Data Scientist

CACI International•Crane, IN

13d•$62,200 - $127,300•Onsite

About The Position

CACI is seeking a Data Scientist to provide engineering and technical support to assist our government customer with the collection of Live Imagery Products for Standardization (CLIPS) within the Department of Navy Electro-Optic (EO) Science and Technology (S&T) community. Products will support algorithm development on Unmanned Surface Vehicles (USV) and other customers. You will demonstrate competent knowledge of Linux systems, computer vision and camera operations.

Requirements

Experience with modern database design and management.
Applied Artificial Intelligence/Machine Learning (AI/ML) for image processing.
Experience with computer hardware.
Experience with computer networking.
Excellent writing and communication skills pertaining to business planning and project development.
An advanced level of knowledge and experience with Linux environments, Computer Vision (CV) architectures, and camera video processing pipelines.
Experience working within a software development team.
Coding experience in any major programing language.
A basic understanding of Electro-Optic technical operational procedures and requirements.
Knowledge of the government communities that work in and with EO.
Advance computer programming language experience with C++/or Python.
Information assurance Technical (IAT) Level II Certification.
Minimum Certification requirements must be met prior to performance and maintained throughout the period of performance.
Required on-site presence at NSWC Crane.
Secret Security interim or full clearance.

Nice To Haves

Demonstrate competent knowledge of Linux systems, computer vision and camera operations.

Responsibilities

Provide annotated and labeled video from Naval Imagery Collection Services (NICS) collections, including descriptors of scene content, collection pedigree, and AI/CV-assisted target labeling of targets within the video.
Provide recommendations for improving the fidelity in the ontology, which may include incorporating other data sources such as AIS, ADS-B, etc.
Develop and deploy AI/ML and computer Vision workflow tools within Linux environments to support military motion imagery and analysis.
Define metadata requirements and schemas to support the complex labeling of military motion imagery and live video streams.
Develop metadata tools, automated scripts, and models to support streamlined imagery labeling and video processing pipelines.
Develop efficient, Linux-compatible processes and tools for large-scale dataset preparation and dissemination.
Develop and implement data models in various formats to support the growth of NICS toolsets and the richness of data captured during data collections; provide documentation, processes, and tools to perform this task.
Identify, troubleshoot, and perform NICS hardware and Linux-based software upgrades to support evolving video collection requirements.
Review documentation and community feedback to generate a holistic ontology that captures the variety of scene content, enabling applications based on visual cues from motion imagery.
Perform onsite data collection at scheduled test events using NICS camera and sensor hardware.
Attend local meetings and training in support of the effort.
Support LXN with engineering services as required.