Evans & Chambers Technology · 5 hours ago
Staff Consultant
United States
Full-time
Remote
Senior Level, Lead/Staff
8+ years exp
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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)
Qualification
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Required
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++.
Preferred
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).
Company
Evans & Chambers Technology
Evans & Chambers Technology develops and consults on agile technology solutions that empower businesses and government agencies to collaborate, securely share information, and solve problems.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Jamil Evans
Co-Founder, President, and CTO
Company data provided by crunchbase
