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Senior ML Infrastructure Engineer - Mlops
Build and maintain scalable ML pipelines to enhance decision-making processes.
Senior
1 month ago
Quince
Our mission is simple: Create an item of equal or greater quality than the leading luxury brands and sell them at a much lower price
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✨ About The Role
- The Senior ML Infrastructure Engineer will design, build, and maintain ML pipelines, ensuring efficient data ingestion, model training, validation, deployment, and monitoring.
- The role involves implementing CI/CD processes to automate the testing, deployment, and monitoring of machine learning models in production environments.
- The engineer will be responsible for building and owning the production infrastructure necessary for serving ML models, ensuring high availability and scalability.
- Collaboration with data scientists, data engineers, and software engineers is crucial to align ML models with business goals.
- The position requires monitoring and optimizing model performance, addressing issues such as data drift and model degradation.
âš¡ Requirements
- The ideal candidate should have a bachelor's degree in computer science, engineering, or a related field.
- A minimum of 5 years of experience in ML Infrastructure or ML engineering is required.
- Candidates should possess hands-on expertise in building and maintaining ML pipelines and scalable ML production infrastructure.
- Strong knowledge of CI/CD practices for ML models is essential for success in this role.
- The candidate should be passionate about leveraging cutting-edge ML and AI solutions to revolutionize purchasing processes.
About Quince
Our mission is simple: Create an item of equal or greater quality than the leading luxury brands and sell them at a much lower price