Machine Learning Engineer

Pune, IN

Applications have closed

Pattern

Pattern is the world’s leading ecommerce accelerator. Our ecommerce solutions accelerate brands on marketplaces, D2C, and other digital channels.

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re you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies in the US to the top of the list.

Pattern is the premier partner for global e-commerce acceleration and is headquartered in Utah's Silicon Slopes tech hub—with offices in Asia, Australia, Europe, the Middle East, and North America. Valued at $2 billion, Pattern has been named one of the fastest-growing tech companies in North America by Deloitte and one of the best-led companies in America by Inc. More than 100 global brands—like Nestle, Sylvania, Kong, Panasonic, Sorel, Skullcandy, and Popsockets—rely on Pattern's global e-commerce acceleration platform to scale their business around the world. We place employee experience at the center of our business model and have been recognized as one of America's Most Loved Workplaces®.

We're looking for a dynamic, people-oriented, highly analytical person to join our team in Pattern’s Pune office.

Description:

- Build and maintain large-scale ML infrastructure and pipelines in AWS Sagemaker.

- Optimize ML models in efficiency, time, and accuracy through improved infrastructure and model selection.

- Make recommendations for changes to data pipelines

Requirements:

- Best-in-class skills in Python

- Multiple years of experience managing machine learning projects using AWS Sagemaker infrastructure

- Experience in Docker

- Experience with version control and testing environments






* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AWS Data pipelines Docker E-commerce Machine Learning ML infrastructure ML models Pipelines Python SageMaker Testing

Region: Asia/Pacific
Country: India
Job stats:  15  6  0

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