Machine Learning Engineer, MLOps/MLaaS, Engine AI Center of Excellence
Description For Machine Learning Engineer, MLOps/MLaaS, Engine AI Center of Excellence
Join Amazon's AICE team as a Machine Learning Engineer, where you'll be at the forefront of building data-driven automation capabilities that support critical service operations in Retail and IT with global impact. Our team's work directly improves the operations and availability of consumer services, positively impacting millions of users annually.
As an ML Engineer, you'll work on implementing and operating end-to-end machine learning and data processing pipelines that integrate with production systems. You'll collaborate closely with applied scientists, data scientists, and partners to design and scale machine learning models and evaluation experiments. The role requires expertise in practical machine learning, including data preprocessing, analysis, modeling (neural networks, regression, estimators, probabilistic models), hyper-parameter tuning, and validation methods.
Your typical day might involve implementing experimentation tooling, maintaining code bases, solving technical challenges with partners, and supporting products in production. You'll be part of a powerful team of specialists bringing practical machine learning to its full potential, directly impacting millions of Amazon customers.
The ideal candidate should have strong software development engineering skills and experience in MLOps for large-scale production environments. You'll work in an inclusive environment that values diversity and innovation, with access to cutting-edge technologies and the opportunity to solve complex problems at scale.
This role offers significant growth opportunities, working with a diverse team of specialists who are passionate about pushing the boundaries of practical machine learning. Join us in building the future of automated service operations at Amazon.
Responsibilities For Machine Learning Engineer, MLOps/MLaaS, Engine AI Center of Excellence
- Design model experimentation in synergy with scientists
- Own the development and operationalization of solutions deployed in production
- Work across multiple teams to integrate solutions with partner products
- Help the team grow and cultivate best practices in software development, MLOps, and experimentation
- Implement and operate end-to-end machine learning and data processing pipelines
- Design computationally effective solutions for large scale production environments
Requirements For Machine Learning Engineer, MLOps/MLaaS, Engine AI Center of Excellence
- Bachelor's degree in computer science or equivalent
- Experience in professional software development
- Experience designing or architecting new and existing systems
- Experience programming with at least one software programming language
- Experience in Machine Learning Operations (MLOps)
- Experience in deploying, operationalizing, and maintaining scalable AI/ML-solutions in production
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