Machine Learning Subject Matter Expert - Bethesda, United States - Tenica Global Solutions

Description

Machine Learning Subject Matter ExpertTENICA is hiring a Machine Learning SME

Job Location:
Bethesda, MDSecurity clearance is preferred.
Candidate must have subject matter expertise in computer vision and machine/deep learning.
Bachelors' degree in physics, mathematics, computer science, or relevant engineering fields (e.g.

electrical, computer, systems, software) with eight plus (8+) years of work experience, or Masters' degree with four plus (4+) years of work experience, or PhD with two plus (2+) years of work experience.

PhD is desirable, but not absolutely required if work experience provides depth and breadth of technical understanding and evidence of problem-solving capability equivalent to what would be expected for a PhD.Five (5) years of experience in computer vision R&DTwo (2) years of experience with R&D of machine learning and deep learning algorithmsOne (l) year of experience managing a multi-disciplinary research and development (R&D) or Test and Evaluation (T&E) teamTwo (2) years of experience creating program plans, work breakdown structures, and milestone schedulesExcellent writing and editing skills.

Ability to develop succinct, comprehensive, understandable documents using complex data from multiple sources.
Excellent slide development and PowerPoint skills. Ability to visually communicate complex ideas at a high level for technically savvy, but non-expert audiences.
Strong organizational, problem solving, and time management skills. Must be detail oriented.
Ability to proactively manage multiple, concurrent tasksExperience in the Intelligence Community (IC) or Department of Defense (DOD), including experience with requirements, CONOPS and research technology transitionDesired ExpertiseThe following are relevant and strongly desired qualifications for the technical


SETA:

Experience with architectures to support large spatiotemporal data management and processingExperience with the institutional review board (IRB) process for human subjects' research and IRB approved video collectionExperience with development in the Open Media Processing Framework (OpenMPF)Experience with deployment of computer vision analytics in a large-scale frameworkExperience managing/performing large-scale video collection, curation and annotationExperience with video collection from fixed security/surveillance, airborne , UAV), and ground mobile (e.g.

cell phone, auto mounted, etc.) video sensorsExperience with image or video frame geo-localizationComputer vision experience in video-based reidentification or reidentification component technologies including object detection, tracking and whole body identificationTENICA is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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