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Machine Learning Engineer, AWS Training and Development
2 months ago
We are seeking a highly motivated and experienced Machine Learning Engineer to join our team at Amazon Web Services (AWS). As a key member of our team, you will be responsible for designing, developing, and maintaining full-stack internet-scale web applications on AWS, with a heavy focus on RESTful APIs, infrastructure as code, and test automation.
Key Responsibilities- Design and develop scalable, efficient, automated processes for large-scale data analysis, machine learning model development, model validation, and serving.
- Establish and maintain full-stack internet-scale web applications on AWS, with a focus on RESTful APIs, infrastructure as code, and test automation.
- Contribute to building an infrastructure that facilitates end-to-end machine learning workflows.
- Enhance observability and logging mechanisms to proactively identify and troubleshoot issues, and maintain dialogue state for offline training and model improvement.
Our team is focused on inventing and building solutions that will improve lives through learning. We are a collaborative and dynamic team that values diversity, inclusion, and innovation. As a member of our team, you will have the opportunity to work on cutting-edge projects, collaborate with peers, UX-designers, and product managers, and contribute to building a world-class infrastructure for machine learning.
What We Offer- A competitive salary and benefits package.
- Opportunities for career growth and professional development.
- A dynamic and inclusive work environment.
- Access to cutting-edge technology and tools.
- 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.
