Key skills
DockerKubernetesPythonBashAIMachine LearningMLMLOpsVersion ControlCI/CDCommunicationCollaboration
About this role
Role Overview
- Drive the operational excellence of our AI/ML Platform
- Design and implement automated deployment pipelines
- Collaborate with teams to maintain scalable infrastructure
- Develop and maintain monitoring and logging systems
- Work closely with data engineers for efficient data pipelines
- Implement version control systems for machine learning models
- Contribute to the governance of machine learning models
- Enforce security best practices in MLOps
- Identify opportunities for process automation
- Contribute to incident response and system recovery
Requirements
- BS or MS in Computer Science, or related field
- 5+ years of hands-on experience in DevOps and MLOps
- Proficiency in implementing Infrastructure as Code practices
- Strong expertise in containerization technologies (Docker, Kubernetes)
- Experience in setting up and managing CI/CD pipelines
- Strong scripting skills in Python, Bash, or similar languages
- Familiarity with monitoring and logging tools
- Understanding of security best practices in MLOps
- Excellent collaboration and communication skills
- Proven ability to troubleshoot and resolve complex operational issues
Tech Stack
- Docker
- Kubernetes
- Python
Benefits
- Annual cash bonuses
- Comprehensive benefits package