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Machine Learning Engineer, AWS Training and Development
2 months ago
At Amazon, we're shaping the future of learning with our AWS Training & Certification team. We empower millions of individuals and companies worldwide to develop and expand their professional skills using AWS products and services in the cloud.
This role offers a unique opportunity to leverage Generative AI and build the next generation of learning experiences for our customers. As a Machine Learning Engineer, you'll focus on Model Deployment, including tasks necessary to turn prototypes into production models.
Key Responsibilities- Design and develop data pipelines to produce inputs for training and inference in both online and offline contexts.
- Orchestrate model training and inference jobs, ensuring efficient and scalable processes.
- Work on post-inference tasks, integrating model output with engineering systems.
- Develop and maintain full-stack internet-scale web applications on AWS, emphasizing RESTful APIs, infrastructure as code, and test automation.
- Establish automated processes for large-scale data analysis, machine-learning model development, and model validation and serving.
- Enhance observability and logging mechanisms to identify and troubleshoot issues.
As a Software Development Engineer, you'll collaborate with peers, UX-Designers, and Product Managers to build delightful experiences for our customers. You'll create new cloud-native services and capabilities to meet emerging needs, operating existing systems at AWS scale to ensure high-security standards, operational excellence, and scalability.
This position involves on-call responsibilities, typically for one week every two months. We work to ensure our systems are fault-tolerant, and when issues arise, we resolve the root cause to prevent repeated incidents.
Requirements- 3+ years of non-internship professional software development experience.
- 2+ years of non-internship design or architecture experience.
- Experience programming with at least one software programming language.
- 3+ years of full software development life cycle experience.
- Bachelor's degree in computer science or equivalent.
Amazon is committed to a diverse and inclusive workplace. We're an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
