Model Jobs in UAE

Role: Cybersecurity Consultant (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $40 - $65/hour<br>Role Overview:We are hiring for one of our clients, seeking a LLM Red-Teamer to work on a contract basis. The role involves identifying vulnerabilities and improving the robustness of large language models through adversarial testing. Candidates will design and execute red-teaming scenarios to probe model behavior under edge cases and malicious inputs.<br>Key Responsibilities:• Design and implement red-teaming strategies to uncover weaknesses in LLM outputs, including bias, toxicity, and factual inaccuracies.• Develop automated and manual testing frameworks to simulate adversarial attacks on AI models.• Document findings in structured reports, highlighting risks and recommending mitigations.• Collaborate with AI safety researchers to refine testing protocols based on emerging threats.• Stay current with advancements in AI security, prompt injection techniques, and jailbreak methodologies.<br>Required Skills & Qualifications:• Experience with adversarial testing of LLMs, including prompt engineering and attack simulations.• Proficiency in Python and familiarity with AI/ML frameworks such as Hugging Face or PyTorch.• Knowledge of cybersecurity principles, particularly those relevant to AI systems.• Ability to analyze model outputs for bias, toxicity, and hallucinations.• Strong written communication skills for documenting vulnerabilities and recommendations.• Familiarity with ethical AI guidelines and responsible AI development practices.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the advancement of safer AI systems. The position involves direct impact on model deployment decisions by identifying critical failure modes before public release.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Azure AI Engineer - Abu Dhabi - 12 Month Contract <br>Location: Abu Dhabi, UAE – Onsite Contract: 12 months Salary: AED 18,000–20,000 per month Benefits: Employment visa and healthcare provided<br>Our Consultancy client is seeking an experienced Azure AI/ML Engineer to join a major healthcare technology programme in Abu Dhabi.<br>You will be responsible for designing, building, deploying and supporting production-grade AI, machine learning, generative AI, computer vision and agentic workflow solutions. This role will focus on transforming data science prototypes and clinical innovation concepts into secure, scalable and reliable AI services integrated with healthcare data platforms, clinical systems and digital applications.<br>Required Experience Strong production-level software engineering experience using Python. Experience with an additional programming language such as C#, Java, Scala, Go or Type Script. Hands-on experience building, deploying and supporting production AI, ML or Gen AI solutions. Strong knowledge of frameworks such as PyTorch, Tensor Flow, Keras, scikit-learn and Hugging Face. Experience with MLOps or LLMOps, including CI/CD, MLflow, model registries, experiment tracking and model monitoring. Azure cloud experience, ideally including:Azure Machine Learning Azure AI Foundry Azure Open AIAKS/Kubernetes Docker Azure Databricks Microsoft Fabric Azure Data Lake Azure Key Vault Terraform or other infrastructure-as-code tools Experience with RAG, embeddings, vector databases, prompt management, guardrails and agent orchestration.<br>Key Responsibilities Design and deliver secure, scalable and maintainable production AI and machine learning services. Develop batch, real-time, streaming, API-based and event-driven AI architectures. Build reusable ML platform capabilities, including experiment tracking, feature stores, vector stores, model registries and automated deployment pipelines. Containerise, deploy and scale machine learning, deep learning, computer vision and generative AI models. Optimise model performance, latency, GPU utilisation, throughput and cloud costs. Build ML-ready data pipelines using SQL, Spark, lakehouse and streaming technologies. Develop secure LLM applications using Azure Open AI, Azure AI Foundry, RAG, embeddings, vector search and agentic AI. Implement MLOps and LLMOps practices, including CI/CD, Git Ops, automated testing, model monitoring, retraining triggers and rollback strategies. Deploy computer vision and multimodal AI solutions for medical imaging, clinical video and document processing. Develop APIs, microservices, SDKs and integration services that embed AI outputs into clinical and operational applications. Monitor model performance, data drift, hallucination, grounding, latency, service health and cost. Implement responsible AI, security, privacy, audit logging and healthcare data protection controls. Work closely with data scientists, clinicians, cloud engineers, cybersecurity specialists and product teams.

<p>TAILORING ASSISTANT</p> <p>A growing fashion and garment business is seeking a dedicated Tailoring Assistant to support daily tailoring operations and assist with garment preparation and finishing tasks. This is a great opportunity for individuals interested in clothing, fashion, and craftsmanship. Freshers are welcome to apply, and guidance will be provided for suitable candidates.</p> <p>Your Role</p> <p>As a Tailoring Assistant, you will support tailors with garment preparation, fabric handling, alterations, and maintaining a smooth workflow within the tailoring section.</p> <p>Duties &amp; Responsibilities<br /> Assist with fabric preparation and garment handling<br /> Support stitching, alteration, and finishing activities<br /> Help with measuring, marking, and arranging materials<br /> Organize fabrics, tools, and tailoring equipment<br /> Check garments for quality and finishing standards<br /> Maintain a clean and organized work area<br /> Support senior tailors with daily tasks<br /> Perform other tailoring-related duties as assigned<br /> Candidate Profile<br /> Freshers can apply<br /> Interest in tailoring, fashion, or garment work<br /> Willingness to learn stitching and alteration skills<br /> Good attention to detail<br /> Hardworking and responsible attitude<br /> Ability to work well with a team<br /> Benefits<br /> Attractive salary package<br /> Visa provided as per UAE Labor Law<br /> Medical insurance and other company benefits<br /> Career advancement opportunities<br /> Professional and supportive working environment<br /> Apply Now</p> <p>Job Title: Tailoring Assistant<br /> Job Type: Full-Time<br /> Location: UAE</p> <p>Interested candidates may send their CV via WhatsApp:</p> <p>+971529456306</p> <p>Only shortlisted candidates will be contacted for the interview process.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Role Overview</b></p><p>You are the voice of Wow Fashions to our Arabic-speaking customers across the GCC. You combine warm, culturally fluent customer care with genuine product and garment expertise — advising women on our modest fashion pieces the way a knowledgeable friend would, resolving issues before they escalate, and protecting the premium experience our brand promises. This is a remote role with occasional in-office presence.</p><p><br></p><p><b>Key Responsibilities</b></p><p><b>Customer Care &amp; Resolution</b></p><p>•&nbsp;&nbsp;Respond to customer inquiries across WhatsApp, phone, email, and social channels in fluent Arabic and English.</p><p>•&nbsp;&nbsp;Handle order questions, sizing guidance, delivery tracking, returns, and exchanges end-to-end.</p><p>•&nbsp;&nbsp;Resolve complaints with composure and escalate only what genuinely requires it.</p><p><b>Product &amp; Style Advisory</b></p><p>•&nbsp;&nbsp;Advise customers on garment selection, fit, fabric, styling, and occasion suitability.</p><p>•&nbsp;&nbsp;Speak with authority about our sub-brands, collections, and the cultural context of the pieces we sell.</p><p>•&nbsp;&nbsp;Guide customers toward confident purchase decisions, reducing hesitation and returns.</p><p><b>Experience &amp; Brand Protection</b></p><p>•&nbsp;&nbsp;Maintain the tone and standard appropriate to each sub-brand (premium vs. accessible).</p><p>•&nbsp;&nbsp;Follow brand rules precisely — including which offers, discounts, or messaging apply to which line.</p><p>•&nbsp;&nbsp;Capture recurring customer questions and pain points and report them to the team.</p><p><b>Operational Support</b></p><p>•&nbsp;&nbsp;Log interactions accurately in our CRM (Zoho).</p><p>•&nbsp;&nbsp;Coordinate with logistics and the internal team on order and delivery issues.</p><p>Support post-purchase follow-up and light retention outreach when needed.</p><p><br></p><p><b>Work Arrangement &amp; Compensation</b></p><p>•&nbsp;&nbsp;<b>Type: </b>Remote / work-from-home, with occasional required visits to the Dubai Office / Sharjah Facility.</p><p>•&nbsp;&nbsp;<b>Hours: </b>Part-time / Full-time.</p><p>•&nbsp;&nbsp;<b>Compensation: </b>AED 1,500 – 3,000 per month, based on experience and demonstrated garment/cultural expertise.</p><p>•&nbsp;&nbsp;<b>Visa: </b>Not sponsored — candidate must independently hold valid UAE residency.</p><p><b>Reports to: </b>Operations Lead.</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>Required Qualifications (Must-Have)</b></p><p>•&nbsp;&nbsp;<b>Native or fluent Arabic </b>(Khaleeji dialect strongly preferred) and professional English.</p><p>•&nbsp;&nbsp;<b>Deep familiarity with GCC modest women's fashion </b>— abayas, occasion wear, and traditional/contemporary garments — as a wearer and/or through direct experience.</p><p>•&nbsp;&nbsp;Strong written and verbal communication; warm, patient, and professional manner.</p><p>•&nbsp;&nbsp;Comfortable working independently from home with reliable internet and a quiet environment.</p><p>•&nbsp;&nbsp;Available during GCC business hours and able to visit the Dubai Office / Sharjah Facility when requested.</p><p><b>Must already hold valid UAE residency </b>(spouse/parent visa, own residency, or freelance permit). This role does not include visa sponsorship.</p><p><br></p><p><b>Preferred (Nice-to-Have)</b></p><p>•&nbsp;&nbsp;Prior customer service, retail, or personal-styling experience.</p><p>•&nbsp;&nbsp;Familiarity with e-commerce tools, WhatsApp Business, or CRM systems.</p><p>Based in or near Sharjah/Dubai for ease of occasional office visits.</p></div>

About Gloria Jeans Gloria Jeans is one of the largest vertically integrated fast fashion retailers in Russia and the CIS, with a strong heritage in denim and accessible fashion for families and young consumers. The company operates 600+ stores across Russia, Kazakhstan and Belarus, supported by a significant e-commerce presence.<br>Headquartered in Dubai, GJ is entering a new phase of international expansion across the GCC and global markets. As digital commerce becomes a primary growth engine, creative content is a strategic differentiator — and this role sits at the heart of that ambitio<br>Role Purpose The AI Creative Content Lead is a pioneering role at Gloria Jeans, responsible for producing high-quality, scalable, and on-brand visual content — including imagery, video, and motion assets — for brand.com and paid marketing campaigns, leveraging AI-native creative tools. This role exists at the intersection of creative direction, AI tooling mastery, and e-commerce performance. It is not a traditional creative role: it requires a content producer who can harness generative AI, prompt engineering, and emerging visual tools to produce output at a speed and scale that traditional studios cannot match — while maintaining Gloria Jeans' brand standards and commercial object<br>Key Responsibilities1. AI-Powered Content Production Produce product imagery, lifestyle visuals, and editorial content using generative AI tools (e.g. Midjourney, Firefly, DALL-E, Stable Diffusion, Runway, Kling, Pika, and emerging equivalents) Create and refine prompt libraries and workflows for consistent, brand-aligned output Retouch, enhance, and adapt AI-generated assets using Photoshop, Lightroom, or equivalent tools Generate background replacement, model substitution, and scene composition for PDP imagery at scale Produce GJ-branded visual templates for seasonal campaigns, promotions, and category launches.2. Video & Motion Content Create short-form video content for the website, mobile app, and paid social channels (Instagram, VK, Tik Tok) Use AI video generation and editing tools to produce campaign video at reduced cost and time Produce product videos, unboxing formats, and lookbook motion content Edit, caption, and subtitle video assets for multi-platform use Collaborate with Performance Marketing on creative variations for A/B testing3. E-commerce Content Optimization Ensure all content meets e-commerce performance requirements: optimal file size, resolution, format, and load speed Produce A/B variant imagery for conversion rate testing on PDP pages Align visual output with the online merchandising calendar (drops, promotions, seasonal rotations) Support new category launches (Home, Beauty) with dedicated content workflows Maintain a content asset library, organized by campaign, season, and category4. Brand Consistency & Quality Control Act as the visual quality gatekeeper for all AI-generated content before publication Develop and maintain GJ's AI creative style guide — defining what on-brand AI output looks like Ensure consistency of color palette, model aesthetics, scene direction, and brand tone across all output Collaborate with the SVP Brand & Creative to align AI content with overall brand direction Flag and correct AI artifacts, anatomical errors, or off-brand outputs before delivery.5. Pipeline & Workflow Innovation Design and own a scalable AI content production pipeline from briefing to delivery Establish briefing templates, output standards, and delivery SLAs for content requests Evaluate and onboard new AI creative tools on an ongoing basis, recommending adoption where ROI is clear Train and upskill wider marketing and e-commerce team members on AI content tools Track and report on content output volume, turnaround time, and cost efficiency vs. traditional production6. Cross-Functional Collaboration Work with Performance Marketing to supply creative variations for paid campaigns (VK Ads, Meta, programmatic) Partner with the Merchandising team to prioritize content production by category, season, and campaign Support CRM and lifecycle marketing with email, push, and in-app visual assets Collaborate with Digital Product on UX imagery standards and content integration into the website Work with external photographers and stylists where hybrid (AI + human) production is required<br>Experience3–8 years in digital creative, content production, or visual design — ideally in fashion, retail, or e-commerce Demonstrable hands-on experience with AI image and video generation tools (portfolio required) Background in e-commerce content production, campaign creative, or digital studio work Experience working in fast-paced, high-volume content environments<br>Technical skills Proficiency with generative AI tools: Midjourney, Adobe Firefly, Stable Diffusion, DALL-E, or equivalents AI video tools: Runway ML, Kling, Pika, Sora (or equivalents) Adobe Creative Suite (Photoshop mandatory; Premiere, After Effects a strong plus) Understanding of e-commerce content requirements: file formats, compression, aspect ratios, platform specs Prompt engineering fluency — ability to write and iterate effective creative prompts Familiarity with DAM (Digital Asset Management) systems<br>???? What we offer:International exposure with multicultural teams and projects across the Middle East. Career growth in a dynamic fashion retail environment. Comprehensive benefits package.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span><strong>JOB TITLE</strong><br>Online Merchandising Coordinator | Emirati Talent | MAF LifeStyle&nbsp;<br><strong>ROLE SUMMARY<br></strong><br>The Online Merchandising Coordinator will support the Online Merchandising team by managing administrative tasks related to online trading, helping to deliver a seamless and engaging customer experience across digital platforms.<br><strong>ROLE PROFILE<br></strong>Support online trading operations by uploading approved content, product information, and imagery across websites and mobile applications.<br>Coordinate product photo shoots by selecting stock, liaising with warehouse teams, and managing studio inventory movements.<br>Maintain accurate product data and studio tracking sheets to ensure seamless online merchandising execution.<br>Ensure product images are correctly linked to product details and conduct quality checks on photography and styling outputs.<br>Collaborate with Online Merchandisers to optimize category pages, highlight best sellers, and promote key trends and campaigns.<br>Gather and manage product content from suppliers and buying teams to ensure complete and accurate brand representation online.<br>Prepare and analyze daily, weekly, and monthly online KPI reports, while supporting the achievement of online sales and financial targets.<br>Enhance the customer journey by identifying customer trends, addressing recurring service issues, and maintaining strong stakeholder relationships to deliver a seamless omnichannel experience.<br><strong>REQUIREMENTS<br></strong>Strong editing and proofreading skills, with advanced knowledge of Microsoft Excel.<br>Knowledge of new technologies and digital tools that enhance the online customer experience.<br>Good awareness of the Fashion and Home industry, with strong commercial understanding.<br>Ability to prioritize tasks based on urgency and impact, take ownership, identify risks, and escalate when required.<br>Strong customer-first mindset, with the ability to understand customer expectations and deliver quality outcomes.<br>High School Certificate with 1–2 years of experience in online merchandising; Fashion and Home business experience is an advantage.<br><strong>WHAT WE OFFER<br></strong>At Majid Al Futtaim, we’re on a mission to create great moments, to spread happiness, to build, experiences that stay in our memories for a lifetime. We’re proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us!<br>Work in a friendly environment, where everyone shares positive vibes and excited about our future.<br>Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.</span></p><br><br> <br> </div>

Position: Senior AI Engineer Compensation: Offering a competitive salary plus family benefits & variable Location: Dubai or Abu Dhabi <br>Overview<br>Gateworth Group is currently assisting a Technology Consultancy in the UAE looking hire Senior AI Engineers for either its Dubai or Abu Dhabi branch. The client is looking to hire the top AI Engineers and will consider candidates who are looking to relocate. Our client has multiple vacancies and is working on some very interesting projects, looking to innovate across multiple sectors. This AI Engineer will assist with building advanced AI systems that sit at the intersection of research, engineering, and real‑world problem‑solving. This role is for someone who thrives in highly technical environments and can design, experiment, and deploy sophisticated LLM‑driven architectures. You’ll work across model development, multi‑agent system design, retrieval pipelines, and multimodal applications, contributing to platforms that support both operational and investment‑focused use cases. This is a hands‑on role for a scientist who understands modern AI from first principles and can translate cutting‑edge methods into production‑ready systems.<br><br>Main Responsibilities<br>• Architect and implement advanced LLM‑powered systems, including multi‑agent frameworks, retrieval‑enhanced pipelines, and multimodal models.• Lead end‑to‑end development of AI initiatives, from data preparation and model training to evaluation, optimisation, and deployment.• Conduct deep research into emerging AI techniques, staying ahead of developments in model architectures, training strategies, and agent‑based systems.• Build and refine prompt, tool‑use, and orchestration strategies to maximise model reliability and performance.• Collaborate with product, engineering, and domain specialists to design AI solutions tailored to complex operational and investment workflows.• Analyse system behaviour, identify performance bottlenecks, and drive continuous improvement across models, agents, and pipelines.• Contribute to internal research, experimentation, and benchmarking efforts to establish best‑in‑class AI practices.<br>Qualifications<br>• Extensive experience developing, fine‑tuning, and deploying LLMs for advanced, high‑impact applications.• Strong understanding of core AI building blocks: model internals, training dynamics, optimisation methods, data pipelines, and evaluation frameworks.• Proven ability to design and implement multi‑agent systems, including planning loops, tool‑use orchestration, memory systems, and agent collaboration.• Proficiency with modern AI frameworks such as PyTorch, Tensor Flow, JAX, and Hugging Face Transformers.• Experience with retrieval systems, vector databases, and domain‑specific RAG architectures.• Background in multimodal model development (text, vision, audio, structured data).• Track record of delivering complex AI projects, ideally with contributions to research, open‑source work, or competitive benchmarks.• Strong communication skills and the ability to work effectively with cross‑functional teams in fast‑moving environments.• Advanced academic background (Master’s or PhD) in Computer Science, Machine Learning, or a related field is preferred.<br><br>Apply<br>Applicants meeting this criterion and looking for a progressive and challenging opportunity should submit an application via the apply link. If you have any further questions, you can reach out to apply@gateworth.com, quoting the GWG reference - #3654

Position: Senior AI Engineer Compensation: Offering a competitive salary plus family benefits & variable Location: Dubai or Abu Dhabi <br>Overview<br>Gateworth Group is currently assisting a Technology Consultancy in the UAE looking hire Senior AI Engineers for either its Dubai or Abu Dhabi branch. The client is looking to hire the top AI Engineers and will consider candidates who are looking to relocate. Our client has multiple vacancies and is working on some very interesting projects, looking to innovate across multiple sectors. This AI Engineer will assist with building advanced AI systems that sit at the intersection of research, engineering, and real‑world problem‑solving. This role is for someone who thrives in highly technical environments and can design, experiment, and deploy sophisticated LLM‑driven architectures. You’ll work across model development, multi‑agent system design, retrieval pipelines, and multimodal applications, contributing to platforms that support both operational and investment‑focused use cases. This is a hands‑on role for a scientist who understands modern AI from first principles and can translate cutting‑edge methods into production‑ready systems.<br><br>Main Responsibilities<br>• Architect and implement advanced LLM‑powered systems, including multi‑agent frameworks, retrieval‑enhanced pipelines, and multimodal models.• Lead end‑to‑end development of AI initiatives, from data preparation and model training to evaluation, optimisation, and deployment.• Conduct deep research into emerging AI techniques, staying ahead of developments in model architectures, training strategies, and agent‑based systems.• Build and refine prompt, tool‑use, and orchestration strategies to maximise model reliability and performance.• Collaborate with product, engineering, and domain specialists to design AI solutions tailored to complex operational and investment workflows.• Analyse system behaviour, identify performance bottlenecks, and drive continuous improvement across models, agents, and pipelines.• Contribute to internal research, experimentation, and benchmarking efforts to establish best‑in‑class AI practices.<br>Qualifications<br>• Extensive experience developing, fine‑tuning, and deploying LLMs for advanced, high‑impact applications.• Strong understanding of core AI building blocks: model internals, training dynamics, optimisation methods, data pipelines, and evaluation frameworks.• Proven ability to design and implement multi‑agent systems, including planning loops, tool‑use orchestration, memory systems, and agent collaboration.• Proficiency with modern AI frameworks such as PyTorch, Tensor Flow, JAX, and Hugging Face Transformers.• Experience with retrieval systems, vector databases, and domain‑specific RAG architectures.• Background in multimodal model development (text, vision, audio, structured data).• Track record of delivering complex AI projects, ideally with contributions to research, open‑source work, or competitive benchmarks.• Strong communication skills and the ability to work effectively with cross‑functional teams in fast‑moving environments.• Advanced academic background (Master’s or PhD) in Computer Science, Machine Learning, or a related field is preferred.<br><br>Apply<br>Applicants meeting this criterion and looking for a progressive and challenging opportunity should submit an application via the apply link. If you have any further questions, you can reach out to apply@gateworth.com, quoting the GWG reference - #3654

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br>Company Description<br><br><p>SO/ Ras Al Khaimah is part of a coveted collection of hotels rooted in the world of fashion, commanding attention with it’s avant-garde design and creative approach to the world of luxury. This is a place where we celebrate brilliant individuals – you, our SO/ Icons. Welcome to your invite to the Front Row, a place where self-expression and experience count in equal measure.</p><br><br>Job Description<br><br><p>• Supervision: Lead and schedule bell staff for efficient operation.</p><br><p>• Guest Assistance: Ensure timely luggage delivery and guest escort services.</p><br><p>• Communication: Coordinate with front desk for guest requests.</p><br><p>• Maintenance: Oversee cleanliness and functionality of the lobby area.</p><br><p>• Training: Mentor bell staff on service standards.</p><br><br>Qualifications<br><br><p>• High School diploma or equivalent.</p><br><p>• Prior experience in bell services with leadership duties.</p><br><p>• Good communication and organizational skills.</p><br><p>• Knowledge of local attractions and services.</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br>Company Description<br><br><p>SO/ Ras Al Khaimah is part of a coveted collection of hotels rooted in the world of fashion, commanding attention with it’s avant-garde design and creative approach to the world of luxury. This is a place where we celebrate brilliant individuals – you, our SO/ Icons. Welcome to your invite to the Front Row, a place where self-expression and experience count in equal measure.</p><br><br>Job Description<br><br><p>• Kitchen Support: Oversee kitchen activities and staff.</p><br><p>• Quality Control: Maintain high food quality and consistency.</p><br><p>• Inventory: Manage kitchen inventory and supplies.</p><br><p>• Compliance: Adhere to hygiene and food safety regulations.</p><br><br>Qualifications<br><br><p><strong>Skills:</strong></p><br><p><strong>•</strong> Culinary diploma or equivalent.</p><br><p>• Previous experience as Sous Chef.</p><br><p>• Leadership and organizational skills.</p><br><p>• Previous experience specialized in Asian Cuisine (Sushi)</p><br><p><strong>Working Conditions:</strong></p><br><p>• Full-time position</p><br><p>• Rotational shifts including weekends and holidays</p><br> </div>

<p>For over seven decades, Chalhoub Group has been a partner and creator of luxury experiences in the Middle East. In its pursuit to excel as a hybrid luxury retailer, the Group has curated a portfolio of over 10 owned brands and strengthened its distribution and marketing expertise for over 400 international names across luxury fashion, beauty, jewellery, watches, eyewear, and art de vivre categories.</p> <p>Every step at Chalhoub Group is taken to build a future where luxury dreams become reality — bridging cultures and crafting memorable experiences for our consumers. Be it by constantly reinventing itself, committing to innovation, or embracing new technologies, the Group is shaping the future of luxury retail. It delivers seamless omnichannel experiences across more than 950 stores, online platforms, and mobile apps. Driving this innovation journey is The Greenhouse — the Group’s innovation hub, incubator, and accelerator for startups and emerging businesses, regionally and globally.</p> <p>Chalhoub Group fosters a people-at-heart culture rooted in diversity, equity, and inclusion, and a workplace catalysed by forward thinking and future-proofing. Today, it brings together over 16,000 talented professionals across eight countries in the Middle East, with a presence in LATAM. Their collective efforts have earned the Group the Great Place to Work® certification in several markets.</p> <p>Sustainability is at the core of the Group’s strategy, guided by a clear commitment to people, partners, and the planet. Chalhoub Group is proud to be a member of the United Nations Global Compact, a signatory of the Women’s Empowerment Principles, and to have pledged to reach Net Zero by 2040.</p> <h4>What you’ll be doing</h4> <p>We are looking for a Visual Merchandising Trainee to support the execution of visual merchandising activities across Jacquemus, Versace, and Farm Rio. This is a hands-on opportunity to learn how brand identity, product presentation, store displays, and customer experience come together within the luxury retail industry.</p> <p>The role is ideal for someone with a strong creative eye, a genuine interest in fashion, and the confidence to communicate and coordinate with different teams across the business.</p> <h4>Key responsibilities:</h4> <ul> <li>Executing visual merchandising guidelines across stores</li> <li>Supporting store displays, mannequin styling, and product placement</li> <li>Learning the brand DNA of Jacquemus, Versace, and Farm Rio</li> <li>Coordinating with store teams, Buying, Marketing, VM teams, and Brand HQ</li> <li>Supporting stock setup and in-store visual execution</li> <li>Liaising with suppliers and supporting purchase orders, invoices, and related follow-ups</li> <li>Adapting global brand guidelines with cultural awareness for the Middle East market</li> <li>Supporting brand events and activations where required</li> </ul> <p>This is a highly store-facing and operational role, so you should be comfortable moving between Dubai Design District, Dubai Mall, Mall of the Emirates, and other locations depending on business needs.</p> <h4>What you’ll need to succeed</h4> <ul> <li>Passionate about fashion, luxury retail, styling, and brand presentation</li> <li>Creative, with a strong visual and stylistic eye</li> <li>Confident in communication and coordination</li> <li>Proactive, organized, and willing to learn</li> <li>Detail-oriented and able to follow through on tasks</li> <li>Comfortable working in a fast-paced, operational environment</li> <li>Open to early working hours, especially when supporting store setups</li> <li>Comfortable with mall visits, store movement, and hands-on execution</li> <li>Able to work with different stakeholders internally and externally</li> </ul> <h4>What you’ll gain</h4> <p>This traineeship offers a strong entry point into luxury retail and visual merchandising. You will gain exposure to:</p> <ul> <li>How luxury brands are represented in-store</li> <li>How product placement influences customer experience</li> <li>How global guidelines are adapted regionally</li> <li>How fashion, styling, retail operations, and brand storytelling connect</li> <li>How to work with store teams, brand teams, suppliers, and marketing partners</li> </ul> <p>Throughout the journey, you will build confidence in communication, planning, coordination, and store-facing execution, while learning the foundations of visual merchandising within some of the most exciting luxury and fashion brands in the region.</p> <h4>First 6 months</h4> <p>During the first six months, you will be expected to:</p> <ul> <li>Build a strong understanding of visual merchandising fundamentals</li> <li>Learn the guidelines and brand DNA of Jacquemus, Versace, and Farm Rio</li> <li>Support in-store displays, styling, and product placement</li> <li>Develop strong coordination habits with internal and external stakeholders</li> <li>Understand how cultural sensitivity and regional nuance shape VM execution</li> <li>Build confidence in store visits, communication, and operational follow-through</li> </ul> <h4>What the group can offer</h4> <p>With us, you will turn your aspirations into reality. We will help shape your journey through enriching experiences, learning and development opportunities and exposure to different assignments within your role or through internal mobility. Our Group offers diverse career paths for those who are extraordinary, every day.</p> <p>We recognise the value that you bring, and we strive to provide a competitive benefits package which includes health care, child education contribution, remote and flexible working policies as well as exclusive employee discounts.</p> <h4>Emirati talent & inclusive opportunities</h4> <p>At Chalhoub Group, we are committed to empowering UAE Nationals and fostering local talent as part of our vision for a thriving workforce. We welcome applications from Emirati candidates who are eager to grow, innovate, and contribute to the success of our organization. Our commitment to diversity and inclusion ensures equal opportunities for all, regardless of gender, age, race, religion, or ability.</p>

<p>Position Title: Brand Manager – Contemporary Fashion Employment Type: Full Time Package: all- inclusive depending on experience and qualifications plus UAE labor law benefits 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: • Ensure brand consistency across all channels, including digital platforms, advertising, and in-store experiences. • Oversee retail operations, including store management, staffing, and customer service standards. Develop and enforce standardized operating procedures (SOPs) to optimize efficiency and consistency. • Manage the product lifecycle from concept to launch, ensuring strategic alignment. Monitor campaign performance and optimize investments to achieve ROI targets. • Manage relationships with brands, wholesale accounts, and key stakeholders to drive alignment and collaboration</p><p>Qualifications: • Bachelor's degree in Marketing, Business Administration, or a related field; an MBA is preferred. • Minimum 8–10 years of experience in retail brand management, with a proven track record of developing and executing brand strategies. • Strong understanding of retail operations, customer experience, and omnichannel brand management. • Excellent Proficiency in MS Excel and data analysis tools to monitor KPIs, ROI, and campaign performance</p>

Role Summary<br><br>AI71 is seeking a Senior Machine Learning Engineer to lead the development and deployment of advanced AI models for the EDGE Group. In this role, you will be responsible for the end-to-end lifecycle of our machine learning systems—from architectural design and data preprocessing to model training, optimization, and production deployment.<br><br>You will work at the intersection of generative AI and traditional machine learning, building the engines that power two flagship initiatives: Lever EDGE (automated requirements engineering via LLMs) and Intelligent Supply Chain (predictive risk scoring and demand forecasting). Operating within a structured "Sprint Zero" to "Stage Gate" delivery model, you will ensure our models are not just accurate, but also robust, explainable, and deployable within strict defense-grade security environments.<br><br>Key Responsibilities<br><br> LLM & NLP Pipelines (Lever EDGE) Regulation Parsing: Design and fine-tune Large Language Model (LLM) pipelines to interpret complex regulatory texts (e.g., military standards, building codes) and extract structured rules. Rule Formalization: Convert natural language requirements into computer-processable formats (e.g., logic tuples) that can be executed by downstream compliance engines. Semantic Search: Implement RAG (Retrieval-Augmented Generation) architectures to enable semantic querying of technical documentation and historical project data. Prompt Engineering: optimize prompt strategies (few-shot learning, chain-of-thought) to improve model performance on domain-specific tasks without extensive retraining. Predictive & Analytical Models (Supply Chain) Forecasting Engines: Develop time-series forecasting models to predict material demand and spend categories, integrating internal ERP data with external market signals. Risk Scoring: Build classification and anomaly detection models to assess supplier risk profiles based on financial health, delivery performance, and geopolitical factors. Optimization Algorithms: Design algorithms for multi-objective optimization (e.g., balancing cost vs. lead time vs. risk) to support procurement decision-making. MLOps & Productionization Model Deployment: Containerize models using Docker/Kubernetes and deploy them into secure, on-premise inference environments. Pipeline Orchestration: Build automated training and inference pipelines using tools like Kubeflow or MLflow to ensure reproducibility and scalability. Performance Optimization: Optimize model inference latency and resource usage (e.g., quantization, distillation) to run efficiently on available hardware. Monitoring & retraining: Implement monitoring systems to track model drift and performance in production, establishing feedback loops for continuous improvement.<br><br>Technical Requirements<br><br>Core ML/AI: Expert proficiency in Python and standard ML libraries (PyTorch, Tensor Flow, Scikit-learn, Pandas, Num Py). NLP & Gen AI: Strong experience with transformer architectures (BERT, GPT, Llama) and NLP frameworks (Hugging Face, Lang Chain). MLOps: Proficiency with MLOps tools and practices, including containerization (Docker), orchestration (Kubernetes), and experiment tracking (MLflow). Data Handling: Ability to design data preprocessing pipelines for both structured (SQL, tabular) and unstructured (text, PDF) data. Algorithm Design: Strong grasp of algorithmic principles for implementing custom logic, such as graph traversal or geometric computations.<br><br>Professional Qualifications<br><br>Experience: 5+ years of experience in Machine Learning Engineering, with a proven track record of deploying models into production environments. Domain Adaptability: Ability to quickly learn and apply ML techniques to specialized domains like defense engineering, supply chain, or construction. Structured Delivery: Experience working in agile environments (Sprints) while adhering to rigorous engineering standards and documentation requirements. Collaboration: Strong communication skills to work effectively with Data Scientists, Backend Engineers, and Domain Experts to align technical solutions with business needs.<br><br>Why This Role?<br><br>You will be building the intelligence that drives critical national infrastructure. Your models will not just generate text or predictions; they will directly influence the design of defense systems and the resilience of supply chains. If you are ready to apply advanced ML to tangible, high-stakes problems in a rigorous engineering environment, join AI71.

<ul><li><p>AI & ML Engineering</p><ul><li><p>Develop, deploy, and optimize machine learning and deep learning models.</p></li><li><p>Build AI solutions for NLP, computer vision, predictive analytics, and intelligent automation.</p></li><li><p>Integrate AI services into enterprise applications and internal platforms.</p></li></ul><p>Generative AI</p><ul><li><p>Develop LLM-based applications, AI copilots, and RAG solutions.</p></li><li><p>Implement prompt engineering, model evaluation, embeddings, and semantic search.</p></li><li><p>Optimize model performance, scalability, and cost.</p></li></ul><p>Agentic AI</p><ul><li><p>Design and deploy autonomous and multi-agent AI systems.</p></li><li><p>Develop agent orchestration, planning, reasoning, memory, and tool integration.</p></li><li><p>Implement human-in-the-loop approvals and enterprise workflow automation.</p></li></ul><p>AI Operations (MLOps / LLMOps / AgentOps)</p><ul><li><p>Build CI/CD pipelines for AI models and agents.</p></li><li><p>Monitor AI systems for performance, drift, hallucinations, security, and reliability.</p></li><li><p>Manage model versioning, deployment, observability, and lifecycle operations.</p></li></ul><p>AI Governance & Responsible AI</p><ul><li><p>Implement AI governance, model risk management, and Responsible AI practices.</p></li><li><p>Maintain model documentation, validation, audit readiness, and compliance.</p></li><li><p>Ensure fairness, traceability, maintainability, privacy, and regulatory adherence.</p></li></ul><p>Agent Governance & Security</p><ul><li><p>Govern AI agent lifecycle, identity, access, and runtime controls.</p></li><li><p>Implement guardrails, audit logging, and secure integration with enterprise systems.</p></li><li><p>Protect AI solutions against prompt injection, data leakage, and adversarial attacks.</p></li></ul><p>Collaboration</p><ul><li><p>Work with business, engineering, security, and architecture teams to deliver AI solutions.</p></li><li><p>Mentor team members and promote AI engineering standards and best practice</p></li></ul><p><strong>Technical Skills</strong></p><p>AI & Machine Learning</p><ul><li><p>Machine Learning, Deep Learning, NLP, Computer Vision</p></li><li><p>Predictive Analytics, Feature Engineering, Model Optimization</p></li></ul><p>Generative AI</p><ul><li><p>Large Language Models (LLMs)</p></li><li><p>Retrieval-Augmented Generation (RAG)</p></li><li><p>Prompt Engineering</p></li><li><p>Embeddings and Semantic Search</p></li><li><p>Fine-tuning Foundation Models</p></li></ul><p>Agentic AI</p><ul><li><p>Autonomous and Multi-Agent Systems</p></li><li><p>Agent Orchestration</p></li><li><p>Planning and Reasoning</p></li><li><p>Memory Management</p></li><li><p>Tool Calling</p></li><li><p>Human-in-the-Loop (HITL)</p></li><li><p>Model Context Protocol (MCP)</p></li></ul><p>Frameworks & Libraries</p><ul><li><p>PyTorch</p></li><li><p>TensorFlow</p></li><li><p>Scikit-learn</p></li><li><p>Hugging Face</p></li><li><p>LangChain</p></li><li><p>LangGraph</p></li><li><p>LlamaIndex</p></li><li><p>AutoGen</p></li><li><p>CrewAI</p></li><li><p>Semantic Kernel</p></li></ul><p>Cloud & Infrastructure</p><ul><li><p>Microsoft Azure AI Foundry</p></li><li><p>Azure Machine Learning</p></li><li><p>AWS Bedrock</p></li><li><p>Amazon SageMaker</p></li><li><p>Google Vertex AI</p></li><li><p>Docker</p></li><li><p>Kubernetes</p></li><li><p>Terraform</p></li></ul><p>Data & Integration</p><ul><li><p>SQL</p></li><li><p>PostgreSQL</p></li><li><p>MongoDB</p></li><li><p>Apache Spark</p></li><li><p>Vector Databases</p></li><li><p>REST APIs</p></li><li><p>FastAPI</p></li></ul><p>AI Operations</p><ul><li><p>MLflow</p></li><li><p>Kubeflow</p></li><li><p>Azure ML Pipelines</p></li><li><p>GitHub Actions</p></li><li><p>Azure DevOps</p></li></ul><p>AI Monitoring & Observability</p><br></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Work Experience</p><p>Minimum:</p><ul><li><p>Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.</p></li><li><p>5+ years of software or AI/ML engineering experience.</p></li><li><p>3+ years building and operating production AI solutions.</p></li><li><p>Strong Python programming and software engineering skills.</p></li><li><p>Experience with enterprise AI governance, cloud platforms, and secure AI development.</p></li></ul></li></ul><br><p>Skills Python Machine Learning Deep Learning</p>

<p>LLM Solution Design & Development</p><ul><li><p>Architect and deliver production-ready LLM applications, including conversational agents, intelligent assistants, and RAG pipelines with advanced retrieval and re-ranking.</p></li><li><p>Build multi-agent systems using <strong>Lang Chain, Lang Graph, Auto Gen, or Crew AI</strong>; apply prompt engineering techniques to optimize model performance.</p></li><li><p>Integrate LLM solutions with enterprise systems via REST APIs and event-driven architectures.</p></li></ul><p>Model Fine-Tuning & Optimization</p><ul><li><p>Lead fine-tuning (LoRA, QLoRA, instruction tuning) and benchmark foundation models such as <strong>Open AI, Mistral, Llama, and Gemini</strong> for specific use cases.</p></li><li><p>Optimize for latency, cost, and throughput; design evaluation frameworks to measure accuracy, hallucination, and safety.</p></li></ul><p>Agentic AI & Workflow Automation</p><ul><li><p>Design agentic workflows with tool use, memory management, planning loops, and human-in-the-loop controls.</p></li><li><p>Build AI-driven automation pipelines across structured and unstructured enterprise data sources.</p></li></ul><p>Vector Databases & Knowledge Infrastructure</p><ul><li><p>Design and manage vector stores (Pinecone, Weaviate, Qdrant, FAISS, or <strong>PG Vector</strong>) with semantic and hybrid search strategies.</p></li><li><p>Maintain knowledge bases powering enterprise AI applications, ensuring accuracy and freshness of indexed content.</p></li></ul><p>Technical Leadership & Mentoring</p><ul><li><p>Guide and review the work of associate-level engineers; contribute to reusable frameworks and internal engineering standards.</p></li><li><p>Lead client workshops, technical discovery sessions, and proof-of-concept demonstrations; produce clear solution design documentation.</p></li></ul><p>Trend Monitoring & Innovation</p><ul><li><p>Evaluate emerging LLMs, multimodal models, and local inference runtimes; prototype new tools and share findings with the team.</p></li><li><p>Contribute to Beinex thought leadership through internal knowledge-sharing sessions, technical write-ups, or industry presentations.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>5+ years of professional experience in AI Engineering, Machine Learning, or Applied NLP, with at least 2 years focused on LLMs and Generative AI.</p></li><li><p>Strong proficiency in Python and experience with <strong>Hugging Face Transformer Library, Lang Chain, Lang Graph, Fast API, and PyTorch</strong>.</p></li><li><p>Deep practical knowledge of LLM fine-tuning, prompt engineering, RAG pipeline design, and agentic AI development.</p></li><li><p>Hands-on experience with vector databases such as Pinecone, Weaviate, Qdrant, FAISS, or <strong>PG Vector</strong>, along with embedding models.</p></li><li><p>Proven ability to deploy and productionize AI solutions in AWS, Azure, or GCP using Docker and Kubernetes.</p></li><li><p>Experience integrating AI solutions with enterprise platforms through REST APIs, webhooks, or event-driven architectures.</p></li><li><p>Strong understanding of responsible AI principles, including hallucination mitigation, output evaluation, content safety, and model governance.</p></li><li><p>Excellent communication skills with the ability to explain complex technical concepts to both technical and business stakeholders.</p></li><li><p>Demonstrated ability to independently lead AI projects from solution design through production deployment.</p></li></ul><p>Preferred Certifications</p><ul><li><p>AWS Certified Machine Learning – Specialty, Azure AI Engineer, GCP Professional Machine Learning Engineer, or equivalent cloud AI/ML certification.</p></li><li><p>Deep Learning Specialization.</p></li><li><p>LLM Engineering or Generative AI certifications from recognized learning platforms such as <strong>Hugging Face, DeepLearning AI, or Databricks</strong>.</p></li><li><p>Certified Kubernetes Application Developer (CKAD) is an added advantage.</p></li></ul>

<ul><li>Assist customers in identifying and selecting the correct aftermarket spare parts based on vehicle make, model, VIN, and specifications.</li><li>Provide technical guidance and recommend suitable aftermarket products.</li><li>Ensure exceptional customer service and customer satisfaction.</li><li>Monitor stock availability and coordinate replenishment requirements.</li><li>Maintain accurate inventory records.</li><li>Participate in stock audits and inventory verification.</li><li>Prepare quotations and sales orders accurately.</li><li>Process customer orders efficiently through the ERP system.</li><li>Follow up on pending quotations and customer inquiries.</li><li>Coordinate with suppliers and distributors to source specialized or non-stock aftermarket spare parts.</li><li>Negotiate pricing and delivery timelines where applicable.</li><li>Track procurement status and keep customers informed.</li><li>Develop and maintain relationships with workshops, garages, fleet operators, traders, and corporate customers.</li><li>Generate new business opportunities.</li><li>Conduct regular customer visits and follow-ups to increase repeat business.</li><li>Inspect received parts for quality and correctness.</li><li>Process warranty claims, returns, and exchanges as per company policy.</li><li>Coordinate with suppliers regarding defective products and replacements.</li><li>Achieve assigned monthly sales targets.</li><li>Promote new product lines, offers, and marketing campaigns.</li><li>Upsell and cross-sell aftermarket automotive products.</li><li>Maintain strong product knowledge of leading aftermarket brands.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Strong knowledge of automotive aftermarket spare parts and vehicle systems</li><li>Spare parts identification using electronic catalogs (EPC) and OEM references</li><li>Inventory management</li><li>Sales and negotiation skills</li><li>Quotation preparation and order management</li><li>ERP systems and MS Office proficiency</li><li>Customer-focused approach</li><li>Strong communication and interpersonal skills</li><li>Problem-solving ability</li><li>Attention to detail</li><li>Time management</li><li>Teamwork and collaboration</li><li>Relationship-building skills</li><li>Results-oriented mindset</li><li>Experience in selling aftermarket brands for Japanese, Korean, American, or Chinese vehicles</li><li>Experience dealing with workshops, garages, fleet operators, wholesalers, or retail customers</li></ul>

BUSINESS INTRODUCTIONMajid Al Futtaim Holding is the leading shopping mall, retail, communities, entertainment developer and operator in the Middle East, North Africa, and Central Asia regions. With over 43,000 people, revenues of over US$ 11 Billion, and operations in 18 countries. Some of the iconic brands we carry include Mall of the Emirates, Carrefour, All Saints, Lego, City Center, Abercrombie & Fitch, & Vox Cinemas. We believe in making Great Moments for Everyone, Every day<br>JOB TITLESales Associate | Majid Al Futtaim Lifestyle | Operations<br>ROLE PROFILE:Be The Ultimate Champion of Customer Service Standards in Line with Majid Al Futtaim Guidelines, Understanding Customer Needs and Enabling the Fulfilment of an Exceptional Experience for The Customer. Ensure Customer Concerns Are Addressed Promptly and Professionally and Escalated in A Timely Manner to the Store Manager, When Necessary, Keep the Customer in Mind Through All Interactions. Achieve Set Sales Targets and Use Creative Ways to Exceed the Same, Keeping the Customer in Mind. Contribute To Enhanced Sales Targets with Thorough Product Knowledge, Taking Opportunities to Up Sell and Cross Sell. Ensure Store Standards Are Maintained at All Times, Supporting with Instore Tasks Including but Not Limited to Cleanliness, Tidiness and Replenishment. Comply With All Store Security Policies and Regulations, Minimizing Exposure to Stock Loss. Use Advanced Selling Skills in Order to Better Support the Customer’s Needs, Generate High Value Transactions, And Build a Consistent Flow of Repeat Custom Recommend, Select, And Help Locate or Obtain Merchandise Based on Customer Need in Other Majid Al Futtaim Fashion Brands and Stores, If Not Available Instore.<br>REQUIREMENTS:High School Certificate1-2 Years Industry Experience Good Communication Skills Excellent Customer Service<br>WHAT WE OFFERAt Majid Al Futtaim, we’re on a mission to create great moments, to spread happiness, to build, experiences that stay in our memories for a lifetime. We’re proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us! Work in a friendly environment, where everyone shares positive vibes and excited about our future. Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong><span>Role Overview</span>:</strong><br>We are looking for an&nbsp;<strong>NLP Engineer</strong>&nbsp;to lead the design, development, and deployment of production-grade NLP and Generative AI solutions. You will own complex AI initiatives end-to-end, drive technical architecture, and help shape our NLP/LLM engineering practices.<p><strong>Key Responsibilities</strong></p><br><br><ul><li>Lead the design and development of scalable NLP and LLM-powered solutions.</li><li>Architect and optimize RAG pipelines, embeddings, vector search, and LLM applications.</li><li>Fine-tune, evaluate, and optimize transformer-based models and LLMs for production use.</li><li>Build robust data, training, inference, and model-evaluation pipelines.</li><li>Drive improvements in model quality, latency, scalability, reliability, and cost.</li><li>Establish best practices for experimentation, evaluation, deployment, and monitoring of AI systems.</li><li>Translate complex business requirements into effective AI/ML solutions.</li><li>Collaborate closely with ML engineers, software engineers, product teams, and stakeholders.</li><li>Mentor engineers and provide technical leadership across NLP/Generative AI initiatives.</li><li>Stay current with emerging research, models, frameworks, and best practices in NLP and Generative AI.</li></ul><p><strong>Requirements</strong></p><br><br><ul><li>5+ years of professional experience in NLP, Machine Learning, or Generative AI.</li><li>Strong Python programming and hands-on experience with PyTorch, TensorFlow, Hugging Face, or equivalent frameworks.</li><li>Deep understanding of NLP, transformers, LLMs, embeddings, RAG, fine-tuning, and model evaluation.</li><li>Proven experience taking AI/ML solutions from experimentation to production.</li><li>Strong software engineering and system-design skills, including APIs, data pipelines, and scalable architectures.</li><li>Strong analytical and problem-solving skills with the ability to independently drive technical initiatives.</li></ul><p><strong>Preferred</strong></p><br><br><ul><li>Experience with PEFT/LoRA, quantization, inference optimization, or distributed model training.</li><li>Experience with vector databases, MLOps, cloud platforms, and AI evaluation/observability frameworks.</li><li>Experience building AI agents, multimodal systems, or other advanced Generative AI applications.</li><li>Contributions to open-source projects, research, publications, or applied AI/ML innovation.</li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><strong>Role Overview</strong></span><br>We are looking for an&nbsp;<strong>NLP Engineer</strong>&nbsp;to lead the design, development, and deployment of production-grade NLP and Generative AI solutions. You will own complex AI initiatives end-to-end, drive technical architecture, and help shape our NLP/LLM engineering practices.<p><strong>Key Responsibilities</strong></p><br><br><ul><li>Lead the design and development of scalable NLP and LLM-powered solutions.</li><li>Architect and optimize RAG pipelines, embeddings, vector search, and LLM applications.</li><li>Fine-tune, evaluate, and optimize transformer-based models and LLMs for production use.</li><li>Build robust data, training, inference, and model-evaluation pipelines.</li><li>Drive improvements in model quality, latency, scalability, reliability, and cost.</li><li>Establish best practices for experimentation, evaluation, deployment, and monitoring of AI systems.</li><li>Translate complex business requirements into effective AI/ML solutions.</li><li>Collaborate closely with ML engineers, software engineers, product teams, and stakeholders.</li><li>Mentor engineers and provide technical leadership across NLP/Generative AI initiatives.</li><li>Stay current with emerging research, models, frameworks, and best practices in NLP and Generative AI.</li></ul><p><strong>Requirements</strong></p><br><br><ul><li>5+ years of professional experience in NLP, Machine Learning, or Generative AI.</li><li>Strong Python programming and hands-on experience with PyTorch, TensorFlow, Hugging Face, or equivalent frameworks.</li><li>Deep understanding of NLP, transformers, LLMs, embeddings, RAG, fine-tuning, and model evaluation.</li><li>Proven experience taking AI/ML solutions from experimentation to production.</li><li>Strong software engineering and system-design skills, including APIs, data pipelines, and scalable architectures.</li><li>Strong analytical and problem-solving skills with the ability to independently drive technical initiatives.</li></ul><p><strong>Preferred</strong></p><br><br><ul><li>Experience with PEFT/LoRA, quantization, inference optimization, or distributed model training.</li><li>Experience with vector databases, MLOps, cloud platforms, and AI evaluation/observability frameworks.</li><li>Experience building AI agents, multimodal systems, or other advanced Generative AI applications.</li><li>Contributions to open-source projects, research, publications, or applied AI/ML innovation.</li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br>Company Description<br><br><p>SO/ Ras Al Khaimah is part of a coveted collection of hotels rooted in the world of fashion, commanding attention with it’s avant-garde design and creative approach to the world of luxury. This is a place where we celebrate brilliant individuals – you, our SO/ Icons. Welcome to your invite to the Front Row, a place where self-expression and experience count in equal measure.</p><br><br>Job Description<br><br><p>• Guest Greeting: Welcome all guests upon arrival and provide assistance.</p><br><p>• Guest Interaction: Answer guest inquiries and offer directions or recommendations.</p><br><p>• Presence: Maintain a professional presence in the lobby area at all times.</p><br><p>• Communication: Liaise with Front Office and Guest Relations teams for guest needs.</p><br><p>• Observation: Monitor lobby activity and report issues or concerns.</p><br><br>Qualifications<br><br><p>• High School diploma or equivalent.</p><br><p>• Previous customer service experience preferred.</p><br><p>• Strong communication and interpersonal skills.</p><br><p>• Positive demeanor and polished appearance.</p><br> </div>