Key skills
AI/ML pipelinesPythonCloud platforms - AWSCloud platforms - AzureCloud platforms - GCPDockerKubernetesData processingMachine learning conceptsAIMachine LearningMLAWSAzureGCP
About this role
Armis, the cyber exposure management & security company, protects the entire attack surface and manages an organization’s cyber risk exposure in real time. They are seeking a talented AI Pipeline Engineer to develop and optimize their AI infrastructure, collaborating with data scientists and engineers to implement cutting-edge AI solutions.
Responsibilities:
- Design, build, and maintain robust AI pipelines for data processing, model training, and deployment
- Collaborate with data scientists and engineers to implement cutting-edge AI solutions
- Optimize existing AI infrastructure for performance, scalability, and reliability
- Troubleshoot and resolve issues in the AI pipeline environment
- Document and maintain best practices for AI pipeline development and deployment
- Develop and implement Minimum Viable Product (MVP) code for AI initiatives
- Collaborate with other engineers to transition MVP code to production-ready systems
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent professional experience
- Proven experience in building and managing AI/ML pipelines
- Proficiency in Python and other relevant programming languages
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes)
- Strong understanding of data processing and machine learning concepts