Experience- 5+ yrs
Location- Bahrain, Middle East- On site
ML Ops Engineer
Full Time opportunity
- 5-7 Years Design the data pipelines and engineering infrastructure to support our clients' enterprise machine learning systems at scale
- Identify and evaluate new technologies to improve performance, maintainability, and reliability of machine learning solutions
- Apply software engineering rigor and best practices to machine learning pipelines, including CI/CD, automation, etc. ML Model Deployment / Containerization (Docker, Kubernetes) / Cloud Platforms (AWS/ Azure/ GCP) / DevOps Practices / CI/CD Pipelines / Automation / Monitoring and Logging / Data Management / Version Control (Git) / IT-OT Integration / Scalability and High Availability / Troubleshooting / Security / Compliance and Governance / Model Optimization / Collaboration / Container Orchestration / Infrastructure as Code (Terraform, CloudFormation) / Scripting (Python, Bash) / Data Engineering