ML Data Engineer

Job description

DESCRIPTION

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 Amazon ML Solutions 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 ML Data Engineer, 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.

We’re looking for top architects, system and software engineers capable of using ML and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

The primary responsibilities of this role are to:
· Design data architectures and data lakes
· Provide expertise in the development of ETL solutions on AWS
· Use ML tools, such as Amazon SageMaker Ground Truth (GT) to annotate data. Work with Professional Services on designing workflow and user interface for GT annotation.
· Collaborate with our data scientists to create scalable ML solutions for business problems
· Interact with customer 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 — provide hands-on data wrangling expertise
· 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%.

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.

This team will be comprised of Deep Learning Architects, Data Scientists and ML Data Engineers to create cutting edge solutions for clients across EMEA. We are currently recruiting for talented individuals in the following cities: London, Berlin, Luxembourg, and Paris. Discover more at https://www.amazon.jobs/en/teams/amazonai.

PREFERRED QUALIFICATIONS

· PhD degree in Computer Science, or related technical, math, or scientific field
· Working knowledge of deep learning, machine learning and statistics
· User interface experience with Javascript, HTML
· Experience in using Python, R or Matlab or other statistical/machine learning software
· Strong communication and data presentation skills
· Fluency with other European languages are a plus
· The motivation to achieve results in a fast-paced environment
· Strong attention to detail
· Comfortable working in a fast paced, highly collaborative, dynamic work environment
· Ability to think creatively and solve problems

Desired profile

BASIC QUALIFICATIONS

· Masters degree (or European advanced degree equivalent) in Computer Science, or related technical, math, or scientific field
· Several years of relevant experience in building large scale machine learning or deep learning models and/or systems in a production environment
· At least 1 year of experience with data engineering, ETL, and data wrangling
· Knowledge of ETL tools and databases (both SQL-based, NoSQL)
· Fluency in written and spoken English