Machine Learning Engineer MLOps/MLaaS, ICC AI Center of Excellence

Machine Learning Engineer MLOps/MLaaS, ICC AI Center of ExcellenceOur 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 responsibilitiesYou 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 lifeAlmost 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.BASIC QUALIFICATIONS2+ years of non-internship professional software development experience1+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experienceExperience programming with at least one software programming languageBachelor's degree in computer science or equivalent1+ years experience and knowledge in MLOps, in deploying, operationalizing, and maintaining scalable AI/ML-solutions in production.PREFERRED QUALIFICATIONS2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experienceMaster's degree in computer science or equivalentExperience in machine learning, data mining, information retrieval, statistics or natural language processingAmazon 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.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. #J-18808-Ljbffr