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Ml Ops Engineer
6 days ago
We have an open role for Position Title-**ML Ops Engineer**- with a leading Group in **Bahrain**.
**Job Title**:ML Ops Engineer
**Location**: Bahrain
**Experience**: 5-7 Years
**Responsibilities**:
- Design and implement data pipelines and engineering infrastructure to support enterprise machine learning systems at scale.
- Work closely with data scientists and engineering teams to deploy, monitor, and optimize machine learning models in production.
- Identify, evaluate, and integrate new technologies to enhance performance, maintainability, and reliability of machine learning solutions.
- Manage cloud infrastructure (AWS, Azure, GCP) and containerization (Docker, Kubernetes) to ensure scalable and efficient ML workloads.
- Implement and maintain highly available and scalable machine learning environments.
- Ensure the security and compliance of machine learning systems, adhering to governance and industry regulations.
- Troubleshoot and optimize machine learning models and infrastructure for performance improvements.
- Collaborate with IT and OT teams to ensure seamless integration of machine learning systems.
- Use Infrastructure as Code (Terraform, CloudFormation) to automate the management and provisioning of infrastructure.
- Implement automated processes for deployment, monitoring, logging, and performance tracking.
**Required Skillsets**:
- **ML Model Deployment & Containerization**: Strong experience with Docker and Kubernetes.
- **Cloud Platforms**: Expertise in AWS, Azure, or Google Cloud Platform (GCP).
- **DevOps Practices**: In-depth knowledge of DevOps, CI/CD pipelines, and automation techniques.
- **Monitoring & Logging**: Proficiency in setting up monitoring and logging for ML models and infrastructure.
- **Version Control**: Expertise in Git or other version control systems.
- **IT-OT Integration**: Experience integrating IT and OT systems.
- **Scalability & High Availability**: Proven track record of designing scalable, highly available machine learning infrastructure.
- **Security & Compliance**: Understanding of security protocols, compliance frameworks, and governance.
- **Infrastructure as Code (IaC)**: Proficiency with Terraform or CloudFormation for automating infrastructure management.
- **Scripting**: Strong skills in Python or Bash scripting for automation.
- **Data Engineering**: Familiarity with data engineering workflows and handling large datasets.
- **Troubleshooting**: Excellent problem-solving and troubleshooting abilities in distributed systems.
**Job Types**: Full-time, Permanent
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