Sr Machine Learning Engineer

US, VA, Virtual Location - Virginia

Full Time Senior-level / Expert Clearance required USD 150K - 200K logo

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Job summary
Are you a hands-on Engineer focused on Data and/or Machine Learning who can make a huge impact on a dynamic, fast moving business? Do you want to help Public Sector Customers deploy mission-critical data and ML solutions at scale? Are you detail-oriented and creative? Do you like to collaborate with others to achieve goals? Then this is the position for you.

AWS Professional Services is a unique consulting team. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. Here, you will get to work at an innovative company with talented teammates to directly enable public sector and non-profit customers – and have a lot of fun doing it! A successful candidate will be a person who enjoys diving deep into designing MLOps workflows, engineering modeling data pipelines, and building production-grade scalable Computer Vision inference capabilities. It will be a person who loves to learn and wants to help build real world solutions to leverage Machine Learning.

The AWS Professional Services Public Sector Data & ML team is primarily virtual, though there is an option to work on-site at any AWS Corporate office. Employees can live anywhere in the United States. This position involves up to 25% travel.

You will help design, build and operate Computer Vision capabilities using AWS services, leveraging best practices to run data pipelines and computer vision models on elastic, serverless and server-based cloud infrastructure. You will also help customers optimize their MLOps, from model re-training to model management to inference. You'll focus on operational excellence by implementing and integrating DevOps best practices, such as infrastructure as code, automated testing, and configuration management into cloud-native ML solutions.

This position requires that the candidate selected be a US Citizen and hold or be able to acquire an active security clearance.

Basic Qualifications

  • 4+ years of professional software development experience
  • 3+ years of programming experience with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
  • 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems

· 7+ years of professional software development experience
· 7+ years of programming experience with at least one modern language such as C++, C#, Java, or Python
· 5+ years of experience designing and deploying production-grade system architectures for Machine Learning
· Masters Degree in Computer Science, Engineering, or related STEM field, or equivalent experience
· Ability to acquire a US Security Clearance
· Experience deploying and maintaining Machine Learning models in production environments
· Experience with containerization technologies such as Docker
· Experience designing and building highly-available distributed systems, and operating processes that reduce manual efforts and increase overall efficiency
· Experience designing and implementing software DevOps practices, including code standards, source control management, testing and deployment
· Experience with DevOps practices and tools for continuous delivery, infrastructure as code, software deployment automation, and configuration management
· Experience leading technical requirements gathering and scoping conversations with both technical and non-technical customers

Preferred Qualifications

· AWS Certifications, for example AWS Solution Architect Associate/Professional, Developer Associate, ML Specialty, and/or DevOps Engineer
· A currently hold US SECRET or TS clearance
· Familiarity with AWS services such as EC2, Cloud Development Kit (CDK) and/or CloudFormation, SageMaker, and S3
· Experience deploying Computer Vision models (specifically Neural Networks) into production environments
· Familiarity with container orchestration technologies such as Kubernetes, preferable services such as AWS ECS and EKS
· Experience developing automation to solve problems at scale


The pay range for this position in Colorado is $150,000 - 200,000 (yr.); however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit

Tags: AWS Computer Vision Consulting Data pipelines Distributed Systems Docker EC2 ECS Engineering Kubernetes Machine Learning ML MLOps Python Ruby SageMaker Security Testing

Perks/benefits: Career development Signing bonus

Regions: Remote/Anywhere North America
Country: United States
Job stats:  6  1  0
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