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E-DISCOVERY LEAD (DATA FORENSICS) ENGINEER- AEROSPACE AND DEFENSE:

Posted 6 months ago

  • London, Greater London
  • Any
  • External
LEAD E-DISCOVERY (DATA FORENSICS) 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 technology 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 Scientific publications in the areas of information retrieval, statistical evaluation, machine learning, active learning, precision and recall, practical analysis. A good example of this is; (TAR)algorithm, technology Assisted review. The oversight requires you to built an provide world-class resources content, and knowledge based information through a HIGH TECH CORRIDOR to achieve recognition for offering highest quality content and solutions programs in conformity with Electronic Discovery (eDiscovery) guidelines, ISO 27001, and The DoD Information Network Risk Assessment Methodology (DoDIN-RAM). Based upon Information governance framework, which represents the structure that defines BULLISHIER organization’s eDiscovery software that supports the organization of ESI for analysis, review, redaction. An AI powered search analytics, discovery and revolutionary-platform collecting custodian’s data for review.
WHAT ARE WE LOOKING FOR:
Proven record expertise in development of a prompting framework system that set stage for a prompt context.
Executive experience in development of algorithmic research platform- e.g platforms likes Sherlock,(TAR)algorithm, technology Assisted review.
Academic level training in extract relevant texts search platforms or prompting frameworks.
A creative approach to handle more nuance instruction-
An engine that answer anything like “FLY” that allows us to input more data for questions and analyze forensic images, videos and audio files .
Plug-in for searching accessing content data
PHYSICAL DEMANDS: This position requires the ability to communicate and exchange information, utilize equipment necessary to perform the job, and move about the office.
ENVIRONMENT: This position will operate in the following areas of the organization regulatory engineering division”MULTIDOMAIN DEFENCE DOCK:
MULTIDOMAIN DEFENCE DOCK“ Standard engineering lab environment ”
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, SKILLS-SET AND KEY REQUIREMENTS:
PHD in Measurement information Retrieval EVALUATION.
Areas to cover: Scientific publications in the areas of information retrieval, statistical evaluation, machine learning
Excellent coding skills and techniques
Degree in computer science and digital forensics
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
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