Sr. Applied Scientist
il y a 2 semaines
Highly technical and analytical, possessing seven or more years of Machine Learning and/or Analytics Systems development and deployment experience, IT systems and engineering experience, security and compliance experience, etc.
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.
Experience 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).
Knowledge of foundation infrastructure requirements such as Networking, Storage, and Hardware Optimisation.
BS level technical degree required; Computer Science or Mathematics background preferred. [DB1]
AWS Certification, eg. AWS Solutions Architect, Developer, or AWS Certified Machine Learning - Specialty
Do you love building software and thinking big about how data and AI can change the world? Are you a data and analytics specialist? Do you have deep expertise in developing platforms optimized for analytics and machine learning solutions at scale? Would you like a career that gives you opportunities to use cloud computing services to build new ML solutions, faster, and at lower cost?
At GOX DEA, we're hiring a highly technical ML platform solution architect and engineer to collaborate across our value stream on building solutions in database, data management, and analytics/machine learning.
Every day, you'll be working with AWS Services to determine the optimal implementation, build it, prove it works, extract documents and CloudFormation templates to speed project delivery.
If you are builder, and love data, then this could be your ideal jobUp to 25% travel may be required
Key job responsibilities
GOX DEA team is looking for a Senior Applied Scientist (AS) who joins us in our quest to give our customers the best fulfillment experience in the world.
It is our mission to delight our customers by providing capabilities, tools and mechanisms to fulfillment operations.As GOX DEA Senior AS, you will be providing resources and expertise for our analysis (statistical approach), Machine Learning and LLM products as well as tool development including frontend development.
On top of your internal customers, you will leverage your experience and skills on projects requiring partnership across the org, with a wide range of departments within the company, mainly Amazon Transportation Services (ATS-Sortcenter, -Linehaul), Amazon Logistics, Global transportation services (GTS) and AWS SA Manufacturing.
You will be in close collaboration and interactions with Operations, thus you will need to gain in-depth understanding of product flow and process, all along the distribution chain.
The GOX DEA team is recognized for their expertise and excellence in creating solutions which improve massively the customer experience.
The team's developments are rolled out always across multiple regions simultaneously with some becoming worldwide standard.You will work across the entire business, and be exposed to a wide range of functions from Operations, Finance, Technology, and Change management.
About the teamGOX 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.
Luxembourg, LUXHands on experience leading large-scale big data and analytics projects.
Hands on experience as a database, data warehouse, big data/analytics developer or administrator, or work as a data scientist.
Hands on experience architecting, deploying and maintaining production machine learning systems.
Demonstrated industry leadership in the fields of Big Data processing, Data Sciences and Machine Learning.
Experience with Statistics, Machine Learning and Predictive Modelling.
Working knowledge of modern software development practices and technologies such as agile methodologies and DevOps/MLOps.
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