Machine Learning Engineer MLOps/MLaaS, ICC AI Center of Excellence
Amazon.com
Our AI Center of Excellence builds data-driven automation capabilities to support core operations at global scale. We leverage off the sciences of data, information processing, machine learning, and generative AI to improve user experience, automation, service resilience, and operational efficiency. Our work expands AI-driven capabilities of our businesses in primarily Retail and IT with global impact.
Key job responsibilities
- You own the development and operationalization of solutions deployed in production.
- You work across multiple teams to integrate our solutions with products owned by our partners.
- You help design model experimentation processes and frameworks in synergy with our scientists.
- You help the team grow and cultivate best practices in software development, MLOps, and experimentation.
A day in the life
Almost everyday offers new challenges and opportunities for growth. Where one day will offer implementation of experimentation tooling, the next day may be focused on our operational excellence in maintaining our code base. Later in the week, you may sort technical challenges with our partners to help them enrich their products with our models. On some days or weeks, you may watch over our products and stand ready to intervene and provide support to partners consuming our models.
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
About the team
We work back to back to address the technical challenges of automation across a variety of products, software, and systems. Our scientists and machine learning engineers work in synergy to solve hard problems and enrich each other's skills. Together, we are a powerful team of specialists in EU and NA bringing the potential of practical ML and AI to the max with impact on millions of Amazon customers.
We are open to hiring candidates to work out of one of the following locations:
Vancouver, BC, CAN
Key job responsibilities
- You own the development and operationalization of solutions deployed in production.
- You work across multiple teams to integrate our solutions with products owned by our partners.
- You help design model experimentation processes and frameworks in synergy with our scientists.
- You help the team grow and cultivate best practices in software development, MLOps, and experimentation.
A day in the life
Almost everyday offers new challenges and opportunities for growth. Where one day will offer implementation of experimentation tooling, the next day may be focused on our operational excellence in maintaining our code base. Later in the week, you may sort technical challenges with our partners to help them enrich their products with our models. On some days or weeks, you may watch over our products and stand ready to intervene and provide support to partners consuming our models.
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
About the team
We work back to back to address the technical challenges of automation across a variety of products, software, and systems. Our scientists and machine learning engineers work in synergy to solve hard problems and enrich each other's skills. Together, we are a powerful team of specialists in EU and NA bringing the potential of practical ML and AI to the max with impact on millions of Amazon customers.
We are open to hiring candidates to work out of one of the following locations:
Vancouver, BC, CAN
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