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senior ai software surveillance-data engineer: aerospace and defense
3 months ago
SENIOR AI SOFTWARE SURVEILLANCE-DATA ENGINEER: 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:
This role may suit an individual who is a specialist in end to end unstructured data, real-time crowd intelligence, by storing it, managing it, protecting it, throughout its lifecycle. This role will place heavy emphasis on streamlining business operations and improving the technology that supports it.A good example of this is; The JADC2 (Joint All-Domain command and control) approach and the JADC2 architecture.Developing production AI-powered software surveillance solutions. Monitoring operations software-for monitoring and management of quantum infrastructure.
WHAT ARE WE LOOKING FOR:
- Extensive level experience in navigating around geographically foot traffic - (data intelligence).
- High level experience in designing control and soundboxing systems for AI research and Neural Architecture Search (AI-driven intelligences platform).
- Proficiency in Neural Architecture Search (NAS) and ML technique.
- Executive level experience in MLOps (Machine Learning Operations).
- Proven record in 3/4 programming languages e.g Python, C++ (massing Algorithms and heat-mapping algorithms).
- The ability to detect and address attacks on communication links in real-time.
- Experience with Python, JavaScript, SQL, communication protocols, GUI design and database management is a plus.
DUTIES AND RESPONSIBILITIES
- Data reporting in real-time per location.
- Developing state-of-the-art deep learning models for computer vision.
- Enable high speed collaboration across teams, sites and departments
- lead and orchestration software, Fastest surveillance performance to handle a high speed ingest requirements for a large files being generated by satellites, sensors and other devices
- Manage data across its lifecycle with automated data management protection policies
- Validate legacy/historical data from dashboard reporting.
- Streamline process deals from a proof of concept to a data-led cutting edge solution innovation
- Develop a crowd-tracking Data pipeline that impacts various points of interest.
- Create a unified storage pipeline/pool of data analytics.
- Create physical security infrastructure onto a single efficient, resilient network or platform
- Build a data surveillance storage and recording infrastructure. A good example of this; Dedicated servers, recording servers or access control.
- Collect a lot of data that needs to be written quickly andthen needs to be stored for various data surveillance and Al software projects.
- Create a mechanism approach that allows a quantum software deployment inter-capability as a unified and computational storage platform.
- Simplify the architecture infrastructure as a single platform that runs on off the-selves hardware.
- Develop a reference architecture employing multiple quantum resistance mechanisms
- Take the application as that are running on application on a dedicated analytics infrastructure
- Embed multiple layers of defence so that any failure or weakness in one layer does not compromise the entire system.
ENVIRONMENT: This position will operate in the following areas of the organization "MISSION INTELLIGENCE DIVISION"
QUALIFICATIONS,KEY REQUIREMENTS AND SKILL-SET:
- Generative AI and LLM integrations and transformations, Machine Learning Experience with Agile software development principles and methodologies
- Academic level knowledge in the JADC2 approach and the JADC2 architecture
- Deep expertise in quantum computing and quantum risk.
- Preferred PHD in AI ( artificial intelligences).
- Masters in computer science/Information/Cybersecurity/ Data engineering in similar discipline
