CS Cart Jobs in UAE

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>Data Engineer (AWS Data Platform)&nbsp;</strong> <strong>Role Overview</strong> <p>We are seeking an experienced <strong>Data Engineer</strong> to build, optimize, and maintain enterprise-scale data platforms supporting Corporate &amp; Investment Banking operations.</p><br><br> <p>This is a core engineering role focused on designing and developing modern cloud-based data architectures using AWS technologies. The successful candidate will work across large-scale data ingestion, transformation, storage, and analytics initiatives, ensuring data platforms are scalable, secure, and highly performant.</p><br><br> <p>The ideal candidate will possess strong expertise in AWS data services, particularly <strong>Amazon Redshift, Athena, and Apache Iceberg</strong>, along with experience developing modern data lake and data warehouse solutions.</p><br><br> <strong>Key Responsibilities</strong> <ul> <li>Design, build, and maintain scalable cloud-based data platforms using AWS services </li><li>Develop and optimize data pipelines supporting enterprise analytics and reporting requirements </li><li>Implement and manage data lake and data warehouse solutions using <strong>Amazon Redshift, Athena, and Apache Iceberg</strong> </li><li>Build ETL/ELT processes for structured and unstructured datasets </li><li>Ensure data quality, reliability, governance, and performance across data platforms </li><li>Collaborate with business, analytics, and engineering teams to support data-driven initiatives </li><li>Optimize query performance, storage efficiency, and platform scalability </li><li>Implement data security and access controls aligned with enterprise standards </li><li>Support data modelling, metadata management, and data architecture initiatives </li><li>Contribute to automation, monitoring, and operational excellence across the data ecosystem </li><li>Troubleshoot and resolve platform and pipeline issues while maintaining high availability </li></ul> <strong>Required Skills &amp; Qualifications</strong> <ul> <li>5+ years of experience in <strong>Data Engineering</strong> </li><li>Strong hands-on experience with: <ul> <li><strong>Amazon Redshift</strong> </li><li><strong>Amazon Athena</strong> </li><li><strong>Apache Iceberg</strong> </li></ul> </li><li>Experience building cloud-native data lakes and data warehouse platforms </li><li>Strong SQL development and query optimization skills </li><li>Experience with ETL/ELT frameworks and data pipeline development </li><li>Strong understanding of data architecture and distributed data systems </li><li>Experience working within AWS cloud environments </li><li>Knowledge of data governance, security, and compliance standards </li><li>Strong analytical and problem-solving skills </li><li>Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field </li></ul> <strong>Preferred Skills &amp; Experience</strong> <ul> <li>Experience within <strong>Corporate Banking, Investment Banking, or Financial Services</strong> </li><li>Exposure to AWS Glue, EMR, Lambda, S3, and Lake Formation </li><li>Familiarity with modern data lakehouse architectures </li><li>Experience working within Agile and DevOps environments </li><li>AWS Certifications preferred </li><li>Exposure to real-time and streaming data architectures </li></ul> <strong>Halian Group</strong> <p>With over 28 years of experience, we have come to understand that innovation is the only way to provide agile, practical solutions that transform businesses and careers. Our resourcing and smart services help you to realise tomorrow's potential. Discover the amazing things possible when you bring the right people and the right technologies together.</p><br><br> <p>At Halian, we recognise that diversity, equity, and inclusion (DEI) are essential to building high-performing teams for our clients. We are committed to connecting organisations with top talent from all backgrounds, ensuring that every individual feels valued, respected, and empowered to contribute their unique perspectives.</p><br><br> <p>We encourage applications from all qualified candidates, regardless of race, gender, disability, or any other characteristic that makes them unique.</p><br><br> <p><strong>#LI-CC1</strong></p><br><br> <br> &nbsp; <br><br> </div>

Work Schedule<br><br>Standard (Mon-Fri)<br><br>Environmental Conditions<br><br>Laboratory Setting, Office<br><br>As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.<br><br>DESCRIPTION:<br><br>As a Technical Application Specialist at Thermo Fisher Scientific, you'll provide expert-level technical support and guidance for the Clinical Diagnostics Division (CDD) portfolio, including clinical chemistry solutions, Indiko analyzers, and toxicology applications, within the assigned territory. The role combines technical expertise with commercial acumen to support customers, develop new business opportunities, and strengthen relationships with key stakeholders.<br><br>Key Responsibilities:<br><br>Drive sales of clinical chemistry reagents, Indiko systems, and toxicology solutions across the assigned territory Identify and develop new business opportunities in hospitals, laboratories, and diagnostic centers Provide technical consultation and product demonstrations to customers Support installations, validations, and application troubleshooting in collaboration with application teams Build and maintain strong relationships with key opinion leaders (KOLs), lab managers, and procurement teams Prepare and deliver technical presentations, proposals, and quotations Achieve or exceed sales targets, margin goals, and KPIsMonitor market trends, competitor activities, and customer needs to adapt sales strategies Work closely with internal teams (marketing, service, applications, and channel partners) to ensure seamless execution Maintain accurate pipeline management and reporting through CRM tools.<br><br>Required Qualifications :<br><br>Advanced Degree or Bachelor's Degree in Biomedical Science, Clinical Chemistry, Pharmacy, Laboratory Sciences, or related field Minimum 2–5 years of experience in technical sales or application support within diagnostics or healthcare industry Strong knowledge of clinical chemistry, laboratory workflows, and/or toxicology testing Experience with automated analyzers (e.g., Indiko or similar platforms) is a strong advantage Proven track record in sales achievement and customer relationship management<br><br>Skills & Competencies:<br><br>Strong technical and commercial acumen Excellent communication and presentation skills Ability to work independently and manage multiple priorities Customer-focused with a solution-oriented mindset High level of energy, ownership, and accountability Willingness to travel across the assigned territory ( up to 50% travel time) Ability to build effective relationships with customers and cross-functional teams<br><br>Languages:<br><br>Fluent in English (required) Arabic (preferred)<br><br>Preferred Attributes:<br><br>Experience in the Middle East healthcare market Familiarity with tender processes and distributor management Ability to work in a fast-paced, matrix organization

<p>Seeking an experienced Microsoft Dynamics 365 Finance & Operations (D365 F&O) Consultant to support, enhance, and help drive the ongoing implementation and adoption of our ERP platform across the business. As a leader in the HVAC (heating, ventilation and air-conditioning) distribution and trading sector, our operations depend on robust finance, procurement, inventory, and supply-chain processes. The successful candidate will act as a bridge between business stakeholders and technical teams — gathering requirements, configuring solutions, resolving issues, and ensuring the ERP delivers measurable value. Prior involvement in a D365 implementation within a trading, distribution, or wholesale environment is strongly preferred. <br></p><ul><li><p>Functional Ownership — Serve as a functional subject-matter expert for D365 Finance & Operations, covering core Finance and Supply Chain Management modules.</p></li><li><p>Requirements — Gather, analyse, and document business requirements; translate them into functional design documents, configurations, and workable ERP solutions.</p></li><li><p>Configuration — Configure and maintain modules including General Ledger, Accounts Payable, Accounts Receivable, Fixed Assets, Cash & Bank, Budgeting, Procurement & Sourcing, Inventory Management, Trade & Logistics (Sales/Purchase Orders), and Warehouse Management.</p></li><li><p>Implementation — Support and contribute to end-to-end implementation and roll-out activities — fit-gap analysis, solution design, data migration, testing (SIT/UAT), cutover, and go-live support.</p></li><li><p>Support — Diagnose and resolve day-to-day functional issues, manage support tickets, and coordinate with Microsoft partners/vendors for escalations.</p></li><li><p>Integrations — Design and validate integrations and data flows between D365 F&O and third-party systems (e.g. CRM, e-commerce, banking, logistics, reporting/BI).</p></li><li><p>Training — Prepare training materials, conduct end-user training, and provide clear documentation for processes and configurations.</p></li><li><p>Stakeholders — Work with finance, procurement, sales, and warehouse teams to streamline and standardise trading and distribution processes within the ERP.</p></li><li><p>Governance — Support period-end/year-end financial close activities and ensure data integrity, compliance, and audit readiness.</p></li><li><p>Improvement — Contribute to continuous improvement, new feature adoption, and management of platform updates and release cycles.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor’s degree in accounting, Finance, Information Systems, Computer Science, Business Administration, or a related discipline.</p></li><li><p>Minimum 5 years of hands-on experience with Microsoft Dynamics 365 Finance & Operations</p></li><li><p>Strong functional knowledge of finance and supply-chain processes, with the ability to configure and troubleshoot across multiple modules.</p></li><li><p>Proven experience across the full ERP project lifecycle — requirements gathering, configuration, testing, data migration, and go-live support.</p></li><li><p>Solid understanding of accounting principles and trading/distribution business processes (procure-to-pay, order-to-cash, inventory and stock management).</p></li><li><p>Experience preparing functional documentation, test scripts, and delivering end-user training.</p></li><li><p>Excellent analytical, problem-solving, communication, and stakeholder-management skills.<br></p><p>Preferred / Advantageous</p><ul><li><p>Industry — Direct involvement in at least one full D365 Finance & Operations implementation within a trading, distribution, wholesale, or HVAC/industrial-products industry.</p></li><li><p>Certification — Microsoft certification such as MB-300, MB-310 (Finance), or MB-330 (Supply Chain Management).</p></li><li><p>Power Platform — Familiarity with Power Platform (Power BI, Power Apps, Power Automate) and Dataverse.</p><br></li><li><p>Key Competencies</p><ul><li><p>Strong business-process orientation with attention to detail and data accuracy.</p></li><li><p>Ability to work independently as well as within cross-functional project teams.</p></li><li><p>Effective communicator, able to translate between business and technical audiences.</p></li><li><p>Proactive, solutions-focused, and comfortable managing multiple priorities.</p></li></ul><br></li></ul></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Job Description</b>Overview<p>The AtkinsRéalis Infrastructure Business is seeking a highly motivated, detail oriented, self-starter, preferably Emirati, to join our Abu Dhabi / Dubai, UAE office as a Junior Engineer - Dry Utilities. The Engineer will support infrastructure multi-disciplinary projects for clients in GCC, including planning, designing and engineering related to dry utilities networks which may be comprised of power (MV/LV), substations, renewable energy resources, pumping stations, street lighting, telecommunication, etc.</p><br>Your role<ul><li>Technical support on large multi-disciplinary infrastructure projects delivery.</li><li>Support single and multi-disciplinary discipline bids, with a clear focus on what is needed to win.</li><li>Continue to build relationships with existing clients, securing repeat business and identifying additional business opportunities.</li><li>Report on project performance.</li><li>Ensure compliance with Health &amp; Safety regulations and ensure that a good Health &amp; Safety culture is engendered within the team.</li><li>Assist in developing a highly motivated and performing team creating opportunities for the development of individuals.</li><li>Provide technical expertise on a variety of large engineering projects.</li><li>Support in designs and budgets and drive projects from tender to delivery in a multi-disciplinary environment.</li><li>Increase your networking profile with both internal and external clients.</li></ul>About you<ul><li>B.Sc. or M.Sc. in Electrical Engineering.</li><li>The potential Emirati candidate shall have excellent interpersonal skills and strong technical writing and communications skills.</li><li>Experience and familiarity with the following programs are a plus: ArcGIS, AutoCAD, MicroStation, Dialux Software, Revit/BIM experience.</li><li>General Competencies expected of all Professionals and Managers are as follows: Client Service, Commitment, Communication, Innovation &amp; Continuous Improvement, Professionalism, Quality, and Teamwork.</li><li>Ability to process paper/electronic documents and utilize computer equipment; ability to communicate clearly both orally and in writing; ability to visit project sites if necessary.</li><li>Job also requires ability to assemble and analyse data.</li></ul><span>Rewards &amp; benefits</span><p><span>Explore the rewards and benefits that help you thrive – at every stage of your life and your career.</span></p><br><p><span>This includes:</span></p><br><ul><li>Tax-free salary.</li><li>Life insurance coverage.</li><li>Medical insurance.</li><li>Annual leave balance.</li><li>Company gratuity scheme.</li><li>Discretionary bonus program.</li><li>Annual flight contribution.</li><li>Transportation &amp; housing allowances.</li><li>Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, familycare, personal health, fitness, and nutrition.</li></ul><p><span>Seize every opportunity to sharpen your skills, expand your expertise, and be recognized for the impact you make.</span></p><br><span>About AtkinsRéalis</span><p><span>We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people. </span></p><br><p><span>Find out more.</span></p><br><b>Worker Type</b>Employee<b>Job Type</b>Regular<p><span><i>At </i></span> <i><span>AtkinsRéalis</span></i><span><i>, we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences. &nbsp;</i></span></p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span> </span><p><span><span><span>Senior, Aquarist - Atlantis the Royal</span></span></span>&nbsp;<br><span><span>(<span>20531</span></span></span>)</p><br> <p><span>A part of Kerzner International, a global leader in luxury hospitality,&nbsp;Atlantis The Royal is the most ultra-luxury experiential resort in the world.</span></p><br> <p><span>Crafted by the world’s leading designers, architects, and artists, it is a destination where everything has been designed to challenge the boundaries of imagination. Located on the crescent of the Palm Island, it features 760 Rooms, Suites, and Signature Penthouses with panoramic sea and skyline views. Guests experience impeccable service, Michelin-starred and celebrity chef dining, immersive wellness, and unforgettable moments at every turn.</span></p><br> <p><span>Behind this extraordinary destination are over 6,000 colleagues from 129 nationalities. Together, we foster a vibrant and inclusive culture where talent is nurtured, wellbeing is prioritized, and careers truly thrive.</span></p><br><p><strong>About The Role</strong></p><br> <ul> <li>Maintains a safe, clean, hygienic, and tidy environment.</li> <li>Conducts marine educational programs for guests creating enjoyable experiences by sharing in depth knowledge of marine life and our operations.</li> <li>Makes daily observations of animals, actively contributes toward diagnosis, treatment, and corrective procedures.</li> <li>Maintains animal records and departmental logbooks accurately.</li> <li>Maintains aquarium exhibits and cultures in accordance with routine and preventative maintenance programs.</li> <li>Must be available to perform all reasonable duties for any shift necessary to receive, care for and observe the animals, regardless of time, day, or location.</li> <li>Maintains a sound knowledge of the Company’s facilities and related services, and adhere to SOP’s and department manuals.</li> <li>Maintains the department standard of necessary physical condition as needed to perform all aspects of the job safely.</li> <li>Develops a professional approach to the career and function as a colleague showing consideration, tolerance, cooperation, reliability, and the ability to accept constructive criticism.</li> <li>Assists and can perform necropsy procedures as needed.</li> <li>Assists in animal acquisitions, dispositions, and receives local and imported animal collections.</li> <li>Carries out processes in introducing new species, habitats, theming, and systems following enrichment and welfare assessments and standards.</li> <li>Proactively informs, promotes, and delivers Marine Animal Adventures as an extension of the Lost Chambers Aquarium experience to guests.</li> <li>Performs necessary water quality tests and analysis, discerns results, reports any abnormal results, and contributes to the corrective action.</li> <li>Carries out consistent successful cultures and supplements as a food source for invertebrates and larval fish.</li> <li>Regularly assesses dietary needs of all animals in the collection, recommending nutritional adjustments accordingly, and maintains the records in accordance with enrichment and wellbeing standards of animals’ stock and size levels.</li> <li>Participates in scientific advancement projects through data collection, documentation, and presentation to the team.</li> <li>Maintains Inventory of supplies and equipment to par levels and involved in procurement process.</li> <li>Composes reports, email communications and accurate logs for all aquarium operations related to area of responsibility including LSS, animals, educational programs.</li> <li>Mentors Aquarists and shows leadership skills when carrying out major tasks or projects.</li> </ul> <p><strong>About You</strong></p><br> <ul> <li>PADI Rescue Scuba Certification or equivalent.</li> <li>Can communicate in a clear and professional manner, proficient in written and spoken English.</li> <li>Bachelor’s Degree, preferably in Biology, Zoology, Marine Science, or related field.</li> <li>Minimum of 4 years of experience in an Aquarist role.</li> <li>Proficient computer skills with knowledge of Microsoft package and composing reports.</li> <li>Experience in quarantining animals, applying treatment, and conducting animal transport.</li> <li>Experience in working independently and in a team.</li> <li>Experience in overseeing Saltwater and Fresh water Life Support Systems.</li> <li>Experience in animal record keeping, recording, and uploading data to online systems (OERCA/ZIMS).</li> <li>Experience in conducting behavioural, enrichment and welfare assessments.</li> <li>Completion of the E-Quarist course certification for basic Aquarist knowledge.</li> <li>Must be able to make informed decisions regarding assigned area of responsibility.</li> <li>Has worked for a zoological organization that is accredited by a regional association.</li> </ul> <p><span>We offer a competitive, tax-free salary paid in UAE Dirhams (AED), alongside a wealth of benefits. These include generous food and beverage privileges, exclusive discounted rates at all Kerzner properties worldwide, comprehensive health insurance (with dental coverage), annual flights home, life insurance, an incentive program, and a variety of colleague wellness and social initiatives.</span></p><br> <p><span>With a strong emphasis on learning and development, colleagues at Atlantis enjoy access to world-class training, career mobility, and internal growth opportunities across the Kerzner portfolio - making this an ideal environment for ambitious individuals seeking a long-term, fulfilling career in luxury hospitality. Join the A-Team and discover the extraordinary.</span></p><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>About the Role</p><p>We are seeking a highly skilled engineer to deliver production-grade AI agents and business automations — systems</p><p>engineered for reliability, scale and sustained business value in live enterprise environments. You will build agents</p><p>and workflows that take real actions across enterprise applications - querying data, interpreting documents and</p><p>emails, executing multi-system workflows, and preparing business transactions - while supporting the company's</p><p>AI and analytics roadmap throughout the AI lifecycle: preparing and integrating enterprise data, evaluating AI</p><p>vendors, tools and solutions, ensuring AI governance compliance, and building internal awareness of emerging AI</p><p>technologies.</p><p>Key Responsibilities</p><ol><li><p>AI Agent Engineering &amp; System Architecture</p></li></ol><ul><li><p>Design, develop and deploy autonomous and multi-agent systems with planning, reasoning, tool use, memory</p></li></ul><p>and state management — via agentic frameworks or direct LLM API integrations.</p><ul><li><p>Deliver agents across pro-code and low-code tiers - Azure AI Foundry, LangChain and LangGraph and</p></li></ul><p>Microsoft Copilot Studio — selecting the right tier per use case.</p><ul><li><p>Define strict tool contracts and structured output schemas, integrating agents with enterprise applications via</p></li></ul><p>REST APIs and Model Context Protocol (MCP).</p><ul><li><p>Orchestrate multi-user, role-based agentic workflows with review-before-commit human approval before any</p></li></ul><p>write-back or dispatch, built as durable, long-running processes with persistent state and resumability.</p><ol><li><p>Business Process Automation &amp; Workflow Development</p></li></ol><ul><li><p>Analyze, document and redesign repetitive processes across Finance, Procurement, Sales, Production,</p></li></ul><p>Engineering, HR and IT, selecting the right automation approach for each.</p><ul><li><p>Design, build and deploy workflows in Power Automate — approvals, notifications, escalations, scheduled</p></li></ul><p>and event-driven processes triggered via APIs and webhooks.</p><ul><li><p>Build Copilot Studio custom agents with actions, topics, knowledge sources and custom connectors to</p></li></ul><p>enterprise applications, with error handling and logging built in.</p><ol><li><p>Retrieval Engineering (RAG)</p></li></ol><ul><li><p>Build and optimize Retrieval Augmented Generation pipelines: chunking, embedding selection, hybrid search</p></li></ul><p>and re-ranking over vector databases. Continuously measure and tune retrieval quality for relevance and</p><p>precision.</p><ol><li><p>Data Engineering &amp; Integration</p></li></ol><ul><li><p>Clean, integrate and validate data from ERP, production and data-warehouse environments; build ETL</p></li></ul><p>pipelines, data mapping and quality checks feeding AI initiatives.</p><ol><li><p>Document &amp; Email Automation</p></li></ol><ul><li><p>Automate extraction and validation of data from business documents and incoming emails using OCR and AI</p></li></ul><p>document intelligence, routing low-confidence cases for human review.</p><ol><li><p>Reliability, Evaluation &amp; Observability</p></li></ol><ul><li><p>Engineer agents and workflows to mission-critical standards retries with backoff, fallbacks and circuit</p></li></ul><p>breakers, plus error handling, production monitoring and root-cause analysis.</p><ul><li><p>Trace every tool call and reasoning step. Run metrics-driven test pipelines and dashboards tracking success</p></li></ul><p>rates, latency, cost and business benefits.</p><ol><li><p>Production Deployment</p></li></ol><ul><li><p>Deploy containerized services via CI/CD to Kubernetes behind an application gateway, with centralized</p></li></ul><p>monitoring, secrets management and asynchronous messaging.</p><ol><li><p>Security &amp; Safety</p></li></ol><ul><li><p>Defend agents against prompt injection with permission boundaries, input validation and output filters;</p></li></ul><p>enforce least-privilege access and full audit trails per AI governance and standard compliance policies.</p><ol><li><p>AI Project Coordination, Research &amp; Enablement</p></li></ol><ul><li><p>Gather and document AI use-case requirements; support UAT execution and issue management through go</p></li></ul><p>live.</p><ul><li><p>Track emerging AI technologies and propose POC and pilot projects.</p></li><li><p>Support employee training in responsible AI usage and prepare guidance and onboarding documentation.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Required Qualifications &amp; Skills</p><ul><li><p>Bachelor's degree in Computer Science, Software Engineering, IT, AI/ML or related discipline.</p></li><li><p>5+ years in software engineering, automation or system integration, including 2+ years building LLM-based</p></li></ul><p>agentic systems in production.</p><ul><li><p>Hands-on experience with agentic frameworks (LangChain, LangGraph, Microsoft Agent Framework or</p></li></ul><p>comparable) and LLM APIs (Azure OpenAI or similar): tool use, structured outputs, streaming, prompt and</p><p>context engineering.</p><ul><li><p>Practical experience building RAG pipelines with vector databases (pgvector, FAISS, Azure AI Search or</p></li></ul><p>similar).</p><ul><li><p>Hands-on experience with Power Automate and Copilot Studio, and integrating enterprise applications</p></li></ul><p>through REST APIs, JSON, webhooks and MCP.</p><ul><li><p>Strong Python; frontend development with React (Vite or similar tooling) for agent-facing user interfaces;</p></li></ul><p>Solid SQL and ETL / data pipeline development.</p><ul><li><p>Experience with Microsoft Azure services (AKS, Functions, Logic Apps, Service Bus, Key Vault, Azure OpenAI /</p></li></ul><p>AI Foundry) and containerized production deployment (Docker, Kubernetes, CI/CD) strongly preferred.</p><ul><li><p>Applied ML fundamentals — forecasting, classification, optimization, recommender systems — including</p></li></ul><p>statistical validation and anomaly detection on transactional business data is a strong plus.</p><ul><li><p>Understanding of business workflows, approvals, financial controls and exception handling; strong</p></li></ul><p>communication skills in English.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>About the role</p><p>We are hiring an Azure Cloud Engineer to own the design, deployment, security, and day-to-day operation of our Microsoft Azure environment. You will be the person who keeps our cloud secure, scalable, highly available, cost-efficient, and audit-ready — across ISO 27001, NIAF, CIS Benchmarks, and ITIL v4 governance.</p><p>This is a hands-on engineering role with end-to-end ownership. You will work alongside our cybersecurity, SOC, infrastructure, application, and business teams, and report into IT/Cloud operations.</p><p>What you'll do</p><p>Cloud infrastructure &amp; architecture</p><ul><li><p>Design, provision, configure, and manage Azure cloud infrastructure, including virtual machines, virtual networks, storage accounts, databases, containers, backup services, and platform services.</p></li><li><p>Manage Azure subscriptions, management groups, resource groups, policies, naming conventions, tagging standards, and landing zone components.</p></li><li><p>Implement scalable and resilient cloud architectures aligned with business and technical requirements.</p></li><li><p>Administer hybrid connectivity, including VPN, ExpressRoute, virtual network peering, private endpoints, DNS, and secure routing.</p></li><li><p>Maintain cloud infrastructure documentation, diagrams, configuration baselines, and operational runbooks.</p></li></ul><p>Security &amp; governance</p><ul><li><p>Implement cloud security controls aligned with ISO 27001, NIAF, CIS Benchmarks, and internal security policies.</p></li><li><p>Configure and enforce IAM, RBAC, Conditional Access, MFA, Privileged Identity Management, and least-privilege access.</p></li><li><p>Enforce encryption for data at rest and in transit across cloud services.</p></li><li><p>Configure Microsoft Defender for Cloud, Microsoft Defender Suite, Microsoft Sentinel, Azure Policy, and security baselines.</p></li><li><p>Ensure cloud resources are configured securely and continuously monitored for misconfigurations, risks, and non-compliance.</p></li><li><p>Manage Entra ID integration with Azure resources, applications, and hybrid identity services.</p></li><li><p>Conduct periodic access reviews for privileged and standard cloud access.</p></li><li><p>Monitor elevated access activities and investigate privilege misuse or access anomalies.</p></li></ul><p>Monitoring &amp; operations</p><ul><li><p>Configure Azure Monitor, Log Analytics, Application Insights, Network Watcher, and service health alerts.</p></li><li><p>Integrate cloud logs and security events with Microsoft Sentinel and other SIEM/SOC monitoring platforms.</p></li><li><p>Monitor cloud performance, availability, security events, resource utilization, and compliance status.</p></li><li><p>Create operational dashboards, compliance reports, capacity reports, and security posture reports.</p></li><li><p>Investigate cloud alerts related to suspicious activity, failed authentication, policy violations, network exposure, and configuration drift.</p></li><li><p>Coordinate with the SOC team to respond to cloud security incidents and threat exposure findings.</p></li></ul><p>Cost &amp; resilience</p><ul><li><p>Monitor Azure consumption, resource utilization, reservations, and cost trends.</p></li><li><p>Identify and remediate unused, underutilized, oversized, or non-compliant resources.</p></li><li><p>Apply cost optimization strategies, including right-sizing, reserved instances, savings plans, storage tiering, automation, and lifecycle policies.</p></li><li><p>Implement Azure Backup, Azure Site Recovery, Recovery Services Vaults, backup policies, and recovery testing procedures.</p></li></ul><p>Compliance &amp; change management</p><ul><li><p>Maintain cloud asset inventories, access review records, configuration baselines, vulnerability remediation records, and change documentation.</p></li><li><p>Ensure all cloud changes are documented, approved, tested, and implemented through ITIL-aligned change management processes.</p></li><li><p>Maintain policies, procedures, standards, runbooks, and compliance dashboards related to cloud operations.</p></li><li><p>Work closely with application teams, developers, cybersecurity, infrastructure, SOC, and business units to deliver secure and reliable cloud services.</p></li></ul><br></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Required</p><ul><li><p>5+ years hands-on experience in cloud administration, engineering, or operations — strong focus on Microsoft Azure.</p></li><li><p>Proven experience designing, deploying, and managing Azure infrastructure (compute, networking, storage, backup, monitoring, security).</p></li><li><p>Solid grasp of Azure landing zones, subscriptions, management groups, Azure Policy, RBAC, and governance.</p></li><li><p>Hands-on with Entra ID, Azure RBAC, Conditional Access, MFA, Entra PIM, and least-privilege models.</p></li><li><p>Experience in environments governed by ISO 27001, NIAF, CIS Benchmarks, and ITIL v4.</p></li><li><p>Hands-on with Microsoft Defender for Cloud, Defender Suite, Microsoft Sentinel, Azure Monitor, Log Analytics, Fortinet, and Freshservice.</p></li><li><p>Strong knowledge of cloud security, IAM, PAM, encryption, secure networking, vulnerability management, and compliance reporting.</p></li><li><p>Experience with backup, DR, replication, failover testing, and resilience planning.</p></li><li><p>Solid understanding of hybrid connectivity, firewalls, VPNs, private endpoints, DNS, and NSGs.</p></li><li><p>Strong troubleshooting, documentation, and stakeholder-communication skills.</p></li></ul><p>Preferred</p><ul><li><p>Bachelor's degree in IT, Computer Science, Cloud Computing, or a related field.</p></li><li><p>Microsoft certifications: AZ-104 (Azure Administrator), AZ-305 (Azure Solutions Architect), AZ-500 (Azure Security Engineer).</p></li><li><p>ITIL v4 certification.</p></li><li><p>Experience with infrastructure-as-code (Bicep, ARM, or Terraform).</p></li><li><p>Prior work in a regulated or government-adjacent environment.</p></li></ul><p></p></section>

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Service Now Application Developer / Programmer Senior based in United Arab Emirates.<br><br>Take ownership of Service Now solutions that support critical asset management and technology operations.<br><br>You’ll lead the implementation and ongoing management of Hardware Asset Management, Software Asset Management, and Software Bill of Materials capabilities.<br><br>The role combines hands-on development and platform expertise with requirements gathering, inventory management, and process improvement.<br><br>You’ll collaborate with technical teams and stakeholders to translate business needs into effective, scalable solutions.<br><br>Your work will help strengthen technology visibility, control, and operational efficiency across a mission-focused environment.<br><br>You’ll use Service Now and Azure technologies while working independently on complex technical challenges.<br><br>This is a senior opportunity for an experienced professional who wants to apply their expertise to meaningful, high-impact technology initiatives.<br><br>Accountabilities<br><br>Lead the implementation, configuration, and ongoing management of Service Now Hardware Asset Management and Software Asset Management capabilities. Implement and manage Software Bill of Materials (SBOM) solutions to strengthen software visibility, tracking, and governance. Develop and maintain Service Now applications and platform capabilities in line with operational and business requirements. Collaborate with internal technical teams and stakeholders to gather, clarify, document, and deliver requirements effectively. Drive technology inventory management and control, ensuring asset information remains accurate, accessible, and well governed. Apply Service Now administration and development expertise to optimize platform functionality and support evolving requirements. Utilize Azure technologies alongside Service Now to deliver effective technology solutions and integrations. Troubleshoot technical issues, identify opportunities for improvement, and implement sustainable solutions. Contribute technical leadership and expertise throughout implementation and operational activities, ensuring solutions are reliable and maintainable.<br><br>Requirements<br><br>8+ years of relevant professional experience in software engineering, application development, Service Now, or a related technical field. Technical training, professional certification, or a degree in a relevant technology or engineering discipline. Strong hands-on experience with Service Now administration, implementation, and application development. Demonstrated expertise with Service Now Hardware Asset Management and Software Asset Management. Experience working with Software Bill of Materials (SBOM) solutions and related inventory or software asset management processes. Strong understanding of the Service Now platform and its capabilities for enterprise asset management. Experience with Azure technologies and cloud-based environments. Strong analytical and problem-solving skills, with the ability to translate requirements into practical technical solutions. Excellent collaboration and communication skills, particularly when working with technical and business stakeholders. Ability to work independently, manage priorities effectively, and take ownership of complex technical initiatives. A strong focus on accuracy, system reliability, security, and continuous improvement. U. S. citizenship is not required for this position; however, the role requires eligibility to obtain the applicable BI Full 6C (T4) public trust clearance.<br><br>Benefits<br><br>Competitive annual salary range of approximately $136,000–$184,000 USD, depending on experience, location, and other applicable factors. Fully remote working arrangement. Full-flex work week designed to provide flexibility in managing professional and personal priorities. Comprehensive medical plan options, including plans with Health Savings Accounts. Dental and vision coverage.401(k) retirement plan with company matching. Paid vacation, sick, and personal leave. Paid holidays. Paid parental, military, bereavement, and jury duty leave. Up to 160 hours of paid family leave over a rolling 12-month period for eligible employees. Short- and long-term disability coverage. Life insurance and accidental death and dismemberment coverage. Personal accident and critical illness insurance options. Business travel and accident insurance. Access to career development resources, including AI-powered career and learning tools. Internal mobility support to help employees pursue career growth opportunities. Employee wellness and support programs. Opportunity to work on meaningful technology initiatives involving Service Now, cloud technologies, and enterprise asset management.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for Applied Scientists across different experience levels to design, develop, experiment with, and evaluate advanced AI/ML solutions that solve real-world business problems.<br> The role involves taking machine learning problems from problem framing and experimentation through model development, evaluation, and production deployment .<br> Depending on experience, the successful candidate may also contribute to scientific leadership, mentor other team members, and help establish best practices across applied research and machine learning delivery.<br> We are looking for candidates with strong foundations in machine learning who can balance state-of-the-art techniques with practical business requirements , delivering reliable and measurable AI/ML solutions.<br> Key Responsibilities Translate business problems into well-defined machine learning problems with clear objectives and measurable success criteria.<br> Design, develop, train, and evaluate machine learning and AI models based on business requirements.<br> Apply appropriate techniques across areas including: Classical Machine Learning Deep Learning Natural Language Processing (NLP) Computer Vision Generative AI Large Language Models (LLMs) Define experimentation strategies, establish appropriate baselines, and conduct rigorous model evaluation.<br> Perform statistical analysis, experimentation, error analysis, and model validation to assess model performance.<br> Work closely with Data Engineers to define data requirements, feature pipelines, and dataset quality standards.<br> Collaborate with Software Engineering and MLOps teams to productionise machine learning models and AI solutions .<br> Contribute to model monitoring, performance tracking, model lifecycle management, and continuous improvement.<br> Apply responsible AI principles, considering fairness, explainability, robustness, privacy, and reliability .<br> Communicate technical findings, experimental results, trade-offs, and recommendations clearly to both technical and non-technical stakeholders.<br> Contribute to technical documentation, research, experimentation, and knowledge-sharing activities.<br> For experienced candidates, provide scientific leadership, review ML work, mentor junior scientists, and help raise the overall technical standard of the team.<br> Required Technical SkillsMachine Learning &amp; AI Strong understanding of machine learning and deep learning concepts, including experience with relevant techniques across: Supervised and unsupervised learning Classification and regression Model evaluation and validation Feature engineering Deep learning NLP Computer Vision Generative AI / LLM-based applications The specific depth expected will vary based on the candidate's experience level.<br> ML Frameworks Experience with one or more of the following: PyTorch TensorFlow scikit-learn Strong candidates should demonstrate the ability to select appropriate frameworks and modelling approaches based on the problem being solved.<br> Programming Strong proficiency in Python .<br> Experience developing machine learning experimentation and modelling workflows.<br> Ability to write clean, maintainable, and reproducible code.<br> Experimentation &amp; Model Evaluation Strong understanding of experimental design.<br> Statistical analysis and hypothesis-driven experimentation.<br> Model evaluation and benchmarking.<br> Baseline development.<br> Error analysis.<br> Model validation and performance optimization.<br> Production ML &amp; MLOps Experience with taking ML models or AI solutions from experimentation into production, including: Model deployment Model monitoring Model lifecycle management MLOps workflows Collaboration with engineering and data teams Cloud-based machine learning environments Experience with cloud ML platforms and MLOps tooling is highly desirable.<br> Generative AI / LLM Experience Experience with Generative AI and LLM-based solutions will be highly valued, particularly experience taking such solutions beyond experimentation into production.<br> Relevant experience may include: LLM-based applications Generative AI solutions Model evaluation Prompt-based experimentation AI application development Production deployment and monitoring of GenAI solutions Responsible AI Candidates should understand the importance of responsible AI and, where relevant, demonstrate experience considering: Fairness Explainability Robustness Privacy Model reliability Responsible model deployment Collaboration &amp; Stakeholder Management Work closely with Data Engineers, Software Engineers, MLOps teams, Product teams, and business stakeholders .<br> Clearly communicate technical findings and modelling trade-offs.<br> Translate complex scientific concepts into understandable recommendations for non-technical stakeholders.<br> Collaborate effectively in cross-functional and Agile environments.<br> Leadership &amp; Mentoring For experienced candidates: Provide scientific leadership within the squad.<br> Review modelling approaches and scientific work.<br> Mentor Applied Scientists and junior ML practitioners.<br> Establish and promote strong experimentation and modelling practices.<br> Contribute to the overall applied research and machine learning standards of the team.<br> For junior candidates, prior mentoring or leadership experience is not mandatory.<br> Qualifications MSc or PhD in: Computer Science Machine Learning Artificial Intelligence Statistics Mathematics Data Science or another relevant quantitative discipline Equivalent practical industry experience may also be considered.<br> Experience Levels We welcome candidates across 0–15+ years of experience .<br> Junior / Entry-Level Suitable candidates may have: Strong academic foundation in ML/AI.<br> Relevant MSc/PhD or equivalent project experience.<br> Strong Python and ML framework knowledge.<br> Research, thesis, internship, or practical ML project experience.<br> Mid-Level Candidates should demonstrate: Independent ML model development.<br> Strong experimentation and evaluation experience.<br> Experience working with data and engineering teams.<br> Exposure to production ML or MLOps environments.<br> Senior / Lead-Level Candidates should additionally demonstrate: End-to-end ownership of production ML solutions.<br> Strong scientific and technical leadership.<br> Experience with GenAI/LLM applications where relevant.<br> Mentoring and scientific review capabilities.<br> Strong stakeholder communication and decision-making skills.<br></span> </div>

Leasing Team Lead | Dubai<br>We're partnering with a fast-growing, technology-driven real estate business that is reshaping the residential rental experience across the UAE.<br>As part of its continued growth, the company is looking to appoint a Leasing Team Lead to oversee leasing operations, drive commercial performance, and lead a high-performing team. This is an excellent opportunity for an experienced leasing professional who enjoys leading from the front, developing teams, and making a tangible impact within a scaling business.<br>Key responsibilities include:• Leading, coaching and developing a team of leasing professionals• Monitoring leasing performance, occupancy rates and commercial KPIs• Driving revenue growth through effective leasing strategies• Managing the full leasing lifecycle across a diverse property portfolio• Supporting recruitment, onboarding and development of new team members• Building and maintaining strong relationships with landlords, tenants and key stakeholders• Collaborating with internal teams to improve operational efficiency and customer outcomes<br>About You• 5+ years' experience within leasing, real estate or property management• Previous experience leading or mentoring a team• Strong commercial acumen and a track record of delivering results• Excellent communication, negotiation and stakeholder management skills• Comfortable working in a fast-paced, growth-oriented environment• Bachelor's degree in Business, Real Estate or a related field preferred<br>What's on Offer• Opportunity to join an ambitious and rapidly growing business• High-impact leadership role with genuine autonomy• Collaborative and entrepreneurial working environment• Clear scope for career progression as the organisation continues to expand<br>If you're a driven leasing professional looking for your next leadership opportunity in Dubai, I'd be keen to discuss the role further.

Leasing Team Lead | Dubai<br>We're partnering with a fast-growing, technology-driven real estate business that is reshaping the residential rental experience across the UAE.<br>As part of its continued growth, the company is looking to appoint a Leasing Team Lead to oversee leasing operations, drive commercial performance, and lead a high-performing team. This is an excellent opportunity for an experienced leasing professional who enjoys leading from the front, developing teams, and making a tangible impact within a scaling business.<br>Key responsibilities include:• Leading, coaching and developing a team of leasing professionals• Monitoring leasing performance, occupancy rates and commercial KPIs• Driving revenue growth through effective leasing strategies• Managing the full leasing lifecycle across a diverse property portfolio• Supporting recruitment, onboarding and development of new team members• Building and maintaining strong relationships with landlords, tenants and key stakeholders• Collaborating with internal teams to improve operational efficiency and customer outcomes<br>About You• 5+ years' experience within leasing, real estate or property management• Previous experience leading or mentoring a team• Strong commercial acumen and a track record of delivering results• Excellent communication, negotiation and stakeholder management skills• Comfortable working in a fast-paced, growth-oriented environment• Bachelor's degree in Business, Real Estate or a related field preferred<br>What's on Offer• Opportunity to join an ambitious and rapidly growing business• High-impact leadership role with genuine autonomy• Collaborative and entrepreneurial working environment• Clear scope for career progression as the organisation continues to expand<br>If you're a driven leasing professional looking for your next leadership opportunity in Dubai, I'd be keen to discuss the role further.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> <p><strong><u><span>JOB PURPOSE</span></u></strong><strong><u><span>:</span></u></strong></p><br><p><span>The Manager, Innovation &amp; Partnerships is responsible for identifying, evaluating, and delivering innovative initiatives and strategic partnerships that enhance retail fuel, convenience, and mobility experiences. The role drives the execution of digital, AI, and technology</span>‑<span>enabled solutions that create measurable customer value and commercial impact. It serves as a bridge between business, technology, and external partners to accelerate innovation adoption while ensuring scalability, governance, and return on investment.</span></p><br><p><strong><u><span>KEY ACCOUNTABILITIES:</span></u></strong></p><br><p><strong><u><span>Innovation Strategy &amp; Program Delivery</span></u></strong></p><br><ul><li><span>Support the development and execution of the innovation roadmap aligned with customer experience, retail growth, and digital transformation priorities.</span></li><li><span>Identify, assess, and prioritize emerging technologies including AI, automation, robotics, and digital platforms relevant to retail and mobility.</span></li><li><span>Translate innovation opportunities into structured initiatives with clear objectives, milestones, and success measures.</span></li><li><span>Lead pilot programs and proofs of concept, ensuring timely execution and evidence-based evaluation of outcomes.</span></li><li><span>Support scaling of successful innovations into operationally viable and commercially sustainable solutions.</span></li></ul><p><strong><u><span>AI &amp; Digital Enablement</span></u></strong></p><br><ul><li><span>Drive the deployment of AI enabled use cases that enhance customer engagement, personalization, and operational efficiency.</span></li><li><span>Work closely with IT and data teams to ensure AI solutions are secure, compliant, and aligned with enterprise architecture.</span></li><li><span>Support the establishment of AI governance frameworks covering prioritization, risk, ethics, and performance tracking.</span></li><li><span>Monitor AI performance metrics to ensure measurable business and customer impact.</span></li><li><span>Promote AI literacy and adoption across business functions through structured engagement and enablement.</span></li></ul><p><strong><u><span>Strategic Partnerships Management</span></u></strong></p><br><ul><li><span>Identify, evaluate, and onboard strategic technology, digital, and innovation partners aligned with business needs.</span></li><li><span>Manage end to end partnership lifecycle including due diligence, commercial alignment, onboarding, and performance review.</span></li><li><span>Act as the primary business interface with partners, vendors, and innovation ecosystems.</span></li><li><span>Ensure partnership initiatives are fully aligned with internal stakeholders and operational capabilities.</span></li><li><span>Track partnership performance and value realization against defined commercial and strategic objectives.</span></li></ul><p><strong><u><span>Retail Media &amp; Data Monetization Enablement</span></u></strong></p><br><ul><li><span>Support the development and execution of retail media and data monetization initiatives across physical and digital assets.</span></li><li><span>Collaborate with marketing and commercial teams to define monetization use cases and partner engagement models.</span></li><li><span>Assist in managing relationships with advertising platforms, media partners, and data vendors.</span></li><li><span>Monitor campaign and platform performance to optimize revenue generation and customer relevance.</span></li><li><span>Ensure data monetization initiatives comply with data governance, privacy, and regulatory requirements.</span></li></ul><p><strong><u><span>Business Case Development &amp; Value Realization</span></u></strong></p><br><ul><li><span>Develop detailed business cases for innovation and partnership initiatives, including cost, benefits, and risk assessments.</span></li><li><span>Secure cross functional input and alignment to ensure feasibility and executive buy in.</span></li><li><span>Track financial and non financial benefits realization post implementation.</span></li><li><span>Provide structured reporting on innovation performance, ROI, and strategic impact.</span></li><li><span>Continuously refine initiatives based on performance insights and evolving business priorities.</span></li></ul><p><strong><u><span>Team Collaboration &amp; Governance</span></u></strong></p><br><ul><li><span>Contribute to the development of innovation standards, processes, and governance frameworks.</span></li><li><span>Support knowledge sharing and best practice adoption across innovation initiatives.</span></li><li><span>Coach and guide junior team members and project contributors as required.</span></li><li><span>Ensure compliance with corporate policies, procurement standards, and risk management requirements.</span></li><li><span>Represent the innovation function in cross functional forums, reviews, and steering committees.</span></li></ul><p><strong><u><span>COMMUNICATIONS &amp; WORKING RELATIONSHIPS:</span></u></strong></p><br><p><strong><span>Internal</span></strong></p><br><ul><li><span>Marketing group</span></li><li><span>Digital Division</span></li><li><span>Retail Operations</span></li><li><span>Finance Division</span></li></ul><p><strong><span>External</span></strong></p><br><ul><li><span>Technology and AI Solution Providers</span></li><li><span>Innovation Labs, Start</span>‑<span>ups, and Accelerators</span></li><li><span>Strategic Digital and Media Partners</span></li><li><span>Consultants and Industry Experts</span></li><li><span>Advertising and Retail Media Platforms</span></li></ul><strong><u><span>QUALIFICATIONS, EXPERIENCE, KNOWLEDGE &amp; SKILLS: </span></u></strong><p><strong><span>Minimum Qualification</span></strong></p><br><ul><li><span>Bachelor’s degree in Engineering / STEM, Business, Technology Management, Information Systems, or a related field.</span></li><li><span>MBA or postgraduate qualification in Innovation, Strategy, or Digital Transformation is preferred.</span></li></ul><p><strong><span>Minimum Experience &amp; Knowledge &amp; Skills</span></strong></p><br><ul><li><span>12 years of experience </span><span>in innovation management, digital transformation, partnerships, or related roles. </span></li><li><span>Proven experience delivering innovation initiatives within complex, enterprise environments. </span></li><li><span>Experience in retail, energy, mobility, or consumer facing industries is highly desirable.</span></li><li><span>Extensive experience leading complex digi</span></li></ul> </div>

Job Description<br><br>Job Title: Political Science Quality Assurance Lead<br><br>Job Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>In this hourly, remote contractor role, you will work as a Political Science Quality Assurance Lead to oversee quality, consistency, and trainer performance across political science AI training projects. You will review AI-generated political science content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for conceptual accuracy, institutional knowledge, comparative context, political theory accuracy, policy reasoning, source awareness, bias sensitivity, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong political science expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote expert teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your political science quality leadership will directly help improve the world’s premier AI models by ensuring that political science training data is accurate, balanced, well-contextualized, analytically sound, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your Profile<br><br>Bachelor’s, Master’s, or PhD degree in Political Science, International Relations, Public Policy, Government, Political Theory, Security Studies, Law, Sociology, Economics, or a closely related social science field. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.3+ years of experience in political science research, teaching, policy analysis, public affairs, international relations, political writing, academic review, or related analytical workflows. Strong understanding of political institutions, comparative politics, international relations, public policy, political theory, electoral systems, governance, state capacity, civil society, and political behavior. Ability to evaluate political science content against detailed rubrics and identify issues such as oversimplification, ideological bias, unsupported claims, incorrect institutional descriptions, misleading causal reasoning, or weak comparative analysis. Familiarity with areas such as democracy and authoritarianism, political economy, public administration, constitutional systems, electoral politics, conflict studies, international organizations, policy evaluation, or survey research is preferred. Experience leading or supporting remote teams of analysts, researchers, reviewers, educators, annotators, or QAs is strongly preferred. Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation. Experience with AI training, data annotation, LLM evaluation, policy QA, academic review, fact-checking, or rubric-based review is a strong plus.<br><br>Key Responsibilities<br><br>Quality monitoring: Spot-check political science items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Political science review: Evaluate AI-generated political science explanations, comparative analyses, policy summaries, political theory discussions, institutional descriptions, and reasoning for accuracy and balance. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and political-science-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around institutions, comparative politics, public policy, political theory, international relations, bias, and rubric interpretation. Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. Documentation: Create and maintain political science project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and political-science-specific review requirements. Quality alignment: Ensure all trainers and QAs apply political science review guidelines consistently and understand updates as projects evolve. Bias and risk review: Flag misleading, ideologically one-sided, unsupported, outdated, politically inflammatory, or poorly contextualized claims. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for political science AI training projects.

Job Description<br><br>Job Title: Political Science Quality Assurance Lead<br><br>Job Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>In this hourly, remote contractor role, you will work as a Political Science Quality Assurance Lead to oversee quality, consistency, and trainer performance across political science AI training projects. You will review AI-generated political science content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for conceptual accuracy, institutional knowledge, comparative context, political theory accuracy, policy reasoning, source awareness, bias sensitivity, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong political science expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote expert teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your political science quality leadership will directly help improve the world’s premier AI models by ensuring that political science training data is accurate, balanced, well-contextualized, analytically sound, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your Profile<br><br>Bachelor’s, Master’s, or PhD degree in Political Science, International Relations, Public Policy, Government, Political Theory, Security Studies, Law, Sociology, Economics, or a closely related social science field. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.3+ years of experience in political science research, teaching, policy analysis, public affairs, international relations, political writing, academic review, or related analytical workflows. Strong understanding of political institutions, comparative politics, international relations, public policy, political theory, electoral systems, governance, state capacity, civil society, and political behavior. Ability to evaluate political science content against detailed rubrics and identify issues such as oversimplification, ideological bias, unsupported claims, incorrect institutional descriptions, misleading causal reasoning, or weak comparative analysis. Familiarity with areas such as democracy and authoritarianism, political economy, public administration, constitutional systems, electoral politics, conflict studies, international organizations, policy evaluation, or survey research is preferred. Experience leading or supporting remote teams of analysts, researchers, reviewers, educators, annotators, or QAs is strongly preferred. Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation. Experience with AI training, data annotation, LLM evaluation, policy QA, academic review, fact-checking, or rubric-based review is a strong plus.<br><br>Key Responsibilities<br><br>Quality monitoring: Spot-check political science items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Political science review: Evaluate AI-generated political science explanations, comparative analyses, policy summaries, political theory discussions, institutional descriptions, and reasoning for accuracy and balance. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and political-science-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around institutions, comparative politics, public policy, political theory, international relations, bias, and rubric interpretation. Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. Documentation: Create and maintain political science project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and political-science-specific review requirements. Quality alignment: Ensure all trainers and QAs apply political science review guidelines consistently and understand updates as projects evolve. Bias and risk review: Flag misleading, ideologically one-sided, unsupported, outdated, politically inflammatory, or poorly contextualized claims. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for political science AI training projects.

Job Description<br><br>Job Title: Political Science Quality Assurance Lead<br><br>Job Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>In this hourly, remote contractor role, you will work as a Political Science Quality Assurance Lead to oversee quality, consistency, and trainer performance across political science AI training projects. You will review AI-generated political science content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for conceptual accuracy, institutional knowledge, comparative context, political theory accuracy, policy reasoning, source awareness, bias sensitivity, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong political science expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote expert teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your political science quality leadership will directly help improve the world’s premier AI models by ensuring that political science training data is accurate, balanced, well-contextualized, analytically sound, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your Profile<br><br>Bachelor’s, Master’s, or PhD degree in Political Science, International Relations, Public Policy, Government, Political Theory, Security Studies, Law, Sociology, Economics, or a closely related social science field. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.3+ years of experience in political science research, teaching, policy analysis, public affairs, international relations, political writing, academic review, or related analytical workflows. Strong understanding of political institutions, comparative politics, international relations, public policy, political theory, electoral systems, governance, state capacity, civil society, and political behavior. Ability to evaluate political science content against detailed rubrics and identify issues such as oversimplification, ideological bias, unsupported claims, incorrect institutional descriptions, misleading causal reasoning, or weak comparative analysis. Familiarity with areas such as democracy and authoritarianism, political economy, public administration, constitutional systems, electoral politics, conflict studies, international organizations, policy evaluation, or survey research is preferred. Experience leading or supporting remote teams of analysts, researchers, reviewers, educators, annotators, or QAs is strongly preferred. Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation. Experience with AI training, data annotation, LLM evaluation, policy QA, academic review, fact-checking, or rubric-based review is a strong plus.<br><br>Key Responsibilities<br><br>Quality monitoring: Spot-check political science items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Political science review: Evaluate AI-generated political science explanations, comparative analyses, policy summaries, political theory discussions, institutional descriptions, and reasoning for accuracy and balance. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and political-science-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around institutions, comparative politics, public policy, political theory, international relations, bias, and rubric interpretation. Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. Documentation: Create and maintain political science project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and political-science-specific review requirements. Quality alignment: Ensure all trainers and QAs apply political science review guidelines consistently and understand updates as projects evolve. Bias and risk review: Flag misleading, ideologically one-sided, unsupported, outdated, politically inflammatory, or poorly contextualized claims. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for political science AI training projects.

Job Description<br><br>Job Title: Political Science Quality Assurance Lead<br><br>Job Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>In this hourly, remote contractor role, you will work as a Political Science Quality Assurance Lead to oversee quality, consistency, and trainer performance across political science AI training projects. You will review AI-generated political science content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for conceptual accuracy, institutional knowledge, comparative context, political theory accuracy, policy reasoning, source awareness, bias sensitivity, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong political science expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote expert teams. This role is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation-model labs. Your political science quality leadership will directly help improve the world’s premier AI models by ensuring that political science training data is accurate, balanced, well-contextualized, analytically sound, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your Profile<br><br>Bachelor’s, Master’s, or PhD degree in Political Science, International Relations, Public Policy, Government, Political Theory, Security Studies, Law, Sociology, Economics, or a closely related social science field. Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.3+ years of experience in political science research, teaching, policy analysis, public affairs, international relations, political writing, academic review, or related analytical workflows. Strong understanding of political institutions, comparative politics, international relations, public policy, political theory, electoral systems, governance, state capacity, civil society, and political behavior. Ability to evaluate political science content against detailed rubrics and identify issues such as oversimplification, ideological bias, unsupported claims, incorrect institutional descriptions, misleading causal reasoning, or weak comparative analysis. Familiarity with areas such as democracy and authoritarianism, political economy, public administration, constitutional systems, electoral politics, conflict studies, international organizations, policy evaluation, or survey research is preferred. Experience leading or supporting remote teams of analysts, researchers, reviewers, educators, annotators, or QAs is strongly preferred. Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation. Experience with AI training, data annotation, LLM evaluation, policy QA, academic review, fact-checking, or rubric-based review is a strong plus.<br><br>Key Responsibilities<br><br>Quality monitoring: Spot-check political science items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Political science review: Evaluate AI-generated political science explanations, comparative analyses, policy summaries, political theory discussions, institutional descriptions, and reasoning for accuracy and balance. Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and political-science-specific review standards. Question handling: Respond to trainer/QA questions clearly and promptly, especially around institutions, comparative politics, public policy, political theory, international relations, bias, and rubric interpretation. Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. Documentation: Create and maintain political science project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and political-science-specific review requirements. Quality alignment: Ensure all trainers and QAs apply political science review guidelines consistently and understand updates as projects evolve. Bias and risk review: Flag misleading, ideologically one-sided, unsupported, outdated, politically inflammatory, or poorly contextualized claims. Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for political science AI training projects.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span><b>Our Purpose</b></span></p><br><br><br><p><i>Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a&nbsp;sustainable&nbsp;economy where everyone can prosper. We support a wide range of digital payments choices, making transactions&nbsp;secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.</i></p><br><br><br><p><b>Title and Summary</b></p><br><br><br>Manager, Product Management, Commercial – T&amp;E<br>The Commercial segment represents a $4.9T opportunity for the region, and the Commercial Platforms are key a differentiator to win and grow the Commercial business for Mastercard. The Smart Data platform is a key focus of overall commercial strategy and is integral to our success. The Product Manager will work directly with the regional lead T&amp;E/B2B lead supporting Smart Data scaling in the region, execute on the strategy and oversee issuers onboarding to drive revenue.<br>The Product Manager will work directly with the regional lead T&amp;E/B2B lead supporting Smart Data scaling in the region, execute on the strategy, oversee issuers onboarding to drive revenue. In addition, the Product Manager to ensure end-to-end quality of Smart Data features / enhancements at the regional level.<br>The role is responsible for: <br>• Management of assigned custom client requests, issuers training and ad-hoc support for the Smart Data portal<br>• Identify at risk processes and implementation to mitigate challenges and reduce time to revenue<br>• Support development, execution, and delivery of product features into the market <br>• Contract and billing management, product performance,<br>• Track Smart Data KPIs and identify opportunities for growth<br>About the role<br> This role requires the successful candidate to: <br>• Be a successful team player with experience in product management<br>• Have a customer centric focus, and ability to manage internal and external stakeholders (clients, internal partners, 3rd party partners), etc. <br>• Build relationships with global counterparts<br>• Create a network of within Product, customer delivery and customer support <br>• Develop deep knowledge of Mastercard Smart Data suite and the entire commercial transaction flow <br>• Understand and translate customers’ expectations and work with the account team to deliver<br>All About You <br>Experience: <br>• Background preferred in one or more of the following: <br>• Product management and development <br>• Agile Development <br>• Technology Development &amp; Operations <br>• Commercial products or commercial payments <br>• Strong communication and collaboration skills <br>• Strong ability to interact with, influence, and build consensus across a variety of internal business units, external partners, and service providers <br>• Familiarity with PME framework <br>• Undergraduate degree required. MBA preferred<br><br><p><b>Corporate Security Responsibility</b></p><br><br><p><br>All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:</p><br><br><ul><li><p>Abide by Mastercard’s security policies and practices;</p><br><br></li><li><p>Ensure the confidentiality and integrity of the information being accessed;</p><br><br></li><li><p>Report any suspected information security violation or breach, and</p><br><br></li><li><p>Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.</p><br><br></li></ul><br><br><br><br><br> </div>

In a world of possibilities, pursue one with endless opportunities. Imagine Next!<br><br>At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what’s possible.<br><br>Job Description<br><br>Assistant Resident Engineer (Electrical - Roads & Infrastructure)<br><br>Abu Dhabi, UAE<br><br>Parsons is looking for an amazingly talented Assistant Resident Engineer (Electrical) to join our team! In this role you will get to assist the Resident Engineer in administering the operational functions of the day-to-day activities on the project with respect to utilities works.<br><br>What You'll Be Doing<br><br>Report to the Resident Engineer and assist in supervising the construction of Electrical infrastructure works and associated items. Act in place of the Resident Engineer when on leave or absent. Coordinate his direct activities with the other engineers and members of the construction supervision team. Assist the Resident Engineer in reviewing of shop drawings, design proposals, method statements and other activities including correspondence related to the utility section and prepare replies for the review of the Resident Engineer. Coordinate with Parsons' design engineers for resolution of related issues. Maintain the daily diary and the daily reports by the inspectors. Coordinate with the contractor engineers on scheduling and application of resources. Direct, assist and monitor the performance of the inspectors and surveyors as applicable. Convene and chair special meetings with the service authorities, the contractor, subcontractors and other parties related to his work. Ensure accuracy and completeness of records. Ensure safety goals are achieved on the project and oversee implementation of safety procedures on the project. Prepare / Assist in the preparation of Weekly and Monthly progress reports. Act positively and participate in all health and safety issues at site, as required by the Resident Engineer and the project safety representatives. Provide all necessary on-site direction and assist the Resident Engineer to issue site instructions with respect to utilities works and associated items. Check and measure the performed work in his line of work, record and assist the Resident Engineer to display progress vs. programmed work. Ensure correctness and completeness of ‘as-built’ drawings within his line of work.<br><br><br>What Required Skills You'll Bring<br><br>Bachelor’s degree in Electrical Engineering with minimum 10 years of experience in design, site supervision, and construction management of (Electrical) infrastructure projects, including roads and bridges. A minimum of 2 years of proven experience managing supervision activities on large-scale infrastructure projects within Abu Dhabi is mandatory. Bachelor’s Degree and 10+ years postgraduate experience in design, site supervision and construction management of (Electrical) projects. Should be able to review and justify the material submissions, analyze laboratory and technical reports, carry out acceptance sampling plans, testing and quality measures, ensuring the compliance with the project’s Specifications. Must have a sound knowledge about contractual relationships. Must be fully computer literate and able to utilize computer technology to access data, maintain records, generate reports, etc. and any project specific engineering and construction relevant software. Must be fluent in English written and spoken with an excellent capability in written technical skills as well as oral and written communication skills. Keep necessary records and as-built records and take charge of the handing over of the utility works to the respective service authorities and assist the contractor to obtain necessary final clearance. Must be available in UAE.<br><br><br>What Desired Skills You'll Bring<br><br>Knowledge and Emphasis on Quality Assurance Specifications and Statistical Quality Control.<br><br><br>Parsons equally employs representation at all job levels no matter the race, color, religion, sex (including pregnancy), national origin, age, disability or genetic information.<br><br>We truly invest and care about our employee’s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest—APPLY TODAY!<br><br>Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.

<ul><li>Design and implement machine learning algorithms tailored to solve specific business challenges, ensuring they align with project goals.</li><li>Collaborate with data scientists and analysts to preprocess and analyze large datasets, deriving actionable insights for model improvement.</li><li>Optimize and fine-tune existing AI models to enhance performance and accuracy, using state-of-the-art techniques and tools.</li><li>Conduct thorough testing and validation of AI models, ensuring robustness and reliability before deployment in production environments.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>TECHNICAL SKILLS: minimum 3-4 yrs of working experience mandatory Azure AI Services: Demonstrated working experience with Microsoft Azure AI Services including Azure OpenAI, Azure Machine Learning, Azure Cognitive Services, Azure AI Search, Azure Functions, and Azure Databricks. Python Programming: Strong proficiency in Python programming, including experience with REST APIs, SDKs, asynchronous processing, data manipulation, backend development, and AI application frameworks (LangChain, LlamaIndex, Semantic Kernel, LangGraph, FastAPI). LLM & Generative AI: Deep understanding of machine learning, statistical modeling, NLP, generative AI principles, LLM application development, prompt engineering, RAG architecture, embeddings, vector databases, semantic search, and model evaluation techniques. ML Libraries & Frameworks: Advanced proficiency in ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, and NLP libraries (spaCy, NLTK). Vector Databases: Experience with vector databases including FAISS, Azure AI Search, ChromaDB, and Pinecone. DevOps/MLOps: Hands-on experience with DevOps/MLOps practices and tools such as Git, Docker, Kubernetes, CI/CD pipelines, MLflow, Terraform, Azure Monitor, and Application Insights. Cloud Security & Integration: Understanding of cloud security, identity and access management, data privacy, encryption, logging, monitoring, and secure API integration patterns. AI Ethics & Governance: Awareness of ethical considerations and responsible AI practices, including fairness, accountability, transparency, bias detection, hallucination mitigation, and compliance in AI systems. KNOWLEDGE, SKILLS, & EXPERIENCE Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or related field; Master's degree is preferred. Microsoft Certified: Azure AI Engineer Associate (AI-102) certification is highly preferred. Minimum Experience: 3+ years of hands-on experience in designing, developing, and deploying AI/ML or Generative AI solutions in production environments. Mandatory hands-on experience with Microsoft Azure AI Services. Experience working with large-scale datasets and real-time enterprise data. Experience in financial services, banking, risk, compliance, customer service, or regulated enterprise environments is an advantage.</p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>It's more than a job</strong><br><p><span>As a member of the Freight Forwarding team Kuehne+Nagel, you will play a key role in transporting goods, optimising processes, and fulfilling our customers' promises.At Kuehne+Nagel, our contribution counts in more ways than we imagine.</span></p><br>‎ <br><p>You always put the customer first. You will be a reliable partner for our customers and ensure the commercial success of Kuehne+<span>Nagel</span>&nbsp;and if you believe that you would add a value to Kuehne+<span>Nagel</span>&nbsp;sales team, apply!</p><br><p>Sea&nbsp;<span>Logistics Sales</span>&nbsp;Representative is responsible for generating new business opportunities with a clear focus on SME customers. They have a thorough, up to date and in-depth understanding of the trade-lane(s) in terms of the geography of the trade, and the service offerings, such as sailings, transit times, reliability, specific country documentation regulations, local standards, operational requirements, as well as the type of industry/goods/commodity traded on the particular routes.&nbsp;</p><br><br><br><b>How you create impact</b> <br><ul><li>Generating new business opportunities with a clear focus on SMEs.</li><li>Taking pricing decisions in alignment with the&nbsp;<span>Customer Care</span>&nbsp;Managers.</li><li>Preparing quotations using our online tools and submitting our proposals to customers.</li><li>Demonstrating superior&nbsp;Sea Logistics&nbsp;product and trade knowledge.</li><li>Delivering presentations about our main&nbsp;Sea Logistics&nbsp;products.</li><li>Monitoring competition by gathering current marketplace information on pricing and products.</li><li>Reporting customer complaints to the&nbsp;<span>Customer Care</span>&nbsp;Team.</li><li>Aligning with the&nbsp;<span>Customer Care</span>&nbsp;Team when onboarding new customers and providing robust and complete content in the Customer Promise/CCL handover form.</li><li>Using&nbsp;CoreLOG&nbsp;to maintain and update customer information.</li><li>Performing the related&nbsp;<span>CRM</span>&nbsp;tasks/activities. Regularly reviewing the customers’ portfolio with the CCL managers and&nbsp;<span>Customer Care</span>&nbsp;Team.</li><li>Closing customer deals.</li></ul><br><br><b>What we would like you to bring</b> <br><ul><li>Minimum bachelor’s degree.</li><li>Minimum 5 years of extensive track record of professional experience and success as&nbsp;<span>field sales</span>&nbsp;representative in the forwarding / logistics sector.</li><li>A reliable, trustworthy and serious demeanour.</li><li>Excellent negotiating and closure skills, ability to work on your own initiative and in a highly organized way.</li><li>A good knowledge of spoken and written English.</li><li>Very&nbsp;<span>good computer skills</span>, particularly&nbsp;MS Office.</li><li>A valid&nbsp;<span>driving license</span>&nbsp;and able to travel.</li></ul><p><span>#LI-PY1&nbsp;</span></p><br><br><br><b>What's in it for you</b> <br><p>At Kuehne+<span>Nagel</span>&nbsp;you are always part of a team, but still have control over how you arrange your own work and your own way of achieving success. Present your customers with the products and services of a company that is the global market leader in logistics in many sectors. In return we offer a wide range of continuing professional development opportunities.&nbsp;</p><br><br><br><br><strong>Who we are</strong><br><p><span>Logistics shapes everyday life - from the goods we consume to the healthcare we rely on. At Kuehne+Nagel, your work goes beyond logistics; it enables both ordinary and special moments in the lives of people around the world.</span></p><br><p><span>As a global leader with a strong heritage and a vision to move the world forward, we offer a safe, stable environment where your career can make a real difference.&nbsp;</span></p><br> </div>