At a Glance
- Tasks: Join a dynamic team to integrate large-scale data preprocessing with machine learning in aerospace and defense.
- Company: Bullisher is revolutionizing the $3 trillion aerospace and defense industry with innovative fintech solutions.
- Benefits: Work in a startup environment with opportunities for growth and cutting-edge technology.
- Why this job: Be part of a mission to influence government policies through data-driven insights and advanced analytics.
- Qualifications: 10+ years in software engineering with expertise in Python, R, and AI-powered development.
- Other info: Must be legally authorized to work in the UK; visa sponsorship not available.
The predicted salary is between 54000 - 84000 £ per year.
SENIOR SOFTWARE 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 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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SENIOR SOFTWARE ENGINEER-AEROSPACE AND DEFENSE: employer: Gentrian
Contact Detail:
Gentrian Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SENIOR SOFTWARE ENGINEER-AEROSPACE AND DEFENSE:
✨Tip Number 1
Familiarize yourself with the specific technologies and programming languages mentioned in the job description, such as Python, R, Scala, SQL, JAVA, C++, and C#. Having hands-on experience or projects that showcase your skills in these areas will make you stand out.
✨Tip Number 2
Highlight any previous experience you have with machine learning workflows, especially those involving model training, hyper-parameter tuning, and deployment. Be prepared to discuss specific projects where you've successfully implemented these techniques.
✨Tip Number 3
Since this role involves collaboration with high-level executives, practice articulating your technical knowledge in a way that is accessible to non-technical stakeholders. This will demonstrate your ability to communicate effectively within a team.
✨Tip Number 4
Research Bullisher and its position in the aerospace and defense industry. Understanding their mission and how your skills can contribute to their goals will help you tailor your discussions during the interview process.
We think you need these skills to ace SENIOR SOFTWARE ENGINEER-AEROSPACE AND DEFENSE:
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Software Engineer position. Familiarize yourself with the aerospace and defense industry, as well as the specific technologies and methodologies mentioned in the job description.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job description. Emphasize your programming expertise in Python, R, Scala, SQL, JAVA, C++, and C#, as well as your experience with AI-powered software development and advanced analytics.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the aerospace and defense sector and your ability to contribute to Bullisher's mission. Mention specific projects or experiences that demonstrate your proficiency in machine learning, data processing, and model deployment.
Prepare for Technical Questions: Anticipate technical questions related to machine learning algorithms, data structures, and software development practices. Be ready to discuss your experience with hyper-parameter tuning, model training, and deploying models into production during the interview process.
How to prepare for a job interview at Gentrian
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Python, R, Scala, SQL, JAVA, C++, and C#. Highlight specific projects where you've implemented machine learning algorithms or data preprocessing techniques, as this role requires a deep understanding of these technologies.
✨Demonstrate Problem-Solving Skills
Expect to tackle real-world problems during the interview. Practice explaining your thought process when faced with challenges in model training, hyper-parameter tuning, or deploying models into production. This will showcase your analytical skills and ability to innovate.
✨Understand the Company’s Vision
Research Bullisher's mission to disrupt the aerospace and defense industry. Be ready to discuss how your skills and experiences align with their goals, particularly in terms of using data to influence government policies and improve workflows with advanced machine learning.
✨Prepare for Behavioral Questions
Since you'll be working closely with senior leadership, prepare for questions about teamwork, communication, and leadership. Think of examples from your past experiences that demonstrate your ability to collaborate effectively and contribute to a team-oriented environment.