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Role Overview:<br>The Product Manager leads the end-to-end lifecycle of automation products built onplatforms like UiPath, ensuring alignment with organizational goals and customer needs. They identify automation opportunities, prioritize use cases, and translate requirementsinto scalable AI-powered workflows.<br>Key Responsibilities:• Product Strategy s Vision o Define the roadmap for intelligent automation solutions combining RPA and AI (e.g., document understanding, process mining, chatbots).o Align product initiatives with business value, ROI, and digital transformationobjectives.• Use Case Identification s Prioritization o Identify high-impact automation opportunities across business functions.o Evaluate processes for automation feasibility using AI capabilities such as NLP, OCR, and machine learning.• Stakeholder Managemento Collaborate with business leaders, IT teams, data scientists, and automationdevelopers.o Act as the voice of the customer and ensure solutions address real user painpoints.• Product Development s Delivery o Work closely with developers using UiPath tools (Studio, Orchestrator, AICenter).o Define user stories, acceptance criteria, and success metrics.o Ensure agile delivery and continuous improvement.• AI Integration s Innovation o Incorporate AI technologies (e.g., predictive analytics, intelligent documentprocessing).o Evaluate and integrate third-party AI models or services where needed.• Performance Monitoring s Optimization o Track KPIs such as automation rate, cost savings, accuracy, and usersatisfaction.o Continuously refine processes based on data insights.<br>Key Skills s Competencies: • Strong understanding of RPA platforms, especially UiPath• Knowledge of AI/ML concepts (NLP, computer vision, predictive modeling)• Product management expertise (roadmapping, backlog prioritization, agilemethodologies)• Analytical thinking and problem-solving• Stakeholder communication and leadership skills• Familiarity with process mining and workflow optimization tools<br>Note: Only Arabic Speakers can apply for this job. No Egyptians

<p>Own reliability and certification of navigation, communication, automation, and electronic control systems (ECDIS, GMDSS, DP/USV control where applicable). Lead troubleshooting, upgrades, and cyber/comms compliance for mixed fleet and USVs.</p><p><br></p><ul><li><p>Maintain certification and operability of nav/comms/automation systems. </p></li><li><p>Diagnose and resolve electronic faults; manage spares and firmware. </p></li><li><p>Plan upgrades/retrofits (e.g., ECDIS, DP/USV control) and cyber readiness. </p></li><li><p>Support USV deployments (links, sensors, control systems, redundancy). </p></li><li><p>Maintain technical records, configs, and drawings. </p></li><li><p>Interface with Projects to define electronic scope and readiness.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><p><strong>Education (Min.)</strong> B.Eng. Electronics/Automation/EE or equivalent <strong>Experience</strong> 7–10 years marine electronics (GMDSS/ECDIS/radar/automation) with superintendent exposure <strong>Certifications</strong> GMDSS maintainer or OEM courses (preferred); cyber awareness <strong>Technical</strong> Nav/comms/automation, configuration/version control, diagnostics <strong>Behavioral</strong> Analytical, documentation rigor, vendor management <strong>Industry Standards</strong>: IMO (SOLAS/MARPOL/ISM/ISPS), Flag State & Class rules, STCW; IMCA for offshore operations; ISO 9001/14001/45001; Company HSSEQ Management System </p>

SME – Commercial Banking (Automation Delivery & Governance) | Dubai.<br>About Quality Kiosk Technologies,Quality Kiosk Technologies is a globally recognized leader in Quality Engineering and Digital Transformation, ranked among the world's largest independent QE firms. With 4,000+ professionals across 25+ countries, Quality Kiosk partners with leading Banking, Financial Services, Insurance, Telecom, Retail, Government, and Global Enterprises to deliver world-class quality engineering and testing solutions. We are currently hiring an experienced SME – Commercial Banking (Automation Delivery & Governance) for a strategic banking engagement in Dubai.<br>Role Overview We are seeking an experienced SME – Commercial Banking (Automation Delivery & Governance) with strong expertise in Banking Project Delivery, Automation Governance, Stakeholder Management, and GCC Banking Operations. The ideal candidate should possess deep experience working with GCC/Middle East Banks, managing large-scale testing and automation engagements, governance frameworks, delivery execution, project planning, and client stakeholder management. This position requires a strong blend of Commercial Banking domain knowledge, delivery governance expertise, automation oversight, and client-facing leadership capabilities to successfully drive banking transformation initiatives across the Middle East region.<br>Key Responsibilities Project Governance & Delivery Management Drive end-to-end governance and delivery management for banking automation and testing programs. Ensure adherence to delivery standards, governance frameworks, quality controls, and regulatory requirements. Monitor project progress, risks, dependencies, action items, and delivery milestones. Establish project governance mechanisms and performance reporting structures. Develop project roadmaps, delivery plans, and execution strategies. Ensure successful delivery within agreed timelines, quality benchmarks, and stakeholder expectations. Automation Governance Govern automation testing initiatives and quality engineering programs. Ensure compliance with automation delivery standards and best practices. Review automation progress, coverage, quality metrics, and execution reports. Drive governance reviews and continuous process improvement initiatives. Ensure project artifacts, test evidence, execution reports, and documentation are maintained effectively. JIRA Administration & Reporting Manage JIRA projects, workflows, dashboards, reports, and governance metrics. Track project status, risks, action items, defects, and delivery performance. Ensure test cases, execution evidence, project artifacts, and reports are uploaded and maintained in JIRA. Publish governance dashboards and executive-level reports for stakeholders. Stakeholder & Client Management Act as the primary point of contact for client and delivery stakeholders. Engage with senior business, technology, and program leadership teams. Conduct governance meetings, steering committees, and delivery reviews. Present project status, delivery updates, risks, and mitigation plans. Drive alignment among delivery, quality, business, and leadership teams. Project Planning & Estimation Perform effort estimation based on detailed scope analysis. Create project plans, resource plans, delivery schedules, and roadmaps. Define execution strategies and present proposed approaches to clients. Manage project dependencies and optimize resource utilization.<br>Mandatory GCC Banking Experience (Must Have) Minimum 5+ years of experience working with GCC/Middle East Banks. Hands-on experience with leading regional banks such as GCC/ Middle East Banks banks or similar institutions. Strong understanding of GCC Banking operations, regulatory frameworks, and banking transformation programs. Experience managing automation, testing, or delivery programs for GCC banking clients. Strong knowledge of Commercial Banking, Corporate Banking, Cash Management, Trade Finance, Lending, Treasury, Transaction Banking, and Digital Banking within GCC markets. Experience working with cross-functional stakeholder teams across UAE, Saudi Arabia, Qatar, Kuwait, Bahrain, and Oman. Proven ability to manage onsite and offshore delivery teams in Middle East banking environments. Prior onsite GCC banking project experience will be highly preferred.<br>Required Experience12-15 years of overall IT experience. Strong experience in Project Delivery and Governance. Proven expertise in Automation Testing Governance. Significant experience managing enterprise-scale testing and quality engineering programs. Hands-on experience in JIRA Administration, Reporting, and Dashboard Management. Strong client-facing and stakeholder management experience. Experience managing large delivery teams and complex banking engagements.<br>Preferred Banking Domain Expertise Strong experience in one or more of the following:Commercial Banking Corporate Banking Cash Management Trade Finance Lending Treasury Transaction Banking Digital Banking Payments & Collections Liquidity Management Solutions (LMS)<br>Required Skills Delivery & Governance Project Governance Delivery Management Risk & Issue Management Program Governance Quality Assurance Governance Executive Reporting Resource Planning Capacity Planning Effort Estimation Stakeholder Management<br>Testing & Quality Engineering Test Management Automation Governance Quality Engineering Release Governance Defect Management Test Reporting Quality Metrics & KPI Management Tools JIRA Administration Dashboard Management Agile Tools Reporting Tools Defect Tracking Systems<br>Soft Skills Excellent communication and presentation skills. Strong client relationship and stakeholder management capabilities. Exceptional leadership and coordination abilities. Strong analytical and problem-solving mindset. Ability to influence senior banking and technology stakeholders. High ownership, accountability, and decision-making capability. Strong governance and delivery management skills.<br>Mandatory Screening Criteria✔ 12-15 Years Overall Experience ✔ Minimum 5+ Years GCC Banking Experience (Mandatory) ✔ Commercial / Corporate Banking Domain Experience ✔ Automation Governance & Delivery Management Experience ✔ JIRA Administration & Dashboard Management Experience ✔ Project Planning & Effort Estimation Experience ✔ Client & Executive Stakeholder Management Experience ✔ Banking Transformation Program Experience ✔ Experience Managing Large Testing/Automation Teams ✔ Strong Communication & Presentation Skills ✔ UAE / Middle East Banking Project Exposure Preferred<br>Ideal Candidate Profile A highly accomplished Banking Delivery Leader with strong GCC Banking experience, extensive exposure to Commercial and Corporate Banking, and proven expertise in Automation Governance, Delivery Management, Project Governance, and Stakeholder Engagement. The candidate should have a successful track record of delivering large-scale banking transformation initiatives across GCC banks while ensuring quality, governance, regulatory compliance, and client satisfaction. Location: Dubai, UAE Experience: 12-15 Years Domain: Commercial Banking / Corporate Banking / GCC Banking Function: Automation Delivery, Governance & Stakeholder Management Apply Now???? deepak.pednekar-qkct@qualitykiosk.com ???? Call / Whats App: +91 8850047469

We are looking for an experienced Proposal Engineer with 3-5 years of relevant experience to prepare competitive techno-commercial proposals for Industrial Automation projects across the Middle East & Africa. The ideal candidate will have extensive experience working with major OEMs, EPC contractors, system integrators, and industrial end users, with a strong understanding of automation systems, OT cybersecurity, project execution, and commercial bid preparation.<br>Key Responsibilities<br>Review RFIs, RFQs and tender documents to identify technical and commercial requirements. Prepare complete techno-commercial proposals for Industrial Automation projects, ensuring compliance with customer specifications and tender requirements. Coordinate with Engineering team for developing technical solutions for PLC, SCADA, DCS, SIS, RTU, HMI, Cybersecurity, and Digitalization projects. Coordinate with OEMs, EPC contractors, suppliers, and internal engineering teams to obtain technical and commercial inputs. Prepare project cost estimates, BOMs, pricing, and commercial offers while maintaining target margins. Conduct technical and commercial clarifications with customers during the bidding process. Identify project risks, assumptions, exclusions, and deviations, and incorporate them into proposals. Support sales teams during customer presentations, bid reviews, and negotiations. Maintain proposal documentation, bid registers, and lessons learned for continuous improvement. Ensure proposals comply with company standards, client specifications, legal requirements and applicable industry codes and standards.<br>Required Qualifications<br>Bachelor's degree in Electrical, Electronics, Instrumentation, Automation Engineering, or a related discipline.3–5 years of experience in proposal engineering, estimation, or bid management within Industrial Automation. Proven experience preparing proposals for major OEMs, EPC contractors, and industrial end users. Strong knowledge of automation systems, instrumentation, control systems, and OT cybersecurity. Excellent analytical, commercial, and documentation skills. Strong communication, coordination, and stakeholder management abilities.<br>Preferred Industry Experience<br>Oil & Gas Petrochemical Power Generation & Distribution Water & Wastewater Marine & Offshore Manufacturing Mining & Metals<br>Technical Knowledge<br>Hands-on knowledge of one or more of the following platforms is preferred:Rockwell Automation Siemens Schneider Electric ABBEmerson Honeywell Yokogawa GE Vernova Mitsubishi Electric<br>What We're Looking For<br>Strong understanding of EPC project execution and tendering processes. Experience managing complex, multi-discipline industrial automation bids. Ability to work under tight deadlines while maintaining proposal quality. Excellent commercial awareness and attention to detail. Self-driven, organized, and capable of coordinating with multiple stakeholders. Willingness to travel for customer meetings, bid clarification sessions, and project kick-off activities when required.

About SYSCORT<br><br>Syscort is a global consulting and technology services firm based in the UAE, delivering business transformation solutions across MENA, APAC, UK, US, and Europe. We specialize in Treasury & Risk Consulting, Financial Transformation, Data & Analytics, AI & Automation, and Technology Consulting, helping organizations optimize operations, unlock insights, and build future-ready enterprises.<br><br>Role Objective<br><br>Understand client business problems and translate them into well-defined, commercially viable automation, integration and AI solutions that the technical team can execute with minimal ambiguity or rework.<br><br>Key Responsibilities<br><br> Client Discovery Conduct discovery meetings and workshops. Understand business objectives, pain points, processes and requirements. Identify stakeholders, decision-makers and process owners. Challenge the initial requirement where necessary to identify the underlying business problem. Business Process Analysis Document AS-IS processes and identify inefficiencies and bottlenecks. Design TO-BE processes. Identify automation, AI and process-improvement opportunities. Define business rules, approvals, exceptions and dependencies. Requirements & Functional Design Prepare BRDs, FRDs, use cases, user stories and acceptance criteria. Define functional requirements and workflows. Document data requirements, integrations and business rules. Ensure requirements are clear enough for the technical team to build. Automation, Integration & AI Consulting Design functional solutions using workflow automation, n8n, APIs, AI/LLMs, Agentic AI, RAG, chatbots and voice AI. Understand API, webhook, authentication and data-mapping requirements. Work with developers and Solution Architects to validate technical feasibility. Solution & Presales Support discovery-led proposals and solution presentations. Define scope, deliverables, assumptions and exclusions. Provide inputs for effort estimation and pricing. Prepare SOWs and solution documentation. UAT & Delivery Handover Define UAT scenarios, test cases and acceptance criteria. Coordinate UAT with client stakeholders. Track defects and clarifications. Ensure approved requirements and functional designs are properly handed over to the development team.<br><br>Ideal Candidate<br><br>4–8 years in Business Analysis, Solution Consulting, Digital Transformation, Automation or Technology Consulting. Strong client-facing and analytical skills. Excellent process mapping and documentation ability. Comfortable discussing APIs, integrations, automation and AI. Business-minded and able to translate problems into practical solutions. Strong communication and stakeholder management skills. Should be a solution thinker, not a documentation-only BA.<br><br>Success Measures<br><br>High-quality discovery and requirements. Reduced delivery rework and clarification cycles. Accurate scope and estimates. Strong client satisfaction. Successful UAT and handover. Identification of meaningful automation and AI opportunities.

Quality & Support Engineer Dubai Must be an Emirati<br>We are looking for a Quality & Support Engineer to join the Digital & Innovation team of an international insurance broker in Dubai. The role combines QA automation, application support, troubleshooting, and continuous improvement, ensuring the quality, reliability, and performance of our digital applications.<br>Key Responsibilities:Develop and maintain automated tests using Playwright, Selenium, or similar tools. Perform manual and automated testing, including end-to-end testing. Integrate testing into CI/CD pipelines. Troubleshoot application issues, analyse logs, and manage incidents. Support application releases, deployments, monitoring, and maintenance. Work closely with developers, product teams, users, and vendors. Maintain technical documentation and support user training. Identify opportunities for automation and process improvement. Requirements:3-5 years of experience in QA, test automation, or application support. Must be an Emirati. Strong experience with Playwright/Selenium. Programming knowledge in Java Script, Python, or Java. Experience with CI/CD, SQL, APIs, web technologies, and system integrations. Strong troubleshooting and analytical skills. Bachelor's degree in Computer Science, IT, or a related field.

Summary:<br><br>The role of the Senior VMware Cloud Foundation Consultant focuses on designing, deploying, and managing VMware Cloud Foundation (VCF) 9.1 environments for enterprise clients, particularly emphasizing v Sphere Kubernetes Service (VKS) and VCF Automation.<br><br>Responsibilities:<br><br>Design and deploy VMware Cloud Foundation 9.1 with management and workload domains. Deploy and operate v Sphere Kubernetes Service (VKS), including Supervisor clusters and workload management. Configure VCF Automation (VCFA) for projects and self-service consumption. Implement VCF Operations for fleet monitoring and lifecycle management. Document designs and conduct validation testing; facilitate knowledge-transfer sessions. Contribute to solution scoping and pre-sales support as needed. Ensure reliable delivery in a remote model with effective client communication.<br><br>Key Requirements:<br><br>5+ years of VMware implementations in enterprise environments. Experience with VMware Cloud Foundation 9.x: SDDC Manager, VCF Installer. Solid knowledge of v Sphere Kubernetes Service (VKS) and Kubernetes fundamentals. Expertise in VCF Automation and configuration of service catalogs. Strong v Sphere and storage skills (v SAN or Fibre Channel). Proficiency in NSX and VCF Operations. High-quality documentation abilities and client-facing communication skills.<br><br>Nice to Have:<br><br>Experience with NSX Advanced Load Balancer and NSX Federation. Knowledge of automation tools like Power CLI, Ansible, or Terraform. Previous delivery experience in banking, telecommunications, or regulated environments.<br><br>Other Details:<br><br>Location: Remote-first with occasional travel. Team: Collaborate with a team under the mentorship of a certified architect. Certifications: VCP-VCF and/or VCP-DCV preferred.

Job Summary We are seeking an AI Implementation Specialist to support the adoption and implementation of Artificial Intelligence solutions across the organization. The role will focus on identifying opportunities for automation, improving business processes, implementing AI tools and workflows, and supporting departments in using AI effectively to improve efficiency, reporting, and decision-making. Key Responsibilities Identify business processes suitable for AI and automation. Implement AI tools, workflows, and automation solutions across departments. Develop and maintain AI-powered processes, internal assistants, and reporting solutions. Integrate AI tools with existing systems, platforms, and business applications where required. Work with different departments to understand operational requirements and recommend suitable AI solutions. Automate repetitive tasks, reporting, data analysis, and document processing. Evaluate new AI tools, platforms, and vendors based on business needs, cost, security, and scalability. Conduct testing and pilot projects before full implementation. Train employees on approved AI tools and ensure effective adoption. Maintain proper documentation, SOPs, and user guidelines for implemented solutions. Monitor the performance and effectiveness of AI implementations and recommend improvements. Ensure AI solutions are used in accordance with company data privacy and security policies. Qualifications & Experience Bachelor's degree in Artificial Intelligence, Computer Science, Information Technology, Data Science, Business Analytics, or a related field. Minimum 2–5 years of relevant experience in AI implementation, automation, digital transformation, or business systems. Practical experience with AI tools, workflow automation, and system integrations. Experience working with multiple departments and business stakeholders. Experience in retail, FMCG, distribution, e-commerce, or logistics will be an advantage. Technical Skills Knowledge of tools and technologies such as:Chat GPT / Open AIMicrosoft Copilot, Gemini, Claude AI Agents and Prompt EngineeringMake.com, Zapier, n8n, or Power Automate API Integrations Power BI / Looker Studio Advanced Excel / Google Sheets SQL or Python ERP, CRM, and E-commerce systems Key Competencies Strong analytical and problem-solving skills Good understanding of business processes Strong communication and coordination skills Ability to manage multiple projects Strong documentation skills Ability to translate business requirements into practical AI solutions Continuous improvement and results-oriented mindset Role Objective The AI Implementation Specialist will act as the link between business operations and AI technology, ensuring that AI solutions deliver measurable improvements in productivity, automation, operational efficiency, reporting, cost savings, and decision-making.

We are seeking an experienced Business Manager with 8–10 years of relevant experience to drive business growth for our Industrial Automation solutions across the Middle East & Africa. The ideal candidate will have a proven track record in developing business with major OEMs, EPC contractors, system integrators, and end users in the Oil & Gas, Power, Utilities, Marine, Water & Wastewater, and Manufacturing sectors. The role requires strong techno-commercial expertise, strategic account management, and the ability to develop long-term customer relationships.<br>Key Responsibilities<br>Develop and execute sales strategies to achieve revenue and profitability targets. Identify, qualify, and develop new business opportunities with major OEMs, EPCs, system integrators, and industrial end users. Build and maintain relationships with engineering consultants, project owners, procurement teams, and key decision-makers. Promote Industrial Automation solutions including PLC, SCADA, DCS, SIS, RTU, HMI, Cybersecurity, and Digitalization solutions. Manage the complete sales cycle from lead generation and opportunity qualification through proposal submission, negotiation, and contract award. Work closely with engineering and project delivery teams to develop technical and commercial proposals. Monitor market trends, competitor activities, and upcoming projects to identify new business opportunities. Develop strategic account plans for key customers and maximize cross-selling opportunities. Maintain an accurate sales pipeline and provide regular forecasts using CRM tools. Represent the company at customer meetings, technical presentations, exhibitions, and industry events. Required Qualifications<br>Bachelor's degree in Electrical, Electronics, Instrumentation, Automation Engineering, or a related discipline.8–10 years of sales and business development experience in Industrial Automation. Strong network with major OEMs, EPC contractors, engineering consultants, and industrial end users across the Middle East. Proven experience in selling automation solutions for large industrial projects. Strong understanding of industrial control systems and automation technologies. Excellent negotiation, presentation, and communication skills. Ability to work independently and manage multiple customer accounts. Valid UAE driving license is preferred.<br>Preferred Industry Experience<br>Oil & Gas Petrochemicals Power Generation & Distribution Water & Wastewater Marine & Offshore Manufacturing Mining & Metals<br>Technical Knowledge<br>Experience with one or more of the following platforms is preferred:Rockwell Automation Siemens Schneider Electric ABBEmerson Honeywell Yokogawa GE Vernova Mitsubishi Electric<br>What We're Looking For<br>Strong commercial acumen with a consultative sales approach. Established relationships with major EPCs, OEMs, and industrial customers in the GCC. Self-motivated with excellent interpersonal and stakeholder management skills. Willingness to travel across the Middle East & Africa as required.

Request: Senior Salesforce Marketing Cloud Developer Engagement: 12 months with renewal option Seniority: Senior – 5+ years<br>Background & Objective:<br>We are seeking an experienced Senior Salesforce Marketing Cloud (SFMC) Developer to provide temporary delivery support for the migration of one of Emirates Airline’s largest automated customer communication programs. The migration is driven by changes to the company’s loyalty platform and product proposition and will require substantial redevelopment of automated marketing emails, journeys, data processes and associated integrations.<br>The program operates within a complex SFMC environment and currently comprises approximately around 4,000 automations running across email programs and data and over 50 marketing automation journeys with communications personalized at a one-to-one customer level. The successful resource will work as part of a high-performing, experienced team and will develop, test and deploy email communications in Marketing Cloud under the direction of the Customer Strategy & Retention Operations team and its technical leads.<br>What will the resource do:• Assess existing journeys, automations, email assets, data extensions, SQL queries, scripts and integrations affected by the loyalty-platform change.• Translate approved business and technical requirements into robust SFMC solutions.• Redevelop and configure personalized emails, Journey Builder journeys and Automation Studio workflows.• Build and maintain AMPscript, SQL, Server-Side Java Script, HTML/CSS and API integrations as required.• Ensure solutions are scalable, secure, maintainable and aligned with the existing SFMC architecture.• API integration working with REST APIs and third-party systems.• Design and implement data validation, transformation and enrichment processes to ensure data quality and consistency. Handling complex data structures, formats and business rules, including troubleshooting data issues and exceptions.• Complete developer testing, support system and business acceptance testing, resolve defects and provide evidence of successful validation.• Support release planning, deployment, production validation and post-release troubleshooting.• Maintain clear technical documentation, configuration records and handover materials.• Provide transparent progress updates and proactively manage delivery risks, dependencies and blockers.

Experience: 2–5 years<br><br>Overview Supports the implementation of enterprise analytics transformation initiatives by developing data models, building BI reports, automating reporting processes, and assisting in AI-powered analytics projects. Responsibilities Semantic Model & Data Engineering Assist in building Bronze, Silver and Gold data layers. Develop and maintain data pipelines. Support data quality validation and reconciliation. Implement standardized business dimensions and shared keys. Maintain KPI documentation. Business Intelligence Build Power BI dashboards and reports. Develop recurring operational reports. Support month-over-month analysis. Assist with report automation. Automation Support automated report scheduling. Build simple workflows using Power Automate. Maintain reporting templates. AI & Agents Assist in configuring AI-powered reporting solutions. Support prompt development and testing. Help maintain reusable AI skills. Governance Perform data quality checks. Support audit documentation. Follow security and RLS standards<br>.

We're Hiring: Industrial Robotics Manager Location: United Arab Emirates (Remote) Employment Type: Full-Time Experience Level: Mid-Level to Senior Work Arrangement: Fully Remote About UsWe are a globally focused organization committed to advancing industrial automation, robotics, intelligent manufacturing, and operational efficiency across diverse markets. Our teams collaborate across Engineering, Manufacturing, Operations, Automation, IT, Quality, Maintenance, Supply Chain, Safety, Procurement, and technology partners to design, implement, and optimize scalable robotic solutions. The Role We are seeking an experienced Industrial Robotics Manager to lead the strategy, engineering, implementation, optimization, and lifecycle management of industrial robotics and automated production systems. The ideal candidate will combine strong robotics engineering knowledge with operational and project leadership, overseeing robotic systems from concept and integration through commissioning, production ramp-up, performance optimization, maintenance, and continuous improvement. Key Responsibilities Develop and implement industrial robotics strategies aligned with manufacturing and business objectives. Identify automation opportunities across production, assembly, material handling, inspection, packaging, welding, and logistics processes. Lead robotics feasibility studies, automation assessments, business cases, pilots, and implementation programs. Evaluate industrial robots, robotic cells, automation platforms, end-of-arm tooling, vision systems, and control technologies. Manage robotics projects from concept, design, simulation, and procurement through installation, commissioning, and production stabilization. Define functional, technical, safety, performance, and integration requirements for robotic systems. Lead development and deployment of robotic cells, workstations, and automated production lines. Manage industrial robot applications including articulated robots, SCARA, delta, Cartesian, collaborative robots, and autonomous systems where appropriate. Oversee robotic applications for welding, painting, assembly, palletizing, packaging, machine tending, picking, inspection, dispensing, and material handling. Coordinate robot programming, motion planning, sequencing, tooling, fixtures, sensors, and machine interfaces. Ensure robots are effectively integrated with PLCs, HMIs, safety systems, vision systems, conveyors, sensors, and production equipment. Coordinate integration with MES, ERP, SCADA, industrial networks, and manufacturing data platforms. Lead robotic simulation, offline programming, cycle-time analysis, reach studies, collision checks, and process optimization. Establish standards for robot programming, controls architecture, electrical interfaces, mechanical integration, and documentation. Coordinate factory acceptance testing, site acceptance testing, commissioning, validation, and production handover. Monitor robotic system performance, availability, utilization, cycle time, throughput, precision, and reliability. Analyze production and robotics data to identify bottlenecks, recurring failures, and optimization opportunities. Lead root-cause analysis for robotic faults, downtime, quality issues, and production interruptions. Develop preventive, predictive, and corrective maintenance strategies for robotic systems. Work with Maintenance and Engineering teams to improve robot reliability and equipment lifecycle performance. Manage robot calibration, preventive inspections, software updates, backups, and configuration control. Coordinate spare-parts planning and critical component availability for robotic systems. Establish recovery procedures for robot failures, controls faults, communication failures, and production interruptions. Manage robotics vendors, OEMs, system integrators, controls specialists, and technology partners. Define vendor requirements, technical specifications, service levels, warranties, support models, and performance expectations. Monitor supplier performance, project quality, technical support, response times, and implementation milestones. Manage robotics capital projects, operating expenses, budgets, and lifecycle costs. Evaluate automation ROI, payback periods, labor productivity, capacity gains, quality improvements, and operating-cost reductions. Support manufacturing expansion, plant modernization, production-line upgrades, and new facility development. Ensure robotic solutions are scalable for changing production volumes, product variants, and manufacturing requirements. Coordinate robotics requirements for new product introduction and production ramp-up. Support DFM, DFA, process engineering, tooling, fixtures, and manufacturing-readiness activities. Ensure robotic systems meet applicable machinery safety, functional safety, electrical, EMC, and operational requirements. Conduct robotic risk assessments and ensure appropriate guarding, interlocks, safety scanners, emergency stops, and safe operating procedures. Establish cybersecurity and access-control practices for connected robotic systems. Develop operational, maintenance, troubleshooting, programming, and emergency-response documentation. Coordinate training for robot operators, programmers, engineers, technicians, and maintenance teams. Establish competency requirements and certification programs for personnel working with robotic systems. Identify emerging technologies including AI-enabled robotics, machine vision, autonomous robots, digital twins, adaptive motion control, and robotic analytics. Evaluate opportunities to improve robotic systems through AI, computer vision, predictive analytics, simulation, and intelligent automation. Promote Lean, Six Sigma, TPM, reliability engineering, and continuous-improvement practices. Establish robotics technology roadmaps, architecture standards, lifecycle plans, and modernization priorities. Provide management with regular reports covering robotics performance, projects, reliability, costs, risks, capacity, and improvement opportunities. Key Performance Indicators Robot system availability Robot uptime Overall equipment effectiveness Robot utilization Production throughput Robotic cycle time Cycle-time adherence Robotic process capacity Robot positioning accuracy Repeatability performance Automation-related downtime Mean time between failures Mean time to repair Robot fault frequency Repeat failure rate Preventive maintenance completion Predictive maintenance effectiveness Production quality and defect rate Robotics-related scrap and rework Machine vision inspection accuracy Robotic cell first-pass yield Commissioning and ramp-up performance FAT and SAT completion Project schedule adherence Project budget adherence Automation implementation ROIPayback period Labor productivity improvement Capacity improvement Cost per unit Energy consumption Spare-parts availability Vendor SLA performance Technical support response time Safety incidents and compliance Robotics training completion Programming and documentation compliance System backup and configuration compliance Cybersecurity compliance Continuous-improvement savings Technology roadmap execution Ideal Candidate The successful candidate should have strong experience in industrial robotics, factory automation, controls engineering, manufacturing engineering, robotics integration, or intelligent manufacturing, preferably within automotive, electronics, semiconductor, industrial equipment, consumer goods, logistics, or high-volume production environments. The candidate should demonstrate:Strong knowledge of industrial robotics and automated manufacturing systems. Experience managing robotic automation projects from concept through commissioning and optimization. Hands-on understanding of robot programming, motion control, tooling, fixtures, and robotic cell integration. Knowledge of PLCs, HMIs, servo systems, drives, sensors, safety systems, and industrial communication networks. Experience with robotic programming and simulation platforms. Understanding of machine vision, inspection systems, and robotic perception technologies. Experience integrating robotics with conveyors, machines, MES, SCADA, ERP, and factory automation systems. Strong understanding of industrial machinery and functional safety requirements. Experience with FAT, SAT, commissioning, validation, troubleshooting, and production ramp-up. Strong knowledge of preventive, predictive, and reliability-centered maintenance. Experience managing robotics OEMs, system integrators, suppliers, and technical contractors. Ability to evaluate automation investments, business cases, risks, and ROI. Strong analytical and problem-solving skills with experience using operational and equipment data. Experience with Lean, Six Sigma, TPM, or other continuous-improvement methodologies. Understanding of robotics cybersecurity, configuration management, and system lifecycle requirements. Strong project-management, planning, budgeting, and stakeholder-management capabilities. Excellent leadership, communication, and presentation skills. Ability to manage multiple automation projects, priorities, technical issues, and deadlines. Experience working with international and distributed engineering and operations teams. Strong interest in emerging robotics, AI, vision, autonomous systems, and smart-factory technologies.

<p>Guildhall is recruiting for AI technology company headquartered in Dubai, developing intelligent software solutions that optimize building operations, energy efficiency, and smart infrastructure. Its AI platform is deployed across commercial real estate, hospitality, and enterprise environments, helping organizations automate building management and improve operational performance. This is a unique opportunity to build the company's global ISO and compliance function from the ground up, working directly with executive leadership to establish scalable governance frameworks and implement AI-driven compliance automation across international operations. Key Responsibilities: - Lead the global implementation and management of ISO 9001:2015 and ISO/IEC 27001:2022 management systems. - Develop, implement, and maintain the company's Quality Management System (QMS) and Information Security Management System (ISMS). - Own the complete certification lifecycle, including planning, implementation, internal audits, management reviews, external certification audits, surveillance audits, and continual improvement activities. - Design and maintain quality manuals, policies, procedures, process documentation, risk registers, and compliance records. - Develop standardized governance frameworks that can be deployed across multiple international offices. - Ensure all new global operations achieve ISO certification within the company's expansion timeline. - Lead internal and external audits while coordinating with certification bodies and external auditors. - Drive process improvement initiatives using risk-based thinking and measurable quality objectives. - Develop AI-enabled compliance automation solutions to improve audit readiness, documentation, monitoring, and reporting. - Partner with Engineering, Product, Operations, IT, Legal, HR, and executive leadership to embed compliance into business operations. - Monitor regulatory changes and industry best practices affecting quality management, information security, privacy, and AI governance. - Deliver executive reporting, compliance dashboards, KPIs, and management review presentations. - Build compliance awareness across the organization through training, coaching, and continuous engagement.</p><p>Qualifications: - Bachelor's degree in Information Security, Computer Science, Engineering, Business, Quality Management, or a related discipline. - 10+ years of experience in Governance, Risk & Compliance (GRC), Information Security, Quality Management, or Compliance leadership. - Proven experience owning and managing both ISO 9001:2015 and ISO/IEC 27001:2022 within an organization. - Demonstrated hands-on experience implementing complete ISO management systems from the ground up, including: Quality manuals Process mapping Internal audits External certification audits Management reviews Corrective and preventive actions (CAPA) Continuous improvement programs - Experience maintaining certified ISO environments across multiple business units or international operations. - Strong background within technology, SaaS, cloud, fintech, AI, or digital products. - Experience working directly with executive leadership and cross-functional stakeholders. - Excellent understanding of risk management, governance frameworks, and compliance best practices. - Strong communication, stakeholder management, and leadership skills. - Professional certifications such as ISO 9001 Lead Auditor/Lead Implementer, ISO 27001 Lead Auditor/Lead Implementer, CISSP, CISM, CRISC, or equivalent are highly desirable. - Experience with AI governance frameworks (e.g., ISO 42001) or compliance automation technologies is an advantage.</p>

<p>Guildhall is recruiting for AI technology company headquartered in Dubai, developing intelligent software solutions that optimize building operations, energy efficiency, and smart infrastructure. Its AI platform is deployed across commercial real estate, hospitality, and enterprise environments, helping organizations automate building management and improve operational performance. This is a unique opportunity to build the company's global ISO and compliance function from the ground up, working directly with executive leadership to establish scalable governance frameworks and implement AI-driven compliance automation across international operations. Key Responsibilities: - Lead the global implementation and management of ISO 9001:2015 and ISO/IEC 27001:2022 management systems. - Develop, implement, and maintain the company's Quality Management System (QMS) and Information Security Management System (ISMS). - Own the complete certification lifecycle, including planning, implementation, internal audits, management reviews, external certification audits, surveillance audits, and continual improvement activities. - Design and maintain quality manuals, policies, procedures, process documentation, risk registers, and compliance records. - Develop standardized governance frameworks that can be deployed across multiple international offices. - Ensure all new global operations achieve ISO certification within the company's expansion timeline. - Lead internal and external audits while coordinating with certification bodies and external auditors. - Drive process improvement initiatives using risk-based thinking and measurable quality objectives. - Develop AI-enabled compliance automation solutions to improve audit readiness, documentation, monitoring, and reporting. - Partner with Engineering, Product, Operations, IT, Legal, HR, and executive leadership to embed compliance into business operations. - Monitor regulatory changes and industry best practices affecting quality management, information security, privacy, and AI governance. - Deliver executive reporting, compliance dashboards, KPIs, and management review presentations. - Build compliance awareness across the organization through training, coaching, and continuous engagement.</p><p>Qualifications: - Bachelor's degree in Information Security, Computer Science, Engineering, Business, Quality Management, or a related discipline. - 10+ years of experience in Governance, Risk & Compliance (GRC), Information Security, Quality Management, or Compliance leadership. - Proven experience owning and managing both ISO 9001:2015 and ISO/IEC 27001:2022 within an organization. - Demonstrated hands-on experience implementing complete ISO management systems from the ground up, including: Quality manuals Process mapping Internal audits External certification audits Management reviews Corrective and preventive actions (CAPA) Continuous improvement programs - Experience maintaining certified ISO environments across multiple business units or international operations. - Strong background within technology, SaaS, cloud, fintech, AI, or digital products. - Experience working directly with executive leadership and cross-functional stakeholders. - Excellent understanding of risk management, governance frameworks, and compliance best practices. - Strong communication, stakeholder management, and leadership skills. - Professional certifications such as ISO 9001 Lead Auditor/Lead Implementer, ISO 27001 Lead Auditor/Lead Implementer, CISSP, CISM, CRISC, or equivalent are highly desirable. - Experience with AI governance frameworks (e.g., ISO 42001) or compliance automation technologies is an advantage.</p>

About SYSCORT<br><br>Syscort is a global consulting and technology services firm based in the UAE, delivering business transformation solutions across MENA, APAC, UK, US, and Europe. We specialize in Treasury & Risk Consulting, Financial Transformation, Data & Analytics, AI & Automation, and Technology Consulting, helping organizations optimize operations, unlock insights, and build future-ready enterprises.<br><br>Role Objective<br><br>Own and improve Syscort's day-to-day operating system. The person will work across departments to identify operational problems, build processes and SOPs, implement systems, train employees, drive execution and continuously improve how the business operates.<br><br>The objective is to make Syscort less dependent on the founder and individual employees and increasingly run through clear processes, systems, automation and accountability.<br><br>Key Responsibilities<br><br> Business & Process Understanding Understand how Sales, Presales, Delivery, Finance, HR, Marketing and Administration operate. Identify bottlenecks, inefficiencies, duplication, communication gaps and founder dependencies. Map AS-IS processes and design practical TO-BE processes. Establish clear ownership, responsibilities, approvals and escalation paths. Process & SOP Implementation Create and maintain SOPs, checklists, workflows, templates and policies. Convert processes into practical operating procedures that employees can actually follow. Implement processes rather than only documenting them. Regularly review and improve SOPs based on business feedback. Hands-on Execution Take ownership of operational projects and drive them to completion. Follow up with department owners and ensure agreed actions are implemented. Resolve cross-functional operational issues. Step in where processes are unclear or ownership is missing. Build structure around areas currently dependent on the CEO. Systems & Automation Optimize Hub Spot, Rippling, project management, finance and other business systems. Identify repetitive/manual processes suitable for automation. Work with Syscort's technical team to implement workflow automation and AI. Ensure systems support the defined business process and data flows. Employee Onboarding & Training Build role-specific onboarding processes. Train new hires on SOPs, systems and workflows. Ensure employees understand their responsibilities, KPIs and escalation paths. Maintain a central knowledge base for company processes. Performance & Governance Define operational KPIs and dashboards. Monitor whether processes are being followed. Run weekly operational reviews and track action items. Identify recurring problems and drive root-cause resolution. Escalate only significant exceptions to the CEO. Continuous Improvement Continuously look for ways to reduce cost, manual work, delays and dependency on individuals. Identify opportunities to simplify, standardize and automate. Measure the impact of operational improvements.<br><br>First 90 Days<br><br>0–30 Days: Understand the business, map key processes and identify major operational bottlenecks and CEO dependencies.<br><br>31–60 Days: Implement priority processes, SOPs, ownership structures, dashboards and system improvements.<br><br>61–90 Days: Train teams, enforce processes, automate selected workflows and establish a sustainable operating cadence.<br><br>Ideal Candidate<br><br>5–10 years in Business Operations, Process Excellence, Management Consulting, PMO, Business Transformation or a similar role. Hands-on executor who is comfortable doing the work, not just managing it. Strong process mapping, SOP and project execution skills. Comfortable working across multiple departments. Strong communication and stakeholder management skills. Comfortable with CRM, HRMS, ERP, automation and AI tools. Highly organized, analytical and proactive. Able to work independently in a fast-growing company.<br><br>Success Measures<br><br>Reduced CEO involvement in routine operations. Critical processes documented and implemented. Faster and more consistent execution. Reduced operational errors and rework. Improved employee onboarding and productivity. Increased automation of repetitive work. Clear ownership and accountability across departments. Stronger management visibility through dashboards and KPIs.<br><br>This is a hands-on builder/operator role with a potential path to Head of Operations / COO as Syscort scales.

Company Description Cruq AI is an AI-native agent platform that delivers powerful automation to transform operations for enterprises and scale-ups. The platform provides a modular library of pre-built AI agents across domains such as data entry, customer service, compliance, finance, HR, healthcare, IT, legal, and retail, enabling end-to-end workflow automation. Its Agent OS supports multi-agent collaboration, flexible deployment, and integration with existing enterprise systems, delivering human-level accuracy and continuous operation. Cruq AI offers rapid deployment templates, customizable solutions, and advanced data capabilities like database integration, memory, and retrieval-augmented generation. With proven cost reductions and continuous self-improvement of agents, Cruq AI helps organizations accelerate processes, improve accuracy, and maintain a competitive edge through intelligent automation.<br>Role Description As a Research Engineer Robotics (Systems) at Cruq AI, you will design, implement, and evaluate robotic systems that leverage advanced AI agents for real-world automation. You will conduct applied research on algorithms and system architectures, develop prototypes, integrate hardware and software components, and validate performance through simulations and experiments. Day-to-day activities include collaborating with cross-functional teams, writing clean and testable code, analyzing experimental results, and iterating on system designs for robustness, safety, and scalability. You will document your work, contribute to technical publications, and support the transition from research prototypes to production-ready solutions. This is a full-time, remote role.<br>Qualifications Strong foundation in Computer Science, including data structures, algorithms, and software engineering principles. Experience in Research and Development (R&D) and applied Research for robotics, autonomous systems, or AI-driven control. Background in Physics or related fields, with understanding of dynamics, kinematics, and control systems for robotic platforms. Proficiency in designing and analyzing Algorithms for perception, planning, control, or multi-agent coordination. Hands-on experience with robotics frameworks (e.g., ROS), simulation tools (e.g., Gazebo, Isaac, Webots), and real or simulated robotic systems. Strong programming skills in languages such as Python, C++, or Rust, and familiarity with Linux-based development environments. Ability to design experiments, interpret data, and communicate findings clearly to technical and non-technical stakeholders. Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, Physics, or a related discipline. Experience with machine learning or reinforcement learning for robotics, and knowledge of systems engineering or distributed systems, is highly beneficial. Comfort working in a remote, collaborative environment, with strong problem-solving skills and a focus on

<ul><li><p>Develop and execute comprehensive test plans and test cases to validate product functionality and performance against specifications.</p></li><li><p>Identify, document, and track software defects using bug tracking systems, collaborating with development teams for timely resolution.</p></li><li><p>Design and implement automated testing frameworks and scripts to enhance testing efficiency and coverage for regression and functional testing.</p></li><li><p>Conduct thorough root cause analysis of defects, providing detailed reports and recommendations for process improvements.</p></li><li><p>Interior Fit-Out/Construction UAE Experience Mandatory Hands-on Experience in QA/QC Processes, ITPs, Material Inspections & NCR Management</p></li><li><p>Knowledge of UAE Quality Standards, Material Specifications & Consultant Approval Procedures is an Added Advantage</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Engineering, or a related technical field.</li><li>Minimum of 3-5 years of proven experience in Quality Assurance or Quality Control engineering.</li><li>Proficiency in at least one programming language (e.g., Python, Java, C#) for test automation.</li><li>Experience with test automation tools such as Selenium, Appium, or Cypress.</li></ul>

<p>Position Title: AI Implementation Officer Employment Type: Full Time Salary AED: Up to 10,000 inclusive depending on experience and qualifications Job Location: Dubai, UAE About the Client: A Dubai-based enterprise, with a continuously growing portfolio of various industries including luxury fashion, couture accessories, and lifestyle brands Job Description: § Support the planning, coordination, and deployment of AI projects, including researching and recommending suitable AI tools and solutions. § Build and implement automations using no-code/low-code platforms such as Zapier, Make (Integromat), or Microsoft Power Automate. § Collaborate with cross-functional teams to analyze workflows, identify process improvement opportunities, and integrate AI-driven solutions. § Maintain clear documentation of automations and workflows and provide regular reports and updates on project progress and outcomes.</p><p>Qualifications: § Female,aged 38 years old and below § 1–3 years of experience in a technology, operations, or process improvement role. § Hands-on experience with no-code/low-code tools (e.g., Zapier, Make, Microsoft Power Automate) and familiarity with AI tools (e.g., ChatGPT, Claude, Gemini). § Strong understanding of automation, process mapping, and prompt engineering, with exposure to Python or JavaScript, plus proficiency in project management tools (Asana, Jira, Notion, Trello) and solid analytical skills.</p>

<p>Position Title: AI Implementation Officer Employment Type: Full Time Salary AED: Up to 10,000 inclusive depending on experience and qualifications Job Location: Dubai, UAE About the Client: A Dubai-based enterprise, with a continuously growing portfolio of various industries including luxury fashion, couture accessories, and lifestyle brands Job Description: § Support the planning, coordination, and deployment of AI projects, including researching and recommending suitable AI tools and solutions. § Build and implement automations using no-code/low-code platforms such as Zapier, Make (Integromat), or Microsoft Power Automate. § Collaborate with cross-functional teams to analyze workflows, identify process improvement opportunities, and integrate AI-driven solutions. § Maintain clear documentation of automations and workflows and provide regular reports and updates on project progress and outcomes.</p><p>Qualifications: § Female,aged 38 years old and below § 1–3 years of experience in a technology, operations, or process improvement role. § Hands-on experience with no-code/low-code tools (e.g., Zapier, Make, Microsoft Power Automate) and familiarity with AI tools (e.g., ChatGPT, Claude, Gemini). § Strong understanding of automation, process mapping, and prompt engineering, with exposure to Python or JavaScript, plus proficiency in project management tools (Asana, Jira, Notion, Trello) and solid analytical skills.</p>

⚙️ We're Hiring: Equipment Engineering Manager Location: United Arab Emirates (Remote) Employment Type: Full-Time Experience Level: Mid-Level to Senior Work Arrangement: Fully Remote About UsWe are a globally focused organization committed to developing, deploying, and optimizing reliable, safe, efficient, and scalable industrial equipment and manufacturing technologies. Our teams collaborate across Manufacturing, Production, Engineering, Maintenance, Automation, Quality, Safety, Supply Chain, Procurement, Finance, Product Development, IT, and external equipment manufacturers to ensure production equipment delivers required performance throughout its lifecycle. The Role We are seeking an experienced Equipment Engineering Manager to lead the technical strategy, specification, selection, development, installation, commissioning, qualification, optimization, reliability, modernization, and lifecycle management of manufacturing and industrial equipment. The successful candidate will provide engineering leadership across production machinery, process equipment, tooling, automation interfaces, utilities-connected equipment, inspection systems, and supporting technical assets. The role will ensure equipment meets requirements for safety, quality, capacity, productivity, reliability, maintainability, flexibility, cost, and regulatory compliance. Key Responsibilities Equipment Engineering Strategy Develop and implement an equipment-engineering strategy aligned with manufacturing and business objectives. Establish standards for equipment design, selection, specification, installation, commissioning, operation, maintenance, and lifecycle management. Develop equipment-capability and modernization roadmaps. Identify equipment risks, capacity constraints, reliability gaps, and technology opportunities. Standardize equipment platforms and technical solutions where appropriate. Equipment Lifecycle Management Manage equipment throughout its lifecycle:Concept Specification Design Procurement Manufacturing Factory Acceptance Installation Commissioning Production Ramp-UpOperation Upgrade Maintenance Modernization Decommissioning Ensure lifecycle decisions consider total cost of ownership. Equipment Requirements Define detailed technical requirements for new and modified production equipment. Establish requirements for:Capacity Cycle Time Accuracy Quality Reliability Safety Maintainability Flexibility Automation Data Connectivity Energy Efficiency Documentation Equipment Specification Develop technical specifications, equipment standards, user requirements, and performance criteria. Ensure specifications are measurable and commercially enforceable. Review technical proposals against approved requirements. Equipment Selection Evaluate equipment manufacturers, OEMs, system integrators, and technical solutions. Conduct technical due diligence and supplier assessments. Compare performance, reliability, maintainability, flexibility, lifecycle cost, and technical risk. Equipment Design Review Review equipment designs throughout development. Assess:Mechanical Design Electrical Design Controls Automation Safety Maintainability Ergonomics Accessibility Production Performance Identify design risks before equipment fabrication. Design for Reliability Ensure equipment is designed for high availability and maintainability. Identify potential failure modes during design. Incorporate appropriate redundancy, diagnostics, accessibility, and condition monitoring. Design for Maintainability Ensure maintenance personnel can safely and efficiently access critical components. Minimize unnecessary maintenance complexity. Consider spare-parts availability and service requirements during equipment design. Equipment Automation Coordinate equipment automation requirements with automation and controls teams. Ensure appropriate integration of:PLCHMISCADARobotics Machine Vision Motion Control Sensors Drives Safety Systems Controls Engineering Review equipment-control architectures. Ensure control systems meet production, safety, reliability, data, and integration requirements. Establish standards for controls documentation and software backups. Robotics Integration Evaluate and integrate robotic equipment for:Assembly Welding Material Handling Machine Tending Palletizing Packaging Inspection Ensure robotic systems meet cycle-time, safety, reliability, and quality requirements. Machine Vision Lead equipment-engineering integration of machine-vision systems. Define requirements for:Inspection Identification Measurement Defect Detection Assembly Verification Ensure vision systems are appropriately validated and maintained. Production Equipment Manage engineering activities related to:CNC Machines Presses Welding Equipment Assembly Equipment Packaging Equipment Conveyors Industrial Furnaces Process Equipment Material-Handling Equipment Specialized Manufacturing Machinery Key Performance Indicators Performance may be measured through:Equipment availability Overall Equipment Effectiveness Equipment utilization Production throughput Equipment cycle time Equipment capacity Unplanned downtime Mean Time Between Failures Mean Time To Repair Equipment failure frequency Repeat-failure rate Equipment-related quality defects First-pass yield Equipment reliability Preventive-maintenance compliance Predictive-maintenance effectiveness Equipment commissioning performance Factory acceptance test performance Site acceptance test performance Production ramp-up performance Equipment project on-time delivery Equipment project budget performance CAPEX variance Equipment ROIPayback period Total cost of ownership Spare-parts availability Critical-spares stockout rate Obsolescence-risk reduction Equipment modernization progress Energy consumption per unit Equipment safety incidents Engineering-change success rate Equipment documentation completeness Software-backup compliance Vendor SLA performance Warranty-claim resolution time Equipment relocation performance Equipment lifecycle extension Maintenance cost reduction Downtime reduction Capacity improvement Productivity improvement Quality improvement Continuous-improvement savings Ideal Candidate The successful candidate should have experience in Equipment Engineering, Manufacturing Engineering, Industrial Engineering, Mechanical Engineering, Automation Engineering, Reliability Engineering, or related fields. The candidate should demonstrate:Proven experience leading equipment-engineering functions within manufacturing, industrial, automotive, electronics, engineering, or other production environments. Strong understanding of industrial and manufacturing equipment, machinery, tooling, fixtures, automation, controls, and production processes. Extensive experience with equipment specification, technical evaluation, supplier selection, installation, commissioning, qualification, optimization, and lifecycle management. Strong knowledge of mechanical, electrical, pneumatic, hydraulic, instrumentation, controls, and automation systems. Experience with PLC, HMI, SCADA, robotics, machine vision, motion control, industrial networks, and equipment integration. Strong understanding of equipment reliability, maintainability, preventive maintenance, predictive maintenance, FMEA, RCA, and reliability engineering. Experience managing Factory Acceptance Testing, Site Acceptance Testing, commissioning, production ramp-up, and equipment handover. Experience with equipment CAPEX, business cases, ROI, lifecycle costing, and total cost of ownership. Strong knowledge of machine safety, risk assessment, functional safety, guarding, interlocks, and safe equipment operation. Experience managing OEMs, system integrators, equipment suppliers, contractors, and technical consultants. Experience with equipment modernization, obsolescence management, upgrades, replacement planning, and lifecycle strategy. Strong understanding of production capacity, cycle-time optimization, throughput improvement, equipment bottleneck analysis, and OEE. Experience supporting new-product introduction, industrialization, factory expansion, new production lines, or new-factory development. Experience with Industry 4.0, Industrial IoT, digital manufacturing, predictive analytics, AI, digital twins, or connected equipment is advantageous. Strong technical documentation, engineering-change-control, configuration-management, and equipment-governance capabilities. Experience leading engineering teams and developing technical competencies. Strong analytical, troubleshooting, project-management, commercial, and problem-solving capabilities. Knowledge of UAE and GCC industrial, manufacturing, safety, and regulatory environments is advantageous. Relevant degree in Mechanical Engineering, Electrical Engineering, Mechatronics Engineering, Manufacturing Engineering, Industrial Engineering, Automation Engineering, or a related discipline. Professional certifications in engineering, reliability, automation, project management, Lean Six Sigma, safety, or asset management are advantageous. Strong written and verbal English communication skills; additional languages are advantageous. Excellent technical leadership, stakeholder-management, planning, analytical, and communication skills. Ability to translate production requirements into reliable, safe, maintainable, and commercially viable equipment solutions. Ability to balance technical performance, safety, quality, reliability, flexibility, lifecycle cost, and production requirements. Ability to manage complex equipment projects, technical risks, suppliers, budgets, and competing priorities. Ability to work independently in a fully remote and internationally distributed environment. Strong equipment-focused, engineering-led, reliability-oriented, safety-conscious, technically rigorous, manufacturing-driven, data-informed, commercially aware, innovative, practical, collaborative, and results-driven mindset.