Artificial Intelligence is when machines exhibit a form of intellect. Any device that perceives its environment and takes actions that maximize its chance of success is portraying artificial intelligence. Similarly, when a machine mimics cognitive functions that are often associated to human actions, such as learning and problem solving, artificial intelligence is applied.

Roles and Responsibilities:

There are a number of roles for Artificial Intelligence Specialists, these include:

• Research scientists (responsible for designing, undertaking and analyzing information)
• Software Engineer (specialize in a few areas of development, such as networks, operating systems, databases or applications)
• C# developer (capable of handling many aspects of developing an application, including but not limited to performance, scalability, security, testing, and more.)
• Information Security Engineers (help to safeguard organization's computer networks and systems)
• Software development manager (playing a key role in the design, installation, testing and maintenance of software systems.)
• Java Developer (specialized type of programmer who may collaborate with web developers and software engineers to integrate Java into business applications, software and websites.)
• Software Analyst (studies the software application domain, prepares software requirements, and specification documents.)

The DevOps Engineer is responsible for development and enhancement of the software delivery and testing platform. The position will participate in requirement specifications with the development teams and will contribute to the overall design and implementation of the evolving solution delivery frameworks. The DevOps Engineer will collaborate with the development teams proactively to understand their software and data delivery requirements and will own the development lifecycle required for implementing the desired solution, including activities around testing.

Required Skills:

• 5+ years of experience driving CI/CD for systems being deployed to cloud providers (proficiency with AWS services and associated setup/operations highly desirable)
• 2+ years of experience with virtualization and Docker containers.
• 2+ years of experience with Kubernetes (cloud deployment highly desirable).
• Proficiency with scripting languages (bash, PowerShell, Perl or equivalent).
• Competence in building and designing complex systems leveraging multiple technologies (legacy and new).
• Demonstrate and ensure consistency in line with industry best practices for CI/CD, code quality, operational readiness, and security.
• Ability to hold your own as the DevOps representative in cross-functional teams.