As a Senior MLOps Engineer, you will collaborate with data science and engineering teams to manage ML pipelines, monitor models, and deploy solutions in the cloud.
Are 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 headquartered in the US to the top of the list.
Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 46 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern’s ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces—including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email [email protected].
Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek’s Global Most Loved Workplaces®.
Responsibilities:
- Teamwork: MLOps is a team sport, and we require a contributor who can elevate everyone in the MLOps organization. While technical skills are required, your communication and teamwork skills will deliver tangible value to our teams as well as elevate the team’s capacity.
- Collaboration: Directly work with data science, engineering, and machine learning teams around the world, including evening IST.
- Pipeline Management: Architect, implement, and maintain scalable ML pipelines, with seamless integration from data ingestion to production deployment.
- Model Monitoring: Lead the operationalization of machine learning models, ensuring hundreds of models are continuously monitored, retrained, and optimized in real-time environments
- Deployment: Deploy machine learning platform solutions in the cloud, securely and cost effectively.
- Reporting: Effectively communicate actionable insights across teams using both automatic (e.g., alerts) and non-automatic methods.
The type of game changing candidate we are looking for:
- Hungry: The position is for those who want to become an MLOps thought leader, mastering and incorporating the latest best practices into an ML platform?
- Transparent: Willingness to identify and admit errors and seek out opportunities to continually improve both in their own work and across the team.
- Clear Communicator: MLOps is a central node in a complex system. Clear, actionable, and concise communication, both written and verbal is a must.
- Solution-Oriented: We focus on consistently delivering the best solutions with a solutions-oriented positive attitude.
- Strong demonstration of technical expertise in Computer Science, Machine Learning, Data Science, or a related field
- 4+ years of direct and extensive experience with AWS
- 3+ years of experience building and managing MLOps platform tools
- Excited to empower DS with tools, practices, and training that simplify MLOps enough for Data Science to increasingly practice MLOps on their own and own products in production.
Top Skills
AWS
Data Science
Machine Learning
Mlops
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