• Highly technical and analytical, possessing 7+ years of Machine Learning and/or Analytics Systems development and deployment experience, IT systems and engineering experience, security and compliance experience, etc
• BS level technical degree required; Computer Science or Mathematics background preferred
• Possess significant experience of software development and/or IT and implementation/consulting experience
• Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organisations and virtual teams
• Ability to understand complex business requirements and render them as prototype systems with quick turnaround time
• Experience with implementation and tuning in the Big Data Ecosystem, (such as EMR, Hadoop, Spark, R, Presto, Hive), ML Platforms (SageMaker, Kubeflow, Azure Machine Learning, SAS, Domino), and MLOps (model development, orchestration and deployment, monitoring, optimisation)
• Track record of implementing AWS services in a variety of business environments such as large enterprises and start-ups
• Knowledge of foundation infrastructure requirements such as Networking, Storage, and Hardware Optimisation
• AWS Certification, eg. AWS Solutions Architect, Developer, or AWS Certified Machine Learning - Specialty

Desirable

• GOX team is looking for a Senior Applied Scientist to support our vision of giving our customers the best fulfillment experience in the world, and our mission of delighting our customers by providing capabilities, tools and mechanisms to fulfillment operations
• As Skynet Sr APSCI, you would be providing resources and expertise for all data related reports (dashboard, scorecards…), analysis (statistical approach), and Machine Learning products and tools development
• On top of your internal customers within GOX team you would be supporting more widely with your experience and skills all across the org, partnering with a wide range of departments within Ops Integration (Packaging, Sustainability) within the company mainly with ICQA, ATS, AMZL, GTS… on several projects
• You will be part of the community of Scientists within Amazon Operations including other AS, BIEs, SDEs, … split across the different departments
• You will be part of projects requiring your close collaboration and interactions with Operations that require you to have a good understanding of product flow and process all along the distribution chain
• The GOX team is now recognized for its expertise and excellence in creating tools that improve massively the customer experience
• Several of them now rolled out in other regions with some of these tools becoming worldwide standard
• Reporting to the GOX Senior Manager, you will be responsible for developing the data-driven decision process from historical data and ML based predictive analysis and maintaining accurate and reliable data infrastructure
• You will work across the entire business, and be exposed to a wide range of functions from Operations, Finance, Technology, and Change management
• The successful candidate will be able to work with minimal instruction and oversight, manage multiple tasks and support projects simultaneously
• Maintaining your relationships with the customers in operations and within the team, while owning deliverables end-to-end is expected
• Critical to the success of this role is your ability to work with big data, develop insightful analysis, communicate findings in a clear and compelling way and work effectively as part of the team, raising the bar and insisting on high standards.stomer requests
• Responsible for producing high-level and low-level designs, and providing advice and support for transition, transformation and delivery on a variety of initiatives such as cloud migrations, data centre moves, server-based computing and desktop transformation technologies such as VDI and application virtualisation
• The Technical Architect also applies functional knowledge and technical expertise to design systems that support customer needs
• GOX DEA team is the engine of Amazon Operational excellence at the heart of the fulfillment network operations, aspiring zero defects. It is our purpose to improve Customer Experience through flawless fulfillment focused on 1) successful on-time delivery, 2) at speed and 3) at the lowest possible cost. Our Solutions support on-time delivery of billions of packages to our customers across the globe leveraging AI & Generative AI technology