What will you do?
In this job, you will join AFSLs ML group and be a part of on-going research projects by being responsible for its DevOps environments and infrastructures.
Support DevOps /Jenkins activities
Maintain and improve CI/CD workflows of our automatic data acquisition systems, production and development environments while collaborating with algorithm teams
Be responsible for Dockers development and maintenance
Support algorithm teams with Linux environment-related activities
Take part in maintaining and improving the automatic data acquisition systems for our ML production and development environments, the data collection and automation process
Gradually acquire an increasing knowledge of memory systems
In this job, you will join AFSLs ML group and be a part of on-going research projects by being responsible for its DevOps environments and infrastructures.
Support DevOps /Jenkins activities
Maintain and improve CI/CD workflows of our automatic data acquisition systems, production and development environments while collaborating with algorithm teams
Be responsible for Dockers development and maintenance
Support algorithm teams with Linux environment-related activities
Take part in maintaining and improving the automatic data acquisition systems for our ML production and development environments, the data collection and automation process
Gradually acquire an increasing knowledge of memory systems
Requirements:
Requirements:
B.Sc. in Computer Science or equivalent professional experience
2+ years DevOps experience
2+ years experience in software and scripts development language ( Python )
Experience with CI/CD tools and methodologies such as Jenkins, GitLab CI/CD
Familiarity with Git source control system
Experience with Bash scripting
Good knowledge of Windows and Linux OS
Ability to conceptually understand ML algorithms
Requirements:
B.Sc. in Computer Science or equivalent professional experience
2+ years DevOps experience
2+ years experience in software and scripts development language ( Python )
Experience with CI/CD tools and methodologies such as Jenkins, GitLab CI/CD
Familiarity with Git source control system
Experience with Bash scripting
Good knowledge of Windows and Linux OS
Ability to conceptually understand ML algorithms
Advantages:
Dockers technology understanding and experience
Experience with MLOps frameworks
Experience with NoSQL Databases (e.g., MongoDB), PostgreSQL Database
Working in Linux /Win OS
This position is open to all candidates.
