Job Summary

We are seeking two OT Technical Coordinators to support the deployment and operationalization of computer vision solutions across manufacturing facilities in North America.
The role will convert centrally defined deployment plans into reliable, repeatable plant-floor execution. The selected candidates will act as the onsite representatives of the computer vision program team, coordinating hardware installation, camera setup, commissioning, integration support, troubleshooting, evidence collection, issue escalation, documentation, and site enablement.
This is primarily an onsite technical coordination and deployment role, not a software development position. The successful candidate must combine practical knowledge of computer vision and operational technology with strong coordination, documentation, problem-solving, and stakeholder-management skills.

Key Responsibilities

We are seeking two OT Technical Coordinators to support the deployment and operationalization of computer vision solutions across manufacturing facilities in North America.
The role will convert centrally defined deployment plans into reliable, repeatable plant-floor execution. The selected candidates will act as the onsite representatives of the computer vision program team, coordinating hardware installation, camera setup, commissioning, integration support, troubleshooting, evidence collection, issue escalation, documentation, and site enablement.
This is primarily an onsite technical coordination and deployment role, not a software development position. The successful candidate must combine practical knowledge of computer vision and operational technology with strong coordination, documentation, problem-solving, and stakeholder-management skills.

Skill Requirements

Site readiness and deployment planning
•    Coordinate with manufacturing plants to prepare for computer vision deployments.
•    Conduct or facilitate initial discussions with plant leadership, OT teams, maintenance teams, operators, installation partners, and other stakeholders.
•    Assess existing plant-floor infrastructure, operational processes, technical constraints, and deployment readiness.
•    Support the planning and facilitation of site boot camps and readiness workshops.
•    Translate program-level deployment plans into detailed, executable onsite activities.
•    Develop and apply repeatable site-readiness checks based on installation and commissioning requirements.
Computer vision hardware deployment
•    Serve as the onsite eyes and hands of the computer vision deployment team.
•    Coordinate the physical installation of cameras, lighting, enclosures, edge devices, network components, and associated hardware.
•    Guide onsite installation teams on camera positioning, mounting angles, field of view, lighting conditions, image quality, and environmental constraints.
•    Determine or recommend appropriate camera mounting positions, number of cameras, and lighting arrangements based on differences in production-line configurations.
•    Support the collection of high-quality images and operational data required by the offshore data science team.
•    Verify that installed equipment meets defined technical and operational expectations.
Commissioning, integration, and issue resolution
•    Support commissioning and integration activities in collaboration with plant OT teams, installation partners, solution architects, and data science teams.
•    Perform first-level triage for hardware, connectivity, image-quality, integration, and operational issues.
•    Coordinate with the appropriate technical teams to investigate and resolve deployment issues.
•    Maintain issue logs, supporting evidence, escalation details, owners, and closure status.
•    Follow through on issues until resolution and confirm that deployed solutions remain operational.
•    Assist with SCADA, industrial network, IoT, and control-system touchpoints where applicable.
Standardization and documentation
•    Work with program leadership to create standardized and repeatable deployment practices.
•    Develop checklists for site readiness, installation verification, commissioning, testing, and handover.
•    Collect photographic, technical, configuration, and operational evidence from each installation.
•    Create and maintain as-built documentation for deployed systems.
•    Define and apply site-acceptance and handover criteria.
•    Capture lessons learned and incorporate improvements into future deployments.
•    Help establish a consistent deployment model that can be scaled across multiple plants and production stations.
Site enablement and stakeholder coordination
•    Act as a proxy for the computer vision deployment lead when coordinating onsite execution.
•    Build effective working relationships with stakeholders ranging from senior executives and plant leadership to OT engineers and assembly-line operators.
•    Coordinate with the India-based data science team responsible for algorithm and model development.
•    Ensure that the offshore team receives the required images, data, site information, and deployment feedback.
•    Support the preparation of training content and the overall learning approach for operators and onsite OT engineers.
•    Help establish local ownership so that plant personnel can operate and support the deployed solution.
•    Provide regular deployment status, risks, issues, decisions, and next steps to program leadership.

Other Requirements

Required Technical Skills •    Working knowledge of computer vision concepts, including:  o    Camera selection and setup fundamentals o    Camera positioning and field of view o    Lighting design and image-quality considerations o    Image and data collection o    Vision-system installation and commissioning •    Good understanding of operational technology environments. •    Familiarity with industrial automation and manufacturing control systems. •    Understanding of industrial IoT devices, plant-floor networks, and connected equipment. •    Basic knowledge of SCADA systems and their role in manufacturing operations. •    Experience supporting hardware installation, system commissioning, integration, or operational troubleshooting. •    Ability to understand technical architecture and deployment instructions without being responsible for solution architecture. •    Basic understanding of programming or scripting sufficient to communicate with software and data science teams. Hands-on software development is not a primary responsibility. •    Ability to collect, organize, validate, and transfer operational data and images to data science teams. Required Professional Skills •    Strong verbal and written communication skills. •    Excellent coordination and stakeholder-management capabilities. •    Ability to communicate effectively with technical and nontechnical audiences. •    Strong onsite troubleshooting and problem-solving skills. •    Proactive approach to identifying deployment risks and closing execution gaps. •    Ability to manage multiple site activities and priorities concurrently. •    Strong documentation and evidence-collection discipline. •    Ability to work across US-based plant teams and India-based technical teams. •    Comfortable operating independently at customer manufacturing locations. •    Ability to represent program leadership in onsite discussions and decisions within defined role boundaries. Preferred Experience •    Experience deploying computer vision, machine vision, industrial imaging, or manufacturing automation solutions. •    Experience in wiring inspection, electrical-panel inspection, assembly verification, or similar industrial vision use cases. •    Experience supporting multisite manufacturing deployments. •    Exposure to edge computing and industrial networking. •    Experience working with external system integrators or equipment-installation partners. •    Familiarity with manufacturing quality, continuous improvement, and production processes. •    Experience preparing standard operating procedures, as-built documentation, commissioning records, and handover packages. •    Experience collaborating with data scientists or AI/ML engineering teams. Recommended Education and Experience The transcript does not specify mandatory education or experience thresholds. For candidate screening, the following can be treated as recommended criteria: •    Bachelor’s degree or diploma in Electrical Engineering, Electronics, Instrumentation, Automation, Mechatronics, Computer Engineering, Manufacturing Engineering, or a related discipline. •    Relevant experience in industrial automation, OT, manufacturing systems, machine vision, or onsite technical deployment. •    Previous experience working in operational manufacturing environments. Role Boundaries The role will own •    Disciplined onsite execution •    Site readiness coordination •    Installation support and verification •    Camera and lighting setup recommendations •    Commissioning support •    Evidence and data collection •    First-level issue triage •    Escalation and closure coordination •    Site documentation and handover •    Operator and OT-team enablement support Program leadership will retain ownership of •    Product and solution strategy •    Technical architecture •    Program priorities •    Deployment sequencing •    Core computer vision platform development •    Model and algorithm development •   Final technology