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Machine Learning Engineer MLOps/MLaaS, ICC AI Center of Excellence
3 months ago
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.
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.
- 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. If you would like to request an accommodation, please notify your Recruiter.
The base salary for this position ranges from $114,800/year up to $191,800/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. 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.
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