REMOTE SENSING-(SATELLITE VISION ENGINEERING)- ENGINEERS: AEROSPACE AND DEFENSE

REMOTE SENSING-(SATELLITE VISION ENGINEERING)-COMPUTER VISION-ENGINEERS: AEROSPACE AND DEFENSE Bullisher is a data-centric fintech solution provider in the aerospace and defense industry for institutional level investors, looking to disrupt and revolutionize a $3 trillion dollar industry. We spearhead an industry-leading Blackbox to facilitate and administer trade agreements, driven by our new generation benchmark delivering solutions through innovation with uncompromising agility. JOB DESCRIPTION: A team of seven, the oversight is permitted by THE MISSION INTELLIGENCE DIVISION to provide leading effort for a COMPUTER VISION TEAM . This team enables delivering data quality to a unique model bias, scaling generative COMPUTER VISION models to predict potential impacts of real-time events. By peering with traditional protocols, analyzing PASSIVE AND ACTIVE REMOTE SENSING DATA , and taking actions that will provide deep insights into general practices for decision making, we share an overview of the limitations in conformity to the JOINT ALL-DOMAIN AND ELECTROMAGNETIC SPECTRUM OPERATIONS APPROACH. Areas to cover will include peering with traditional protocols, orbiting the Earth (two observations of a given spot of the earth every day), satellite imagery high calibration, standardized processing pipelines derived from passive remote sensing, and infrared sensor data collection. We aim to develop a novel approach to assemble the data identifying key management zones to feed into the neural network and associated data structures to train the models. ENVIRONMENT: This position will operate in the following areas of the organization: [ROCKET FUEL] MISSION INTELLIGENCE DIVISION . Innovation, powering speed and space exploration in science systems. QUALIFICATIONS, KEY REQUIREMENTS AND SKILLSET: Extensive experience in software and data engineering toolsets and best practices is essential. Proficient with Deep Learning libraries and algorithms: Tensorflow & PyTorch. Superior ability to build and execute Deep Learning neural networks to interpret and understand imagery and identify patterns. A relevant degree, preferably at the PhD level, in Remote Sensing, Computer Vision, Computer Engineering, Computer Science, or a relevant field. Offensive Security Certified Professional (OSCP), Certified Information Security Manager (CISM) are essential. Certified Authorization Professional (CAP) Certified Network Defender (CND) Information Systems Security Architecture Professional (ISSAP) It is prerequisite to be certified in one of the listed DoD 8570 Certifications. INTERVIEW PROCESS: STAGE 1: COGNITIVE ABILITY TEST STAGE 2: COGNITIVE ASSESSMENT SCREENING WITH A 30+ YEARS EXPERIENCE PSYCHOLOGIST STAGE 3: PRE-SCREENING (verification checks & DV security clearance) STAGE 4: INTERVIEW WITH THE CEO, CTO & GC #J-18808-Ljbffr