AI and Computer Vision Deployment Specialist

3 days ago

anand, India beBeeProject Full time

Job Overview:We are seeking an experienced Project Support Engineer to ensure the smooth deployment, onboarding, support, and delivery of AI-based video analytics projects.As a key member of our team, you will be responsible for installing, configuring, and commissioning Intozi video analytics systems. You will also coordinate with field engineers for camera integration, network setup, and hardware readiness, as well as conduct system testing, verification, and ensure readiness for PoCs and production deployments.Key Responsibilities: Install, configure, and commission Intozi video analytics systems Coordinate with field engineers for camera integration, network setup, and hardware readiness Conduct system testing, verification, and ensure readiness for PoCs and production deployments Diagnose issues related to cameras, servers, GPUs, networking, and software components Work closely with the engineering team to resolve bugs, configuration errors, and site-specific challenges Provide L1/L2 support for customer queries and incident resolution Monitor system health, alerts, and analytics performance through dashboards Prepare deployment reports, checklists, logs, RCA documents, and customer update reports Track SLA compliance and ensure timely ticket closures Interact with clients, system integrators, and partners for smooth project execution Conduct user training and help customers understand product workflows Support demo setups, PoCs, and pilot deployments Maintain installation guides, site survey reports, network diagrams, and deployment documentation Ensure adherence to project timelines and quality standardsRequired Skills and Qualifications:To succeed in this role, you should have:Technical Skills: Basic understanding of networking, IP cameras, NVR/VMS systems, and server hardware Knowledge of Linux, command-line usage, and basic troubleshooting Familiarity with AI/video analytics concepts (preferred) Exposure to cloud/on-prem deployments, GPUs, and Docker (added advantage)Soft Skills: Strong communication and customer-handling abilities Ability to work under pressure during project go-live and PoC phases Good documentation and coordination skillsBenefits:We offer:Opportunity to work on cutting-edge AI and computer vision solutionsFast-paced learning environment with real exposure to enterprise deploymentsGrowth path towards Project Engineer / Implementation Lead roles

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