Machine Learning Engineer (Bengaluru)

Machine Learning Engineer (Bengaluru)

02 Oct
|
STYLI
|
Bengaluru

02 Oct

STYLI

Bengaluru

Role: Machine Learning Engineer
Work location: Bangalore

About Styli
STYLI is an e-commerce marketplace founded in 2019 by Landmark Group, emerging as one of the largest fashion and beauty platforms in the GCC and India. With a strong focus on trendy, affordable fashion and beauty products, STYLI brings over 40,000 styles to men, women, kids, and beauty enthusiasts, offering them the latest global trends delivered directly to their doorsteps.

Our vision is to be the most aspirational value rapid fashion and lifestyle destination, delivering seamless service excellence. We aim to create personalized experiences, engaging customers across all touchpoints, and continually expanding our curated selection to meet their evolving needs. STYLI has quickly become a leading player in the e-commerce fashion space across the GCC - Saudi Arabia, UAE, Bahrain, Kuwait and in India.

Role overview
We are looking for a strong and pragmatic Machine Learning Engineer who enjoys turning machine-learning and AI solutions into reliable, scalable production systems.




You will work closely with Data Scientists, Software Engineers, Product Managers and business teams to productionize models, build reusable ML infrastructure and ensure that ML-powered capabilities perform reliably at scale. You should be comfortable operating across software engineering, ML systems and cloud infrastructure, and making practical trade-offs between speed, reliability, performance and cost.

Key responsibilities
• Design, build and maintain production-grade systems for deploying and serving machine-learning and AI models.
• Partner with Data Scientists and Applied Scientists to translate experimental models into robust batch or real-time production workflows.
• Build reusable ML pipelines and tooling for training, evaluation, deployment, monitoring and retraining.
• Develop reliable APIs, services and integration layers for ML-powered product and business capabilities.
• Implement CI/CD, testing, versioning and

📌 Machine Learning Engineer (Bengaluru)
🏢 STYLI
📍 Bengaluru

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