Software Engineer for Advanced Analytics and Machine Learning

1 day ago

London, Greater London, United Kingdom GENTRIAN Full time

Job Description:

We are seeking a highly skilled Software Engineer to join our team at Gentrian, a leading data-centric fintech solution provider in the aerospace and defense industry.

About Us:

Gentrian is a startup that aims to disrupt and revolutionize a $3 trillion industry by spearheading an industry-leading Blackbox to facilitate and administer trade agreements, driven by our new generation benchmark delivering solutions through innovation with uncompromising agility.

Our Mission:

We predict trends in the aerospace and government defense entities and aim to influence actual changes in government policies through innovation.

Your Role:

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. You will cover analytics engines for large-scale data processing, demonstrate model training together with hyper-parameter tuning of various algorithms using AutoML-training meta model combining different algorithms, and target encoding by using Bullisher API documentation, the dashboard, analytics, configuration, and application health.

Key Responsibilities:

  • Design, deploy, and operate a full-stack system.
  • Replace 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).
  • Deploy trained models into production, expedite a branch deployment, and 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.

What We Are 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.

Requirements:

  • 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.

Salary:

$120,000 - $150,000 per year.

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