Sr. Deep Learning Architect ML Solutions Lab
Detail de l'annonce :
* Bachelor of Science degree in Computer Science, or related
technical, math, or scientific field (or equivalent experience)
* Several years of relevant experience in building large scale
enterprise IT systems in a production environment, at least 1 year in
public cloud computing (like AWS, or other large scale cloud provider)
* Experience coding in Python, R, Matlab, Java or other modern
programming language
* At least 1 year of experience hosting and deploying ML solutions
(e.g., for training, tuning, and inferences)
* Experience hiring or mentoring more junior colleagues
* Fluency in written and spoken French and English
Job summary
Machine Learning (ML) has been strategic to Amazon from the early
years. We are pioneers in areas such as recommendation engines,
product search, eCommerce fraud detection, and large-scale
optimization of fulfillment center operations.
The ML team within AWS provides opportunities to innovate in a
fast-paced organization that contributes to game-changing projects and
technologies that get deployed on devices and the cloud.
As a Sr. Deep Learning Architect, you'll partner with technology and
business teams to build new services that surprise and delight our
customers. You will be working with terabytes of text, images, and
other types of data to solve real-world problems.
You will help build well-architected solutions with AWS, and
particularly with AI/ML Services, to help customers solve their
critical business cases, such as autonomous driving, supply chain
optimization, predictive maintenance, fraud detection and more. You
will support our customers on their ML journey by helping to develop
Proof of Concepts, and at the same time helping them understand the
technology behind the scientific choices you make..
We’re looking for capable Solutions Architects and system/software
engineers capable of using ML and other techniques to design,
evangelize, and implement state-of-the-art solutions for
never-before-solved problems.
Key job responsibilities
* Use ML tools, such as Amazon SageMaker and Amazon Simple Storage
Service, to provide a scalable cloud environment for our customers to
label data, build, train, tune and deploy their models
* Collaborate with our Data Scientists to create and develop
scalable ML solutions for business problems
* Interact with customers directly to understand the business
problem, help and aid them in implementation of their ML ecosystem
* Analyze and extract relevant information from large amounts of
historical data to help automate and optimize key processes
* Work closely with account team, research scientist teams and
product engineering teams to drive model implementations and new
algorithms
* This position requires travel of up to 40%.
A day in the life
We at AWS value individual expression, respect different opinions, and
work together to create a culture where each of us is able to
contribute fully. Our unique backgrounds and perspectives strengthen
our ability to achieve Amazon's mission of being Earth's most
customer-centric company.
About the team
This team will be comprised of Deep Learning Architects and Data
Scientists to create cutting edge solutions for clients across EMEA.
We are currently recruiting for talented individuals in Paris.
Discover more at https://www.amazon.jobs/en/teams/amazonai.
* Masters or PhD degree in Computer Science, or related technical,
math, or scientific field
* Working knowledge of deep learning, machine learning and
statistics
* Hands on experience building models with deep learning frameworks
like MXNet, Tensorflow, Caffe, Torch, Theano or similar.
* Hands on experience with deep learning (e.g., CNN, RNN, LSTM)
* Fluency with other European languages are a plus
* Experience with statistical modelling / machine learning
Amazon is an equal opportunities employer. We believe passionately
that employing a diverse workforce is central to our success. We make
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