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Role Description An Electrical Engineer / Quality Engineer is responsible for designing, testing, inspecting, validating, and improving electrical systems, equipment, components, products, and engineering processes while ensuring compliance with technical specifications, safety requirements, quality standards, and customer expectations. The role combines electrical engineering expertise with quality assurance, inspection, testing, defect prevention, and continuous improvement. Key responsibilities include designing and reviewing electrical systems, circuits, control panels, power-distribution systems, wiring systems, protection systems, electrical equipment, and related infrastructure; preparing electrical drawings, schematics, specifications, calculations, inspection plans, test procedures, technical reports, and engineering documentation; performing electrical load calculations, voltage-drop assessments, grounding studies, short-circuit analysis, protection coordination, and power-quality evaluations; selecting and evaluating electrical components, cables, switchgear, transformers, motors, protection devices, control equipment, instrumentation, and related materials; conducting electrical inspections, testing, commissioning, verification, and quality assessments; developing and implementing quality-control procedures, inspection standards, testing requirements, control plans, and acceptance criteria; monitoring electrical products, components, installations, and engineering processes to ensure compliance with drawings, specifications, standards, and customer requirements; identifying electrical defects, nonconformities, installation issues, process deviations, equipment failures, and quality risks; conducting root-cause analysis using methods such as 5 Whys, Fishbone Analysis, FMEA, Pareto Analysis, and other structured problem-solving techniques; developing, implementing, and monitoring corrective and preventive actions; validating corrective actions and preventing recurring quality issues; coordinating with electrical engineers, mechanical engineers, production teams, maintenance teams, project managers, suppliers, contractors, manufacturers, and customers; conducting supplier inspections, incoming-quality inspections, process inspections, and final inspections where required; reviewing supplier documentation, certificates, test reports, technical specifications, and quality records; supporting Factory Acceptance Testing (FAT), Site Acceptance Testing (SAT), commissioning, and functional verification; analyzing quality data, test results, defect trends, failure rates, process capability, and equipment performance; applying Statistical Process Control (SPC), Lean, Six Sigma, Kaizen, and other continuous-improvement methodologies; preparing quality reports, nonconformance reports, inspection records, corrective-action reports, dashboards, and management presentations; supporting internal and external audits and quality-management activities; monitoring electrical equipment reliability, maintenance performance, energy efficiency, and operational risks; identifying opportunities to improve electrical-system reliability, product quality, process efficiency, safety, and cost effectiveness; utilizing automated inspection systems, machine vision, IoT sensors, predictive analytics, AI-assisted defect detection, digital quality systems, and engineering data analytics where appropriate; supporting engineering changes, new product introduction, equipment upgrades, manufacturing improvements, and process-validation activities; and continuously improving electrical engineering performance, product quality, defect prevention, process capability, safety, reliability, and customer satisfaction. Qualifications Diploma or Bachelor's degree in Electrical Engineering, Electronics Engineering, Quality Engineering, Industrial Engineering, or a related discipline. Strong understanding of electrical engineering principles, electrical systems, power distribution, control systems, instrumentation, electrical equipment, and engineering testing. Strong knowledge of quality assurance, quality control, inspection, testing, defect prevention, and continuous-improvement methodologies. Knowledge of electrical design, load calculations, cable sizing, grounding, protection systems, control panels, and electrical installation practices. Familiarity with Auto CAD Electrical, ETAP, EPLAN, MATLAB, or equivalent engineering platforms. Strong understanding of FMEA, SPC, CAPA, 5 Whys, Fishbone Analysis, Pareto Analysis, control plans, and root-cause analysis. Familiarity with ISO 9001 and relevant electrical, engineering, manufacturing, or industry-specific quality standards. Strong analytical, troubleshooting, diagnostic, inspection, and problem-solving skills. Ability to interpret electrical drawings, schematics, technical specifications, engineering standards, inspection requirements, and test procedures. Knowledge of electrical testing, commissioning, equipment inspection, functional testing, and quality verification. Familiarity with PLCs, SCADA, automation, instrumentation, sensors, and industrial control systems is advantageous. Understanding of supplier quality, incoming inspection, production quality, process validation, and customer-quality requirements. Familiarity with Lean Manufacturing, Six Sigma, Kaizen, and continuous-improvement methodologies is beneficial. Strong proficiency in Microsoft Excel and familiarity with Power BI, statistical-analysis software, quality-management systems, or engineering databases. Familiarity with automated inspection, machine vision, IoT monitoring, predictive-quality analytics, AI-powered defect detection, and digital quality systems is advantageous. Strong technical documentation, reporting, communication, and stakeholder-management skills. Ability to collaborate effectively with engineering, production, procurement, maintenance, suppliers, contractors, project teams, and customers. Relevant certifications such as Certified Quality Engineer (CQE), Six Sigma, Lean, ISO Auditor, or professional engineering credentials are advantageous. Strong attention to detail, technical accuracy, safety awareness, accountability, and quality-focused mindset. Strong commitment to continuous improvement, engineering innovation, defect prevention, electrical-system reliability, and operational excellence.

<p>The Mechanical Engineering Manager will be responsible for leading all mechanical engineering activities during the construction, installation, commissioning, and operational phases of the BOPP manufacturing plant. The role involves coordinating with consultants, OEMs, contractors, and internal departments to ensure the successful execution of the project and efficient operation of the plant while maintaining the highest standards of safety, quality, and reliability.</p><p>Key Responsibilities</p><ol><li><p>Lead and manage all mechanical engineering activities during plant construction, machine installation, commissioning, and operations.</p></li><li><p>Review and interpret mechanical drawings, BOQs, P&IDs, technical specifications, equipment layouts, and vendor documentation to ensure proper execution.</p></li><li><p>Supervise the installation, alignment, testing, and commissioning of process machinery, utility systems, and auxiliary mechanical equipment.</p></li><li><p>Coordinate with consultants, OEMs, contractors, and cross-functional teams to ensure timely project execution and resolution of technical issues.</p></li><li><p>Review technical submissions, evaluate vendors, support procurement activities, and ensure compliance with project specifications.</p></li><li><p>Develop and implement preventive, predictive, and breakdown maintenance strategies to maximize equipment reliability and plant availability.</p></li><li><p>Troubleshoot mechanical issues, perform root cause analysis, and implement corrective and preventive actions to improve equipment performance.</p></li><li><p>Ensure compliance with HSE standards, engineering codes, quality requirements, statutory regulations, and company policies.</p></li><li><p>Manage project schedules, mechanical budgets, contractors, manpower, maintenance planning, and spare parts inventory.</p></li><li><p>Prepare engineering reports, maintenance documentation, SOPs, as-built records, and support continuous improvement initiatives across the plant.</p></li></ol><p>Qualifications</p><ul><li><p>Bachelor's Degree in Mechanical Engineering.</p></li><li><p>Professional certifications related to Project Management, Maintenance Management, or Reliability Engineering will be an added advantage.</p></li></ul><p>Experience</p><ul><li><p>Minimum 8-10 years of experience in industrial manufacturing or process industries.</p></li><li><p>Proven experience in plant construction, machine installation, commissioning, and maintenance.</p></li><li><p>Experience in BOPP, BOPET, Flexible Packaging, Plastics, Petrochemical, FMCG, or similar manufacturing industries will be preferred.</p></li></ul><p>Required Skills</p><ul><li><p>Strong knowledge of mechanical engineering principles and industrial manufacturing processes.</p></li><li><p>Ability to read and interpret engineering drawings, BOQs, P&IDs, and technical specifications.</p></li><li><p>Experience in project execution, contractor management, vendor coordination, and procurement support.</p></li><li><p>Strong understanding of industrial machinery, utility systems, maintenance planning, and troubleshooting.</p></li><li><p>Excellent analytical, problem-solving, planning, and decision-making skills.</p></li><li><p>Strong leadership, communication, and team management abilities.</p></li><li><p>Proficiency in Microsoft Office; knowledge of AutoCAD, MS Project, and CMMS software will be an added advantage.</p></li></ul><p>Working Conditions</p><ul><li><p>Full-time on-site role based at the LT FILMS INDUSTRIES LLC manufacturing facility.</p></li><li><p>The role requires regular site inspections, coordination with contractors, consultants, OEM engineers, and active involvement during construction, commissioning, and plant operations.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><p>Good ommunication skills and able to lead team </p>

Dubai-based applicants only. Applications without a proposal or pitch deck will not be reviewed.<br>The Opportunity We are the Private Family Office of UK investor and Dragons’ Den star James Caan CBE, and we are looking to partner with an experienced founder or senior operator to build and scale a leading Receivables Solutions consultancy in the Gulf.<br>Through Hamilton Bradshaw MENA, we will provide strategic investment, operational expertise and access to an established global network to accelerate an existing business or practice with proven market traction.<br>We are looking for someone with 10+ years’ experience across credit management, receivables or working capital who understands the market, has built a client base or business in this space, and sees a significant opportunity to scale.<br>This is not a traditional role. It is a founder-level partnership for someone ready to build a substantial regional business with the backing of an experienced investment partner.<br>Why Partner With Us? Investment & Growth Support: Capital and hands-on strategic support to accelerate your existing business Proven Track Record: Partner with a team that has built and backed businesses globally, including more than 20 successful exits Scaling Expertise: Access deep experience in growing people-led and professional services businesses Regional Opportunity: Build from Dubai and capture growing demand for sophisticated receivables and working capital solutions across the Gulf<br>Who We’re Looking For Dubai-based founder or senior operator10+ years’ experience in credit management, receivables, trade finance or working capital An existing business, practice or established client base Evidence of commercial traction and strong market relationships A clear vision for building a scalable, services-led consultancy Strong leadership and team-building capability<br>Areas of Opportunity Your business may operate across areas including:Accounts receivable outsourcing and optimisation Invoice-to-cash and collections transformation Receivables financing, factoring and invoice discounting Credit risk and receivables insurance advisory Cash application, reconciliation and working capital optimisation Sector-led receivables solutions across areas such as construction, logistics and SME finance<br>How to Apply Please submit your Linked In profile together with a concise proposal or pitch deck covering:Your existing business, team and capability Current clients, revenue and commercial traction Target sectors and client proposition Service and commercial model Growth opportunity across the Gulf Your roadmap for scaling The investment and strategic support you are seeking<br>Important: We are specifically looking to build a people-led, services business. Product-led or Saa S-only propositions will not be considered.

CRM & Clienteling Manager Location: Dubai, UAEReports to: General Manager / Owner The Role This is a hands-on, build-from-scratch role. You will own our customer database end to end: extracting and cleaning data from POS, segmenting our client base, designing clienteling playbooks, and — critically — driving data-capture discipline on the shop floor across all stores. You will be measured on capture rate, repeat purchase rate, and revenue from client outreach. This is not a strategy or vendor-management role. You will pull the data yourself, build the segments yourself, and train store teams in person. Responsibilities Audit, extract, and clean customer data from POS across all stores; build and maintain a single unified client database. Design and run RFM segmentation (VIP, repeat, lapsed, one-time tourist) and produce monthly insights for management, including top-client revenue concentration, reactivation opportunities, and brand cross-shopping. Build and run clienteling programs via Whats App Business and email, including post-purchase follow-up, new-arrival outreach, lapsed-client reactivation, and VIP event invitations. Set data-capture targets per store (name, phone, consent, purchase detail on 80%+ of transactions), train store teams, and audit compliance weekly on the floor. Ensure all data capture and outreach complies with UAE PDPL, including consent at capture and opt-out handling. Select and implement a low-cost CRM/clienteling tool suited to our scale and own it end to end. Track and report ROI, including repeat rate, reactivation revenue, and average spend by segment. Requirements5–8 years in retail CRM or clienteling, with at least 3 years in luxury/premium fashion or jewelry. GCC experience strongly preferred. Advanced Excel required; SQL or equivalent ability to work with raw POS exports strongly preferred. Proven, measurable results from clienteling campaigns you personally ran. Be ready to show numbers such as repeat-rate lift and reactivation revenue. Demonstrated success improving data-capture discipline in stores — you have trained and held retail teams accountable, not just managed a system. Working knowledge of Whats App Business and at least one CRM platform (Zoho, Hub Spot, Salesforce, or a clienteling app). Comfortable operating independently without a team or big budget. Nice to Have Experience at a GCC multi-brand luxury operator. Arabic and/or Russian language skills. Familiarity with UAE PDPL / data-privacy compliance in practice. Experience serving both resident and tourist luxury clientele. What We Offer Ownership of a greenfield function with direct access to ownership — your results are visible immediately. A portfolio of globally recognized brands and an established high-value client base. Competitive salary commensurate with experience. Performance bonus tied to repeat/reactivation revenue.

We're building the compliance and AML function from the ground up for a growing payments company in the UAE. This is a hands-on, build-and-own role for someone who has taken a regulated financial services entity through a licensing process before and wants to own the function end-to-end — not just support it.<br>You'll take over the compliance/AML workstreams currently bridged by external counsel and the CRO, and drive them through to filing and In-Principle Approval (IPA), then build out the institutional framework that will run the business day to day.<br>What you'll own:<br>Licensing Project Full ownership of the compliance/AML workstreams within the regulatory licensing dossier Partner directly with the CRO and external counsel through to filing and IPAReview and draft policies, regulatory correspondence and Fit & Proper (F&P) documentation Formal handover take-over with signed-off handover memo<br>AML/CFT & Sanctions Programme Stand up the full AML/CFT and sanctions framework Design policy, KYC/CDD/EDD processes, screening and transaction monitoring Build SAR/STR processes and FIU/go AML readiness<br>Compliance Management Framework Build the function from zero: Compliance Charter, compliance risk assessment, obligations register, regulatory calendar, breach management process<br>Compliance Policy & Procedure Stack Draft the full institutional policy suite: Compliance Manual, Consumer Protection, Conflicts of Interest, Whistleblowing, Code of Conduct, Outsourcing, Gifts & Hospitality<br>Business Support & Product Compliance Day-to-day advisory on new products and merchant onboarding sign-off Marketing review, partner and BIN due diligence Embed compliance-by-design into product and commercial workflows<br>Compliance Monitoring & Testing Design and run a risk-based monitoring and testing plan Control testing and Board reporting pack with KRIsBuild the regulatory reporting framework<br>Regulatory & FIU Engagement Primary interface with regulators and FIUOwn notification protocols, query handling, IPA conditions tracking and inspection readiness<br>Training & Function Build-out Roll out company-wide AML/compliance training and first-line training Deliver Board-level AML/compliance awareness sessions Define and execute the compliance team build-out plan as the business scales<br>What we're looking for:Proven experience taking a UAE payments, fintech, or financial services entity through CBUAE licensing (RPSCS/SVF or similar categories) Strong working knowledge of UAE AML/CFT regulation, FIU/go AML reporting, and CBUAE supervisory expectations Comfortable operating as a function of one initially — equally at ease drafting a policy manual and presenting a KRI pack to the Board Prior experience partnering with a CRO and external counsel through a live licensing process is a strong plus Independent, low-ego operator who can take over an in-flight workstream cleanly and keep momentum through to IPA

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span> </span><p><span><span><span>Laundry Supervisor</span></span></span>&nbsp;<br><span><span>(<span>20387</span></span></span>)</p><br> <p><span><span>Situated at the heart of Dubai’s world-renowned Meydan Racecourse, The Meydan Hotel offers an elevated hospitality experience where contemporary luxury meets dynamic energy. Overlooking&nbsp;one of&nbsp;the world’s most iconic horse racing destinations, our hotel&nbsp;offers&nbsp;exceptional culinary experiences, spacious rooms with panoramic views, and seamless service to create unforgettable moments for every guest. Whether welcoming leisure travellers, business delegates, or racing enthusiasts, we are driven by a passion to deliver personalised, heartfelt hospitality and to exceed expectations at every turn.&nbsp;</span></span></p><br> <p><strong><span>Job Summary</span></strong></p><br> <p><em><span>The Supervisor – Laundry oversees the daily operations of the laundry section, ensuring smooth workflow, consistent quality, and timely processing of guest laundry, staff uniforms, and hotel linen. This role supports the Laundry Manager by supervising team members, coordinating tasks, monitoring machine performance, and maintaining hygiene and safety standards. The Laundry Supervisor works closely with Engineering and other departments to ensure efficient service delivery while guiding, training, and motivating the laundry team to uphold the hotel’s luxury service standards.</span></em></p><br> <p><strong><span>Key Responsibilities</span></strong></p><br> <ul> <li><span>Overseeing the complete laundry operations for guest laundry, staff uniforms, and hotel linen, ensuring all processes align with The Meydan Hotel’s quality, hygiene, and safety standards.</span></li> <li><span>Post all laundry bills including Guest. Maintain all laundry related records, able to order laundry supplies using computer in absence of laundry manager.</span></li> <li><span>Supervise daily laundry operations, including sorting, washing, drying, pressing, folding, and dispatching to ensure consistent quality and timely service.</span></li> <li><span>Allocate tasks to team members, monitor performance, and ensure all staff follow established SOPs, hygiene protocols, and safety standards.</span></li> <li><span>Inspect finished laundry items for quality, stains, and damages, and take corrective actions when necessary.</span></li> <li><span>Coordinate with Housekeeping, Uniform Room, and other departments to ensure timely delivery of linen, guest laundry, and staff uniforms.</span></li> <li><span>Support the Laundry Manager in training new staff, maintaining productivity standards, and ensuring proper machine usage and handling of chemicals.</span></li> <li><span>Monitor machine functionality, report maintenance issues to Engineering, and ensure minimal downtime during operations.</span></li> <li><span>Maintain accurate daily production reports, reject logs, and inventory records of chemicals, linen, and consumables.</span></li> <li><span>Assist in planning manpower schedules and ensuring adequate staffing levels during peak operations.</span></li> <li><span>Uphold a positive work environment by guiding, motivating, and supporting the laundry team to achieve operational excellence and guest satisfaction.</span></li> </ul> <p><strong><span>Skills, Experience &amp; Educational Requirements</span></strong></p><br> <ul> <li><span>Diploma or certificate in Hospitality Management, Hotel Operations, or related field.</span></li> <li><span>Minimum 3–5 years of experience in hotel laundry operations, with at least 1–2 years in a supervisory or team lead role.</span></li> <li><span>Strong Admin work knowledge, computer proficiency is must. Must be able to operate MS office, post bills, maintain all kinds of laundry related reports, Guest oriented. </span></li> <li><span>Strong technical knowledge of laundry processes, including washing, drying, pressing, stain removal, and proper handling of different fabrics.</span></li> <li><span>Experience in operating industrial laundry equipment, chemical dosing systems, and maintaining hygiene and safety standards.</span></li> <li><span>Ability to supervise, motivate, and train laundry staff to maintain productivity and quality standards.</span></li> <li><span>Competence in monitoring daily operations, reporting production output, and managing linen inventory.</span></li> <li><span>Good communication skills and the ability to collaborate with Housekeeping, Uniform Room, and other hotel departments.</span></li> <li><span>Knowledge of preventive maintenance procedures, chemical safety, and operational SOPs.</span></li> <li><span>Proficiency in basic computer applications (MS Office) for reporting and record-keeping.</span></li> <li><span>These requirements ensure that the candidate possesses the necessary technical, operational, and leadership skills to excel as a Senior Team Leader in The Meydan Hotel laundry environment.</span></li> </ul> <p><span><span>Our company is expanding faster than ever before. We are investing in the growth of our company, and that means we are committed to investing in you. Join a team that is open-hearted, innovative, inclusive, and inspiring in spirit. We believe in making our guests happy beyond anything they have ever imagined. We wow them at every turn and create memories that will last a lifetime. You will be at the heart of this vision, to constantly innovate to deliver Amazing Experiences and Everlasting Memories.</span></span></p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span><span><strong>Role: Associate Analyst - Fraud Risk Management&nbsp;</strong></span></span></p><br><p><span><span><strong>Location: Sharjah, UAE</strong></span></span></p><br><p><span><span><strong>This position is for fresh graduates UAE Nationals only.</strong></span></span></p><br><p><span><span><strong>Role purpose:</strong></span></span></p><br><ul><li><p><span><span>Support Fraud Risk Management in improving fraud detection, prevention, sampling, verification monitoring and control effectiveness through data analytics, automation and responsible use of AI and machine learning.</span></span></p><br></li><li><p><span><span>The graduate role combines fraud-risk development with hands-on analytical, sampling, MIS and process-improvement support.</span></span></p><br></li><li><p><span><span>Under supervision, assist fraud operations, model owners, technology, data and model risk teams with data preparation, performance analysis, testing, workflow automation and documentation.&nbsp;</span></span></p><br></li></ul><p><span><span><strong>Key accountabilities/Responsibilities:&nbsp;</strong></span></span></p><br><ul><li><p><span><span>Prepare, reconcile and quality-check approved fraud datasets while maintaining confidentiality and access controls.</span></span></p><br></li><li><p><span><span>Analyze fraud model and rule performance, including alert volumes, detection coverage, confirmed outcomes, false positives, false negatives, precision, recall and efficiency.</span></span></p><br></li><li><p><span><span>Support analysis of fraud typologies, products, channels, customer segments, payment types and emerging patterns.</span></span></p><br></li><li><p><span><span>Assist controlled testing and impact assessment of fraud rules, thresholds and analytical models.</span></span></p><br></li><li><p><span><span>Support AI and machine learning use cases for detection, prioritization, anomaly identification and investigation assistance.</span></span></p><br></li><li><p><span><span>Automate repetitive data preparation, reconciliation, alert-triage support, dashboard preparation and evidence collection using approved tools.</span></span></p><br></li><li><p><span><span>Maintain dashboards, KRIs and KPIs for fraud trends, model effectiveness and operational efficiency.</span></span></p><br></li><li><p><span><span>Capture investigation feedback and outcomes to support monitoring and future tuning.</span></span></p><br></li><li><p><span><span>Support validation requests, UAT evidence, change records, issue tracking and remediation.</span></span></p><br></li><li><p><span><span>Apply explainability, fairness, data quality, privacy, security, human oversight and auditability controls.</span></span></p><br></li><li><p><span><span>Escalate unusual patterns, data concerns, unexpected model behavior and potential customer impact.</span></span></p><br></li><li><p><span><span>Support fraud, risk sampling across products, sourcing channels and customer acquisition processes, including sample extraction, evidence collation, outcome tagging and follow-up of exceptions.</span></span></p><br></li><li><p><span><span>Assist sampling reviews for application fraud, contact point verification, documentary checks, impairment indicators, syndicate-fraud signals and vendor or agency control monitoring.</span></span></p><br></li><li><p><span><span>Prepare sampling MIS and trend analysis to highlight control gaps, recurring exceptions, turnaround-time adherence and areas requiring corrective action by Fraud Risk, Operations, Underwriting or business teams.</span></span></p><br></li><li><p><span><span>Support controlled mystery-shopping, seeding, queue monitoring and alert-review analytics where required, ensuring findings are documented, escalated and linked to control improvement actions.</span></span></p><br></li></ul><p><span><span><strong>Education and experience:</strong></span></span></p><br><ul><li><p><span><span>Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Business Analytics, Finance, Economics or related discipline.</span></span></p><br></li><li><p><span><span>Fresh graduate or up to two years of relevant internship or work experience.</span></span></p><br></li><li><p><span><span>Foundation knowledge of statistics, data analysis and machine learning. Classification metrics or anomaly detection exposure is advantageous.</span></span></p><br></li><li><p><span><span>Good knowledge of Excel and PowerPoint. Exposure to Python, SQL, R, SAS, Power BI or automation tools is advantageous.</span></span></p><br></li><li><p><span><span>Strong analytical curiosity, pattern recognition, documentation and attention to detail.</span></span></p><br></li><li><p><span><span>Ability to handle confidential information and follow data, access and change-control requirements.</span></span></p><br></li><li><p><span><span>Working understanding of fraud sampling, application verification, contact point verification, preliminary investigation support, fraud MIS preparation and control-exception tracking are advantageous.</span></span></p><br></li></ul><p><span><span><strong>Early career development expectations:</strong></span></span></p><br><ul><li><p><span><span>Complete required induction, risk, conduct, data protection and role-specific learning within agreed timelines.</span></span></p><br></li><li><p><span><span>Develop from supervised task execution to reliable preparation of analyses, working papers, trackers and management materials.</span></span></p><br></li><li><p><span><span>Seek feedback, demonstrate continuous learning and build practical knowledge of ADIB products, processes and risk governance.</span></span></p><br></li><li><p><span><span>Use approved data, systems and AI tools responsibly, maintaining confidentiality, evidence and appropriate human review.</span></span></p><br></li><li><p><span><span>Demonstrate integrity, professional judgement, collaboration and timely escalation of issues or uncertainty.</span></span></p><br></li></ul><p><span><span><strong>Indicative first-year success measures:</strong></span></span></p><br><ul><li><p><span><span>Accurate and timely completion of assigned analysis, documentation, reporting and follow-up activities.</span></span></p><br></li><li><p><span><span>Complete, traceable and well-organized records with minimal rework required.</span></span></p><br></li><li><p><span><span>Constructive engagement with stakeholders and consistent adherence to approved governance and control requirements.</span></span></p><br></li><li><p><span><span>Effective support to fraud sampling cycles, including accurate sample lists, evidence packs, exception trackers and concise MIS highlighting key themes and required follow-up.</span></span></p><br></li><li><p><span><span>Visible development of technical knowledge, analytical capability and professional communication.</span></span></p><br></li><li><p><span><span>Practical contributions to at least one controlled efficiency, automation or process-improvement opportunity.</span></span></p><br></li></ul><br> </div>

métier - Strategic HR Solutions is hiring a ???????????????????? ???????????????????????????????????????? ???????????????????????????? (????????????) for one of our leading clients in Dubai, UAE.<br>This is a senior technology leadership role focused on strengthening IT governance, technology risk management, cybersecurity, architecture, compliance, and enterprise technology strategy. The role will also drive technology transformation and evaluate emerging technologies to support business growth and innovation.<br>???????????? ????????????????????????????????????????????????????????????????Lead the development and implementation of the enterprise technology roadmap aligned with business strategy. Identify and evaluate risks across application, network, infrastructure, and technology architectures. Analyze system designs, integrations, and configurations to identify security and operational vulnerabilities. Assess compliance with applicable regulatory, security, and industry standards, including ISO, ITGC, and ADHICS V2. Develop and prioritize mitigation strategies and corrective action plans to address identified risks. Strengthen IT governance, risk management, cybersecurity, and internal control frameworks. Prepare clear technology risk assessment reports and communicate findings and recommendations to Senior Management. Support internal and external IT audits, including audit planning, evidence preparation, and continuous audit readiness. Guide enterprise architecture decisions and establish appropriate technical standards. Identify and evaluate emerging technologies, including AI, machine learning, and blockchain, to support innovation and efficiency.<br>???????????????????????????????????????????????????????? & ????????????????????????????????????????Master’s degree in Information Technology, Computer Science, or a related field.15+ years of experience in IT risk management, technology, audit, consulting, or related areas. Strong experience in IT governance, cybersecurity, technology risk, and enterprise architecture. Strong knowledge of relevant frameworks and standards, including ISO, ITGC, and ADHICS V2. Experience in developing technology strategies and enterprise technology roadmaps.<br>????????????????????????????????????????????????Strong understanding of software development, cybersecurity, system architecture, and data & analytics. Excellent analytical, problem-solving, and decision-making skills. Strong leadership, communication, and stakeholder management capabilities. Ability to work effectively with Senior Management and cross-functional teams. Strong understanding of emerging technologies and their practical business applications.

Role: Statistics Expert (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $80 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Statistics Expert (PhD) to work on a contract basis. The role involves designing and implementing statistical models to analyze complex datasets and derive actionable insights. You will collaborate with cross-functional teams to support data-driven decision-making and improve business strategies.<br>Key Responsibilities:• Develop and validate statistical models to address business challenges using advanced methodologies.• Analyze large-scale datasets to identify trends, patterns, and anomalies for strategic recommendations.• Collaborate with data scientists and engineers to integrate statistical solutions into production systems.• Present findings and insights to stakeholders through clear, data-driven reports and visualizations.• Ensure statistical rigor in experimental designs, A/B testing, and hypothesis validation.<br>Required Skills & Qualifications:• PhD in Statistics, Applied Mathematics, or a related quantitative field is required.• Proficiency in statistical programming languages such as R, Python (with libraries like Num Py, Sci Py, or Pandas), or SAS.• Strong expertise in statistical modeling techniques, including regression, time series, Bayesian methods, or machine learning.• Experience with experimental design and causal inference methods for data analysis.• Ability to communicate complex statistical concepts to non-technical audiences.• Experience working with large-scale datasets and distributed computing frameworks is a plus.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Data Infrastructure and Analytics industry, contributing to high-impact projects that shape data-driven strategies. The contract includes flexible hours and the ability to work from anywhere.<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!

Job Purpose<br><br>Perform preventive, corrective and troubleshooting maintenance, and testing of all Plant Instrument Process Monitoring, Control Protective equipment with applicable procedures and guidelines.<br><br>Job Specific Accountabilities<br><br>Instrument & Control Maintenance<br><br> Carry out routine and preventive maintenance work, repair and testing of equipment in line with Standard Operating Procedures (SOP’s) and standards to fulfil the requirements of the work request or work order. Carry out preventive maintenance activities maintenance and participate in the assigned plant shutdown activities and ensure timely completion of job activities. Verify completed maintenance activities to ensure that the job is performed as per requirement and complete the maintenance activity sheet Carry out inspection and exercise vigilance to identify any developing problem in the area assigned and report any problems. Trouble shoot, repair calibrate and test various types of process control instruments and relay logic, to keep the instrumentation systems as designed. Perform preventive and emergency maintenance on all equipment on site as well as during machine scheduled or unscheduled shutdowns to ensure the availability of all equipment in reliable conditions during running and prevent unforeseen trips. Perform field and/or system modifications of control elements and/or control loops as per the plant change requests and assist to update all related plant drawings to reflect the actual changes thus enhancing the plant operation in line with the management of change of procedure. Assist in upgrading and retrofitting of new control instruments to the existing panels in the field and main control room as and when required for completion of modifications and the PCR in line with standards.<br><br>Minimum Qualification<br><br>Technical Diploma or Secondary School Certificate with a vocational trade certificate in the relevant field<br><br>Minimum Experience, Knowledge & Skills<br><br>4 years of experience<br><br>Revenues/ Budget: As per approved financial budget<br><br>Direct Reports: As per organization chart<br><br>Indirect Reports: As per organization chart<br><br>Professional Certifications<br><br>As applicable

Role: AI Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $22 - $70/hour<br>Role Overview:We are hiring for one of our clients, seeking an AI Evaluation Specialist to work on a contract basis. The role involves evaluating AI models and datasets to ensure accuracy, reliability, and performance across different use cases. This includes analyzing model outputs, identifying biases, and validating results against defined benchmarks.<br>Key Responsibilities:• Conduct structured evaluations of AI models and datasets to measure performance against predefined metrics.• Identify and document biases, errors, or inconsistencies in AI outputs and recommend improvements.• Collaborate with cross-functional teams to refine evaluation criteria and align them with business objectives.• Develop and maintain standardized evaluation frameworks for consistent assessment of AI systems.• Generate detailed reports summarizing evaluation findings, trends, and actionable recommendations.<br>Required Skills & Qualifications:• Experience with AI model evaluation, testing, and validation in a technical or research capacity.• Proficiency in machine learning frameworks such as Tensor Flow, PyTorch, or similar tools.• Strong analytical skills with the ability to interpret complex data and derive meaningful insights.• Familiarity with bias detection, fairness metrics, and ethical considerations in AI systems.• Excellent written and verbal communication skills to document findings and present recommendations.• Ability to work independently in a remote environment with minimal supervision.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of trustworthy and high-performing AI systems. Candidates will have the chance to shape evaluation standards that impact real-world applications.<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 The Data Quality Analyst at Togo AI Lab is a part-time, remote role responsible for ensuring the accuracy, completeness, and consistency of data used in AI research and products. On a day-to-day basis, this role involves reviewing datasets for anomalies, validating data against defined standards, and documenting data quality issues for the technical team. The analyst will collaborate with data engineers and data scientists to define quality metrics, design quality checks, and support the improvement of data collection and transformation processes. Typical tasks include performing data profiling, running validation queries, maintaining data dictionaries and quality reports, and communicating findings clearly to stakeholders. The role also contributes to continuous process improvement by recommending best practices for data governance, quality monitoring, and documentation. Qualifications Demonstrated experience in data analysis and data validation, including the ability to identify patterns, anomalies, and inconsistencies in structured and unstructured datasets. Proficiency with data tools such as spreadsheets, SQL, or basic scripting (e.g., Python or R) for data profiling, quality checks, and reporting. Strong analytical thinking, attention to detail, and problem-solving skills, with the ability to translate data quality findings into clear, actionable recommendations. Effective written and verbal communication skills for documenting data issues, preparing quality reports, and collaborating with technical and non-technical team members. Ability to work independently in a remote, part-time setting, manage multiple tasks, and meet deadlines with minimal supervision. Understanding of basic data governance concepts, data privacy considerations, and ethical use of data in AI applications. Bachelor’s degree or equivalent experience in a quantitative field such as Data Science, Statistics, Computer Science, Information Systems, or a related discipline. Prior experience in AI, machine learning, or research environments is beneficial but not required; interest in learning about AI and data-centric practices is highly valued.

Role: Statistician (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $80 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Statistics Expert (PhD) to work on a contract basis. The role involves designing and implementing statistical models to analyze complex datasets and derive actionable insights. You will collaborate with cross-functional teams to support data-driven decision-making and improve business strategies.<br>Key Responsibilities:• Develop and validate statistical models to address business challenges using advanced methodologies.• Analyze large-scale datasets to identify trends, patterns, and anomalies for strategic recommendations.• Collaborate with data scientists and engineers to integrate statistical solutions into production systems.• Present findings and insights to stakeholders through clear, data-driven reports and visualizations.• Ensure statistical rigor in experimental designs, A/B testing, and hypothesis validation.<br>Required Skills & Qualifications:• PhD in Statistics, Applied Mathematics, or a related quantitative field is required.• Proficiency in statistical programming languages such as R, Python (with libraries like Num Py, Sci Py, or Pandas), or SAS.• Strong expertise in statistical modeling techniques, including regression, time series, Bayesian methods, or machine learning.• Experience with experimental design and causal inference methods for data analysis.• Ability to communicate complex statistical concepts to non-technical audiences.• Experience working with large-scale datasets and distributed computing frameworks is a plus.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Data Infrastructure and Analytics industry, contributing to high-impact projects that shape data-driven strategies. The contract includes flexible hours and the ability to work from anywhere.<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: Bioinformatics Scientist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $90 - $120/hour<br>Role Overview:We are hiring for one of our clients, seeking a Computational Biology Expert to work on a contract basis. The role involves developing and implementing computational models to analyze biological data and support research initiatives. You will collaborate with cross-functional teams to deliver high-impact solutions that drive scientific discovery and innovation in [specific industry].<br>Key Responsibilities:• Develop and optimize computational models for biological data analysis, including genomics, proteomics, and metabolomics datasets.• Design and implement algorithms to process large-scale biological datasets with a focus on accuracy and scalability.• Collaborate with research teams to translate biological questions into computational frameworks and analytical pipelines.• Validate and refine models using experimental data to ensure biological relevance and predictive power.• Document methodologies, results, and findings in technical reports and presentations for internal stakeholders.<br>Required Skills & Qualifications:• PhD or Master’s degree in Computational Biology, Bioinformatics, Computer Science, or a related field.• Proficiency in programming languages such as Python, R, or MATLAB for data analysis and modeling.• Experience with biological databases, tools, and software including BLAST, Bioconductor, or similar platforms.• Strong background in statistical analysis, machine learning, and algorithm development for biological applications.• Familiarity with high-performance computing and cloud-based platforms for large-scale data processing.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Biotechnology Research industry, contributing to breakthroughs in genomic analysis and drug discovery. The position involves tackling complex biological challenges with cutting-edge computational techniques.<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: Bioinformatics Scientist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $90 - $120/hour<br>Role Overview:We are hiring for one of our clients, seeking a Computational Biology Expert to work on a contract basis. The role involves developing and implementing computational models to analyze biological data and support research initiatives. You will collaborate with cross-functional teams to deliver high-impact solutions that drive scientific discovery and innovation in [specific industry].<br>Key Responsibilities:• Develop and optimize computational models for biological data analysis, including genomics, proteomics, and metabolomics datasets.• Design and implement algorithms to process large-scale biological datasets with a focus on accuracy and scalability.• Collaborate with research teams to translate biological questions into computational frameworks and analytical pipelines.• Validate and refine models using experimental data to ensure biological relevance and predictive power.• Document methodologies, results, and findings in technical reports and presentations for internal stakeholders.<br>Required Skills & Qualifications:• PhD or Master’s degree in Computational Biology, Bioinformatics, Computer Science, or a related field.• Proficiency in programming languages such as Python, R, or MATLAB for data analysis and modeling.• Experience with biological databases, tools, and software including BLAST, Bioconductor, or similar platforms.• Strong background in statistical analysis, machine learning, and algorithm development for biological applications.• Familiarity with high-performance computing and cloud-based platforms for large-scale data processing.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Biotechnology Research industry, contributing to breakthroughs in genomic analysis and drug discovery. The position involves tackling complex biological challenges with cutting-edge computational techniques.<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: AI Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $22 - $70/hour<br>Role Overview:We are hiring for one of our clients, seeking an AI Evaluation Specialist to work on a contract basis. The role involves evaluating AI models and datasets to ensure accuracy, reliability, and performance across different use cases. This includes analyzing model outputs, identifying biases, and validating results against defined benchmarks.<br>Key Responsibilities:• Conduct structured evaluations of AI models and datasets to measure performance against predefined metrics.• Identify and document biases, errors, or inconsistencies in AI outputs and recommend improvements.• Collaborate with cross-functional teams to refine evaluation criteria and align them with business objectives.• Develop and maintain standardized evaluation frameworks for consistent assessment of AI systems.• Generate detailed reports summarizing evaluation findings, trends, and actionable recommendations.<br>Required Skills & Qualifications:• Experience with AI model evaluation, testing, and validation in a technical or research capacity.• Proficiency in machine learning frameworks such as Tensor Flow, PyTorch, or similar tools.• Strong analytical skills with the ability to interpret complex data and derive meaningful insights.• Familiarity with bias detection, fairness metrics, and ethical considerations in AI systems.• Excellent written and verbal communication skills to document findings and present recommendations.• Ability to work independently in a remote environment with minimal supervision.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of trustworthy and high-performing AI systems. Candidates will have the chance to shape evaluation standards that impact real-world applications.<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: Statistician (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $80 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Statistics Expert (PhD) to work on a contract basis. The role involves designing and implementing statistical models to analyze complex datasets and derive actionable insights. You will collaborate with cross-functional teams to support data-driven decision-making and improve business strategies.<br>Key Responsibilities:• Develop and validate statistical models to address business challenges using advanced methodologies.• Analyze large-scale datasets to identify trends, patterns, and anomalies for strategic recommendations.• Collaborate with data scientists and engineers to integrate statistical solutions into production systems.• Present findings and insights to stakeholders through clear, data-driven reports and visualizations.• Ensure statistical rigor in experimental designs, A/B testing, and hypothesis validation.<br>Required Skills & Qualifications:• PhD in Statistics, Applied Mathematics, or a related quantitative field is required.• Proficiency in statistical programming languages such as R, Python (with libraries like Num Py, Sci Py, or Pandas), or SAS.• Strong expertise in statistical modeling techniques, including regression, time series, Bayesian methods, or machine learning.• Experience with experimental design and causal inference methods for data analysis.• Ability to communicate complex statistical concepts to non-technical audiences.• Experience working with large-scale datasets and distributed computing frameworks is a plus.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Data Infrastructure and Analytics industry, contributing to high-impact projects that shape data-driven strategies. The contract includes flexible hours and the ability to work from anywhere.<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!

Company Description AZMEP LLC was established by a highly motivated team of engineers and support staff with long-standing experience in Qatar and the region. The company has successfully delivered projects across residential, commercial, hospitality, recreational, and healthcare sectors. Its portfolio includes small and large conversions, refurbishments, new builds, and multistage developments. AZMEP LLC offers applicants the opportunity to work on diverse, technically challenging projects in a collaborative, professional environment.<br>Role Description The Senior Mechanical Engineer will lead the design, development, and coordination of mechanical systems for building and infrastructure projects. Day-to-day responsibilities include preparing and reviewing mechanical drawings and calculations, overseeing CAD modeling, and ensuring compliance with relevant codes and standards. The role involves managing project timelines, collaborating with multidisciplinary teams, supervising junior engineers, and supporting site inspections and technical issue resolution. The Senior Mechanical Engineer will also contribute to research and development initiatives, optimize designs for efficiency and sustainability, and support client meetings and technical presentations. This is a full-time, on-site role based in Beirut.<br>Qualifications<br> Candidates should possess strong core Mechanical Engineering knowledge, including building services and system design. Candidates should possess skills in Machine Design and the analysis of mechanical components and assemblies. Candidates should possess proficiency in Computer-Aided Design (CAD) tools for modeling, drafting, and documentation. Candidates should possess Project Management skills, including planning, scheduling, resource coordination, and stakeholder communication. Candidates should possess experience in Research and Development (R&D), innovation in mechanical solutions, and continuous improvement initiatives. Relevant bachelor’s or master’s degree in Mechanical Engineering or a closely related field. Several years of proven experience in mechanical engineering for construction or MEP projects, preferably in similar sectors. Familiarity with international and local engineering codes and standards, and strong problem-solving and analytical abilities. Effective communication skills, ability to mentor team members, and readiness to work on-site in Beirut.

Company Description AZMEP LLC was established by a highly motivated team of engineers and support staff with long-standing experience in Qatar and the region. The company has successfully delivered projects across residential, commercial, hospitality, recreational, and healthcare sectors. Its portfolio includes small and large conversions, refurbishments, new builds, and multistage developments. AZMEP LLC offers applicants the opportunity to work on diverse, technically challenging projects in a collaborative, professional environment.<br>Role Description The Senior Mechanical Engineer will lead the design, development, and coordination of mechanical systems for building and infrastructure projects. Day-to-day responsibilities include preparing and reviewing mechanical drawings and calculations, overseeing CAD modeling, and ensuring compliance with relevant codes and standards. The role involves managing project timelines, collaborating with multidisciplinary teams, supervising junior engineers, and supporting site inspections and technical issue resolution. The Senior Mechanical Engineer will also contribute to research and development initiatives, optimize designs for efficiency and sustainability, and support client meetings and technical presentations. This is a full-time, on-site role based in Beirut.<br>Qualifications<br> Candidates should possess strong core Mechanical Engineering knowledge, including building services and system design. Candidates should possess skills in Machine Design and the analysis of mechanical components and assemblies. Candidates should possess proficiency in Computer-Aided Design (CAD) tools for modeling, drafting, and documentation. Candidates should possess Project Management skills, including planning, scheduling, resource coordination, and stakeholder communication. Candidates should possess experience in Research and Development (R&D), innovation in mechanical solutions, and continuous improvement initiatives. Relevant bachelor’s or master’s degree in Mechanical Engineering or a closely related field. Several years of proven experience in mechanical engineering for construction or MEP projects, preferably in similar sectors. Familiarity with international and local engineering codes and standards, and strong problem-solving and analytical abilities. Effective communication skills, ability to mentor team members, and readiness to work on-site in Beirut.

Role: AI Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $22 - $70/hour<br>Role Overview:We are hiring for one of our clients, seeking an AI Evaluation Specialist to work on a contract basis. The role involves evaluating AI models and datasets to ensure accuracy, reliability, and performance across different use cases. This includes analyzing model outputs, identifying biases, and validating results against defined benchmarks.<br>Key Responsibilities:• Conduct structured evaluations of AI models and datasets to measure performance against predefined metrics.• Identify and document biases, errors, or inconsistencies in AI outputs and recommend improvements.• Collaborate with cross-functional teams to refine evaluation criteria and align them with business objectives.• Develop and maintain standardized evaluation frameworks for consistent assessment of AI systems.• Generate detailed reports summarizing evaluation findings, trends, and actionable recommendations.<br>Required Skills & Qualifications:• Experience with AI model evaluation, testing, and validation in a technical or research capacity.• Proficiency in machine learning frameworks such as Tensor Flow, PyTorch, or similar tools.• Strong analytical skills with the ability to interpret complex data and derive meaningful insights.• Familiarity with bias detection, fairness metrics, and ethical considerations in AI systems.• Excellent written and verbal communication skills to document findings and present recommendations.• Ability to work independently in a remote environment with minimal supervision.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of trustworthy and high-performing AI systems. Candidates will have the chance to shape evaluation standards that impact real-world applications.<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!