Technical Lead

About The Company Who are we? Myntra is India’s leading fashion and lifestyle platform, where technology meets creativity. As pioneers in fashion e-commerce, we’ve always believed in disrupting the ordinary.

We thrive on a shared passion for fashion, a drive to innovate to lead, and an environment that empowers each one of us to pave our own way. We’re bold in our thinking, agile in our execution, and collaborative in spirit.

Here, we create MAGIC by inspiring vibrant and joyous self-expression and expanding fashion possibilities for India, while staying true to what we believe in.

We believe in taking bold bets and changing the fashion landscape of India. We are a company that is constantly evolving into newer and better forms and we look for people who are ready to evolve with us.

From our humble beginnings as a customization company in 2007 to being technology and fashion pioneers today, Myntra is going places and we want you to take part in this journey with us.

Working at Myntra is challenging but fun - we are a young and dynamic team, firm believers in meritocracy, believe in equal opportunity, encourage intellectual curiosity and empower our teams with the right tools, space, and opportunities.

Technical Lead - Machine Learning Platform

About Team Myntra s Machine Learning Platform powers key business use cases such as personalization, product recommendations, and size recommendations driving enhanced customer experience and conversion.

As a Technical Lead, you will own the design and evolution of a scalable ML platform that enables teams to build, deploy, and operate machine learning systems reliably at scale. You will drive platform strategy, shape architecture, and deliver high-impact systems that support both real-time and batch ML workloads.

You will be building the foundational platform that enables machine learning across Myntra accelerating innovation, improving decision-making, and directly impacting millions of users.

Roles And Responsibilities

• Lead the design and delivery of scalable, low-latency ML platform services that power real-time and offline use cases.
• Build self-service platform capabilities that enable data scientists and engineers to develop, deploy, and monitor models independently.
• Own end-to-end ML lifecycle infrastructure including feature engineering, model training, inference, and observability.
• Drive architecture for real-time data pipelines and online inference systems with strong SLAs on latency and reliability. Define and enforce platform standards for performance, scalability, and cost efficiency (including GPU utilization).
• Partner with product and engineering teams to translate business problems into reusable platform capabilities.
• Mentor engineers and lead design reviews, raising the bar for system design and engineering excellence.
• Own the long-term technical vision and roadmap for the ML platform.

Qualifications & Experience

• 6-9 years of experience building large-scale distributed systems and ML platforms in production environments.
• Strong fundamentals in system design, distributed systems, and backend engineering.
• Experience building ML infrastructure across training and serving, including real-time inference systems.
• Hands-on experience with streaming and data processing systems (e.g., Kafka, Flink, Spark, or similar).
• Experience deploying and operating systems on Kubernetes, including autoscaling and resource management. Familiarity with modern ML ecosystems (e.g., TensorFlow, PyTorch) and production ML workflows.
• Experience with vector search, feature stores, or similar systems for ML applications is a plus. Proven ability to lead projects, mentor engineers, and drive technical decision-making.
• Strong problem-solving ability for complex ML infrastructure, backend scalability, and system reliability challenges; proven mentoring and technical leadership skills. www.myntra.com

Required Skills machine learning, kafka, distributed systems