Job Description
Employer: Amazon Web Services, Inc.
Position: Professional Services III AMZ13646.13 (multiple positions available)
Location: New York, New York
Multiple Positions Available:
Leverage Big Data, AppDev, or DevOps experience and apply it to stateof-the-art technologies in Machine Learning and Artificial Intelligence.
Build software solutions.
Work closely with teams of Data Scientists and Data Engineers.
Collaborate with our Data Scientists to deliver ground-breaking solutions for customers.
Expose to modern Machine Learning best practices and delivering AWS solutions in this high-demand field.
Utilize familiarity with cloud solutions and DevOps.
Work with a team of data scientists to build end to end solutions.
Create reliable, scalable, and high-performance ML / Al solutions.
Utilize Machine Learning Experience: ML frameworks, ML algorithms (understanding of classification, regression, clustering, embedding, NLP, and computer vision)
Utilize Software Development Experience: scripting languages (Python, R), database languages (SQL, PL/SQL, PG-PUSQL), version control (GitHub, Bitbucket, AWS Code Commit, data structures, algorithms).
Utilize Architecture experience: data pipelines, distributed computing engines.
Support efforts in the Enterprise, loT, and start-up communities.
Domestic or international travel up to 50% to perform role responsibilities may be required
(40 hours / week, 8:00am-5:00pm, Salary Range $169,000/year to $228,600/year /year)
Amazon.com is an Equal Opportunity - Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
Numbers & Facts
| Location | New York, NY |
| Industry | Retail |
| Salary | $169,000–$228,600 Per Year |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
About Company
At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Skills
- Algorithmsunmatched
- Amazon Web Services (AWS)unmatched
- Best Practicesunmatched
- Cloud Computingunmatched
- Computer Visionunmatched
- Data Managementunmatched
- Data Scienceunmatched
- Data Structuresunmatched
- Database Programming Languagesunmatched
- DevOpsunmatched
- Distributed Computingunmatched
- GitHubunmatched
- Machine Learningunmatched
- Natural Language Processing (NLP)unmatched
- Oracle PL-SQLunmatched
- Professional Servicesunmatched
- Python Programming/Scripting Languageunmatched
- R Programming Languageunmatched
- SQL (Structured Query Language)unmatched
- Scripting (Scripting Languages)unmatched
- Software Developmentunmatched
- Source Code/Configuration Management (SCM)unmatched
- Startupunmatched
- Team Playerunmatched
- Willing to Travelunmatched
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