Software Development : DevOps - Industrial IoT Security

Your tasks

• Collaborating with coworkers to conceptualize, develop, and release software.
• Design the data pipelines and engineering infrastructure to support our machine learning systems at scale
• Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
• Support model development, with an emphasis on auditability, versioning, and data security
• Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
• Securing software to prevent security breaches and other vulnerabilities.
• Rolling out fixes and upgrades to software, as needed.

Your qualifications

• You have a degree or training in the field of computer science or professional experience in comparable areas
• You have good knowledge of handling Linux, containers (preferably Docker or cloud services) and virtualization
• You have experience in continuous integration and continuous deployment and their Tools
• Experience building end-to-end systems as a Platform Engineer, ML DevOps -Engineer, or Data Engineer (or equivalent)
• Exposure to machine learning methodology and best practices
• Ability to translate business needs to technical requirements
• You are a communicative team player with a high degree of initiative and an independent way of working

Interested?