Machine Learning Engineer, AWS Training and Development
3 days ago
We are seeking a highly skilled Machine Learning Engineer to join our AWS Training & Certification team. As a key member of our team, you will be responsible for designing, developing, and maintaining full-stack internet-scale web applications on AWS.
Key Responsibilities- Model Deployment
- Design and implement data pipelines to produce inputs for training and inference in both online and offline contexts.
- Develop and maintain training and inference pipelines, ensuring efficient and scalable model deployment.
- Implement post-inference work to serve business needs, including integration with engineering systems.
- Design, develop, and maintain full-stack internet-scale web applications on AWS, with a focus on RESTful APIs, infrastructure as code, and test automation.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation, and serving.
- Enhance observability and logging mechanisms to proactively identify and troubleshoot issues.
- Maintain dialogue state for offline training and model improvement.
- Contribute to building an infrastructure that facilitates end-to-end ML workflows.
As a Machine Learning Engineer on our team, you will have the opportunity to work on a wide range of projects, from designing and developing new machine learning models to implementing and deploying them in production. You will collaborate with cross-functional teams, including software development, product management, and UX design, to deliver high-quality products to our customers.
Requirements- 3+ years of non-internship professional software development experience.
- 2+ years of non-internship design or architecture experience, including design patterns, reliability, and scaling.
- Experience programming with at least one software programming language.
- 3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Bachelor's degree in computer science or equivalent.
Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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