Software developers for Machine Learning in Cyber

Key Skills

Java Programming, Python Programming, Database, SQL, DevOps, Machine learning techniques

Job Description

This opening concerns the support of the department of Cyber Security Defence Center (CDC), managed by DSO service, in the Insider protection perimeter.

As of today Airbus have been using traditional enterprises identity based on username and password based credentials with a safe perimeter. As perimeter concept weakens, we need to track user behavior, context (activity, location, etc) and device trust, as additional means of risk based user authentication.

We extend our current identity services to allow normal, abnormal and behavioural analysis using consumer context, statics and advanced analytics to allow real time risk based decision making on authentication decisions.

Goal: This support aims at pursuing the expertise in Data Science and Development to the CDC, taking in consideration the increased scope and stakes around the project.

The activities that will be required:

• MLOps operations
• DevOps
• Delivery of machine learning models to production
• Iteration of machine learning models based on run feedback
• Assemble and edit source code repositories to develop a software stack for the product needs.
• Respects the standards and structure of the given solution and the environment.
• Develops design specifications and parameters that are in compliance with products’ architectural blueprints.
• Participates in all phases of product development lifecycle, from the analysis, design over test and integration to operation of products.
• Researches, evaluates, and develops new tools to improve product development efficiency.
• Deploys, test and/or integrates highly available, scalable, maintainable, monitored systems and services.
• May assist in development of product user manuals.
• Coordinates the functional and technical integration.
• Defines the test strategy, scripts, scenarios and monitors test execution.
• Determines how existing applications, legacy systems, databases, web interfaces and/or hardware logic, which may be currently operating on multiple platforms, work together to meet the new and emerging enterprise requirements.