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.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
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open MLOps Engineer jobs
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Java-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs