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<p><strong>Who are we?</strong></p><p>Founded in 1982, APM, Ariane Prette Monaco, is a contemporary fashion jewelry brand that associates itself with the chicness of Monaco and South of France lifestyle. <br></p><p>We are seeking a highly organized and proactive <strong>logistics operator</strong> to join our team. The ideal candidate will play a key role in supporting our day-to-day logistics operations, including receiving, picking, packing, inventory handling, and shipment preparation, while ensuring the accuracy, quality, and safety of goods.<br><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Receive, inspect, and record incoming goods, ensuring accuracy against delivery documents.</li><li>Pick, pack, and prepare orders for B2C and B2B shipments in line with company requirements.</li><li>Ensure proper storage, handling, and organization of inventory to maintain stock accuracy.</li><li>Update and maintain inventory records in the ERP system accurately and on time.</li><li>Prepare packing lists, shipping labels, invoices, and other required shipment documentation.</li><li>Assist with inventory counts and cycle counts to ensure accurate stock levels.</li><li>Track and follow up on freight and shipment tracking numbers to ensure smooth delivery operations.</li><li>Coordinate with couriers, forwarders, and customs-related parties when required.</li><li>Maintain <strong>5S practices</strong> to ensure a clean, safe, and organized warehouse environment.</li><li>Follow company procedures and safety requirements when handling and moving goods.</li><li>Support the logistics supervisor and wider logistics team with operational and ad hoc tasks as required.<br><br></li></ul><strong>Requirements<br><br></strong><p><strong>Qualifications &amp; Skills:&nbsp;</strong></p><ul><li>English fluency is required; proficiency in Chinese is considered an advantage.</li><li>Previous experience in logistics, warehouse operations, supply chain, or a related field, preferably in a B2C environment.</li><li>Basic knowledge of inventory control processes and stock management.</li><li>Familiarity with ERP systems and basic invoicing procedures is an advantage.</li><li>Strong organizational skills with excellent attention to detail.</li><li>Ability to work efficiently in a fast-paced environment and manage multiple tasks.</li><li>Good communication skills for coordinating with internal teams and external partners.</li><li>Familiarity with customs regulations and forwarding processes is a plus.</li><li>Proficiency in Microsoft Office, particularly Word and Excel.</li><li>Proactive, reliable, and team-oriented with a problem-solving mindset.<br><br></li></ul><strong>Benefits<br><br></strong><p><strong>Why Join APM?</strong></p><ul><li>Global, Dynamic Team: Diverse and energetic workforce.</li><li>⁠Growth Opportunities: We support your professional development.</li><li>Collaborative Culture: Teamwork and open communication.</li><li>Comprehensive Benefits: Medical benefits, paid holidays, and generous employee discounts.<br></li></ul><p><strong>Don't wait to join APM Monaco! Click on APPLY NOW!</strong></p>

<p>A manufacturing company in the UAE is looking for a skilled, responsible, and safety-conscious Forklift Operator to handle the movement, loading, unloading, and storage of materials and products. The ideal candidate should have good forklift operating skills, strong awareness of workplace safety, and the ability to work efficiently in a warehouse, manufacturing, or logistics environment.<br /> Operate forklifts safely and efficiently for loading, unloading, and material movement.<br /> Move raw materials, finished products, pallets, cartons, and other goods within the warehouse or facility.<br /> Load and unload trucks, containers, and delivery vehicles safely.<br /> Transport materials to designated storage, production, or dispatch areas.<br /> Stack and organize pallets and materials properly in designated locations.<br /> Follow proper procedures while lifting, carrying, and positioning heavy materials.<br /> Inspect the forklift before and after each shift and report any mechanical or safety issues.<br /> Ensure the forklift is operated within its safe load capacity.<br /> Maintain proper visibility and safe driving practices inside the warehouse and work area.<br /> Follow warehouse traffic rules, safety procedures, and company policies.<br /> Assist warehouse staff with general material handling activities as required.<br /> Maintain accurate records of material movements where required.<br /> Keep the forklift and work area clean and in good working condition.<br /> Report damaged goods, unsafe conditions, or operational issues to the supervisor.<br /> Coordinate with warehouse supervisors and other team members to ensure smooth operations.<br /> Follow all health, safety, and environmental requirements.<br /> Requirements<br /> Previous experience as a Forklift Operator in a warehouse, manufacturing, logistics, or industrial environment.<br /> Valid forklift operator certification/license as required by the company and applicable UAE regulations.<br /> Good knowledge of forklift operation and material-handling procedures.<br /> Ability to safely handle heavy materials and operate equipment in busy work environments.<br /> Physically fit and able to work in a warehouse or industrial environment.<br /> Good understanding of workplace health and safety procedures.<br /> Responsible, punctual, and safety-conscious attitude.<br /> Ability to follow instructions and work effectively as part of a team.<br /> UAE experience is an advantage.<br /> Key Skills<br /> Forklift Operation<br /> Material Handling<br /> Loading &amp; Unloading<br /> Warehouse Operations<br /> Pallet Handling<br /> Stock Movement<br /> Safety Awareness<br /> Equipment Inspection<br /> Teamwork<br /> Time Management<br /> Attention to Detail</p> <p>Interested and qualified candidates can send their updated CV via WhatsApp: +971529456306</p>

Key Responsibilities<br><br> JOB DESCRIPTION <br><br>Operate forklifts safely in accordance with company policies and safety regulations. Load and unload materials from trucks, containers, and storage locations. Transport raw materials, finished goods, and pallets to designated areas. Stack and arrange materials properly to maximize storage space and prevent damage. Verify material quantities and product labels before moving goods. Assist with receiving and dispatch activities. Perform daily pre-operation inspections of the forklift (brakes, tires, forks, lights, horn, battery/fuel, hydraulics, etc.). Report equipment defects, accidents, or safety hazards immediately. Follow warehouse traffic rules, speed limits, and designated routes. Ensure materials are handled carefully to avoid product damage. Support inventory counts and stock movement as required. Maintain cleanliness of the forklift and work area. Use appropriate Personal Protective Equipment (PPE) at all times. Follow FIFO/FEFO procedures where applicable. Coordinate with warehouse supervisors and other departments for efficient material movement. Complete forklift operation logs and material movement records accurately.<br><br>Safety Responsibilities<br><br>Conduct pre-shift safety checks before operating the forklift. Never exceed the forklift's rated load capacity. Ensure loads are stable and securely positioned before transport. Sound the horn at blind corners and pedestrian crossings. Keep forks lowered while traveling without a load. Avoid carrying passengers unless the equipment is designed for it. Park the forklift safely with forks lowered, parking brake engaged, and power switched off. Report near misses, incidents, and unsafe conditions promptly.<br><br>Required Skills<br><br>Valid forklift operator license/certification (as per local regulations). Knowledge of warehouse safety practices. Ability to read labels, delivery documents, and inventory records. Good coordination, attention to detail, and safe driving skills. Basic communication and teamwork abilities. Physical fitness to work in warehouse and outdoor environments.<br><br>Key Performance Indicators (KPIs)<br><br>Zero safety violations and accidents. High accuracy in material handling. Timely completion of loading and unloading activities. Daily forklift inspection compliance. Efficient material movement with minimal downtime.<br><br>Strategic<br><br> RESPONSIBILITIES <br><br> Responsible for loading and uploading of material + Transport raw materials to production workstations as per request. Locate and move stock of products to pallets or crates as per allotted location only. No damage of material while operating forklift.<br><br>Operational<br><br> Managing forklift by timely maintenance as per the forklift manual.<br><br>People Management<br><br> N/A.<br><br>Product/Process Improvement<br><br> N/A.<br><br>Qualifications<br><br>Education & Certifications:<br><br> PREFERRED : Any. MINIMUM :.<br><br>Knowledge & Skill<br><br> UAE forklift driving license is required. Able to work independently and ready to work in the production station if required. Same field experience is additional strength (one Forklift driver should be from the same field experience).<br><br>Experience<br><br> PREFFERED : Same field experience is additional strength (one Forklift driver should be from the same field experience). MINIMUM :.

General Production Technician / Follow Spot Operator Crazy Horse Paris: The Dubai Edition Department: Technical / Production Reports to: Technical Manager / Assistant Technical Manager Location: Jumeirah Zabeel Saray, Palm Jumeirah, Dubai Role Overview The General Technician / Follow Spot Operator is a multi-skilled technical position responsible for the precise operation of the follow spot during all performances, while also supporting the wider technical team across stage, lighting, AV, props, and general show operations. As a resident theatrical production where lighting, movement, music, and choreography must work in exact synchronization, the role requires exceptional concentration, timing, consistency, and awareness of performer movement. The successful candidate must be able to execute follow spot cues accurately night after night while also serving as a versatile technician capable of supporting multiple technical disciplines. Key Responsibilities Operate the follow spot during all assigned performances, accurately tracking performers according to established cues, choreography, and artistic direction. Maintain precise timing, positioning, beam control, intensity, size, and movement throughout the performance. Learn and maintain detailed knowledge of the production, including performer entrances, choreography, blocking, lighting cues, transitions, and technical sequences. Execute follow spot cues consistently and accurately according to the approved artistic and technical standards of Crazy Horse Paris. Participate in rehearsals, technical rehearsals, cue-to-cues, and show adjustments to maintain accurate follow spot operation. Perform daily pre-show inspections, testing, setup, and positioning of follow spot equipment. Identify and report equipment faults or operational concerns before they impact a performance. Maintain and assist with preventative maintenance of follow spot equipment and associated lighting systems. Serve as a General Technician, supporting the Technical Team across stage, lighting, AV, props, and other technical requirements as needed. Assist with show presets, changeovers, resets, backstage operations, and post-show technical checks. Support the setup, operation, troubleshooting, and maintenance of general theatrical equipment. Assist Lighting Technicians with fixtures, cabling, focusing, maintenance, and other lighting requirements when needed. Assist AV, Stage, Props, and other technical departments during rehearsals, maintenance periods, special events, and operational requirements. Respond quickly to technical issues during live performances and support the Technical Manager in maintaining show continuity. Maintain a safe, organized, and performance-ready technical environment. Follow all venue safety procedures, working-at-height requirements, equipment procedures, and technical protocols. Support and guide junior technicians when required. Assist with technical requirements for private events, corporate functions, and venue activations. Technical Skills & Experience Strong experience operating professional follow spot systems in theatre, live entertainment, concerts, or resident productions. Excellent understanding of follow spot technique, including performer tracking, beam positioning, iris control, intensity, movement, and cue execution. Strong understanding of theatrical lighting and live-show operations. Experience working from show calls, cue sheets, and communication systems. Ability to memorize and anticipate performer movement and choreography. Experience with lighting fixtures, cabling, focusing, and basic troubleshooting. General knowledge of stage operations, AV, props, and backstage technical systems. Familiarity with grand MA3 or similar lighting control systems is advantageous. Experience with networked theatrical systems and show control is advantageous. Comfortable working at height where required and in accordance with venue safety procedures. Strong hands-on troubleshooting and basic equipment maintenance skills. Candidate Profile Minimum 5 years of professional technical experience within theatre, resident shows, live entertainment, concerts, or major events. Proven professional experience as a Follow Spot Operator is strongly preferred. Previous experience working on choreography-driven productions, dance shows, musicals, or large-scale theatrical productions is highly desirable. Strong concentration and ability to execute precise cues consistently across repeated performances. Excellent visual awareness, timing, coordination, and attention to detail. Able to anticipate performer movement and react immediately to unexpected changes during a live performance. Multi-skilled technical background with the flexibility to support multiple production departments. Calm and reliable under live-show pressure. Strong understanding of backstage discipline and theatrical safety. Comfortable working as part of a technical team and taking direction from Show Management and Technical Management. Flexible availability for rehearsals, evening performances, weekends, public holidays, and special events. Able to work immediately Compensation AED 9,000 per month, all-inclusive, including housing/accommodation, transportation, and any other personal living expenses in the UAE.

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.<br><br>Job Duties<br><br>Under direct supervision, operates all cement pumping and mixing equipment: blenders, liquid additive metering systems, centrifugal pumps, data acquisition systems, Automatic Density Control (ADC) systems, bulk cement blending, delivery and storage systems, manfolding equipment, and cementing plug releasing tools. Performs pre-job calculations related to: pipe capacities and volume/height math, plug landing pressures, absolute volumes (including total water requirements for job), hydrostatic and differential pressure, resulting forces, balanced plugs, bulk cement blending, calculations to include liquid additives and weighted spacers, pressure to reverse, and determining burst and collapse. Sets-up and utilizes a controller to run ADC software for the purpose of monitoring and acquiring job data and for accurate mixing of cement slurries in the performance of a cementing job. Downloads controller and/or performs real-time report generation of job data using the appropriate computer system. Completes documents, reports, and forms related to the cementing service performed. Trains and provides guidance to less experienced Service Operators and Operator Assistants in the operation of some or all of the following: cement pumping and mixing equipment, blenders, liquid additive metering systems, centrifugal pumps, data acquisition systems, ADC systems, bulk cement blending, delivery and storage systems, manfolding equipment, and cementing plug releasing tools. Assists in communicating the pre-job and on-the-job progress to customer. Job tasks, correctly performed, impact indirectly on cost containment, efficiency, profitability or operations. Consequences of error are easily measured and can be confined. Skills are typically acquired through successful completion of high school or similar education and 1 year of experience as Service Operator-Cementing I. Licensure to drive commercial equipment may be required. Given the nature of oil field service work, the ability to communicate effectively with others is necessary. Promotes safety awareness and environmental consciousness, and complies with all applicable safety and environmental procedures and regulations. Ensures compliance with Health, Safety, and Environmental (HSE) regulations and guidelines. Promotes and takes an active part in quality improvement processes. A passing score on job-related tests or meeting task guidelines is required. Capable of being deployed to any rig in the work area.<br><br>Qualifications<br><br>Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.<br><br>Location<br><br>MN4 Corniche Road, Mussafah, Abu Dhabi, Abu Dhabi, , United Arab Emirates<br><br>Job Details<br><br>Requisition Number: 211754<br><br>Experience Level: Experienced Hire<br><br>Job Family: Operations<br><br>Product Service Line: Cementing<br><br>Full Time / Part Time: Full Time<br><br>Additional Locations for this position: <br><br>Compensation Information<br><br>Compensation is competitive and commensurate with experience.

<ul><li><p>Designs and develops scalable machine learning models and AI-driven solutions to address complex business challenges and enhance decision-making processes</p></li></ul><p>KEY RESPONSIBILITIES</p><ul><li><p>Work with large and complex data sets to solve challenging business problems</p></li><li><p>Efficient training and deployment of standard ML, NN, and Agentic models.</p></li><li><p>Develop, train, and optimize machine learning models using state-of-the-art algorithms and frameworks</p></li><li><p>Build production grade end-to-end ML pipelines, including data ingestion, transformation, model training, validation, and deployment</p></li><li><p>Automate workflows for model training, testing, and deployment using CI/CD pipelines and MLOps tools</p></li><li><p>Collaborate with cross-functional teams to integrate models into applications and deliver end-to-end solutions</p></li><li><p>Finetune SLMs/LLMs and build complex AI architectures</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>(3-7) years of experience in building production grade, scalable AI systems.</p></li><li><p>Expert in supervised/unsupervised learning, deep learning, NLP, computer vision, or generative AI (e.g., LLMs).</p></li><li><p>Strong ML system architecture skills</p></li><li><p>Understanding of model serving, API development (FastAPI, Flask), and optimizing model performance for real-time or batch inference.</p></li><li><p>General Knowledge of Docker, Kubernetes, CI/CD pipelines, and tools like MLflow/Kubeflow for model lifecycle management (MLOps)</p></li><li><p>Comfortable with deploying models on AWS or Azure</p></li><li><p>Minimum Educational qualifications: Bachelor’s degree in Computer Science, Engineering, or related field required</p></li><li><p>Preferred Education qualifications: Master or PhD in Computer Science or a related field.</p></li></ul><p>Skills</p><p>Machine Learning</p><p>AI-driven solutions</p><p>ML system architecture</p>

Job Description<br><br>Exceptional Hospitality Starts with You<br><br>Picture yourself brightening someone’s day. When you join our Hotels team, that’s exactly what you’ll do every time you come to work! As a Switchboard Operator, you’re not just handling incoming telephone calls – you’re spreading the light and warmth of hospitality by delivering memorable experiences that make the stay for every guest.<br><br>Responsibilities<br><br>Here's what you'll do during a typical day:<br><br>Provide exceptional phone support: Bring an upbeat and friendly attitude to all guest calls, responding promptly and professionally to inquiries and requests Maintain relevant knowledge: Stay up to date on hotel services, amenities, and operations Support emergency response: Relay accurate, detailed information to appropriate teams during emergency situations Leverage communication tools: Use PBX system, computer applications, and other technology to support daily operations<br><br>Qualifications<br><br>What It Takes to Make the Stay<br><br>At Hilton, Our Core Values Define What It Takes To Succeed Here And Guide The Qualities We Look For In Every Team Member<br><br>A passion for spreading the light and warmth of Hospitality. Acting with Integrity and always doing the right thing. Inspiring others through Leadership. A belief that Teamwork drives the best outcomes. A sense of Ownership and accountability. And a focus on the Now, bringing urgency and discipline to every moment, knowing it can make a lasting impact.<br><br>About Us<br><br>Join an Award-Winning Workplace Culture<br><br>At Hilton, we don’t just deliver exceptional experiences for our guests—we build an exceptional workplace for the Team Members who make it all possible. As a global leader in hospitality, we’ve welcomed more than 3 billion guests worldwide, all while staying true to our founding vision: to fill the earth with the light and warmth of hospitality.<br><br>Our award-winning culture has earned us repeated recognition on the World’s Best Workplaces list by Great Place to Work and Fortune. With our suite of world-class brands , and a company-wide commitment to providing the best stay for every guest, we’re setting new standards for the future of travel.<br><br>Whether you’re starting your career or exploring something new, Hilton supports your journey every step of the way. Come for the job, stay for the career—and help us make every stay a little more magical.<br><br>Curious about life at Hilton? Explore our Careers Blog to see why we’re more than a great place to stay—we’re a great place to work.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Use Data Science to Predict, Improve, and Transform Healthcare Outcomes</b></p><p><br></p><p>Al-Futtaim Health is seeking an <b>experienced Healthcare Data Scientist – Machine Learning &amp; Clinical Analytics</b> to join our HealthHub Corporate Office in Dubai Festival City.</p><p><br></p><p>This is a specialist data science role focused on predictive modelling, machine learning, clinical analytics, healthcare data integration, and AI-driven decision support across our growing healthcare network.</p><p><br></p><p><b>Important: This is not a Data Analyst, BI Analyst, Reporting Analyst, Power BI Developer, or dashboard-only role.</b></p><p><br></p><p>We are looking for a hands-on Data Scientist who has personally built, trained, tested, and evaluated predictive models using real healthcare datasets such as electronic health records, claims, pharmacy data, laboratory data, clinical activity data, or healthcare operational data.</p><p><br></p><p>The purpose of this role is to move beyond reporting what has already happened and help HealthHub predict what may happen next, optimise patient pathways, improve clinical decision-making, and support better healthcare outcomes.</p><p><br></p><p><b>About the Role</b></p><p><br></p><p>As a Healthcare Data Scientist, you will design, develop, and evaluate machine learning models and advanced analytics solutions that support clinical, operational, financial, and strategic decision-making.</p><p><br></p><p>You will work closely with clinical leadership, medical directors, operations teams, finance, IT, health informatics, and compliance stakeholders to transform complex healthcare data into predictive insights and practical healthcare solutions.</p><p><br></p><p>The role requires a strong combination of healthcare domain knowledge, statistical modelling, machine learning, Python or R, advanced SQL, healthcare data standards, and responsible healthcare AI practices.</p><p><br></p><p><b>Key Responsibilities</b></p><p><br></p><p>Build, train, test, and evaluate predictive machine learning models for healthcare use cases.</p><p>Develop models that support clinical risk prediction, patient outcomes, utilisation, readmission risk, claims analytics, revenue cycle optimisation, and care pathway improvement.</p><p>Analyse and model healthcare datasets including EHR, clinical, claims, pharmacy, laboratory, patient activity, and healthcare operational data.</p><p>Apply statistical and machine learning techniques such as logistic regression, survival analysis, classification, clustering, random forest, XGBoost, and other predictive modelling methods.</p><p>Prepare analytical datasets using advanced SQL, including cohort building, joins, window functions, longitudinal patient data, feature engineering, and data quality checks.</p><p>Work with healthcare data standards and coding systems such as ICD-10/11, CPT, SNOMED CT, LOINC, HL7, and FHIR.</p><p>Support clinical decision support, predictive analytics, healthcare AI, and data governance initiatives.</p><p>Collaborate with clinicians and operational stakeholders to translate data science outputs into practical healthcare workflows.</p><p>Evaluate model performance using appropriate metrics such as AUC, precision, recall, F1 score, sensitivity, specificity, calibration, and explainability methods.</p><p>Ensure healthcare data privacy, ethical AI use, and compliance with relevant healthcare data governance requirements.</p><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>Essential Requirements</b></p><p><br></p><p>Currently residing in the UAE.</p><p>Bachelor’s Degree in Data Science, Computer Science, Statistics, Biostatistics, Biomedical Engineering, Health Informatics, or a related quantitative discipline.</p><p>Minimum 2–5 years’ experience in data science.</p><p>Minimum 2 years’ experience working with healthcare datasets, clinical analytics, health informatics, healthcare AI, health insurance data, or health-tech data.</p><p>Proven hands-on experience building predictive models or machine learning solutions.</p><p>Advanced Python or R experience for data science, machine learning, statistical modelling, feature engineering, and model evaluation.</p><p>Advanced SQL experience for complex extraction, analytical dataset creation, cohort building, and healthcare data preparation.</p><p>Experience working with healthcare datasets such as EHR, clinical, claims, pharmacy, laboratory, patient activity, or healthcare operational data.</p><p>Understanding of healthcare coding or interoperability standards such as ICD-10/11, CPT, SNOMED CT, LOINC, HL7, or FHIR.</p><p>Ability to communicate technical outputs clearly to clinical, operational, finance, and leadership stakeholders.</p><p><br></p><p><b>Highly Desirable</b></p><p><br></p><p>Master’s Degree or PhD in Health Data Science, Biostatistics, Computational Biology, Data Science, or a related field.</p><p>Experience with UAE healthcare data environments, DHA regulations, NABIDH, Malaffi, or healthcare data residency requirements.</p><p>Experience working within a hospital, clinic network, healthcare group, health insurance provider, health-tech company, clinical analytics team, or health informatics environment.</p><p>Experience with clinical decision support systems.</p><p>Experience with SHAP, LIME, or other model explainability methods.</p><p>Experience with Power BI, Tableau, Plotly, or Dash to communicate data science outputs to leadership.</p><p><br></p><p><b>Who This Role Is Not For</b></p><p><br></p><p>This role is unlikely to be suitable if your experience is primarily focused on:</p><p><br></p><p>Power BI dashboards only.</p><p>KPI reporting only.</p><p>Excel reporting.</p><p>SQL extracts without modelling.</p><p>Descriptive analytics only.</p><p>Claims audit reporting only.</p><p>General business intelligence without predictive modelling.</p><p>Data analysis without machine learning or statistical model development.</p><p><br></p><p><b>Candidates must be able to demonstrate hands-on experience building data science or machine learning models using healthcare datasets.</b></p><p><br></p><p><b>Why Join Al-Futtaim Health?</b></p><p><br></p><p>Work from HealthHub Corporate Office in Dubai Festival City.</p><p>Opportunity to shape healthcare AI and predictive analytics across a growing healthcare network.</p><p>Work with clinical, operational, finance, and leadership stakeholders.</p><p>Exposure to healthcare datasets and real-world clinical decision-making.</p><p>Opportunity to support patient outcomes, operational efficiency, and healthcare innovation.</p><p>Competitive salary and benefits package.</p><p>Career development within one of the UAE’s leading healthcare organisations.</p></div>

Role: Machine Learning (AI) Engineer (Hybrid) Location: Remote Job Type: Full-Time Payout: $200K - $500K/yr<br>Role Overview:We are hiring for one of our clients, seeking an AI/ML Engineer to develop and deploy machine learning models that power core product features. The role involves collaborating with cross-functional teams to design scalable AI solutions that enhance user experience and operational efficiency.<br>Key Responsibilities:• Design, train, and optimize machine learning models using Python, Tensor Flow, and PyTorch frameworks.• Develop and maintain data pipelines to ensure high-quality input for model training and evaluation.• Implement MLOps practices to streamline model deployment, monitoring, and version control.• Collaborate with data scientists and software engineers to integrate AI capabilities into production systems.• Conduct performance benchmarking and A/B testing to validate model accuracy and business impact.<br>Required Skills & Qualifications:• Proficiency in Python, Tensor Flow, and PyTorch for model development and training.• Experience with MLOps tools such as MLflow, Kubeflow, or Sage Maker for deployment and monitoring.• Strong background in data preprocessing, feature engineering, and model evaluation metrics.• Familiarity with cloud platforms (AWS, GCP, or Azure) for scalable AI infrastructure.• Knowledge of software engineering best practices, including version control (Git) and CI/CD pipelines.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the advancement of AI-driven product solutions. The position involves solving complex technical challenges in a collaborative environment with access to cutting-edge tools and datasets.<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!

Role Description:<br><br>As part of our continued growth, we are expanding our Surveillance department and seeking a<br><br>skilled and dedicated Senior Surveillance Operator to join the team.<br><br>This role is crucial in maintaining the security and integrity of our Live Casino operations.<br><br>The ideal candidate will bring strong experience in surveillance within the i Gaming industry,<br><br>demonstrate a proactive attitude and show leadership capabilities during daily operations.<br><br>Responsibilities:<br><br>Monitor live gaming activities to ensure compliance with internal procedures and regulatory standards. Detect, report, and thoroughly document irregularities, suspicious behavior, and operational issues. Support internal investigations by gathering evidence, reviewing video footage, and compiling detailed incident reports. Work closely with Risk, Compliance, and Operations departments to uphold the integrity of live games. Mentor and assist Surveillance Operators, offering guidance on complex or sensitive cases. Identify and communicate potential improvements in surveillance practices and team training. Maintain strict confidentiality and uphold the highest ethical standards during all activities.<br><br><br>Requirements:<br><br>Proven experience in surveillance within the i Gaming industry or a related field; prior senior surveillance experience is preferred. Deep understanding of Live Casino operations and associated risks and compliance requirements. Demonstrated leadership skills with the ability to guide, mentor, and support team members. Exceptional analytical and decision-making skills, with a strong focus on risk detection and mitigation. High attention to detail and the ability to quickly spot irregularities in live operations. Flexibility to work 9-hour shifts, including weekends and evenings, as required in 24/7 environments. High level of professionalism, integrity, and responsibility. Strong English communication skills (written and spoken), with the ability to collaborate across departments. Proficiency in Microsoft Office 365 and familiarity with surveillance software and monitoring systems.<br><br><br>Nice to have:<br><br>Fluency in additional languages such as Serbian, Bulgarian, Spanish, German, or Portuguese. Experience with surveillance technologies and security systems (e.g., cameras, monitoring protocols). Knowledge of data analysis and reporting tools such as SQL, Tableau, or similar platforms. Experience in proposing or implementing process improvements in a compliance or security context.<br><br><br>What We Offer:<br><br>Competitive Salary with performance-based bonuses. Paid Training to ensure you are well-versed in the company’s quality standards and procedures. Career Development: Opportunities for growth within a leading international tech company.<br><br><br>Ready to Elevate Your Career? Join ARRISE Today!<br><br>About Us<br><br>ARRISE is a leading supplier of player-favorite content to the i Gaming industry. We are a software development and services company delivering end-to-end digital solutions. Headquartered in Gibraltar, with offices around the world—including Malta, Serbia, Romania, India, Canada, UAE, Brazil, Colombia, Bulgaria—we are a global team of over 11,000 talented individuals with decades of experience across multiple industries and professions. Together, we form a cross-functional powerhouse driven to deliver.

<strong>Job Description<br><br></strong><strong>About Wynn Al Marjan Island:<br><br></strong>On schedule to open in the United Arab Emirates in 2027, Wynn Al Marjan Island has been created as an opulent and entertaining beachside destination for discerning guests to play and relax. Located less than 50 minutes from Dubai International Airport, this integrated resort offering 1,530 rooms and suites, 22 restaurants and lounges, a theatre, nightclub, and five-star spa is currently under construction on a picturesque island that gracefully curves into the Arabian Gulf.<br><br><strong>About The Position<br><br></strong>Wynn Al Marjan Island is looking for a <strong>Machine Learning Operations Engineer </strong> to join our <strong>Database Marketing </strong>team.<br><br><strong>Responsibilities<br><br></strong>The primary duties and responsibilities of this role are:<br><br><ul><li> Deploy, monitor, and maintain machine learning models used across gaming marketing and player analytics. </li><li> Operationalize Data Science outputs by building automated pipelines for scoring, segmentation, and campaign ready datasets. </li><li> Ensure high reliability and uptime for model workflows, including job scheduling, error detection, and alerting. </li><li> Collaborate with Data Scientists to productionize new models, optimize runtime performance, and improve stability. </li><li> Build and maintain data pipelines supporting model features, input refreshes, and scheduled scoring processes. </li><li> Implement QA processes to identify data drift, model degradation, and operational anomalies. </li><li> Maintain version control and documentation for models, pipelines, and deployment procedures. </li><li> Partner with Campaign Operations to ensure model outputs align with business logic, targeting requirements, and production schedules. </li><li> Work with IT and infrastructure teams on compute resources, storage, and system performance. </li><li> Support model retraining cycles, testing, and controlled rollouts of updated logic. </li><li> Ensure compliance with internal data governance and security standards. <br><br></li></ul><strong>About You<br><br></strong><ul><li> Master’s or PhD in Computer Science, Engineering, Data Science, Statistics or a related technical field required. </li><li> 5+ years of experience in Data Science, ML Ops, data engineering, or production‑level machine learning environments. </li><li> Strong experience with Python, SQL, and workflow orchestration tools (Airflow or similar). </li><li> Experience working with cloud-based data platforms. </li><li> Familiarity with machine learning model lifecycle management, CI/CD pipelines, and version control (Git). </li><li> Able to translate analytical requirements into stable, production‑ready workflows. </li><li> Comfortable working in fast‑paced environments with daily and weekly operational deliverables. <br><br></li></ul><strong>About Wynn Al Marjan Island’s Benefits<br><br></strong>We offer an attractive salary, paid in Dirhams (AED), the local currency of the UAE. In addition, we offer an excellent leave policy, a healthcare package, incentive programs, and other employee benefits . The result is a package that makes this role highly attractive to outstanding applicant s seeking a career with Wynn Resorts, among the most renowned and celebrated brands in the global hospitality industry.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Supports the provision of safe, patient and family-focused quality care. Assists in the daily functioning of the unit/department in support of patient care while maintaining confidentiality. Supports the successful achievements of Clinic Operations strategic goals and the American Hospital Dubai mission and vision statement.&nbsp;Operates and administers the hospital's main telephone and emergency systems, by answering all incoming external and internal calls. Directs patients and customers to the appropriate area. Handles all emergency code calls and Public Announcements through the Public Address.<br> &nbsp;</p><br><br>Responsibilities:<br><ul> <li>Answers phone calls in a polite and cordial manner.</li> <li>Maintains proper telephone etiquette.</li> <li>Handles patient complaints and addresses them to the concerned Clinic Manager/Supervisor in a timely manner without delay.</li> <li>Assists in the orientation of new staff members to the Switchboard.</li> <li>Facilitates efficient operator function by consulting and communicating with all co-workers.</li> <li>Maintains complete product knowledge at all times of all hospital features, services and hours of operations.</li> <li>Maintains caller flow by answering calls within three rings and ensures customer cue is at a minimum.</li> <li>Transfers call to appropriate staff/departments.</li> <li>Maintains and updates hospital extensions, call lists, physicians’ names, Department Heads and contact numbers.</li> <li>Creates all required 24-hour Public Announcements through the Public Address System.</li> <li>Performs continuous weekly testing of code Blue and Green systems.</li> <li>Responds to all emergency calls promptly according to the established procedure.</li> <li>Ensures that the place of work and surrounding area is kept clean and organized at all times.</li> <li>Reports equipment failure, safety and security issues, and or/reduction of supply inventory to the Patient Relations Supervisor/Coordinator.</li></ul><br>Qualifications:<br><ul> <li>High School Graduate</li></ul><p><strong>PROFESSIONAL EXPERIENCE:</strong></p><br><ul> <li>Excellent English and Arabic verbal/written communication skills</li> <li>Basic computer literacy</li> <li>Exposure to/experience with customer service principles</li> <li>Exposure to/experience with Continous Quality Improvement (CQI) and Joint Commission International Accreditation (JCIA) principles</li> <li>Demonstrates adequate Medical Terminology</li> <li>Demonstrates computer literacy (in <i>Cerner</i> System) and efficiency</li></ul> </div>

Recent Jobs Sales Director - East Africa ...<br><br>Sep 19, 2026<br><br>Sales & Marketing <br><br>Lecturer - Mechanical & Manufacturing Engineering ...<br><br>Sep 19, 2026<br><br>Education <br><br>Lecturer - Electrical and Electronics Engineering ...<br><br>Sep 19, 2026<br><br>Education <br><br>Senior Technical Advisor (STA) – Horizon-1000 ...<br><br>Sep 19, 2026<br><br>Project Management <br><br>Lecturer Grade 12 (Civil Engineering) Re-advertisement...<br><br>Sep 19, 2026<br><br>Education <br><br>View More<br><br>Jobs<br><br>Browse Jobs Categories Match Companies<br><br>Data Entry Operator<br><br>Posted:11 hours ago<br><br>Company Details<br><br>Name:UAE Jobs<br><br>Rating: 4.5 (4 reviews) — log in to rate this company<br><br>Industry: Consulting<br><br>Website: https://applydubaijob.com<br><br>Description: applydubaijob.com is a trusted online job platform dedicated to helping job seekers find better career opportunities across Dubai, Abu Dhabi, Sharjah, Ajman, Ras Al Khaimah, the wider UAE, and other Middle East countries. The platform provides up-to-date job vacancies from various industries, making… applydubaijob.com is a trusted online job platform dedicated to helping job seekers find better career opportunities across Dubai, Abu Dhabi, Sharjah, Ajman, Ras Al Khaimah, the wider UAE, and other Middle East countries. The platform provides up-to-date job vacancies from various industries, making it easier for professionals to discover, apply, and grow their careers in the region. View more View less<br><br>More Jobs from UAE Jobs<br><br>Job Details<br><br>Job Type: Full Time<br><br>Workplace Type: On-site<br><br>Qualification: Diploma<br><br>Job Experience: Mandatory<br><br>Job Location: Dubai, United Arab Emirates<br><br>Closing Date: Undisclosed<br><br>Salary: AED 3,000 - AED 4,500 / month<br><br>Other Pay: Benefits<br><br>Job Category: Administration<br><br>Job Description<br><br>IAP Real Estate is looking for a detail-oriented and organized Data Entry Operator to join its team in Dubai. This role is ideal for individuals who have excellent data management skills and can maintain accurate records while supporting daily administrative operations.<br><br>The successful candidate will be responsible for entering and updating company data, maintaining confidential records, preparing reports, and coordinating with different departments to ensure information is accurate and up to date. Candidates who are available for immediate joining will be given preference.<br><br>Key Responsibilities<br><br> Enter and update property, client, and transaction information in the company database. Maintain accurate digital and physical records. Verify data accuracy and correct incomplete or incorrect information. Prepare spreadsheets, reports, and administrative documents as required. Organize and securely maintain confidential company records. Coordinate with relevant departments to collect and update information. Perform routine data validation, quality checks, and maintain data backups. Provide general administrative support when required.<br><br>Requirements<br><br> Previous experience in data entry or administration is preferred. Good knowledge of Microsoft Excel, Word, and Outlook. Fast and accurate typing skills. Strong attention to detail and organizational abilities. Good written and verbal communication skills. Ability to maintain confidentiality and work independently. UAE real estate experience will be an advantage. Candidates available for immediate joining are preferred. Strong knowledge of: Microsoft Excel, Word, and Outlook. Data entry, record management, and document filing. Administrative support and database maintenance. Data verification, reporting, and confidentiality procedures.<br><br>2277 open positions on Semasocial right now<br><br> 4677 open positions in Dubai, United Arab Emirates 55 posted in the last 7 days<br><br>Contact Information<br><br>Sign in to apply for this job.<br><br>Facebook Linked In X Instagram You Tube Website<br><br>CV Job Description Matcher See how well your CV matches this job and get tips to improve your chances AI Tool<br><br>This tool helps you see how closely your CV matches a job description. 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<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> <u><b>Job Purpose</b></u> <br><p><br>Control and carry out operations at the Depot to Load, receive, store and transfer petroleum products in a safe<br>and dependable manner. Operates associate pump and pipe systems.</p><br><p><strong><span>KEY ACCOUNTABILITIES</span></strong></p><br><p><br>Fuelling Operations<br>• Carry out quality checks on the tanks and pumps whenever required and complete all necessary<br>records at the Depot.<br>• Check system fuel levels in each tank and carry out the physical dip, specific gravity and temperature.<br>• Monitor storage tank dips, carrying out physical dips measures to ensure regular fuel level checks and<br>compare the results against the tank gauging system, and completing floating suction checks,<br>conductivity checks and routine serviceability checks on the tanks.<br>• Take samples from filters, tanks, pipelines and other equipment in the depot and shelters as per<br>company procedures and guidelines.<br>• Receive products by Vessels/road tanker and unload into storage tanks as per company procedures.<br>• Perform Vessel loading operation and ensure all relevant procedures are followed throughout the<br>operations<br>• Clean and maintain all sampling equipment including buckets, bottles, close-sampling systems, etc.<br>• Report to Depot Supervisor of any expected dangers or hazards, immediately.<br>• Monitor all filter, pressure and temperature gauges and report immediately on any defects.<br>• Prepare and maintain documentation of all activities and enter data into necessary records/systems.<br>• Carry other related duties as and when assigned by the Supervisor<br>HSE<br>• Comply with relevant HSE policies, procedures &amp; controls and applicable legislation and sustainability<br>guidelines in line with international standards, best practices and ADNOC Code of Practices.<br>• Perform the job safely in line with HSE procedures<br>• Ensure full compliance to PPE and other safety regulations</p><br><br><br>Job Specific Accountabilities <br><p>• Reports all Incidents and Near Misses, immediately to the supervisor<br>• Follows Company Emergency Procedures and participates in Emergency drills accordingly.<br>• Participates in safety talks/Meetings.<br>• Participate in HSE campaigns, training courses, awareness sessions and initiatives deployment to<br>ensure meeting the objectives.<br>HSE - fire-fighting Operations<br>• Carry out regular and surprise rounds of critical areas of operation as well as facilities to ensure that<br>fire equipment are in workable conditions at all times and stop/ report unsafe precedents.<br>• Inspect, clean and test fire-fighting apparatus, tools and equipment, including hose and hose fittings,<br>hydrants, ladders and hand extinguishers to ensure all firefighting equipment are in good condition<br>and ready to be used when required.<br>• Respond to fire or accident alarms from the plants control rooms, determine the approach to fire’s<br>location, make the necessary hose connections to fixed fire hydrants, and start firefighting using<br>appropriate fighting tools according to the source of fire.<br>• Participate in taking emergency actions dictated by the situation to ensure quick and immediate<br>response to the emergency.<br>• Monitor screens &amp; alarm systems in firefighting control room and communicate emergencies as per<br>ADNOC Distribution’s Procedure.</p><br><br><br><u><b>Minimum Qualification</b></u> <br><p>Secondary / High School Certificate</p><br><br><br><u><b>Minimum Experience, Knowledge &amp; Skills</b></u> <br><p>3 years of experience as a Depot Operator</p><br><p>Revenues/ Budget: As per approved financial budget<br>Direct Reports: As per organization chart<br>Indirect Reports: As per organization chart</p><br><br><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><strong><span>We help the world run better</span></strong><span><br>At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.&nbsp;</span></p><br> <p><strong>What you’ll build</strong></p><br> <p>In this role, you'll build and operationalize machine learning and AI capabilities that from idea to production and deliver measurable product value. You'll develop data move pipelines, training and inference workflows, model-serving services, APIs, and evaluation frameworks for use cases such as recommendation, forecasting, anomaly detection, classification, NLP, semantic search, and generative AI.</p><br> <p>Your work will include feature engineering, experiment design, model tuning, offline and online validation, and integration of models into scalable product architectures. You'll help improve LLM-based workflows, including prompt design, retrieval-augmented generation, vector search, guardrails, and response quality evaluation. You’ll also strengthen the engineering backbone around AI through CI/CD, monitoring, observability, testing, and model lifecycle automation so solutions are reliable, cost-aware, secure, and ready for enterprise scale.</p><br> <p><strong>What you bring:</strong></p><br> <ul> <li>You bring strong programming skills in Python, along with working knowledge of Java or Go, for building production-grade services and APIs</li> <li>You have a solid understanding of machine learning fundamentals, including supervised and unsupervised methods such as classification, regression, clustering, ranking, and recommendation systems</li> <li>You have hands-on experience with deep learning frameworks (e.g., PyTorch or TensorFlow) for model training, fine-tuning, and inference</li> <li>You demonstrate strong capabilities in data preparation, feature engineering, data validation, and model evaluation using appropriate offline and online metrics</li> <li>You have experience building, deploying, and integrating ML models into production systems through batch, real-time, or streaming pipelines</li> <li>You are familiar with generative AI concepts, including LLMs, embeddings, vector databases, prompt engineering, and retrieval-augmented generation, and how to apply them in practical use cases</li> <li>You bring working knowledge of MLOps and modern data infrastructure, including experiment tracking, model versioning, CI/CD, and tools such as Spark, Kafka, Airflow, and feature stores</li> <li>You have experience operating ML systems in production, including monitoring for drift, latency, accuracy, cost, bias, and performing debugging and failure analysis to ensure reliability and business impact</li> </ul> <p><strong>About You</strong></p><br> <ul> <li>You have 1-3+ years of experience in machine learning engineering, software engineering, or a related field, with a track record of deploying models into production</li> <li>You are passionate about building reliable, scalable ML systems and take ownership of delivering end-to-end solutions</li> <li>You balance experimentation with engineering rigor, making thoughtful trade-offs to ensure models are both innovative and production-ready</li> <li>You are a collaborative problem-solver who thrives in ambiguous environments and is motivated by delivering measurable business impact</li> </ul> <p><strong>Where you belong:</strong></p><br> <p>You will be part of a growing team of AI and industry experts dedicated to serving customers across the&nbsp;Kingdom of Saudi Arabia / United Arab Emirates. We are building a collaborative, high‑impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.</p><br> <p>This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real‑world impact matters. This is a place for people who enjoy building something new. You will thrive here if you are customer‑centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast‑evolving AI landscape.</p><br> <p><strong>About the team</strong></p><br> <p>We are a team of engineers passionate about building valuable, scalable AI frameworks that drive real business impact. We thrive on solving challenging problems, innovating with cutting-edge technologies, and collaborating closely to deliver AI systems that are reliable, high-performing, and ready for production. Our team values ownership, technical excellence, and creating solutions that stand the test of scale and complexity.</p><br> <p><strong><span>Bring out your best</span></strong><span><br>SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.&nbsp;&nbsp;<br></span><strong><span>We win with inclusion</span></strong><span><br>SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.<br>SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.<br>For SAP employees: Only permanent roles are eligible for the </span><span>SAP Employee Referral Program<span>, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.<br>Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity,&nbsp; gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.<br></span></span><span>Successful candidates might be required to undergo a background verification with an external vendor.</span></p><br> <p><strong><span>AI Usage in the Recruitment Process</span></strong></p><br> <p><span>For information on the responsible use of AI in our recruitment process, please refer to our </span><span>Guidelines for Ethical Usage of AI in the Recruiting Process</span><span>. </span></p><br> <p><span><span>Please note that any violation of these guidelines may result in disqualification from the hiring process.</span><span><br>Requisition ID: 450237 &nbsp;| Work Area: Software-Design and Development &nbsp;| Expected Travel: 0 - 10% &nbsp;| Career Status: Professional &nbsp;| Employment Type: Regular Full Time &nbsp;&nbsp;| Additional Locations: &nbsp;#LI-Hybrid<br></span></span></p><br> </div>

<strong>About Us<br><br></strong>At Dyson, we’re driven by a relentless pursuit of innovation—pushing boundaries in engineering, AI, and robotics. Our new Data Intelligence team sits at the heart of this mission: shaping Dyson’s future through data. Here, we blend creativity, precision, and audacity to power intelligent products. We craft data strategies and pipelines that fuel the next generation of connected devices.<br><br>You’ll work alongside brilliant minds from Dyson global engineering team and external software/hardware partners in an environment built for exploration, discovery, delivery and impact.<br><br><strong>About The Role<br><br></strong>We are looking for a specialized Lead Data Intelligence Machine Learning Engineer to design and implement in-house tools that automate our data labelling pipelines. Your primary goal will be to reduce our reliance on manual annotation by leveraging techniques like Active Learning, Weak Supervision, and Synthetic Data Generation. You will bridge the gap between raw data collection and model-ready datasets, ensuring high-quality labels at scale.<br><br><strong>Key Responsibilities<br><br></strong><ul><li>Architect Labelling Pipelines: Design and deploy end-to-end automated labelling systems using frameworks like Snorkel, Cleanlab, or custom active learning loops.</li><li>Develop "Human-in-the-Loop" (HITL) Systems: Build interfaces and workflows where models pre-label data and humans only intervene on high-uncertainty samples.</li><li>Quality Assurance &amp; Denoising: Implement algorithmic checks to identify and correct mislabelled or "noisy" data within existing datasets.</li><li>Tooling &amp; Integration: Collaborate with software engineers to integrate labelling tools with our existing data lakes and ML training infrastructure.</li><li>Model Optimization: Fine-tune "teacher" models to generate high-quality pseudo-labels for "student" models.</li><li>Set up and maintain robust data preparation infrastructure—optimising for data quality, speed, and seamless integration with downstream MLOps pipelines.</li><li>Perform data visualization and in-depth analysis using advanced data and feature engineering techniques. You’ll help transform raw data into actionable insight, supporting both research and deployment.</li><li>Work closely with Data Scientists, Software Engineers, and Product teams to ensure high data quality and usability across products and projects.<br><br><br></li></ul><strong>About you<br><br></strong><ul><li>At least 8+ years of professional experience in Machine Learning engineering, specifically focused on data centric-AI or computer vision/NLP pipelines.</li><li>Proficiency in Python: Mastery of the Machine Learning stack (PyTorch or TensorFlow, NumPy, Pandas, Scikit-learn).</li><li>Automated Labelling Expertise: Proven experience with Weak Supervision (labelling functions) or Active Learning strategies (uncertainty sampling, diversity sampling).</li><li>Data Engineering: Experience with SQL and NoSQL databases, and managing large-scale unstructured data (images, text, or audio).</li><li>Cloud Infrastructure: Familiarity with AWS (SageMaker Ground Truth), GCP (Vertex AI), or Azure ML labelling services.</li><li>Version Control for Data: Experience with DVC (Data Version Control) or similar tools to track dataset iterations.</li><li>Hands-on expertise building auto-labelling solutions or working with large-scale data annotation workflows.</li><li>Advanced skills in Python (and/or other relevant languages), and experience with key ML/data science libraries (e.g. TensorFlow, PyTorch, scikit-learn, pandas).</li><li>Experience designing, deploying, and maintaining scalable data pipelines, including data cleansing, transformation, and storage (cloud, on-prem, or hybrid).</li><li>Strong background in feature engineering, data analysis, and data visualization—comfortable using tools like Jupyter, Tableau, or Power BI.</li><li>Great communicator who documents solutions clearly and collaborates effortlessly across technical and non-technical teams.</li><li>Able to balance speed and quality, stay curious about new developments, and deliver results in a fast-moving environment.</li><li>Bachelor’s or Master's degree in computer science, Engineering, Mathematics, Data Science, or a related field.<br><br><br></li></ul>Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.

Build Surfbase Clubhouse at Cityland Mall into a profitable, stylish surf destination: specialty coffee, a surf and lifestyle store, e-commerce and delivery, community events, and membership pre-sales. The main wave, training pools and thermal area are not open yet, so the Welcome Zone must attract an audience and generate revenue on its own.<br>This is a founding operator role for someone energetic, commercially minded and hands-on. You will have freedom to shape the space and the business, with direct founder access and meaningful upside from the profit you create.<br>WHAT YOU WILL OWN• The full site P&L: revenue, contribution profit, costs, cash control, stock and weekly reporting• Daily café and retail operations, service standards and team scheduling• Coffee concept and menu: suppliers, recipes, cost cards, pricing, quality and waste• Surf and lifestyle assortment: sourcing, wholesale, consignment, dropship, own merchandise and visual merchandising• Shopify and e-commerce: product pages, pricing, stock, fulfilment, delivery, conversion, AOV and repeat sales• CRM, email, Whats App, Meta and Google campaigns with measurable economics• Four commercially meaningful community events per month, including one flagship event, with a budget and post-event results• Mall coordination, operational accounts and connections, reporting deadlines, licences and compliance checklists, working with our lawyer and accountant• The atmosphere of the space: surf vibe, styling, lighting, sound, small details and Instagram-worthy customer moments• Partnerships with coffee, surf, fashion, fitness, outdoor and Dubai lifestyle brands<br>WHAT WE NEED• You have personally operated or built a café, store, hospitality, lifestyle, e-commerce or community business• You can explain real numbers you owned: revenue, gross margin, contribution profit, stock turn, AOV, conversion, CAC or waste• You are obsessed with good coffee and understand what makes customers return• You have strong taste and can make a space and product range feel coherent, warm and unmistakably Surfbase• You understand or actively participate in surf, board-sports, beach or outdoor culture• You work with your own hands and do not need a large team to start• You are comfortable selling, negotiating with suppliers and solving operational problems• Fluent working English; ready to work on site and when the business needs it, including weekends• Currently in the UAE and able to start quickly<br>AI & AUTOMATIONYou will use AI as a daily operating tool for supplier and competitor research, sales and stock analysis, SOPs, reporting, CRM, content and simple automations. You must verify financial, legal, licensing and food-compliance information against primary sources and with the company lawyer or accountant. You remain responsible for every final decision and never treat unverified AI output as fact.<br>COMPENSATION• AED 5,000–6,000 monthly fixed, depending on experience• Uncapped monthly profit share: 5% of contribution profit, plus an additional 10% of the portion above AED 100,000• Contribution profit is measured after cost of goods, delivery and payment fees, packaging, waste, direct venue payroll and direct event costs; rent and central overhead are excluded• Employment visa and medical insurance• Duty coffee, employee discount and annual leave under UAE law• Six-month probation under UAE law<br>FIRST 90 DAYS• 30 days: operational audit completed; mall and compliance calendar restored; P&L dashboard live; supplier terms agreed; 40–60 opening SKUs selected; 12–15 item coffee menu with cost cards; first events and membership funnel planned• 60 days: café/store and online channels trading; delivery live; CRM operating; first partner events completed; actual sales and demand data driving decisions• 90 days: credible run-rate toward AED 100,000 monthly contribution profit; margins and stock under control; bestsellers identified; weak products stopped; scaling plan agreed<br>HOW TO APPLYApply with your CV and answer these questions:1. What business or revenue stream did you personally build, and what were the real numbers?2. Which P&L metrics did you own?3. What coffee, retail or e-commerce operation have you run?4. What four events would you launch in the first month at Surfbase?5. How would you reach the first AED 100,000 in monthly revenue?6. Where and when did you last surf or take part in a board, beach or outdoor activity?7. Give one example of using AI: what did it produce, how did you verify it, what did you correct and what result followed?8. Are you in the UAE, what is your visa status, and when can you start?9. Does AED 5,000–6,000 fixed plus the stated uncapped profit share work for you?<br>Surfbase · Cityland Mall, Dubai, UAE