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Machine Learning Engineer
HCLTechKuala Lumpur, Kuala Lumpur, Malaysia2 days ago
Job descriptionFamiliarity with Infrastructure as Code implementation is a plus. Certification in Agile methodologies (preferably Scrum) is a plus. Understanding of CI / CD is a plus. Expertise in Microservice Architecture. Valid Certification in AWS and / or Azure. Expertise managing AWS IAM and Azure SPN. Expertise in System design and Cloud Automation. Experience in system operation, application support or consulting with a focus on system / application server support & administration. Experience with Linux system administration and troubleshooting of system or network issues. Experience with AWS, Azure and OpenShift administration. Experience with Terraform Enterprise is a plus. English environment is mandatory; technical writing is an advantage. Experience with enterprise systems monitoring; knowledge of Prometheus, Zabbix, or Nagios is a plus. Experience with automation tools (Ansible or similar like Puppet or Chef). Nice to have : Kubernetes or Docker-based containers.
Overview
Machine Learning Engineer at HCLTech, Kuala Lumpur, Malaysia. This role focuses on technical engineering services for digital projects, cloud initiatives, cloud migrations, system expansions, refits, and cloud integrations with new and existing systems.
Responsibilities
- Design, present, develop, and implement end-user or enterprise cloud services of significant complexity according to customer requirements, global standards, and security standards.
- Provide consultancy for internal and client teams; act as a key person for projects and initiatives (e.g., enabling new cloud services (AWS & Azure), service improvement, operations excellence).
- Collaborate daily with global team members and other IT teams to implement new capabilities.
- Implement and maintain high-quality documentation.
Technical Expertise / Qualifications
Seniority level
Mid-Senior level
Employment type
Full-time
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Machine Learning Engineer • Kuala Lumpur, Kuala Lumpur, Malaysia
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