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 dollar industry. We spearhead an industry-leading Blackbox to facilitate and administer trade agreements, pioneering a vehicle driven by our new generation benchmark, delivering solutions through innovation with uncompromising agility. We predict trends in aerospace and government defense entities, anticipate political shifts, and influence actual changes in government policies through innovation.
JOB DESCRIPTION:
As a newly created 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. 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-models that combine different algorithms. You will demonstrate target encoding by using the BULLISHIER API. We are a startup enhancing the early stages of a product development project, and the oversight requires you to deploy trained models into production. Areas to improve and cover will include replacing existing workflows that require advanced machine learning algorithms. Additional algorithms, NLP, and ensemble methods will utilize powerful data munging, ML Pipelines with advanced algorithms fully deployed for speed and accuracy with a Graphical User Interface (GUI). You will also participate in software design meetings with the CEO, CTO, VP of Data Processing and Governance, and VP of Software Engineering and Advanced Analytics to determine technical requirements.
WHAT ARE WE LOOKING FOR:
- A proven record of implementation of method transformers.
- The technical ability to convert one data-frame into Tokenizer.
- Proficiently fitting and 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 workflows.
- 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.”
QUALIFICATION, KEY REQUIREMENTS AND SKILL SET:
- Critical programming experience in Python, R, Scala.
- 10+ years of experience as a Software Engineer.
- Extensive experience in AI-powered software development management and advanced analytics.
INTERVIEW PROCESS:
- STAGE 1: COGNITIVE ABILITY TEST
- STAGE 2: COGNITIVE ASSESSMENT SCREENING WITH A 30+ YEARS EXPERIENCE PSYCHOLOGIST
- STAGE 3: PRE-SCREENING (verification checks & security clearance)
- STAGE 4: INTERVIEW WITH THE CEO, CTO & GC
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