-commerce, or Supply Chain experience, particularly in search, recommendations, computer vision, or fraud and trust and safety.
• Advanced degree in Computer Science, Machine Learning, or a related field.
• Experience with AWS and shared ML platforms.

Who should apply

This role suits experienced engineering leaders with a deep background in machine learning engineering and applied science who want to drive marketplace impact at StockX. Ideal candidates will possess extensive leadership experience in scaling teams, owning AI/ML roadmaps, and executing technical strategy across complex domains like search, recommendations, and fraud detection. Freshers should not apply as this position explicitly requires over a decade of relevant experience and several years of leadership background.

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