ML Ops Engineer Location-Bahrain - Career Maker
Posted on :
22-10-2024
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1 Vacancy
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Job Description
We have an open role for Position TitleML Ops Engineer with a leading Group in Bahrain.
Job Title: ML Ops Engineer
Location: Bahrain
Experience: 57 Years
*** Kindly share CVs to confidential
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 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: Indepth 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.
- ITOT 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 problemsolving and troubleshooting abilities in distributed systems.
Job Types: Fulltime Permanent
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