Responsibilities

Test, deploy, and perform software/software patch installations, validation, and documentation.
Prepare and maintain system and database backup and restore procedures.
Participate in project meetings, system acceptance testing (SAT), user acceptance testing (UAT), and on-site deployment activities.
Liaise with vendors and users to troubleshoot and resolve software, system, and deployment issues both on-site and remotely.
Support the deployment, integration, monitoring, and maintenance of AI-enabled applications and solutions.
Assist in validating AI model deployments and AI application performance in test and production environments.
Collaborate with development, data, and engineering teams to support AI solution implementation and operational readiness.
Prepare technical documentation, deployment guides, and operational procedures for both traditional and AI-based systems.
Comply with project plans, security policies, industry standards, and AI governance best practices.
Participate in project meetings and coordinate with cross-functional teams to ensure successful project execution.

Requirements

Diploma/Degree in EEE/Computer Science/Computer Engineering or equivalent
Familiar with software deployment and repository tools
Knowledge of digital communications, Microsoft .NET, Scripting languages (PowerShell, Python, Bash)
Knowledge of professional software engineering and best practices
Knowledge of Communication Stack Layer and various communication protocols like SNMP, TCP/IP and UDP
Knowledge of Firmware development will be an added advantage
Knowledge of OS/System Hardening will be an added advantage
Basic understanding of AI/ML and Generative AI technologies
Understanding of AI model validation, performance monitoring, and operational support
Awareness of AI governance, security, and data privacy best practices
Willing to learn and travel to site
Customer support outside of normal business hours