Amazon Data Scientist - Computer Vision WWPS ProServe 

United States, Texas, Arlington 

686937199

In this customer facing position, you will architect and implement innovative, AWS Cloud-native ML solutions, providing direct and immediate impact for your customers. You will take the lead in planning, designing, and running experiments, researching new algorithms, and will work closely with talented data scientists and engineers to put algorithms and models into practice to help solve our customers' most challenging problems. You will also guide teams in the development of new solutions and aid customers in adopting AWS ML capabilities.This position requires that the candidate selected be a US Citizen and have the ability to obtain a Public Trust clearance or higher.Key job responsibilities
As an experienced technology professional, you will be responsible for:- Work on TB scale datasets, creating scalable, robust and accurate computer vision systems in versatile application fields.
- Experience applying best practices from core Software Development activities to Machine Learning (deployability, unit testing, well structured extensible software, etc.)About the team
Diverse Experiences - AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 3+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment

- 3+ years of experience handling terabyte-scale datasets
- AWS Certifications, for example AWS Solution Architect Associate/Professional, ML Specialty, or Developer Associate
- Experience working with at least one of the following industry standard formats in an imagery domain: Satellite Imagery (NITF, GeoTIFF, SICD, etc.), Motion Imagery (commercial and USG FMV specs), or medical imagery (e.g. DICOM)
- Hands-on experience with state-of-the-art object detection approaches
- Experience managing multiple AWS and ML Environments through Infrastructure as code (Cloudformation, Cloud Development Kit, Terraform, Pulumi, etc.)
- Experience containerizing/deploying computer vision models, specifically neural networks, into production environments