Computer Vision Engineer

Evans & Chambers Technology is seeking a highly motivated Computer Vision Engineer to join our team!

Evans & Chambers partners with the US national defense community to create fully integrated, resilient, and innovative digital solutions that enable them to make smart decisions in real-time. We work with our customers on everything from conquering their data to improving and safeguarding IT infrastructure. Our ultimate goal? To enhance our nation's ability to identify, address, and act – no matter what challenges arise.

Clearance: Secret preferred (US citizen required)

Location: Remote with travel

Responsibilities:
- Build algorithmic techniques for extracting digital and updatable drawings 2D mechanical drawings with mechanisms for updating the drawings with changes from technical variance data, designed to enable Customer to be able to confirm the viability of ML for Customer’s use case.
- Develop Customer’s initial computer vision model based on Customer stated requirements, historical data, and knowledge gathered during discovery utilizing Amazon SageMaker and other mutually agreed upon AI/ML Services.
- Develop Customer metrics, involving collaboration with Customer subject matter experts, designed to enable Customer to be able to measure success models developed.
- Identify and confirm Customer’s initial datasets required for developing the computer vision model, including PDF drawings and variance data and potentially incorporating computer-aided design (CAD) files as available.
- Develop a non-production environment designed to enable ML and R&D for mechanical drawing parametric digitization in AWS GovCloud using Services such as Amazon SageMaker and Amazon Simple Storage Service (Amazon S3)

Preferred Experience:
- Experience applying and adapting ML techniques to unique domains and “unusual” imagery data types.
- Experience leveraging and augmenting large code base and computer vision/machine libraries/toolkits to deliver new solutions.
- Familiarity developing and deploying solutions on AWS experience with AWS ML services such as SageMaker is considered a plus.
- Experience with infrastructure-as-code (IaC) tooling such as AWS CloudFormation and/or AWS Cloud Development Kit (CDK).

Required Experience:
- A Doctorate Degree in Statistics, Applied Math, Operations Research, Economics, or a related quantitative field with 2+ years professional experience,
- or a MS degree and 4+ years of professional experience,
- or a BS degree with 8+ years of experience. 6+ years professional experience with scientific programming languages like Python or R.
- 6+ years of professional experience in data science.
- 4+ years of industry or post-doctorate or academic applied research experience in one or more areas in, Computer Vision, Deep Learning, Sensing systems or related fields. Coding skills in one or more programming languages such as Python, Scala, Java, C, C++



All employment opportunities are made without regard to age, race, creed, color, religion, sex national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status or any other basis protected by law.