Key skills
AnsibleDockerGrafanaKubernetesPrometheusPythonTerraformBashAIMachine LearningMLMLOpsVersion ControlCI/CD
About this role
Role Overview
- Drive operational excellence of our AI/ML Platform by implementing MLOps practices
- Design and implement automated deployment pipelines for machine learning models
- Collaborate with cross-functional teams to design scalable infrastructure for model training
- Develop and maintain monitoring and logging systems to track model performance
- Implement version control systems for machine learning models
Requirements
- BS or MS in Computer Science, or related field
- 5+ years of hands-on experience in DevOps and MLOps
- Proficiency in Infrastructure as Code practices using tools such as Terraform or Ansible
- Strong expertise in containerization technologies (Docker, Kubernetes)
- Experience in setting up and managing CI/CD pipelines for machine learning projects
- Scripting skills in Python, Bash, or similar languages
- Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana)
- Understanding of security best practices in MLOps
Tech Stack
- Ansible
- Docker
- Grafana
- Kubernetes
- Prometheus
- Python
- Terraform
Benefits
- Annual cash bonuses
- Stock grants
- Comprehensive benefits package