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 revolutionise a $3 trillion dollar industry. We spearhead an industrial-leading Blackbox to facilitate and administer trade agreements pioneered by a vehicle, driven by our new generation benchmark delivering solutions through innovation with uncompromising agility. Predicts trends in the aerospace and  government defense entities, predicts trends in political shifts and the ability to influence actual effect changes in government policies through innovation.

JOB DESCRIPTION:

A team of three, The oversight is permitted by THE MISSION INTELLIGENCE DIVISION to provide leading effort for a COMPUTER VISION TEAM-Enables delivering data quality to a unique model bias, to scale generative COMPUTER VISION models, to predict potential impacts of real-time events.- By Peering with traditional protocols, analysing PASSIVE AND ACTIVE REMOTE SENSING DATA AND TAKE ACTIONS THAT WILL PROVIDE DEEP INSIGHTS INTO GENERAL PRACTICES FOR DECISION MAKING-AND SHARE AN OVERVIEW OF THE LIMITATIONS (in conformity to the JOINT ALL-DOMAIN AND ELECTROMAGNETIC SPECTRUM OPERATIONS APPROACH, RADIO SPECTRUM APPROACH), The JADC2 (Joint All-Domain command and control) approach and the JADC2 architecture. A set of net-centric tenets associated with data. We are a startup enhancing the FORMATION TO THE EARLY STAGES OF A PRODUCT DEVELOPMENT PROJECT. 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, standardised processing pipelines , derived from passive remote sensing, infrared sensor’s data collection by developing a novel approach to assemble the data identifying key management zones, to feed into the neural network and the associated data structures to train the models. (With the neural network capability to translate active remote sensing data to what’s happening at a scale of generative insights).Areas to cover will include: A Benchmarks datasets Applications strategy for spurious correlations, infra-senses of Landsat, digital elevation, multi-spec aerial imagery precisely defined by neural network models, from The practices of Multi-spectral satellite and  Hyper-spectral satellite (a cutting edge covered practices).Remote sensing to identify and monitor the verification of a practice, to determine inputs into simulation of a prediction capabilities to make intelligent-science based predictions for characterisation of regenerative potentials.

ENVIRONMENT: This position will operate in the following areas of the organization “MISSION INTELLIGENCE DIVISION”

Employees must be legally authorized to work in the UK. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.

QUALIFICATIONS, KEY REQUIREMENTS AND SKILLSET:

• Extensive level 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 network to interpret and understand the imagery and identify this patterns. E.g A renewed commitment from Remote sensing of Earth observation, Image processing, segmentation, detection classification
• A relevant degree, preferably at the PhD level, in Remote Sensing/Computer Vision/Computer engineering, Computer science relevant field

INTERVIEW PROCESS:

• STAGE 1: COGNITIVE ABILITY TEST
• STAGE 2: COGNITIVE ASSESSMENT SCREENING: WITH A 30yrs+ EXPERIENCE PSYCHOLOGIST:
• STAGE 3: PRE-SCREENING ( verification checks & security clearance)
• STAGE 4: INTERVIEW WITH THE: CEO, CTO & GC