Machine operator Jobs

Role: Data Protection Specialist (Remote) Location: Remote (Work from Anywhere) Payout: $40-$70/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Protection Officer (PII Compliance) to work on a contract basis. This individual will apply their expertise to help train next-generation AI systems, ensuring the protection and lawful processing of personal data. The role is critical in shaping how AI models learn, reason, and perform through high-quality, real-world input. This opportunity will allow the successful candidate to contribute to the development of frontier AI models in a global industry.<br>Key Responsibilities:• Oversee the implementation and management of PII compliance protocols, ensuring the protection and lawful processing of personal data.• Evaluate data flows and documentation to identify, classify, and mitigate risks associated with structural identifiability, including non-obvious PII and proprietary workflows.• Collaborate with cross-functional teams to develop, review, and update policies on data management, privacy, and compliance.• Provide guidance and training to team members on best practices for sensitive document handling and data protection.• Ensure compliance with relevant data protection regulations, including GDPR.<br>Required Skills & Qualifications:• Proven experience in PII compliance and data protection, with a focus on AI and machine learning.• Strong understanding of data management, data privacy, and compliance regulations.• Excellent analytical and problem-solving skills, with the ability to identify and mitigate risks.• Strong communication and interpersonal skills, with the ability to collaborate with cross-functional teams.• Experience working with data protection regulations, including GDPR.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the AI industry, contributing to the development of frontier AI models. The successful candidate will have the opportunity to work with a global team and gain experience in a rapidly growing industry.<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!

Senior AI Engineer – Fin Tech Software House – Dubai Based<br>Global leading Fin Tech software house seeks an experienced Senior AI Engineer to join their Global HQ in JLT, Dubai (UAE), leading the tactical execution of the company’s AI strategy.<br>It is essential that you are already based in Dubai as they will not pay for relocation.<br>Reporting directly into their Chief Technology Officer (CTO), you’ll join a truly global business with offices and clients based across North America, Europe and Asia, providing trading software across trading, logistics and risk management. You’ll work closely with some of the most experienced software designers, developers and business analysts in the industry, providing the trading community with the most robust, user-friendly, enterprise wide software package. You’ll join a truly world class trading software business, who continue to launch new products that evolve with the changing global technological and trading landscapes, and who have made AI the cornerstone of their business.<br>The company is executing an AI strategy which will add new capabilities and transform the operating model in addition to delivering benefits that enhance existing and emerging AI related products and services to Customers.<br>Role purpose: 100% focused on the tactical execution of the company’s AI strategy specifically in the design and implementation of AI/ML use cases built on Large Language Models (LLMs/RAG) and Natural Language Processing (NLP), Machine Learning (ML), Generative AI (Gen AI), Robotic Process Automation (RPA) and Decision Making (Agentic AI).<br>The role will deliver a broad range of prioritized use cases for internal optimization and external product benefit, therefore candidates will need skills and experience across the key AI/ML types with an estimated split of skills as follows:60% AI skills focused on AI/ML models [LLMs/NLP/ML]30% AI skills to automate, assist & augment [Gen AI, RPA, Agentic AI]10% AI skills for developing & operationalizing AI/ML).<br>This is a hands-on role for someone who can move smoothly between experimentation and production, and who has demonstrable experience in converting emerging AI/ML capabilities into measurable business outcomes.<br>Technical Roles and Responsibilities:Lead the design and implementation of AI-powered conversational experiences for an existing Saa S platform. Define the roadmap for transforming legacy workflows into chat-based, assistant-driven, and agentic user journeys. Build and optimize LLM applications using prompting, RAG, tool use, workflow orchestration, and multi-step reasoning patterns. Develop evaluation frameworks for quality, latency, accuracy, hallucination risk, safety, and business impact. Architect scalable AI services for enterprise environments, including observability, failover, auditability, and access controls. Design retrieval pipelines using structured and unstructured enterprise data sources. Establish guardrails for compliance, privacy, security, and responsible AI deployment. Partner with product, design, data, security, and go-to-market teams to define use cases and deliver production features. Implement internal use cases that enhance productivity tool content generation, product code generation, product code testing, CI/CD and engineering process efficiencies. Stay current on advances in LLMs, agent frameworks, vector search, model serving, and AI infrastructure.<br>Technical Experience and Expertise:A broad range of technology knowledge to an appropriate level of competency/qualification including but not limited to:Languages: Python, SQL, ideally Type Script or GoLLM/AI: Open AI APIs, Anthropic, open-source LLMs, embeddings, fine-tuning, evaluation Frameworks: Lang Chain, Llama Index, DSPy, Fast API, MLflow, Hugging Face Data & Retrieval: Vector databases, Elasticsearch/Open Search, metadata filtering, reranking Infra: Azure, AKS, Docker, Redis, Postgres, SQLEngineering: Graph QL service integration, distributed systems, observability, testing, CI/CDResponsible AI: Guardrails, red teaming, privacy, model risk management<br>Salary: Flexible but ideally AED 20-25k PCM + package<br>Experience sought:5+ years of software engineering, machine learning engineering, and/or applied AI experience. Masters in Computer Science, Machine Learning, Artificial Intelligence or a related field.2+ years of hands-on experience building LLM or generative AI systems in production.<br>For more information, please e-mail an up-to-date copy of your CV to Ben at jobsBR@bramwith.com

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Purpose<p><span>At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets.The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.</span></p><br><br><br><p><span>As a <strong>Data Scientist Team Lead </strong>you will manage and drive data science projects through the application of mathematical modelling, machine learning, problem structuring and big data analysis to solve complex business problems across the Emirates Group portfolio. The role will require strong skills in computer science, mathematics, statistics and creative problem solving. The job holder is a focused individual who is able to transcend the world of theory, bring it to life in the business context and collaborate successfully with cross functional teams including academic researchers, business stakeholders and information technology teams.</span></p><br><br><br><p><strong><span>In this role you will:</span></strong></p><br><br><ul><li><span>Manage team of Data Scientists, ensuring the culture, strategy and vision are passed to the teams. Aligned with the DS and EA leadership, review team capabilities and establish training/mentoring plan.</span></li><li><span>Support and drive DS execution within team, targeting and developing relationships with the key internal stakeholders and clients to continue to drive practice demand growth.</span></li><li><span>Derive business insight from large, structured, semi-structured and unstructured, data sets and work with business stakeholders to deploy insights derived from this analysis to extract commercial value.</span></li><li><span>Develop, formulate and execute big data models to solve complex business problems. Research, design, implement and validate cutting-edge algorithms to achieve targeted business outcomes using mathematical models, machine learning, operational research theories and dynamic simulations.</span></li><li><span>Build prescriptive models to identify multi-dimensional trends and patterns to understand our customers, optimise revenue and demand management plus drive efficiencies across the operational environment including aircraft operations, engineering, workforce management and catering.</span></li><li><span>Work with cross-functional team members, combining computer science and mathematics, to identify and inject high-value actionable insights into business processes at their point of highest impact. Work in quick iterations, using the techniques and algorithms best suited for solving the challenging problems of the aviation business.</span></li><li><span>Develop and recommend enhancements to existing tools with the goal of advancing the data science capabilities of the organisation. Perform validation and testing of models to ensure adequacy and reformulate models as necessary.</span></li><li><span>Clearly document and communicate the outcomes of the data science initiatives and make sure that the insights and findings can be clearly understood by business stakeholders and translated into actions.</span></li><li><span>Inspire and promote the adoption of advanced analytics and data science across the entirety of our organization and provide expertise on mathematical concepts for the broader applied analytics team.</span></li></ul><br>Qualification<p><span><strong><span>To be considered for the role, you must meet the below requirements: </span></strong></span></p><br><br><p><span><strong><span><u>Qualifications:</u></span></strong></span></p><br><br><ul><li><span>MSc/PhD in a relevant field such as data science, operations research, mathematics, science, data mining, artificial intelligence, applied statistics, machine learning or economics.</span></li></ul><br><p><span><strong><span><u>Experience:</u></span></strong></span></p><br><br><ul><li><span>7-10+ years of hands-on experience in the Analytics ecosystem including:</span></li></ul><br><ol><li><ol><li><span>Experience Managing Data Science or Analytics Teams or acting as Manager in a consulting company.</span></li><li><span>3-5 years hands-on experience with big data technologies (Spark and Hadoop ecosystem) and deep learning frameworks (Tensorflow, Keras, etc.).</span></li><li><span>5-7 years hands-on experience with SQL, R, Python.</span></li><li><span>2-4 years hands-on experience with DevOps frameworks (Git, CI/CD, Docker).</span></li><li><span>3-5 years hands-on experience building libraries and packages to be re-used by others.</span></li><li><span>3-5 years hands-on experience building DS Solutions for production usage.</span></li><li><span>Team player with a problem-solving attitude.</span></li><li><span>Experience of leading &amp; delivering advanced analytical projects to large, complex organisations in a multi-functional environment.</span></li><li><span>Able to challenge and review the quality and value generated from analytical output.</span></li><li><span>Focus on driving business value for business clients to support long term relationships. Ability to grow teams, ensuring the culture and strategy gets followed by the new hires.</span></li></ol></li></ol><br><p><span>Join us in a management role and enjoy an attractive tax-free salary. On top of our generous travel benefits, including discounted flights and hotel stays around the world, this managerial role also has an excellent leave and healthcare package. That’s on top of transport benefits, life insurance and more.</span></p><br><br>Salary &amp; benefits<p><span><span>Find out what it’s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website </span></span><span><span>www.emirates.com/careers</span></span></p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Purpose<p>Emirates Flight Training is a modern, progressive department that utilises Competency Based Training and Assessment (CBTA) methodology in all our courses and is one of the few full Evidence Based Training (EBT) operators worldwide. Through continuous professional development and standardisation, you can expect to be trained and developed in the most up to date training methodologies to ensure you meet the exacting standards required by Emirates.</p><br><br><p>Data Analytics Specialist - Flight Training will facilitate and support the data capture, data modelling and testing to enable real-time data- driven decisions that contributes to business success. Identify data capture requirements and, along with inputs from relevant teams across the department, design and implement analytics solutions using proper analytical tools. Support the development and delivery of department data roadmap in collaboration with all internal teams and other relevant internal stakeholders, such as IT and Enterprise Data &amp; Analytics (ED&amp;A) teams.</p><br><br><p><strong>In this role, you will: </strong></p><br><br><ul><li>Understand requirements for tracking, measurement and reporting across assigned department.</li><li>Develop and maintain interactive Dashboards with tools like Power BI and Microstrategy to support various stakeholders with a focus of automated, dynamic self-service data landscape.</li><li>First line responsibility for timely data delivery, dashboard uptime and accuracy and escalate any data quality issues.</li><li>Lead on the manipulation of existing programming logics and structures to fit changing technologies and business demands.</li><li>Work with Enterprise Data &amp; Analytics (ED&amp;A) data engineering team, &amp; Emirates Group IT, to test and validate the data ingestion results and quality to support delivery of the overall agreed plan. </li><li>Build expertise in data engineering tools via languages such as Dataiku / Python, and Data warehouses such as Snowflake, to assist analysts on ad-hoc data capture into Data Warehouse.</li><li>Conduct user acceptance testing (UAT) on data capture by ED&amp;A into assigned department domain at the detailed level, and address data completion and quality issues. Liaise with ED&amp;A data engineers to do the fixes as needed to ensure deployment as per plan and the requirement.</li><li>Understanding of various visualization &amp; data warehousing tools to support various stakeholders with a focus of automated, dynamic self-service data landscape.</li><li>Support the ED&amp;A data governance team in addressing data governance requirements on assigned domain and to build data catalogues. Work with the ED&amp;A Data Governance team to drive Master &amp; Reference Data and Metadata Quality and curate quality content in the Enterprise Data Platform of the Emirates Group.</li><li>Support the team to enhance knowledge sharing across assigned department in understanding and utilizing the Analytics products to make data-backed decisions.</li></ul>Qualification<p><strong>To be considered for this role, you must meet the below requirements:</strong></p><br><br><p><strong>Qualifications &amp; Experience:</strong></p><br><br><ul><li>Degree in a relevant field, such as Business Administration, Operational Research, Industrial Engineering, Information Technology etc.</li><li>5+ years of experience in Information Technology. </li><li>Experience in Administration, General administration, Data Analytics, Reporting and Dashboard Implementation.</li></ul><p>Knowledge/skills:</p><br><br><ul><li>Experience within a similar business area where there has been a strong focus on data analytics with 2 years in a supervisory role.</li><li>Experience with the implementation of initiatives that are transformational in nature.</li><li>Business Intelligence Knowledge and deep understanding of Power BI Platform and good knowledge on MicroStrategy tool.</li><li>Good understanding on Data Science, Machine Learning and AI.</li><li>Good understanding of Snowflake and SQL based data integration.</li><li>Good understanding of Microsoft suite of data collaboration and process tools like Power Apps, Sharepoint.</li><li>Collaborative contributor in the sense that they can build trusted relationships and wide networks across a range of teams and individuals in order to deliver business benefits.</li><li>Good understanding on Data Governance and its documentation.</li><li>Ability to understand different user groups needs and translate those into workable solutions suitable for all user groups.</li><li>Clear communication skills, written and verbal.</li><li>Experience of working in a multi-cultural expatriate environment.</li></ul><p>Emirates Group is an international organisation with employees from over 170 nationalities, we encourage applications from across the globe. Your application journey begins by applying via the Emirates Group Careers website. If you are shortlisted, you will be contacted within 6 weeks of the advert closing date. </p><br><br>Salary &amp; benefits<p>Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. You can find out more information about our employee benefits in the Working Here section of our website www.emirates.com/careers. Further information on what’s it like to live and work in our cosmopolitan home city, can be found in the Dubai Lifestyle section.</p><br><br><br> </div>

<ul><li><p>Be aware of client requirements, manpower types and category, level of knowledge, expected performance etc.</p></li><li><p>Develop a detailed understanding on the types of activities that will be undertaken by the employees deployed at the client site&nbsp;</p></li><li><p>Perform supervisory role for operations and manage deployment of manpower as per the requirement.</p></li><li><p>Handle contingencies and arrange immediate replacements against no-shows.</p></li><li><p>Understand safety precaution and HSE procedure that the client is instructing our employees to abide by Ensure the employees are oriented on client requirements through commonly spoken language&nbsp;</p></li><li><p>Coordinate with relevant Operational staff including&nbsp;</p></li><li><p>Timekeepers and Transport on timely reporting to duty.</p></li><li><p>Maintain deployment status ensuring full attendance&nbsp;</p></li><li><p>Ensure attendance sheets are prepared properly and forwarded to DEO (data entry operator) within 24hrs Generate daily and weekly performance reports.&nbsp;</p></li><li><p>Monitor Time & Attendance and ensure timely collection for Payroll closure.</p></li><li><p>Educate employees on the importance of following client safety procedure, working atmosphere, rest areas/timings and duty timings&nbsp;</p></li><li><p>Keep records of all employee issues and coordinate with Welfare & HR for counseling or issuance of disciplinary letters Perform frontline service recovery if required and escalate problems that they are unable to handle.</p></li><li><p>Ensure the discipline of the staff reporting to him including but not limited ensuring that breaks are documented, proper documentation are submitted&nbsp;</p></li><li><p>Conduct checks on staff performance; ensure that all PPE are used in the correct manner and take action against staff who do not comply.</p></li><li><p>Ensure that staff adheres to the code of conduct and meet the minimum grooming and hygiene standards.&nbsp;</p></li><li><p>Conduct regular tool box talks and quality inspections at site and ensure workmanship is maintained as per client’s requirements Understand and implement the company safety policies and procedures as described in the Dulsco integrated management system&nbsp;</p></li><li><p>Will be accountable and responsible for duties as described in the HSE roles and responsibilities document of IMS</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Graduate degree</p></li><li><p>MS Office, Oracle</p></li><li><p>Must have 5 years of experience in supervisory or similar role</p></li><li><p>Excellent communication skills in English & preferably other South Asian languages.</p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>MAIN OBJECTIVE OF ROLE</strong><br>To carry out all 'non destructive testing' on flydubai equipment (as a level 2) in line with all regulatory requirements and company standards. <br><strong>KEY RESPONSIBILITIES</strong><br><ul><li>Conducts a detailed analysis on all damages reported.</li><li>Conducts NDT level 2 damage testing on wing.</li><li>Prepares and submits a detailed reports on the NDT work carried out.</li><li>Works in coordination with the vendor to ensure that all required NDT is conducted appropriately.</li><li>Conducts scheduled NDT level 2 testing of all workshop equipment (wheels and brakes).</li><li>Retains currency on all qualifications and authorizations issued by Regulatory Authorities and flydubai Quality Assurance.</li><li>Demonstrates an understanding of how to: - Compile and control completed work cards. - Confirm proper accomplishment of maintenance tasks. - Determine required qualifications for task performance. - Ensure continuing airworthiness of aircraft and components. - Identify and rectify existing and potential unsafe conditions. - Identify and properly plan performance of critical maintenance tasks. - Prioritize tasks and report discrepancies. - Process the work requested by the operator. - Properly process removed, uninstalled and rejected Parts. - Properly record and sign for work accomplished. - Split complex maintenance tasks into clear stages.</li><li>Demonstrates knowledge of: - Applicable officially recognized standards - Critical maintenance tasks and how to confirm their proper accomplishment - CAR-M, CAR-145 and any other relevant Regulations - CDCCL &amp; EWIS when relevant - His/her own human performance and Limitations - Human factors, human performance and Limitations - Incorrect maintenance data and existing or potential defects - Occurrence reporting system and the importance of reporting occurrences - Organization capabilities - Privileges, personnel authorizations and limitations - Relevant parts of the maintenance organization exposition and procedures - Safety risks linked to the working environment .</li><li>Possesses: - Appropriate behavior and attitude towards safety - Professional integrity .</li></ul> <br><strong>QUALIFICATIONS</strong><br><ul><li>High School Diploma</li><li>Fluent in English</li><li>Years with qualifications: 5 - 7 years</li></ul> <br><strong>COMPETENCIES</strong><br><ul><li>Customer Focus</li><li>Teamwork</li><li>Effective Communication</li><li>Personal Accountability &amp; Commitment to achieve</li><li>Resilience &amp; Flexibility (Can do attitude)</li><li>Inspiring &amp; Developing Others</li><li>Strategic Thinking</li><li>Business Acumen</li></ul> <br><strong>ISR REQUIREMENTS</strong><br>Reads and complies with the ISR policies of the Company and diligently reports any weakness or incidents to the respective Line Manager or the Information Security team. Completes all required ISR awareness sessions and follows associated guidelines in the day-to-day business operations.<br> </div>

<p>Our Tier 1 Civil Contracting client has a new requirement for a well experienced Appointed Person (Lifting Operations) to join their team in Abu Dhabi, UAE to work on a new villa construction project. Successful candidates will have a proven background as an Appointed Person on large scale new build projects working with Tower and mobile cranes and have worked with recognised main contractors in the UAE previously This role is available for immediate joining and is hiring as an initial 6 month contract position, outsourced through J10 Consulting. Key Responsibilities: • Have proven experience of Supervising and managing site lifting operations, maintenance, inspection and load testing act activities for Site Lifting Equipment including Tower Cranes, Mobile Cranes, Crawler Cranes, Fork Lifts, Winches, Electric Hoists, PUll Lifts, Chain Blocks, Wire Rope Slings, Webbing Slings, Chain Slings, Shackles, Eye Bolts, Winches, Container / Baskets, Minimum 5 years hands on experience on maintenance, inspection Load testing & certification Trouble Shooting, auditing of cranes and other fixed / loose lifting items • Able to prepare Lifting Plans, supervise and execute critical lifting in construction company projects. • Create and review Methods Statements, Risk Assessment and Job Safety Analysis Plans. Works in line with Company HSE Policy ensures Contractors subordinate are aware of, and comply with HSE procedures, rules and regulations for Rigging / Lifting Activities. • Able to manage the process for verifying the competency of Lifting Team (Appointed Person, Lifting Supervisor, Crane Operator and Rigger / Banksman) • Have Broad based knowledge and conversant with international standards relevant to Lifting Equipment and Operations • Remain up to date with Health & Safety at Work Guidelines • Attend client and company management meetings on and off site regarding site rigging issues. • Have thorough knowledge of Local legislations • Have skills in Contracts Management of Third Party Lifting Equipment Inspection</p><p>Appointed Person Experience: Holding Bachelor Degree or Diploma in Engineering or Equivalent Professional Qualification Minimum of 6 years in Lifting Operations or as an AP LEEA Accredited Training for Lifting Operations / Lifting Appointed Person Course Have adequate knowledge in Computer Software and related applications and reporting Proficient in English Language Construction Project Experience</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Chief Executive Officer - </strong><strong>UAE | Healthcare &amp; Institutional Catering</strong></p><br><p>My client is a new player in the market, but they have a solid backing and European presence with contracts mobilising later this year already.</p><br><p>We are seeking an experienced and highly operational <strong>Chief Executive Officer</strong> to lead the establishment and growth of the UAE business, with an immediate focus on building a high-quality, commercially sustainable <strong>healthcare and institutional catering operation</strong>.</p><br><p>This is a hands-on leadership role. The successful candidate will be expected to work closely with operational teams and be directly involved in <strong>contract mobilisation, kitchen and production efficiency, staffing, procurement, food costing, quality, client relationships and service delivery</strong>.</p><br><p><strong>The Role</strong></p><br><p>The CEO will take overall responsibility for the UAE operation, driving both its commercial performance and operational excellence.</p><br><p>Key priorities will include:</p><br><ul> <li>Establishing and scaling the UAE healthcare catering business</li><li>Leading contract mobilisation and operational start-up</li><li>Driving food production, quality, cost control and service standards</li><li>Building and developing high-performing multicultural teams</li><li>Managing budgets, P&amp;L and overall commercial performance</li><li>Leading procurement, tendering, costing and contract negotiations</li><li>Developing strong relationships with healthcare clients and senior stakeholders</li><li>Implementing SOPs, controls and performance management systems</li><li>Identifying and resolving operational challenges directly and decisively</li><li>Building a scalable platform for future growth</li></ul> <p><strong>About You</strong></p><br><p>We are looking for a proven senior operator with a strong background in:</p><br><ul> <li>Healthcare or hospital catering</li><li>Large-scale institutional or contract catering</li><li>Managing complex catering operations and teams</li><li>Mobilising and establishing new contracts</li><li>Improving operational efficiency and profitability</li><li>Food production, food safety, procurement and labour management</li><li>P&amp;L ownership and commercial management</li><li>Tendering, costing and contract negotiation</li><li>Building SOPs, controls and performance frameworks</li><li>Client and senior stakeholder management</li><li>UAE or wider GCC operations and business practices</li></ul> <p>You will be a <strong>hands-on, commercially minded leader</strong> who is comfortable being close to the operation and solving problems personally when required.</p><br><p>Most importantly, you will have a demonstrable track record of <strong>building, improving, scaling or turning around a catering operation</strong>.</p><br><p>This is an opportunity to join an ambitious group at the beginning of its UAE journey and play a pivotal role in building the platform, team and operating culture from the ground up.</p><br><p>Get in touch: michelle@corecruitment.com</p><br> </div>

<ul><li>Design and implement machine learning algorithms that can handle large datasets and provide actionable insights.</li><li>Collaborate with cross-functional teams to define project requirements and deliver AI solutions that meet business needs.</li><li>Continuously optimize models for performance and accuracy through experimentation and fine-tuning.</li><li>Develop and maintain robust data pipelines to ensure high-quality data for training and validation of models.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>5+ years Python development — production-grade, not just scripting</p></li><li><p>Hands-on experience with LangGraph, LangChain, or equivalent agentic AI frameworks</p></li><li><p>Practical LLM prompt engineering: structured outputs, few-shot design, output schema enforcement</p></li><li><p>Familiarity with Azure AI Foundry / OpenAI API or equivalent LLM API (Anthropic, Cohere)</p></li><li><p>Understanding of agent design patterns: ReAct, self-reflection, tool use, HITL</p></li><li><p>REST API development and consumption; JSON schema design</p></li><li><p>Git version control; CI/CD pipeline awareness</p></li></ul><p>Technical — Advantageous</p><ul><li><p>Experience with Orkes Conductor, Apache Airflow, or Temporal for workflow orchestration</p></li><li><p>Azure AI Document Intelligence or equivalent OCR platform experience</p></li><li><p>Computer vision model integration (object detection APIs)</p></li><li><p>Knowledge of RAG architectures: chunking, vector indexing, Azure AI Search</p></li><li><p>Azure platform familiarity: AKS, ADLS Gen2, Azure ML, Azure Monitor</p></li><li><p>Pydantic, FastAPI, TypeScript/Node.js</p></li></ul><p>Qualifications</p><ul><li><p>Bachelor's degree in Computer Science, AI/ML, Software Engineering, or related field</p></li><li><p>Master's degree or equivalent research/industry experience advantageous</p></li><li><p>Relevant Azure certifications (AI Engineer Associate, Developer Associate) advantageous</p></li></ul>

<p>An opportunity for an experienced Data Scientist with deep expertise in time series forecasting, predictive modelling, and quantitative analytics. The role sits within a growing data science function supporting investment teams across private markets. Client Details The organisation combines deep industry expertise with a data-driven approach to investment decision-making and portfolio management. Description * Lead the design and deployment of advanced time series forecasting and predictive analytics models for investment applications. * Partner closely with investment professionals to uncover insights from complex datasets and support investment decisions. * Drive best practices across statistical modelling, machine learning algorithms, and quantitative research. * Mentor and develop a team of data scientists, fostering a collaborative and high-performing environment. * Evaluate and implement innovative analytical approaches that enhance forecasting accuracy and portfolio insights. Job Offer * Opportunity to influence investment outcomes within a leading private markets platform. * Exposure to complex, high-value datasets and strategic investment initiatives.</p><p>* Significant experience in Data Science, Quantitative Analytics, or a related field within financial services, asset management, or investment organisations. * Strong expertise in time series analysis, forecasting models, predictive analytics, and statistical methodologies. * Experience leading or mentoring data science teams and managing complex analytical projects. * Proficiency with Python, R, SQL, and modern data science toolsets.Exposure to AI or Generative AI concepts is advantageous, but deep expertise in LLMs, vector databases, or agentic frameworks is not required.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Whiteshield combines AI with economic expertise to solve real policy challenges.<br> In the AI Economics unit, you’ll turn data into decisions that shape how governments and businesses set policy, manage resources, and plan for growth.<br> You’ll combine AI, machine learning, geospatial analysis, and economic modelling to extract actionable intelligence from sources like satellite imagery, trade data, and macroeconomic indicators.<br> You’ll design and automate data pipelines, power interactive dashboards and rankings, and build strategy tools that deliver measurable impact.<br> Real influence and access – Shape national policy, competitiveness strategies, and sustainable growth plans while working directly with senior government officials, global institutions, and major corporations.<br> Room to innovate – If you see a better way, try it.<br> We encourage new methods and actively pilot new technologies.<br> Cutting-edge tools – Work with AI, LLMs, predictive modelling, geospatial analytics, and simulation platforms.<br> Structured growth – Learn from senior experts through hands-on mentoring and project-based skill transfer.<br> We are looking for strong data scientists and technically literate consultants.<br> We ask people to understand a problem, ideate a solution that addresses the core need, build it technically, then communicate it with clarity and confidence.<br> If you are capable of some of that and eager to develop the rest, we encourage you to apply.<br> Intellectual curiosity, problem-solving drive, and a focus on real-world impact are the priorities</span> </div>

<ol><li><p><strong>Preventive & Breakdown Maintenance:</strong> Execute routine maintenance schedules and swiftly resolve emergency breakdowns to minimize machine downtime.</p></li><li><p><strong>Mechanical Troubleshooting:</strong> Diagnose, repair, and maintain mechanical components, including spindles, bearings, hydraulics, and pneumatics.</p></li><li><p><strong>Electrical Diagnostics:</strong> Troubleshoot and fix electrical systems, covering drives, motors, sensors, and basic PLCs.</p></li><li><p><strong>System Operations:</strong> Ensure the smooth operation of major CNC control systems (e.g., Fanuc, Siemens, Mitsubishi).</p></li><li><p><strong>Installation Support:</strong> Assist in the on-site installation, setup, and commissioning of new CNC machinery.</p></li></ol><p><strong>Desired Candidate Profile</strong></p><p><strong>Technical Competencies</strong></p><ul><li><p><strong>CNC Controls:</strong> Proficient working knowledge of industry-standard controllers, specifically Fanuc, Siemens, and Mitsubishi.</p></li><li><p><strong>Electrical Diagnostics:</strong> Capable of troubleshooting and repairing drives, motors, sensors, and basic Programmable Logic Controllers (PLCs).</p></li><li><p><strong>Mechanical Expertise:</strong> Hands-on experience repairing and maintaining spindles, bearings, hydraulic, and pneumatic systems.</p></li><li><p><strong>Maintenance Execution:</strong> Strong understanding of preventive maintenance schedules, calibration for high precision, and emergency breakdown protocols.</p></li></ul><p><strong>Core Soft Skills & Work Style</strong></p><ul><li><p><strong>Problem-Solving:</strong> Highly analytical with the ability to independently diagnose root causes and implement effective, lasting repairs.</p></li><li><p><strong>Urgency & Reliability:</strong> Understands the critical nature of operational downtime and responds swiftly to emergency calls and on-site service requirements.</p></li><li><p><strong>Adaptability:</strong> Capable of supporting new machinery installations and commissioning phases.</p></li></ul><p><strong>Education & Availability</strong></p><ul><li><p>Holds a relevant Diploma, ITI, or Degree in Mechanical, Electrical, or Mechatronics Engineering.</p></li><li><p>Demonstrates that practical skill and expertise outweigh formal qualifications.</p></li><li><p>Ready and available to join the team immediately in Ajman.</p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Title <br></span><p>Manager - Production</p><br><br><br>Job Scope <br><p>The Manager - Production oversees all production operations, ensuring efficient, safe, and high-quality production. S/He is responsible of planning, resource management, equipment reliability, compliance, continuous improvement, and leading supervisors to achieve operational and business goals.</p><br><br><br>Main Duties and Responsibilities <br><p><strong>Technical and Operations </strong></p><br> <ul> <li>Plan, organize, and optimize workflows by assigning responsibilities, preparing production schedules, and balancing resources effectively;</li> <li>Lead the machine operating and fabrication teams and ensure high productivity and quality standards;</li> <li>Oversee the safe operation of fabrication equipment, ensuring preventive/corrective maintenance plans are implemented and followed;</li> <li>Identify, analyze, and coordinate corrective actions for process deviations, and equipment malfunctions;</li> <li>Ensure full compliance with safety standards, housekeeping protocols and operational policies at all times;</li> <li>Monitor production processes, identify inefficiencies, and drive continuous improvement initiatives;</li> <li>Coordinate and oversee the fabrication of generator canopies, skids, tanks, structures and sheet metal assemblies;</li> <li>Monitor performance indicators and generate regular operational, cost and productivity reports;</li> <li>Ensure close coordination with engineering, quality, procurement, and maintenance teams to ensure seamless operations and issue resolution;</li> </ul> <p><strong>Talent Development</strong></p><br> <ul> <li>Lead and coach the team cultivating empowerment and ownership;</li> <li>Develop capabilities and secure a solid succession plan;</li> <li>Conduct regular performance reviews, identify training needs and oversee development plans.</li> </ul><br><br>Position Requirements <br><br>Education <br><p>Bachelor’s Degree in Mechanical Engineering/Industrial Engineering, or any other related field.</p><br><br><br>Experience <br><p>At least 8 years of relevant experience</p><br><br><br><br> </div>

<ul><li><p>Develop and deliver well-structured, engaging lectures and coursework on AI, Machine Learning, and related subjects to undergraduate and graduate students.</p></li><li><p>Ensure that the classroom environment is conducive to learning, encouraging student interaction and participation.</p></li><li><p>Review and revise courses, programs, and assessments in line with quality assurance and enhancement standards.</p></li><li><p>Develop innovative and effective teaching methods, integrating modern AI tools and frameworks.</p></li><li><p>Provide timely, constructive feedback on student coursework, projects, and examinations.</p></li><li><p>Offer general academic support and guidance to students, addressing their concerns and referring to specialized resources when necessary.</p></li><li><p>Actively engage in faculty and program initiatives, contributing to departmental and university goals, and supporting accreditation processes.</p></li><li><p>Work collaboratively with faculty, staff, and students to ensure an enriching and productive student experience.</p></li><li><p>Perform any additional duties as requested by the Program Director or Dean.<br></p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>4+ years of professional experience in teaching AI-related subjects at the university level.</p></li><li><p>Strong proficiency in programming languages such as Python, R, Java, or C++ and familiarity with AI frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn.</p></li><li><p>Excellent verbal and written communication skills with the ability to interact effectively with students, colleagues, and the academic community.</p></li><li><p>Demonstrated ability to work collaboratively in a diverse, multicultural academic environment.</p></li><li><p>Research published in reputable journals indexed in the Scopus database</p></li><li><p>A passion for mentoring students in research and supporting their academic and professional growth.</p></li></ul>

<ul><li><p>Senior, hands-on engineer who ships, with recent production AI delivery experience.</p><ul><li><p>Production LLM and agentic AI: RAG, orchestration and multi-step agent workflows.</p></li><li><p>MLOps depth: CI/CD, model registries, monitoring and evaluation pipelines.</p></li><li><p>Strong Python and modern software-engineering practice.</p></li><li><p>Consulting-adjacent skills to work with non-technical operational stakeholders, identify the real problem and manage</p></li></ul><p>delivery end to end.</p><ul><li><p>Self-driven with minimal direction: scope the work, set the plan and drive it to production without waiting for a brief.</p></li><li><p>Technical leadership without formal authority across engineers, analysts and operational staff; ability to set adopted</p></li></ul><p>standards and influence senior stakeholders.</p><ul><li><p>Strong product mindset: user feedback, feature prioritization, technical trade-offs and adoption.</p></li><li><p>Deep AI evaluation expertise: groundedness, hallucination detection, task success, latency, safety, business KPIs, A/B testing and continuous regression testing.</p></li></ul></li><li><p>Production AI cost optimization: model selection/routing, prompt and token optimization, caching and inference-cost management.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor's in Computer Science, Machine Learning, or a related quantitative field.</p></li><li><p>5+ years of hands-on experience in deploying and managing AI/ML models in production environments.</p></li><li><p>Domain exposure to container terminals, maritime logistics, free zones or freight operations, including TOS data, gate and yard processes, customs/trade documentation, or warehouse/contract-logistics workflows.</p></li><li><p>GCC or comparable multi-country regional experience; Arabic is a plus.</p></li><li><p>Platform engineering or developer-experience background, including internal tooling adopted by other engineers.</p></li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>· Ability to provide mechanical maintenance and breakdowns troubleshoot for all kinds of machines on beverage lines.</p><p>· Ability to operate and make full overhaul for beverage lines, pneumatic circuits, and mechanical moving parts.</p><p>· Very good knowledge beverage lines machine (Sidel or KHS or Krones lines) and thorough knowledge in Injection machines.</p><p>· Must have basic knowledge of electricity.</p><p>· Plan and estimate mechanical jobs.</p><p>· Responsible for directing preventive/predictive maintenance programs designed to reduce unscheduled downtime (maximize equipment availability) downtime (maximize equipment availability to extend equipment life.</p><p>· Ability to identify mechanical spare parts requirements for all line machines</p><p>· Determine procedures for maintenance, installation, modification, and repair of mechanical assignments.</p><p>Provide basic training for all machines operators.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>A diploma in Mechanical Engineering or a related field, demonstrating foundational knowledge of mechanical principles.</li><li>Relevant certifications, such as HVAC or CNC operation, indicating specialized skills and commitment to professional development.</li><li>Experience in manufacturing or automotive sectors preferred, ensuring familiarity with industry-specific machinery.</li><li>Ability to read and interpret technical drawings and schematics, essential for effective troubleshooting and repair.</li><li>Strong mechanical aptitude and proficiency with hand and power tools required for maintenance tasks.</li><li>Detail-oriented mindset with strong analytical skills for diagnosing complex mechanical issues.</li><li>Fluency in English is essential; additional languages are a plus, enhancing collaboration in diverse work environments.</li></ul><br><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Key Responsibilities</p><ul><li>Partner with all departments to identify business processes and operational challenges that can be enhanced through Artificial Intelligence solutions.</li><li>Conduct business requirement gathering, process analysis, and feasibility assessments for AI initiatives.</li><li>Recommend suitable AI technologies, automation solutions, and digital innovations aligned with organizational objectives.</li><li>Lead and coordinate the implementation of AI projects across the organization, ensuring delivery within agreed scope, timelines, and budget.</li><li>Identify opportunities to implement AI tools and intelligent automation to support the planning, coordination, and execution of racing events, improving operational efficiency and service delivery where applicable.</li><li>Work closely with Racing Operations, Hospitality, Security, Finance, HR, Marketing, and other departments to identify event-specific AI use cases and implement practical solutions.</li><li>Coordinate with external vendors, consultants, and technology partners for the design, implementation, and ongoing support of AI solutions.</li><li>Collaborate with the IT team to ensure seamless integration of AI applications with existing enterprise systems.</li><li>Monitor the effectiveness, performance, and user adoption of implemented AI solutions, recommending enhancements where required.</li><li>Ensure all AI implementations comply with organizational IT policies, cybersecurity standards, data privacy requirements, and AI governance principles.</li><li>Identify opportunities to automate repetitive tasks and streamline workflows using AI technologies.</li><li>Develop business cases, project plans, implementation roadmaps, and management reports for AI initiatives.</li><li>Deliver training, awareness sessions, and user support to promote successful adoption of AI technologies across the organization.</li><li>Research emerging AI technologies and industry best practices, recommending innovative solutions to support continuous business improvement and digital transformation.</li><li>Develop AI governance guidelines, standards, and best practices to ensure the responsible, secure, and effective use of Artificial Intelligence.</li><li>Support organizational change management activities to facilitate successful AI adoption.</li><li>Perform any other duties assigned by the IT Manager.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>Qualifications</p><ul><li>Bachelor’s degree in computer science, Information Technology, Artificial Intelligence, Data Science, Software Engineering, or a related discipline.</li><li>Professional certifications in Artificial Intelligence, Machine Learning, Cloud Technologies, Digital Transformation, or Project Management are desirable.</li></ul><p>Experience</p><ul><li>Minimum 3 years of experience in Information Technology, including experience in AI implementation, digital transformation, business process automation, or related technology initiatives.</li><li>Experience coordinating cross-functional technology projects and engaging with business stakeholders.</li><li>Experience implementing enterprise AI platforms, Generative AI solutions, intelligent automation tools, or analytics platforms is preferred.</li></ul><p>Knowledge &amp; Skills</p><ul><li>Strong understanding of Artificial Intelligence, Generative AI, Machine Learning, Large Language Models (LLMs), and intelligent automation technologies.</li><li>Knowledge of enterprise AI platforms such as Microsoft Copilot, Azure AI, OpenAI, Google AI, or equivalent technologies.</li><li>Strong business process analysis and requirements gathering skills.</li><li>Excellent project coordination and stakeholder management capabilities.</li><li>Knowledge of AI governance, cybersecurity, and data privacy principles.</li><li>Excellent communication, presentation, analytical, and problem-solving skills.</li><li>Ability to manage multiple projects simultaneously and work collaboratively across business functions.</li></ul><p>Key Competencies</p><ul><li>Business Partnership</li><li>Innovation &amp; Digital Transformation</li><li>AI Solution Delivery</li><li>Project Coordination</li><li>Stakeholder Management</li><li>Analytical Thinking</li><li>Change Management</li><li>Customer Focus</li><li>Planning &amp; Organizing</li><li>Accountability &amp; Results Orientation</li></ul><p><br></p></div>

Job Description<br><br>About Wynn Al Marjan Island:<br><br>Wynn Al Marjan Island will be the first integrated resort in the UAE. Set to open in 2027, the resort will be located 50 miles from Dubai International Airport in the emirate of Ras Al Khaimah. The resort will offer 1,530 rooms and suites, 22 restaurants, lounges, and bars, a theater, and a beach club. It will feature multiple swimming and wading pools, a five-star spa, a salon, a shopping promenade, and a celebrations and events center.<br><br>About The Position<br><br>Wynn Al Marjan Island is currently seeking an Agent to join the resort’s Call Center Operations team.<br><br>Responsibilities<br><br>The primary duties and responsibilities of this role are:<br><br> Answer incoming calls promptly and professionally, following brand standards. Handle guest interactions across multiple communication channels including calls, email, and digital platforms, ensuring consistent service standards. Assist guests with room reservations, service requests, and general inquiries. Manage a variety of reservation and service-related requests, demonstrating flexibility across different guest touchpoints. Maintain a high standard of written and verbal communication, ensuring clarity, professionalism, and brand-aligned tone across all channels Demonstrate adaptability by supporting multiple operational functions within the call center environment as required. Demonstrate ability to multi-task across channels within the same shift and multi-skill across functions (Rooms, Restaurants, Operator, Theatre), maintain certifications and consistent service standards. Coordinate effectively with internal departments to deliver seamless guest experience. Provide accurate information about hotel services, amenities, and local attractions. Handle guest complaints or concerns with professionalism, empathy, solution-oriented thinking and escalate when necessary. Maintain detailed records of calls, requests, and follow-ups. Ensure accurate documentation of guest interactions, requests, and follow-ups across systems. Process wake-up calls, room service orders, and special arrangements. Ensure confidentiality and security of guest information. Ensure qualitative Forbes Five-Star standards are delivered in all guest interactions. Support front desk operations during peak hours or special events. Stay updated on property policies, promotions, and procedures. <br><br>About You<br><br>The ideal candidate for this position will have the following experience and qualifications:<br><br> Previous experience in a call center or customer service role preferred. Strong verbal communication and listening skills. Ability to multitask and work in a fast-paced environment. Proficiency in Microsoft Office and property management systems. Fluency in English; additional languages are a plus. Professional phone etiquette and customer-focused attitude. Shift-based schedule including weekends, holidays, and evenings. Primarily desk-based with extended periods of phone use. <br><br>About Wynn Al Marjan Island’s Benefits<br><br>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"> <span></span><p>Key Responsibilities <br></p><br><ul><li>Foster long-term relationships by engaging with clients in a professional and courteous manner.<br></li><li>Curate and deliver leisure travel experiences tailored to clients’ expectations and budgets.<br></li><li>Support clients throughout their entire booking journey, from inquiry to trip completion.<br></li><li>Handle multiple client inquiries and bookings simultaneously while maintaining accuracy and attention to detail.<br></li><li>Collaborate with colleagues, vendors, and DMCs to ensure seamless service delivery.<br></li><li>Contribute positively to a team-oriented environment by supporting colleagues and working collaboratively to achieve shared goals.<br></li></ul><br><br><span>Requirements</span><p>Skills &amp; Expertise: <br></p><br><ul><li>Bachelor’s degree or higher.<br></li><li>Proficiency in Office 365, at least one GDS system, Hotel BedBanks, and DMC interactions.<br></li><li>Comfort with CRM software, online booking platforms, and virtual client engagement tools.<br></li></ul><p>Traits &amp; Competencies: <br></p><br><ul><li>Strong attention to detail and multitasking ability.<br></li><li>Excellent communication, interpersonal, and listening skills.<br></li><li>Passion for travel and a desire to learn about new destinations and cultures.<br></li><li>Flexibility to accommodate client schedules and time zone differences.<br></li><li>Sales and service orientation with a commitment to learning, innovation, and adapting to new technologies.<br></li><li>Problem-solving skills and resourcefulness in handling unexpected challenges.<br></li><li>Cultural sensitivity and a respect for diverse backgrounds and preferences.<br></li><li>Resilience and professionalism under pressure.<br></li><li>A team player with a collaborative mindset.<br></li></ul><p>Preferred Experience: <br></p><br><ul><li>2-5 years in sales and operations at a travel agency or tour operator, specializing in customized international holidays (with knowledge of air travel and visa facilitation).<br></li><li>Fluency in written and spoken English.<br></li></ul><br><br><span>Benefits</span><p>Learning &amp; Development Opportunities: <br></p><br><ul><li>Benefit from in-house destination and airline product briefings and trainings.<br></li><li>Develop soft skills through on-the-job training and coaching.<br></li><li>Participate in travel industry events and seminars.<br></li></ul><p>Compensation &amp; Benefits: <br></p><br><ul><li>Compensation aligned with experience as an outbound leisure travel consultant.<br></li><li>UAE Residence Visa for applicants who require sponsorship.<br></li></ul><br><br> </div>

Core Responsibilities1. Market Intelligence Parachute into a chosen emerging market (e.g., Bolivia) and, in the shortest time possible, get clear on: who the target users are, how they currently buy and sell stablecoins, where the pain points are, which competitors and local players exist, and the real state of regulation and payment rails. Turn this into first-hand, decision-ready intelligence—not recycled second-hand reports.<br>2. GTM Strategy (co-create) and Execution (own) Build the full market-entry playbook together with the CEO, product, and operations—then own the execution independently: how the first 100 seed users are acquired, how the first 1,000 funded-active users are acquired, and the CAC hypothesis and validation for each channel.<br>3. Growth & Acquisition Design and personally test acquisition channels: diaspora communities, Telegram/Whats App/X communities, local KOLs/micro-influencers, community OTC agents, campus and savings groups (e.g., chama/SACCO-type), referral mechanics, and more. Prove a repeatable acquisition model on a minimal budget, and own retention—not just sign-ups.<br>4. Localized Brand Not a VI kit that looks good at HQ, but HPX's brand delivered in a way local users trust: localized messaging, trust narratives (compliance, reserves, security), and social/content presented in the local language and cultural context.<br>5. Community Penetration Find and enter the genuinely active crypto / remittance / freelancer / importer communities in the market, build HPX's presence and word-of-mouth inside them, and turn communities into a flywheel for acquisition and retention.<br>6. Team Building Start as an individual contributor; once the playbook works, recruit and lead a lean 2–3 person team (which may include local growth, community, and content roles).<br>Who We're Looking For (must-haves)- Proven hands-on "market entry / 0-to-1 growth" experience—ideally launching a to-C fintech, crypto, payments, remittance, or e-commerce business in an emerging market (Africa, Lat Am, South Asia, Southeast Asia, Central Asia). Having actually taken a product into a new country and generated real, retained users is the single most important bar for this role.- An operator, not a pure strategist / pure brand / pure media buyer. Can shape the playbook and roll up their sleeves to work communities, close KOL deals, test channels, and read the data.- Owner mindset on growth metrics: accountable for CAC, retention, and unit economics—not for "impressions" or "follower counts."- Moves fast under ambiguity: the markets we enter are often data-poor with immature infrastructure. You can make calls on incomplete information, experiment quickly, and course-correct.- Cultural sensitivity and on-the-ground ability: willing to travel frequently, and even embed short-term in the target market, and to build real relationships with locals.- Language: fluent English required;- Works side-by-side: this role is based in Dubai, working closely with the CEO, at a pace where "when we have an idea, the whole team executes fast."