SENIOR SOFTWARE ENGINEER - AEROSPACE AND DEFENSE:

Ensure you read the information regarding this opportunity thoroughly before making an application.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 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. We predict trends in the aerospace and government defense entities and aim to influence actual changes in government policies through innovation.

JOB DESCRIPTION:

As a newly created role for a team of four, you will integrate large-scale data preprocessing with machine learning, transparent integration, and the use of data structures and algorithms, enabling training models leveraging a distributed in-memory machine learning platform. Areas to cover will include analytics engines for large-scale data processing. You will demonstrate model training together with hyper-parameter tuning (Random Grid-Search with time constraint) of various algorithms using AutoML-training meta model combining different algorithms. You will demonstrate target encoding by using Bullisher API documentation, the dashboard, analytics, configuration, and application health. We are a startup enhancing the formation to early stages of a product development project. The oversight requires you to deploy trained models into production, expedite a branch deployment, and design, deploy, and operate a full-stack system. Areas to improve will include replacing existing workflows with advanced machine learning algorithms, including NLP and ensemble methods using powerful data munging, ML pipelines with advanced algorithms fully deployed for speed and accuracy with graphical user interface (GUI). You will also participate in software development meetings with the CEO, CTO, CIO, V.P of Data Processing and Governance, and V.P of Software Engineering and Advanced Analytics to determine technical requirements and will undergo a formal approval, review, and voting by representatives for security impact analysis (the Change Approval Board).

WHAT ARE WE LOOKING FOR:

A proven record of implementation of method transformers.

The technical ability to convert one data-frame into a tokenizer.

Proficiently fitting implementing methods that accept data-frames and produce models into transformers.

In-depth knowledge of deployment of chains, multiple transformers, and estimators to create ML workflow.

Develop detailed analyses repeatedly evaluating different features in engineering steps, algorithms, hyper-parameters, train original datasets, and cross-validation.

Superior ability to build and execute specifying a list of learning models combined into a powerful meta-learning model.

Solid experience with specifying a mechanism of converting categorical features to continuous features based on the mean calculated values of the targeted labels column and running it through the pipeline model.

PHYSICAL DEMANDS:

This position requires the ability to communicate and exchange information and utilize equipment necessary to perform the job.

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.

QUALIFICATION, KEY REQUIREMENTS AND SKILL SET:

Critical programming experience in Python, R, Scala, SQL, JAVA, C++, and C#.

10+ years of experience as a Software Engineer.

Extensive experience in AI-powered software development management and advanced analytics.

Certified Information Security Manager (CISM) is essential.

Offensive Security Certified Professional (OSCP), Certified Information Security Manager (CISM) is essential.

Certified Authorization Professional (CAP)

Information Assurance System Architecture and Engineer (IASAE)

It is a 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 experienced psychologist

STAGE 3: Pre-Screening (verification checks & security clearance)

STAGE 4: Interview with the CEO, CTO & GC

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