Technical Project & Service Delivery Specialist
Technical Project & Service Delivery Specialist
Resort World Sentosa- Posted 3 months ago
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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
