Bahrain Job Openings
Career Maker
ML Ops Engineer (Location-Bahrain)
Manama
FULL TIME
October 17, 2024
Job Title: ML Ops Engineer
Location: Bahrain
Experience: 5-7 Years
*** Kindly share CVs to (Jincy@careermakerbh.com)
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.
- Apply software engineering best practices to machine learning pipelines, including CI/CD, automation, monitoring, and version control.
- 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, Cloud Formation) to automate the management and provisioning of infrastructure.
- Implement automated processes for deployment, monitoring, logging, and performance tracking.
- ML Model Deployment & Containerization: Strong experience with Docker and Kubernetes.
- Cloud Platforms: Expertise in AWS, Azure, or Google Cloud Platform (GCP).
- Dev Ops Practices: In-depth knowledge of Dev Ops, 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 (Ia C): Proficiency with Terraform or Cloud Formation 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.
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