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Amazon Software Development Engineer WFI Field Data 
United Kingdom, England, London 
204105891

05.08.2024
DESCRIPTION

Key job responsibilities
As a Machine Learning Engineer, you will work closely with science teams to bring research to production. This is a role that combines engineering knowledge, technical strength, and product focus. It will be your job to implement novel ML systems, product integrations, and performance optimizations. You will guide the direction of a MLOPS automation framework via collaboration with the engineering and research communities.
You will collaborate with software engineering teams to integrate successful experimental results into complex Amazon production systems and you will provide support for business continuity on a rotating on call.
A day in the life
Almost everyday offers new challenges and opportunities for growth. Where one day will offer implementation of Self-Service MLOps 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 QUALIFICATIONS

- 3+ years of non-internship professional software development experience
- 3+ years experience and knowledge in MLOps, in deploying, operationalizing, and maintaining scalable AI/ML-solutions in production
- 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


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 and statistics.