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Machine Learning Engineer

2 months ago

Vancouver, Canada Amazon Full time
h3>Machine Learning Engineer MLOps/MLaaS, ICC AI Center of Excellence

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.
- 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.
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.

BASIC QUALIFICATIONS

- 2+ years of non-internship professional software development experience
- 1+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Bachelor's degree in computer science or equivalent
- 1+ years experience and knowledge in MLOps, in deploying, operationalizing, and maintaining scalable AI/ML-solutions in production.

PREFERRED QUALIFICATIONS

- 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Master's degree in computer science or equivalent
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.