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Technical Project & Service Delivery Specialist

Technical Project & Service Delivery Specialist

Resort World Sentosa
Fresher
Not Disclosed
  • Posted 3 months ago
  • Be among the first 10 applicants

Job Description

Role Responsibilities:


Leadership in Smart Technologies

  • :Lead the implementation and integration of smart resort technologies, including robotics and IoT systems
  • .Stay updated with the latest advancements in smart technology and recommend improvements

.
System Optimization and Maintenanc

  • e:Ensure the optimal performance of smart systems and technologie
  • s.Conduct regular maintenance and updates to smart systems to ensure reliability and efficienc

y.
Incident Response and Resoluti

  • on:Respond promptly to incidents affecting smart systems and guest servic
  • es.Troubleshoot and resolve issues to minimize downtime and impact on operatio

ns.
Automation and Monitor

  • ing:Implement automation tools to streamline operations and enhance efficie
  • ncy.Utilize monitoring tools to track the performance and health of smart syst

ems.
Collaboration and Coordina

  • tion:Work closely with other IT teams to ensure seamless integration of smart technolo
  • gies.Coordinate with vendors and service providers for the maintenance and support of smart sys

tems.
User Experience Enhanc

  • ement:Focus on improving the guest experience through the effective use of smart technol
  • ogies.Gather feedback from guests and staff to identify areas for improv

ement.
Documentation and Rep

  • orting:Maintain detailed documentation of smart systems and pro
  • cesses.Generate reports on system performance, incidents, and improv

ements.
Training and

  • Support:Provide training and support to staff on the use of smart techn
  • ologies.Develop user guides and training ma

terials.
Role Requ

irements:
Required Qual

  • ificationsBachelor's degree in Computer Science, Computer Engineering, Electrical / Electronic Engineering, Information Systems, Data Science, Artificial Intelligence, or a related d
  • iscipline.Minimum 5+ years of relevant experience in video analytics, computer vision, smart surveillance, IoT, AI/ML, or related technology implementation in a production or 24/7 operational en
  • vironment.Experience supporting end-to-end solution delivery, from proof-of-concept and implementation through production rollout and operationa
  • l support.Experience working with vendors, system integrators, internal IT teams, and business stakeholders in business-critical technology env
  • ironments.Relevant certifications in AI, cloud, networking, cybersecurity, data analytics, or video surveillance technologies would be adv

antage

  • ous.
    SkillsStrong working knowledge of video analytics systems, CCTV infrastructure, IP cameras, VMS platforms, NVRs, video streams, edge/cloud platforms, and smart surveillance
  • operations.Good understanding of video system networking, including VLANs, bandwidth planning, firewalls, routing, VPN, DNS, and netwo
  • rk latency.Good understanding of data privacy, cybersecurity, and compliance considerations relating to video surveillance and analyti
  • cs systems.Strong troubleshooting skills across camera, network, server, application, analytics, and integration layers, including incident response, root cause analysis, service recovery, system health checks, and alert
  • validation.Strong vendor and stakeholder management skills, including technical proposal review, implementation coordination, defect tracking, service quality oversight, UAT support, performance validation, and post-implementati
  • on support.Strong documentation skills, including solution designs, test plans, support guides, operational SOPs, incident reports, and knowledge bas
  • e articles.Strong ownership, attention to detail, and ability to support business-critical operations during peak periods, major incidents, weekends, evenings, or on-call
  • rotations.Familiarity with video streaming and integration protocols, including RTSP, ONVIF, HTTP/HTTPS, MQTT, WebSocket, REST APIs, and SDK-based in
  • tegrations.Ability to evaluate video analytics accuracy and AI/ML model performance, including false positives, false negatives, confidence levels, environmental constraints, camera angles, lighting, occlusion, and tuning cons

iderations.

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