Model Jobs - Dubai UAE

<p><strong>Cloud AI Services</strong> Hands-on production experience with Microsoft Azure AI Services including Azure OpenAI, Azure AI Foundry-related services, Azure AI Search, Azure Speech, Document Intelligence, and Content Safety and equivalent fluency with AWS AI Services, including AWS Bedrock and supporting model and content services. Familiarity with Core42 Compass for in-region inference is required. <strong>Agentic AI Frameworks</strong> Strong working knowledge of Microsoft Agent Framework and LangGraph, including agent orchestration, tool calling, skill composition, memory and state management, planning patterns, multi-agent execution topologies, and human-in-the-loop checkpoints. Ability to read and reason about agent graphs, conditional edges, retry policies, and tool schemas to diagnose execution-level issues quickly. <strong>LLM Operations</strong> Practical expertise in prompt-level troubleshooting, token consumption analysis, context-window management, model configuration tuning, endpoint health monitoring, Azure OpenAI PTU capacity and quota management, throttling and latency analysis, fallback handling, and responsible-AI controls including content filtering and safety policies. <strong>Kubernetes and Containers</strong> Deep operational experience with Azure Kubernetes Service, including Kubernetes core constructs (deployments, pods, services, ingress, namespaces, ConfigMaps, secrets), Helm-based release management, autoscaling behaviour, container troubleshooting, and Docker image lifecycle. Comfort with kubectl, kustomize, and platform-level network and identity constructs. <strong>API and MCP Gateway</strong> Strong expertise in Azure API Management, including API policies, named values, products, subscriptions, OAuth 2.0 and OpenID Connect flows, managed identities, JWT validation, rate limiting, caching, and backend routing. Working knowledge of REST APIs and event-driven integration patterns. Specific experience with the Model Context Protocol (MCP) including MCP servers, MCP clients, tool definitions, and gateway-mediated MCP patterns is highly desirable. <strong>Observability</strong> Expertise in Comet Opik for distributed agent and prompt tracing, including trace inspection, evaluation runs, drift detection, and dashboard construction. Strong working knowledge of Azure Monitor, Application Insights, Log Analytics, and AWS CloudWatch, with the ability to construct correlated views across logs, metrics, traces, and business indicators using correlation identifiers. <strong>DevOps and Automation</strong> Comfort with Git-based workflows, CI/CD pipelines (GitLab CI/CD or Azure DevOps), infrastructure as code (Terraform or Bicep), release automation, and deployment validation. Strong scripting in Python, PowerShell, and Bash for operational tooling, log mining, and remediation automation. <strong>Voice AI</strong> Working experience with ElevenLabs APIs and SDKs, voice-agent integrations, real-time audio processing, session-level troubleshooting, latency and audio-quality analysis, and integration with conversational AI and telephony layers. <strong>Security and Governance</strong> Hands-on experience with Microsoft Entra ID, RBAC, managed identities, Azure Key Vault, secrets and certificate management, private networking and Private Link, vulnerability management, audit logging, data protection controls, and AI governance frameworks including model access management and responsible-AI policy enforcement. <strong>Service Management</strong> Practical application of ITIL practices including incident management, problem management, change management, service requests, SLA and OLA management, root-cause analysis, and major incident management within an enterprise service-management toolset such as ServiceNow. </p><p><strong>Desired Candidate Profile</strong></p><p>The following certifications are considered desirable: ▪ Microsoft Azure Administrator or Azure Solutions Architect Expert ▪ Microsoft Azure AI Engineer Associate ▪ AWS Solutions Architect or AWS Certified Machine Learning Specialty ▪ Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD) ▪ ITIL Foundation or higher ▪ DevOps, Site Reliability Engineering, Cybersecurity, or AI Governance certifications from a recognized body </p>

<p>The AI & Innovation Lab requires a Senior AI Forward Deployed Engineer to embed directly with operational teams across terminal operations, gate and yard planning, trade documentation, logistics and economic zones. The resource will scope, build and deploy production AI solutions against live operational problems and lead cross-functional delivery squads drawn from the business and IT without formal authority.</p><p>The role will take LLM, RAG and agentic AI solutions from prototype to embedded production, including security review, data-governance alignment and operational handover. The resource will build reusable production accelerators, prompt and agent templates, reference architectures, and internal libraries to reduce delivery time for subsequent AI projects.</p><p>The position will also establish the Lab’s MLOps/AIOps foundation, including CI/CD for models and agents, model registries, evaluation pipelines, monitoring, versioning and deployment standards. The engineer will define engineering standards, responsible-AI guardrails and repeatable delivery playbooks that can be adopted across the wider organization.</p><p>This role is required to deliver live AI systems within port, zone and logistics operations; improve AI quality through automated and human evaluation; and optimize production AI performance, latency and operating cost. The requirement supports DP World’s direction toward reusable, scalable and value-driven AI capabilities, with regional delivery aligned to enterprise governance and standards.</p><br><p><strong>Responsibilities:</strong></p><ol><li><p>Operate through a forward-deployed model by working directly with operational teams where the business problem exists. 2. Cover live use cases across terminal operations, gate and yard planning, trade documentation, logistics and economic zones.</p></li><li><p>Translate ambiguous operational requirements into an AI product scope, delivery plan and production solution.</p></li><li><p>Build and deploy LLM-based and agentic systems, including RAG, orchestration and multi-step agent workflows.</p></li><li><p>Own the full production path: security, data governance, testing, deployment, operational handover and ongoing improvement.</p></li><li><p>Lead mixed teams of engineers, analysts and operational staff without formal authority and carry the technical argument with senior stakeholders.</p></li><li><p>Build concrete reusable assets rather than presentations: production accelerators, prompt/agent templates, reference architectures and internal libraries.</p></li><li><p>Establish the MLOps/AIOps platform foundation for deploying, evaluating, monitoring and versioning models and agents.</p></li><li><p>Create delivery playbooks and a documented, repeatable methodology that the wider organization can run.</p></li><li><p>Measure real-world AI quality through automated and human evaluation: groundedness, hallucination detection, task success, latency, safety and business KPIs.</p></li><li><p>Apply A/B testing and continuous regression testing so production systems improve over time.</p></li><li><p>Optimize production AI cost through model selection/routing, prompt and token-usage optimization, caching and inference-cost management while balancing performance and latency. 13. Deliver live AI systems operating inside port, zone and logistics operations against real cargo, gates and trade flows.</p></li><li><p>Work directly with business-unit leaders; the Lab reports into senior leadership and has a mandate to move quickly from validated idea to production decision.</p></li></ol><p><strong>Desired Candidate Profile</strong></p><p>Senior, hands-on engineer who ships, with recent<strong> production AI delivery </strong>experience. <strong>Production LLM and agentic AI: RAG,</strong> orchestration and multi-step agent workflows. <strong>MLOps depth</strong>: CI/CD, model registries, monitoring and evaluation pipelines. <strong>Strong Python </strong>and modern software-engineering practice. <strong>GCC Experience & Arabic capability</strong> Consulting-adjacent skills to work with non-technical operational stakeholders, identify the real problem and manage delivery end to end. Self-driven with minimal direction: scope the work, set the plan and drive it to production without waiting for a brief. Technical leadership without formal authority across engineers, analysts and operational staff; ability to set adopted standards and influence senior stakeholders. Strong product mindset: user feedback, feature prioritization, technical trade-offs and adoption. Deep AI evaluation expertise: groundedness, hallucination detection, task success, latency, safety, business KPIs, A/B testing and continuous regression testing. </p>

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced heads of support operations who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for heads of support operations with 4+ years leading customer success or support operations teams to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: customer health-score dashboards, renewal risk scorecards, quarterly business review decks, escalation runbooks, onboarding and adoption playbooks, and voice-of-customer synthesis briefs.<br><br>Compensation: $70/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 4+ years owning customer success or support operations for a B2B Saa S or services organization, including ownership of health-score models and renewal forecasting Proven ability to translate messy support and usage data into quarterly business review decks and escalation runbooks that executives and customers both trust Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>4+ years owning customer success or support operations for a B2B Saa S or services organization, including ownership of health-score models and renewal forecasting Proven ability to translate messy support and usage data into quarterly business review decks and escalation runbooks that executives and customers both trust Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced customer experience managers who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for customer experience managers with 4+ years leading customer success or support operations teams to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: customer health-score dashboards, renewal risk scorecards, quarterly business review decks, escalation runbooks, onboarding and adoption playbooks, and voice-of-customer synthesis briefs.<br><br>Compensation: $70/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 4+ years owning customer success or support operations for a B2B Saa S or services organization, including ownership of health-score models and renewal forecasting Proven ability to translate messy support and usage data into quarterly business review decks and escalation runbooks that executives and customers both trust Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>4+ years owning customer success or support operations for a B2B Saa S or services organization, including ownership of health-score models and renewal forecasting Proven ability to translate messy support and usage data into quarterly business review decks and escalation runbooks that executives and customers both trust Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced directors of customer success who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for directors of customer success with 4+ years leading customer success or support operations teams to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: customer health-score dashboards, renewal risk scorecards, quarterly business review decks, escalation runbooks, onboarding and adoption playbooks, and voice-of-customer synthesis briefs.<br><br>Compensation: $70/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 4+ years owning customer success or support operations for a B2B Saa S or services organization, including ownership of health-score models and renewal forecasting Proven ability to translate messy support and usage data into quarterly business review decks and escalation runbooks that executives and customers both trust Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>4+ years owning customer success or support operations for a B2B Saa S or services organization, including ownership of health-score models and renewal forecasting Proven ability to translate messy support and usage data into quarterly business review decks and escalation runbooks that executives and customers both trust Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced support operations managers who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for support operations managers with 4+ years leading customer success or support operations teams to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: customer health-score dashboards, renewal risk scorecards, quarterly business review decks, escalation runbooks, onboarding and adoption playbooks, and voice-of-customer synthesis briefs.<br><br>Compensation: $70/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 4+ years owning customer success or support operations for a B2B Saa S or services organization, including ownership of health-score models and renewal forecasting Proven ability to translate messy support and usage data into quarterly business review decks and escalation runbooks that executives and customers both trust Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>4+ years owning customer success or support operations for a B2B Saa S or services organization, including ownership of health-score models and renewal forecasting Proven ability to translate messy support and usage data into quarterly business review decks and escalation runbooks that executives and customers both trust Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced vps of customer success who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for vps of customer success with 4+ years leading customer success or support operations teams to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: customer health-score dashboards, renewal risk scorecards, quarterly business review decks, escalation runbooks, onboarding and adoption playbooks, and voice-of-customer synthesis briefs.<br><br>Compensation: $70/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 4+ years owning customer success or support operations for a B2B Saa S or services organization, including ownership of health-score models and renewal forecasting Proven ability to translate messy support and usage data into quarterly business review decks and escalation runbooks that executives and customers both trust Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>4+ years owning customer success or support operations for a B2B Saa S or services organization, including ownership of health-score models and renewal forecasting Proven ability to translate messy support and usage data into quarterly business review decks and escalation runbooks that executives and customers both trust Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced customer success managers who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for customer success managers with 4+ years leading customer success or support operations teams to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: customer health-score dashboards, renewal risk scorecards, quarterly business review decks, escalation runbooks, onboarding and adoption playbooks, and voice-of-customer synthesis briefs.<br><br>Compensation: $70/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 4+ years owning customer success or support operations for a B2B Saa S or services organization, including ownership of health-score models and renewal forecasting Proven ability to translate messy support and usage data into quarterly business review decks and escalation runbooks that executives and customers both trust Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>4+ years owning customer success or support operations for a B2B Saa S or services organization, including ownership of health-score models and renewal forecasting Proven ability to translate messy support and usage data into quarterly business review decks and escalation runbooks that executives and customers both trust Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced senior customer success leads who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for senior customer success leads with 4+ years leading customer success or support operations teams to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: customer health-score dashboards, renewal risk scorecards, quarterly business review decks, escalation runbooks, onboarding and adoption playbooks, and voice-of-customer synthesis briefs.<br><br>Compensation: $70/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 4+ years owning customer success or support operations for a B2B Saa S or services organization, including ownership of health-score models and renewal forecasting Proven ability to translate messy support and usage data into quarterly business review decks and escalation runbooks that executives and customers both trust Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>4+ years owning customer success or support operations for a B2B Saa S or services organization, including ownership of health-score models and renewal forecasting Proven ability to translate messy support and usage data into quarterly business review decks and escalation runbooks that executives and customers both trust Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

Job title: Data Engineer — Real-Time Building Telemetry Company: Info Labs Global Location: Dubai, United Arab Emirates (on-site) Employment type: Contract / Project-Based engagement Eligibility: Candidates must already be residing in the UAE with a valid residence visa About the role Dozens of subsystems, thousands of points, inconsistent naming, mixed units. You'll turn that into a clean, normalised, queryable data model that the twin and its analytics depend on. What you'll do Design the canonical data model and tagging standard for building assets and telemetry Build ETL/ELT pipelines for both real-time streams and batch/historical loads Implement normalisation, unit conversion, deduplication, and data quality validation Manage retention, aggregation, and downsampling strategies for time-series data Support analytics and reporting requirements — KPIs, energy trends, utilisation, SLA metrics Monitor pipeline health and data completeness What you'll bring4+ years in data engineering with strong SQL and Python Hands-on experience with time-series data and streaming pipelines Practical data-mapping experience across heterogeneous source systems Familiarity with ETL tooling and orchestration (Airflow, NiFi, or equivalent) Rigour about data quality — you validate rather than assume Nice to have Exposure to semantic tagging standards such as Brick Schema or Project Haystack Analytics/BI layer experience (Power BI, Grafana, Superset) Location & engagement Based in Dubai, UAE — on-site at Info Labs Global and at the client facility as the project requires Project-based engagement for the duration of the Digital Twin program, with extension subject to project pipeline Applicants must currently be in the UAE with a valid residence visa. We are not sponsoring relocation for this program, and candidates who cannot join within a short notice period will not be considered.

Job title: Data Engineer — Real-Time Building Telemetry Company: Info Labs Global Location: Dubai, United Arab Emirates (on-site) Employment type: Contract / Project-Based engagement Eligibility: Candidates must already be residing in the UAE with a valid residence visa About the role Dozens of subsystems, thousands of points, inconsistent naming, mixed units. You'll turn that into a clean, normalised, queryable data model that the twin and its analytics depend on. What you'll do Design the canonical data model and tagging standard for building assets and telemetry Build ETL/ELT pipelines for both real-time streams and batch/historical loads Implement normalisation, unit conversion, deduplication, and data quality validation Manage retention, aggregation, and downsampling strategies for time-series data Support analytics and reporting requirements — KPIs, energy trends, utilisation, SLA metrics Monitor pipeline health and data completeness What you'll bring4+ years in data engineering with strong SQL and Python Hands-on experience with time-series data and streaming pipelines Practical data-mapping experience across heterogeneous source systems Familiarity with ETL tooling and orchestration (Airflow, NiFi, or equivalent) Rigour about data quality — you validate rather than assume Nice to have Exposure to semantic tagging standards such as Brick Schema or Project Haystack Analytics/BI layer experience (Power BI, Grafana, Superset) Location & engagement Based in Dubai, UAE — on-site at Info Labs Global and at the client facility as the project requires Project-based engagement for the duration of the Digital Twin program, with extension subject to project pipeline Applicants must currently be in the UAE with a valid residence visa. We are not sponsoring relocation for this program, and candidates who cannot join within a short notice period will not be considered.

Job Description<br><br>Job Title: Rust Developer<br><br>Job Type: Contract<br><br>Location: Remote<br><br>Job Summary: Join our customer's team as an experienced Backend Developer. In this high-impact, remote role, you'll design, implement, and continually improve robust backend APIs while collaborating with cutting-edge AI research. You'll help test and shape the next generation of developer tools alongside a high-caliber engineering group.<br><br>Key Responsibilities<br><br>Design, develop, and optimize REST and Graph QL endpoints for scalable APIs. Drive data validation, error handling, and security best practices within backend services. Plan and execute database migrations, optimizations, and schema changes as needed. Actively test new AI-powered models in Cursor, providing actionable feedback via incident reports, bug traces, and screenshots. Participate in 4-day intensive testing bursts, exploring how AI models impact real coding workflows. Engage thoughtfully with the research team in a dedicated Slack channel to discuss findings and propose improvements. Submit detailed post-burst surveys, delivering insights on model performance and developer experience.<br><br>Required Skills And Qualifications<br><br>5+ years of professional experience as a backend developer, with strong expertise in Rust. Proficient in building and maintaining RESTful and Graph QL APIs. Advanced understanding of backend data validation, error handling, and API security. Hands-on experience with database migrations, performance tuning, and schema design. Extensive use of AI tools for coding; familiarity with Cursor is highly desirable. Outstanding written and verbal communication skills, with a knack for clear incident and bug reporting. Proven ability to thrive in fast-paced, confidential, and collaborative remote environments.<br><br>Preferred Qualifications<br><br>Visible contributions to open source (e.g., Git Hub stars or contributions). Experience designing or evaluating experimental tooling and developer workflows. Demonstrated enthusiasm for AI advancements in software development.

Global Head of DTCA fast-growing fashion and lifestyle group is looking for someone to run its owned digital business as a real P&L, not a marketing line item. The company isn't named at this stage; this is a confidential search, and full details go to shortlisted candidates only.<br>If your background is "CMO who has actually run the numbers behind a digital business," this is worth a conversation. If your experience is managing a marketing budget without owning revenue and contribution, it won't be the right fit.<br>Responsibilities:Full ownership of the webshop P&L, with weekly trading calls as your rhythm Deciding where investment goes and what the growth plan looks like Taking international expansion into new markets yourself, until it's big enough to warrant a dedicated hire Holding external agencies accountable, budgets, targets, and what happens when they miss Getting Trading, Content, Creator, Paid, CRM and Digital Product all pulling in one direction Owning the numbers that matter: acquisition cost, contribution on first order, repeat purchase rate, lifetime value Hiring your leadership layer, starting with a VP/Director for Growth Content & Creator Commerce as your key lieutenant<br>What we are looking for:Someone who has actually owned a DTC or e-commerce P&L before, revenue and contribution, not just a marketing spend line Genuine, current hands-on use of AI in how you work, not familiarity or enthusiasm. This gets tested directly and specifically in interviews A track record of scaling a digital consumer business through a similar growth curve, ideally from tens of millions upward Someone who has built things lean, from nothing, rather than stepped into an existing team and budget A real sense for fashion, sportswear or similar premium consumer categories, brand and culture included. Creator-led commerce experience is a strong plus Based in Dubai, or genuinely ready to relocate

<p>Position Title: Sales Associate Employment Type: Full Time Salary AED: up to 6,000 inclusive depending on experience and qualifications Job Location: Dubai, UAE About the Client: A global brand of ladies and children’s fashion, known for its exquisite style with a boutique presence in Dubai Job Description: § Deliver great customer service in line with the brand standards. § Ensure excellent product knowledge of both women’s and children’s collections to ensure clients satisfaction. § Support daily store operations including stock handling, POS transactions, and general audit. § Meet and exceed individual and store sales targets.</p><p>Qualifications: § Female, Arabic speakers only , aged 20–38 years old. § Minimum 1 year of UAE experience as a Sales Associate in a premium/luxury fashion retail brand. § Strong communication and customer service skills with the ability to handle international clients and VIP customers. § Knowledge of women’s and children’s fashion collections, POS transactions, stock handling, and retail store operations. </p>

<p>Position Title: Sales Associate Employment Type: Full Time Salary AED: up to 6,000 inclusive depending on experience and qualifications Job Location: Dubai, UAE About the Client: A global brand of ladies and children’s fashion, known for its exquisite style with a boutique presence in Dubai Job Description: § Deliver great customer service in line with the brand standards. § Ensure excellent product knowledge of both women’s and children’s collections to ensure clients satisfaction. § Support daily store operations including stock handling, POS transactions, and general audit. § Meet and exceed individual and store sales targets.</p><p>Qualifications: § Female, Arabic speakers only , aged 20–38 years old. § Minimum 1 year of UAE experience as a Sales Associate in a premium/luxury fashion retail brand. § Strong communication and customer service skills with the ability to handle international clients and VIP customers. § Knowledge of women’s and children’s fashion collections, POS transactions, stock handling, and retail store operations. </p>

<p>&nbsp;</p><h3>Job Description</h3><h4>Role Overview</h4><p>You will be the voice of <strong>Wow Fashions</strong> for Arabic-speaking customers across the GCC, delivering exceptional customer service while providing knowledgeable advice on modest fashion. This is a remote position with occasional in-office attendance in Dubai or Sharjah.</p><h3>Key Responsibilities</h3><h4>Customer Care &amp; Resolution</h4><ul><li>Respond to customer inquiries via WhatsApp, phone, email, and social media in Arabic and English.</li><li>Handle order inquiries, sizing guidance, delivery tracking, returns, and exchanges.</li><li>Resolve customer complaints professionally and escalate complex cases when necessary.</li></ul><h4>Product &amp; Style Advisory</h4><ul><li>Advise customers on garment selection, fit, fabrics, styling, and occasion suitability.</li><li>Provide accurate information about the company's collections and sub-brands.</li><li>Help customers make confident purchasing decisions while minimizing returns.</li></ul><h4>Experience &amp; Brand Protection</h4><ul><li>Maintain the appropriate communication style for each brand.</li><li>Follow company guidelines regarding offers, discounts, and brand messaging.</li><li>Report recurring customer inquiries and feedback to the internal team.</li></ul><h4>Operational Support</h4><ul><li>Record customer interactions accurately in the CRM (Zoho).</li><li>Coordinate with logistics and internal teams regarding orders and deliveries.</li><li>Support post-purchase follow-up and customer retention activities when required.</li></ul><h3>Work Arrangement &amp; Compensation</h3><ul><li><strong>Work Type:</strong> Remote (Work from Home) with occasional visits to the Dubai Office / Sharjah Facility.</li><li><strong>Employment Type:</strong> Part-Time or Full-Time.</li><li><strong>Salary:</strong> AED 1,500–3,000 per month (based on experience).</li><li><strong>Visa:</strong> Candidate must already hold valid UAE residency (no visa sponsorship).</li><li><strong>Reports To:</strong> Operations Lead.</li></ul><h3>Skills</h3><h4>Required Qualifications</h4><ul><li>Native or fluent Arabic (Khaleeji dialect preferred) and professional English.</li><li>Strong knowledge of GCC modest women's fashion, including abayas, occasion wear, and traditional/contemporary garments.</li><li>Excellent written and verbal communication skills.</li><li>Professional, patient, and customer-focused approach.</li><li>Ability to work independently from home with reliable internet access.</li><li>Availability during GCC business hours.</li><li>Ability to attend the Dubai Office / Sharjah Facility when required.</li><li>Valid UAE residency is required.</li></ul><h4>Preferred Qualifications</h4><ul><li>Previous experience in customer service, retail, or personal styling.</li><li>Familiarity with e-commerce platforms, WhatsApp Business, or CRM systems.</li><li>Based in or near Dubai or Sharjah.</li></ul><h3>Preferred Candidate</h3><ul><li><strong>Gender:</strong> Female</li><li><strong>Career Level:</strong> Entry Level</li></ul><p>&nbsp;</p>

Job Purpose To act as the interface with stakeholders, ensuring the delivery of both their service requirements and those of Procurement. To lead and manage high-spend and crucial category sourcing activities in a timely and cost-effective manner, while meeting group standards and department objectives. Key External Relationships External suppliers, vendors, service providers and business stakeholders involved in sourcing, procurement, negotiation and contract management activities. Essential Roles and Responsibilities Strategic Roles and Responsibilities Add value to the business through strategic sourcing practices that assess internal and external criteria and inputs to drive sourcing strategy. Drive strategic category sourcing strategies, implementing and maintaining risk analysis and mitigating actions to protect stakeholders. Coordinate all required activities within the assigned category of spend to achieve the lowest possible total cost of acquisition / ownership, while matching business expectations in terms of quality and timelines. Ensure full compliance of all sourcing activities with internal policies and procedures. Functional Roles and Responsibilities Stakeholder Management Build relationships with internal stakeholders to proactively plan sourcing activities related to the assigned category of spend. Clarify and negotiate scope of work with internal stakeholders, ensuring the real needs of the business are tendered and not only the wants, by shaping demand and compliance where appropriate. Understand stakeholder / business unit requirements, including business goals, targets, initiatives, direction and supplier performance requirements for their categories. Challenge demand and requirements and manage customer expectations to ensure compliance and drive continuous improvement. Communicate appropriate procurement messages regarding strategies, processes and policies to customers to ensure compliance and support a common understanding of each other’s goals and targets. Compliance Ensure that the end-to-end sourcing process is performed with full transparency, integrity and confidentiality as and when required. Sourcing Translate requirements / scope of work into Request for Information / Request for Proposals. Create and execute RFIs, RFPs and RFQs, together with subsequent structured information analysis wherever possible using the corporate e-sourcing platform. Negotiation Planning and Execution Create detailed pre-negotiation plans, lead and participate in prolonged negotiation sessions with suppliers, and conduct post-negotiation debriefs and follow-through plans. Cost Modeling and Savings Construct detailed cost models / purchase price analysis of goods and services supplied to the Company, typically requiring extensive supplier discussions to create a complete understanding of supplier cost structures. Negotiate best cost, terms and conditions against the final approved scope and shortlisted vendor(s). Contract Management Prepare, finesse and implement appropriate forms of contract and commitment with suppliers. Manage and evaluate contractual agreement terms to ensure compliance in conjunction with Legal and the business unit. Supplier / Vendor Performance Management Ensure that appropriate supplier agreements and relationships have a good supplier matrix embedded within them. Monitor, report, manage and continuously improve supplier performance. Perform quarterly vendor performance reviews with key vendors. Research and Analytics Analyze and report procurement spend across the business to craft sourcing strategies that result in value-adding outcomes beyond savings. Conduct detailed supplier and supply market analysis using facts, data analysis, reports and technology changes, with the objective of providing deep and meaningful insight to stakeholders and sourcing management teams. Create / establish external benchmark analysis, including gap analysis and required actions to achieve competitive advantage. People Management Roles and Responsibilities Manage and coach sourcing specialists and procurement executives. Coach other Sourcing Managers for the leading categories they cover. Allocate activities and projects to team members and supervise execution. Ensure that direct report team members strictly comply with Group procurement processes and policies. Help team members develop technical knowledge and best-practice know-how for the assigned spend category. Job Requirements Education / Certification and Continued Education Graduate in any discipline, preferably with a Finance or Engineering background. MBA preferred. Years of Experience Minimum 7 years’ experience in a similar role within a procurement function. Experience within the UAE and in a centralized procurement model is preferred. Knowledge and Skills Detailed technical understanding of the assigned commodity / category of spend. Strong influencing and facilitation skills to act as the interface between stakeholders / business units and Procurement, balancing customer requirements with the need to adhere to designated procedures. Detailed technical understanding of the assigned commodities / categories of spend. Critical thinking and problem-solving skills. Strong project management skills, showcasing the ability to plan, mobilize and manage a sourcing project, with the ability to solve showstoppers and other potential derailing issues. Outstanding relationship management skills, both internal and external. Analytical and negotiation skills. Market understanding of vendor capabilities, should-costs, supply chain and related areas. Experience with ERPs is a must, preferably Oracle or JD Edwards. Experience with SAP Ariba sourcing is desired. Direct, hands-on experience managing the IT/Technology category specifically, rather than general procurement with occasional IT exposure. Proven people management experience, including direct management of sourcing specialists and analysts. Track record of operating within a centralized procurement model.<br>Category-Specific Technical Knowledge (IT/Technology) Software licensing and Saa S commercial models (per-user, consumption-based, and enterprise agreements). Cloud/hyperscaler contracts (AWS, Azure, GCP), including consumption commitments, and EDPs. IT outsourcing and managed services. Hardware and telecom/network services sourcing; Call Center Services (CCAAS). Cybersecurity and data privacy contract clauses, particularly within IT MSAs and SOWs. Familiarity with major vendor commercial tactics (Microsoft, Oracle, SAP, Cisco, etc.), including license audits, true-ups, and EA renewals

<p>Position Title: Store Manager - Men’s Wear Employment Type: Full Time Salary: up to 20K AED 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: -Lead, mentor, and motivate a team of sales associates to deliver a world-class luxury shopping experience. Ensure sales targets and KPIs are consistently met or exceeded. -Manage daily store operations including inventory control, staffing, scheduling, and compliance with company policies. -Represent the brand at events, product launches, and within the community. Collaborate with regional management on marketing initiatives and business planning. -Maintain and enforce the brand’s standards in merchandising, visual presentation, and customer service</p><p>Qualifications: -Male, Open to 38 yrs old and below -Minimum 5 years of experience in luxury retail, with a strong focus on Luxury Men's Wear / Men's Fashion is required -Excellent grooming and professional presentation suitable for a luxury fashion environment -Expert-level clienteling skills with proven experience managing VIP / high-net-worth clients</p>

<p>We are seeking a dedicated and detail-oriented Storekeeper to manage and maintain inventory ensuring accurate stock levels, and supporting sales teams in a fast paced fashion retail environment. </p><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Display merchandise and maintains orderliness in the stockroom by emphasizing quality.</p></li></ul><p>color, sizes, codes and styles in order to retrieves stocks easily and assist in coding and price</p><p>marking of merchandise for sale on floor.</p><ul><li><p>Coordinate and Participate in the selling of merchandise and preparation of goods in open and close store.</p></li><li><p>Maintain the cleanliness, orderliness and FIFO(First In First Out) systems of all the stocks to avoid wastages.</p></li><li><p>To check and receive purchased materials forwarded by the receiving department and to arrange for the storage in appropriate places.</p></li></ul><p>EXPERIENCE :</p><ul><li><p>Proven experience as a storekeeper in the fashion industry.</p></li><li><p>Basic Knowledge of fashion industry.</p></li><li><p>Inventory management skill.</p></li><li><p>Attention to detail and organizational skills.</p></li><li><p>Ability to work in a fast paced environment.</p></li><li><p>Basic computer skill.</p></li></ul><p>Skills :</p><ul><li><p>Inventory Control.</p></li><li><p>Vendor Management.</p></li><li><p>Stock Management.</p></li><li><p>Visual Merchandising.</p></li><li><p>Teamwork.</p></li><li><p>Communication.</p></li></ul>

<p>We are seeking a dedicated and detail-oriented Storekeeper to manage and maintain inventory ensuring accurate stock levels, and supporting sales teams in a fast paced fashion retail environment. </p><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Display merchandise and maintains orderliness in the stockroom by emphasizing quality.</p></li></ul><p>color, sizes, codes and styles in order to retrieves stocks easily and assist in coding and price</p><p>marking of merchandise for sale on floor.</p><ul><li><p>Coordinate and Participate in the selling of merchandise and preparation of goods in open and close store.</p></li><li><p>Maintain the cleanliness, orderliness and FIFO(First In First Out) systems of all the stocks to avoid wastages.</p></li><li><p>To check and receive purchased materials forwarded by the receiving department and to arrange for the storage in appropriate places.</p></li></ul><p>EXPERIENCE :</p><ul><li><p>Proven experience as a storekeeper in the fashion industry.</p></li><li><p>Basic Knowledge of fashion industry.</p></li><li><p>Inventory management skill.</p></li><li><p>Attention to detail and organizational skills.</p></li><li><p>Ability to work in a fast paced environment.</p></li><li><p>Basic computer skill.</p></li></ul><p>Skills :</p><ul><li><p>Inventory Control.</p></li><li><p>Vendor Management.</p></li><li><p>Stock Management.</p></li><li><p>Visual Merchandising.</p></li><li><p>Teamwork.</p></li><li><p>Communication.</p></li></ul>