Python Developer Jobs in UAE

<strong>Job Description<br><br></strong>About Wynn Al Marjan Island:<br><br>Wynn Al Marjan Island will be the first integrated resort in the UAE. Set to open in 2027, the resort will be located 50 miles from Dubai International Airport in the emirate of Ras Al Khaimah. The resort will offer 1,530 rooms and suites, 22 restaurants, lounges, and bars, a theater, and a beach club. It will feature multiple swimming and wading pools, a five-star spa, a salon, a shopping promenade, and a celebrations and events center.<br><br><strong>About The Position<br><br></strong>Wynn Al Marjan Island is currently seeking a Director - Marketing Intelligence to join the resort’s Database Marketing team.<br><br><strong>Responsibilities<br><br></strong>The primary duties and responsibilities of this role are:<br><br><ul><li> Build and maintain the core reporting suite and dashboards for the gaming department </li><li> Develop performance dashboards tracking host productivity, profitability, and player engagement </li><li> Define, implement, and monitor gaming host KPIs — including ADT, trip frequency and recency, and reinvestment ratios </li><li> Deliver historical performance analysis and trend reporting to senior leadership and operations teams </li><li> Automate reporting workflows and enforce data accuracy standards across all outputs </li><li> Translate business questions into analytical frameworks and structured reporting outputs </li><li> Interpret data using advanced analytical techniques to deliver substantiated, actionable insights </li><li> Develop targeting logic and control groups to measure campaign effectiveness, ROI, uplift, and incremental revenue </li><li> Leverage LLMs to accelerate insight generation and automate narrative reporting </li><li> Own the BI roadmap — collaborate with business and technical stakeholders to identify and prioritize high-impact opportunities </li><li> Assess the effectiveness and quality of new data sources and data collection techniques </li><li> Design future-proof data processes that allow seamless model improvements without disrupting production </li><li> Manage and develop a technical team, setting clear goals and delivering against deadlines <br><br></li></ul><strong>About You<br><br></strong>The ideal candidate for this position will have the following experience and qualifications:<br><br><ul><li> Bachelor’s degree in a quantitative field (Computer Science, Statistics, Economics, Finance). Master’s is a plus </li><li> Minimum 5+ years in gaming analytics (8+ years total experience preferred) </li><li> Strong SQL; proficiency in one or more BI platforms (e.g., Power BI, Tableau, Looker, or equivalent). Python is a plus </li><li> Experience building automated dashboards and reporting systems </li><li> Hands-on experience with cloud data platforms (Snowflake, Databricks, or equivalent); familiarity with ETL processes </li><li> Deep understanding of gaming KPIs (ADT, Theo, hold, reinvestment), player lifecycle, loyalty programs, and campaign measurement </li><li> Strong instinct for trends, root causes, and meaningful patterns; able to analyze both qualitative and quantitative data </li><li> Able to present data-driven insights clearly to executive and non-technical audiences — in writing and in person </li><li> Proven ability to manage and grow a technical team, balance competing priorities, and deliver consistently under deadlines <br><br></li></ul><strong>About Wynn Al Marjan Island’s Benefits<br><br></strong>We offer an attractive salary, paid in Dirhams (AED), the local currency of the UAE. In addition, we offer an excellent leave policy, a healthcare package, incentive programs, and other employee benefits . The result is a package that makes this role highly attractive to outstanding applicant s seeking a career with Wynn Resorts, among the most renowned and celebrated brands in the global hospitality industry.

<em>Please submit resumes to QuantTalentEUR@mlp.com and reference REQ-30088.<br><br></em><strong>Preferred Candidate Profile<br><br></strong><ul><li> Top-tier academic background from a globally top-20 university (e.g., MIT, Harvard, Princeton,<br><br></li></ul>Stanford, Caltech)<br><br><ul><li> PhD-level training in Computer Science, Engineering, Physics, Mathematics, or Statistics<br><br></li></ul><strong>Preferred<br><br></strong><ul><li> Gold medal in a national or international olympiad (IMO, CMO, IOI, NOI, IPhO, CPhO)<br><br></li></ul>strongly preferred<br><br><ul><li> Practical, hands-on experience with large-scale, end-to-end deep learning at a top-tier quantitative<br><br></li></ul><strong>Trading Firm Or a Leading AI/technology Company Preferred<br><br></strong>Key Responsibilities<br><br><ul><li> Design and build the firm’s core deep learning pipelines for applied quantitative alpha research—<br><br></li></ul>from data preparation and distributed training through evaluation and production deployment.<br><br><ul><li> Drive a significant part of the research agenda using applied deep learning techniques, owning the<br><br></li></ul>full empirical loop: problem formulation, model design, training, validation, and performance<br><br>attribution.<br><br><ul><li> Uphold rigorous research discipline in a low signal-to-noise domain — strict out-of-sample<br><br></li></ul>hygiene, leakage prevention, and honest benchmarking against simpler baselines.<br><br><ul><li> Act as the firm’s central point of deep learning expertise: advise on architecture selection and<br><br></li></ul>training diagnostics, review model designs, and set standards for how models are evaluated<br><br>and promoted.<br><br><ul><li> Facilitate the seamless flow of model fitting and model computation across teams and systems<br><br></li></ul>through standardized training and inference interfaces and reusable components.<br><br><strong>Qualifications &amp; Experience<br><br></strong><ul><li> 3–5 years of professional experience applying deep learning to large-scale problems, ideally in<br><br></li></ul>quantitative finance. A strong PhD research record plus hands-on experience training large<br><br>models at a leading AI/technology company will be considered in lieu of direct quant experience.<br><br><ul><li> Proven end-to-end ownership of the deep learning model lifecycle on at least one significant<br><br></li></ul>production system or published research line.<br><br><ul><li> Deep expertise in Python and a modern DL framework.</li><li> Hands-on experience with large-scale model training: distributed/multi-GPU training,<br><br></li></ul>mixed precision, and throughput profiling and optimization.<br><br><ul><li> Strong foundations in statistics, optimization, and machine learning theory.<br><br></li></ul><strong>Hard Skills &amp; Technical Knowledge<br><br></strong><ul><li> Command of modern deep learning architectures, and the judgment to know when a simpler<br><br></li></ul>model should win.<br><br><ul><li> Practical technique for low signal-to-noise learning: regularization, ensembling, and validation<br><br></li></ul>protocols that survive out-of-sample.<br><br><ul><li> Experience with large-scale datasets — efficient columnar formats, streaming data loaders,<br><br></li></ul>and point-in-time-correct dataset construction.<br><br><ul><li> Fluency with experiment-management tooling: experiment tracking, hyperparameter optimization,<br><br></li></ul>and reproducible research environments.<br><br><ul><li> Working knowledge of C++ or CUDA-level optimization a plus; familiarity with LLM tooling<br><br></li></ul>as a research accelerant a plus.<br><br><strong>Soft Skills<br><br></strong><ul><li> Research Taste &amp; Rigor: Designs clean experiments and kills ideas quickly when the<br><br></li></ul>evidence says so.<br><br><ul><li> Proactive Collaboration: Builds strong partnerships across research and engineering.</li><li> High Integrity: Upholds rigorous ethical standards in handling sensitive data and models.</li><li> Growth Mindset: Stays current with a fast-moving field and adopts what works.</li><li> Superb Communication: Explains model behavior and uncertainty to technical and nontechnical<br><br></li></ul>audiences.

<strong>Job Description<br><br></strong>As a Cyber Security Architect/Engineer I, you will work with the Honeywell Cybersecurity Center of Excellence (CoE) team to support cybersecurity solution development, product testing, lab validation, technical documentation, and cybersecurity engineering activities. This role is designed for early-career cybersecurity professionals who are interested in developing expertise in industrial cybersecurity technologies and Honeywell cybersecurity solutions.<br><br><strong>Responsibilities<br><br></strong><ul><li> Support testing, validation, and troubleshooting activities for Honeywell cybersecurity products and solutions.</li><li> Assist in maintaining and operating the Cyber COE cybersecurity lab environment.</li><li> Participate in proof-of-concept (POC), product demonstration, and solution validation activities.</li><li> Assist with cybersecurity assessments, system reviews, and risk evaluation activities.</li><li> Support technical documentation, test reports, procedures, and knowledge articles.</li><li> Perform basic cybersecurity analysis and identify potential security risks and vulnerabilities.</li><li> Participate in the evaluation of new cybersecurity tools, technologies, and product features.</li><li> Collaborate with engineering, development, and project teams on assigned activities.</li><li> Assist in the development and testing of cybersecurity-related scripts and automation tools.</li><li> Continuously expand knowledge of Honeywell cybersecurity products and industrial cybersecurity technologies.</li><li> Support internal training, workshops, and technology demonstrations as required.<br><br></li></ul><strong>Qualifications<br><br></strong><strong>Basic Qualifications:<br><br></strong><ul><li> Bachelor’s degree in cyber security, Computer Science, Information Technology, Information Systems, Computer Engineering, or related discipline</li><li> 1-2 years of experience in cybersecurity, networking, IT infrastructure, systems administration, or related technical fields</li><li> Fresh graduates with strong cybersecurity knowledge and hands-on project experience may also be considered<br><br></li></ul><strong>Preferred Skills<br><br></strong><ul><li> Basic understanding of cybersecurity concepts and best practices.</li><li> Familiarity with networking fundamentals (TCP/IP, VLANs, routing, switching).</li><li> Basic knowledge of Windows and Linux operating systems.</li><li> Exposure to security tools, vulnerability management, or system hardening concepts.</li><li> Familiarity with scripting or programming languages such as Python or PowerShell.</li><li> Strong analytical, troubleshooting, and problem-solving skills.</li><li> Ability to learn new technologies quickly and work in a collaborative environment.</li><li> Strong verbal and written communication skills.</li><li> Good documentation and organizational skills.</li><li> Demonstrated initiative, curiosity, and willingness to take ownership of assigned tasks<br><br></li></ul><em><strong>We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.<br><br></strong></em><em><strong>We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.<br><br></strong></em><strong>About Us<br><br></strong>Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.

<strong>Job Description<br><br></strong>We are seeking a talented and analytical Data Scientist to join our data-driven team. As a Data Scientist, you will be responsible for analyzing large multimodal datasets, deriving valuable insights, and using advanced statistical and machine learning techniques to solve complex business problems. Your expertise will play a crucial role in guiding data-driven decision-making and driving innovation within our organization.<br><br><strong>Responsibilities<br><br></strong><ul><li>Collaborate with cross-functional teams, including business stakeholders and data engineers, to identify data-driven solutions to business challenges.</li><li>Gather and preprocess large datasets from various sources, ensuring data quality and integrity</li><li>Design, train and finetune AI models for computer vision tasks.</li><li>Design, train and finetune AI models for pattern and anomaly detection.</li><li>Apply advanced statistical and machine learning techniques to model data, predict outcomes, and identify patterns and trends.</li><li>Develop and implement algorithms and models to optimize business processes and improve business performance.</li><li>Interpret and communicate analysis results to non-technical stakeholders, providing actionable insights and recommendations.</li><li>Collaborate with data engineers to deploy and integrate data models and algorithms into production systems.</li><li>Stay updated with the latest data science methodologies and industry best practices, integrating them into our data science projects.</li><li>Documentation: Create clear and concise documentation for AI models, algorithms, and processes to facilitate knowledge sharing and future development.<br><br></li></ul><strong>Qualifications<br><br></strong><ul><li>Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>Proven experience as a Data Scientist or a similar role, with a focus on data analysis and machine learning.</li><li>Proficiency in data manipulation and analysis using programming languages, such as Python</li><li>Experience designing, training and finetuning models in computer vision, pattern analysis, anomalies detection or data mining fields</li><li>Strong knowledge of statistical analysis, hypothesis testing, and machine learning algorithms.</li><li>Experience with data visualization tools and techniques to communicate insights effectively.</li><li>Familiarity with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark) is a plus.</li><li>Solid understanding of data preprocessing, feature engineering, and data normalization techniques.</li><li>Experience with machine learning model formats (ONNX, etc).</li><li>Strong problem-solving and critical-thinking skills, with the ability to approach complex business problems analytically.</li><li>Effective communication and presentation skills, with the ability to convey technical concepts to non-technical audiences.<br><br></li></ul><strong>Our Benefits &amp; Perks<br><br></strong><ul><li>Competitive compensation packages and comprehensive medical insurance to support you and your family.</li><li>Wellbeing-focused initiatives and resources, designed to enhance your personal and professional life.</li><li>Access to exclusive discount programs, offering savings across various lifestyle and leisure experiences across the UAE.<br><br></li></ul><strong>What Makes a Great Fit<br><br></strong>If you are performance-driven and possess an inquisitive mind with the agility to navigate ambiguity, you will thrive here. At the heart of the Space42 community is a bias for action and a passion for developing innovative, efficient space services through AI-driven smart solutions that drive technological advancements and create a better tomorrow.

<strong>Overview<br><br></strong>M42 is a global health champion powered by artificial intelligence (AI), technology and genomics to advance innovation in health for people and the planet. Headquartered in Abu Dhabi, M42 combines its specialized, state-of-the-art facilities with integrated health solutions like genomics and biobanks, and harnesses advanced technologies to deliver precise, preventive and predictive care, to disrupt traditional healthcare models and positively impact lives globally.<br><br>The Senior Bioinformatician will join a multidisciplinary genomics and bioinformatics team supporting the Emirati Genome Program (EGP), a national-scale whole genome sequencing initiative. The role is responsible for independently leading complex bioinformatics and human genetics analyses, applying robust analytical methodologies, and introducing innovative tools and approaches that enhance the organization's scientific and technical capabilities. The position contributes to translational research, scientific discovery, and publication activities through the analysis of large-scale genomic and phenotype-linked datasets.<br><br><strong>Responsibilities<br><br></strong><ul><li>Lead the design and execution of bioinformatics analyses on large-scale human genomic datasets, including whole genome sequencing (WGS) data.</li><li>Perform genomic analyses including variant discovery, genotype-phenotype analysis, population genetics, association studies, rare variant analysis, ancestry-aware analysis, and family-based genomic investigations.</li><li>Analyze and interpret genomic findings within the context of human genetics, population structure, clinical phenotypes, and scientific evidence.</li><li>Assess data quality, analytical assumptions, biases, and limitations to ensure scientific rigor and reproducibility.</li><li>Integrate genomic, clinical, and phenotype data to support translational and clinically relevant research.</li><li>Develop, optimize, and implement bioinformatics workflows, pipelines, and analytical methodologies.</li><li>Evaluate emerging technologies, tools, datasets, and analytical approaches and introduce appropriate innovations to enhance team capabilities.</li><li>Collaborate with bioinformaticians, scientists, clinicians, researchers, and technical teams to deliver cross-functional research objectives.</li><li>Contribute to scientific publications, manuscripts, technical reviews, presentations, and conference activities.</li><li>Communicate analytical methods, results, risks, assumptions, and recommendations effectively to technical and non-technical stakeholders.</li><li>Ensure compliance with organizational policies, regulatory requirements, data governance standards, and scientific best practices.</li><li>Support continuous improvement initiatives that enhance analytical quality, operational efficiency, and scientific outcomes.<br><br></li></ul><strong>Qualifications<br><br></strong><ul><li>PhD in Bioinformatics, Human Genetics, Genomics, Computational Biology, Biostatistics, Computer Science, or a related discipline.</li><li>Equivalent combination of advanced education and relevant experience may be considered.</li><li>Extensive experience in human genomics, bioinformatics, computational biology, or biomedical data science.</li><li>Proven experience independently leading complex genomic analysis projects.</li><li>Experience working with large-scale genomic datasets and whole genome sequencing data.</li><li>Strong scientific publication record preferred.</li><li>Strong proficiency in Python and/or R.</li><li>Hands-on experience with bioinformatics tools such as PLINK, REGENIE, bcftools, VCFtools, or equivalent platforms.</li><li>Strong understanding of human genetics, population genomics, variant analysis, and genotype-phenotype relationships.</li><li>Experience with clinical, phenotype, or longitudinal healthcare datasets is advantageous.</li><li>Knowledge of OMOP, FHIR, EHR-derived phenotypes, or healthcare data standards is desirable.</li><li>Experience with machine learning, artificial intelligence, or large language model applications in genomics is an advantage.</li><li>Excellent analytical, problem-solving, communication, and stakeholder management skills.</li><li>Demonstrated ability to work independently while contributing effectively within multidisciplinary teams.</li></ul>

<p><strong>Endpoint &amp; DLP Engineer – L3</strong></p><p><strong>DXC Technology | United Arab Emirates | On-site – Senior Analyst I</strong></p><p><strong>Function: Cyber Security – Managed Detection &amp; Response</strong></p><p><br></p><p><strong>Job Summary</strong></p><p>DXC Technology is seeking an experienced <strong>Endpoint &amp; DLP Engineer – L3</strong> to engineer, administer, optimize, and support enterprise <strong>Endpoint Security, EDR/XDR, and Data Loss Prevention (DLP)</strong> capabilities within a complex cybersecurity environment in the UAE.</p><p><br></p><p>The role requires strong hands-on expertise in endpoint protection, threat prevention and detection, DLP policy management, platform integrations, incident support, and advanced L3 troubleshooting.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Engineer, configure, administer, maintain, and optimize enterprise <strong>Endpoint Security, EDR/XDR, and DLP platforms</strong>.</li><li>Manage endpoint security policies across workstations, servers, and other supported enterprise endpoints.</li><li>Configure and tune <strong>malware prevention, behavioral detection, application/device controls, exploit protection, and endpoint detection policies</strong>.</li><li>Develop, implement, and tune <strong>DLP policies and rules</strong> covering endpoints, email, web, cloud services, and sensitive data channels as applicable.</li><li>Configure DLP policies for <strong>data classification, monitoring, blocking, alerting, and exception management</strong>.</li><li>Integrate endpoint and DLP platforms with <strong>SIEM, SOAR, IAM, email security, cloud security, threat intelligence, and other cybersecurity technologies</strong>.</li><li>Provide L3 troubleshooting for complex <strong>endpoint agent, policy, connectivity, performance, detection, and DLP issues</strong>.</li><li>Support SOC/MDR teams during advanced investigations involving compromised endpoints, malware, suspicious activity, or potential data leakage.</li><li>Analyze and tune security policies to improve detection and protection while minimizing false positives and operational impact.</li><li>Support platform upgrades, agent deployments, configuration changes, health monitoring, and performance optimization.</li><li>Coordinate with infrastructure, workplace, cloud, network, application, and cybersecurity teams to resolve cross-platform issues.</li><li>Maintain technical documentation covering configurations, integrations, policies, troubleshooting procedures, and operational standards.</li></ul><p><br></p><p><strong>Required Experience</strong></p><ul><li><strong>5+ years of cybersecurity experience</strong>, including strong hands-on endpoint security and/or DLP engineering experience.</li><li>Experience with enterprise <strong>EDR/XDR</strong> technologies such as Microsoft Defender for Endpoint, CrowdStrike Falcon, SentinelOne, Trellix, Palo Alto Cortex XDR, or equivalent.</li><li>Experience with enterprise <strong>DLP</strong> platforms such as Microsoft Purview DLP, Forcepoint DLP, Broadcom/Symantec DLP, Trellix DLP, or equivalent.</li><li>Strong knowledge of <strong>endpoint protection, EDR/XDR, malware prevention, threat detection, device/application control, and endpoint hardening</strong>.</li><li>Hands-on experience configuring and tuning <strong>DLP policies, detection rules, data classifications, exceptions, and enforcement controls</strong>.</li><li>Experience integrating endpoint/DLP technologies with <strong>SIEM, SOAR, IAM, cloud, email, and other security platforms</strong>.</li><li>Strong troubleshooting experience across endpoint agents, policies, integrations, and security controls.</li><li>Understanding of <strong>SOC/MDR operations, incident response, MITRE ATT&amp;CK, and data protection principles</strong>.</li><li>Working knowledge of <strong>PowerShell, Python, APIs, or other automation/scripting technologies</strong> is advantageous.</li></ul><p><br></p><p><strong>Preferred Qualifications</strong></p><ul><li>Bachelor's degree in Cybersecurity, Computer Science, IT, Engineering, or related discipline.</li><li>Experience supporting large enterprise <strong>SOC/MDR or managed security environments</strong>.</li><li>Experience securing both <strong>on-premises and cloud-connected endpoints</strong>.</li><li>UAE/GCC experience is advantageous.</li><li>Certifications related to <strong>Microsoft Security, CrowdStrike, Forcepoint, Symantec/Broadcom, GIAC, Security+, or CySA+</strong> are preferred.</li></ul><p><br></p><p><strong>Join DXC Technology and contribute to strengthening enterprise endpoint protection, threat detection, and data loss prevention capabilities in the UAE.</strong></p>

<strong>About AI71:<br><br></strong>AI71 builds enterprise-grade AI and data platform software for organizations operating in regulated, mission-critical environments.<br><br>Our solutions are delivered in two deployment modes:<br><br><ul><li>Managed SaaS — multi-tenant, cloud-hosted, continuously updated.</li><li>On-premises — single-tenant installs in customer data centres, including fully disconnected and air-gapped environments.<br><br></li></ul>Full-stack engineering at AI71 means building both the APIs and the interfaces that have to work in the cloud and behind a firewall, with bilingual UI support on one side and disconnected, air-gapped delivery on the other.<br><br><strong>The Role:<br><br></strong>As a Lead / Staff Full-Stack Engineer you set technical direction across both the frontend and backend of a critical platform area. You own multiple services and the UI surfaces built on top of them, lead architecture decisions spanning the full stack, mentor engineers across teams, and drive engineering excellence. You are a force multiplier.<br><br><strong>What You'll Do:<br><br></strong><ul><li>Define the architecture for a critical platform area, spanning API / service design and the frontend architecture that consumes it.</li><li>Lead major technical decisions: framework choices, data models, deployment patterns, and design system direction.</li><li>Mentor senior engineers across frontend and backend disciplines; raise the engineering bar across multiple teams.</li><li>Drive cross-team initiatives that improve reliability, security, developer velocity, and UI quality.</li><li>Partner with product and design on multi-quarter technical and UX strategy.</li><li>Operate as a tech lead for major full-stack projects (without people management responsibility).</li><li>Ensure platform and UI decisions support both SaaS and on-prem operating models.<br><br></li></ul><strong>What You'll Bring:<br><br></strong><ul><li>10+ years of full-stack engineering with history of architectural ownership across frontend and backend.</li><li>Strong system design at the architecture level in your primary discipline (backend: distributed systems, API architecture; or frontend: component and rendering architecture at scale), with credible fluency across the other. </li><li>Deep proficiency in Python and React.</li><li>Mentorship record in your primary discipline, with the credibility to review and guide work on the other side of the stack. </li><li>Track record of leading major technical initiatives end-to-end.</li><li>Deep comfort with platforms that run in both managed SaaS and on-premises / disconnected environments.</li><li>On-prem / air-gap delivery experience at the architecture level.</li><li>Design system leadership alongside backend architecture ownership.</li><li>Leading technical initiatives that affect multiple teams across disciplines.</li><li>Experience scaling engineering orgs that combine frontend and backend disciplines.<br><br></li></ul><strong>Nice to Have:<br><br></strong><ul><li>Open-source maintainership.</li><li>Conference speaking, technical writing, or industry thought leadership.</li><li>Arabic language skills.<br><br></li></ul><strong>Why AI71:<br><br></strong><ul><li><strong>Mission-Driven Work:</strong> Work on cutting-edge AI applications with a talented and passionate team, solving real-world challenges in critical sectors.</li><li><strong>Unparalleled Opportunity:</strong> This is a chance to innovate and solve real-world challenges using AI at a company with unique access to world-leading models and resources.</li><li><strong>Career Growth: </strong>We offer competitive compensation, benefits, and significant career growth opportunities as a foundational member of the team.</li><li><strong>World-Class Environment:</strong> Enjoy a flexible working environment and the latest tools &amp; technologies needed to do your best work.</li></ul>

<ul><li><p>Fraud Rules Management - Clari5 & HPS</p><ul><li><p>Author, configure and maintain real-time fraud detection rules, scenarios and models on Clari5 and HPS PowerCARD / HPS Secure.</p></li><li><p>Manage end-to-end rule change lifecycle: requirement gathering, development, UAT in simulation environment, deployment and post-implementation review.</p></li><li><p>Manage authorization controls, velocity checks, card controls, 3D Secure rules, and cross-channel rules for Cards, Digital Banking, Mobile, Remittances, MFK, Core banking finance system, Digital Channels and ATM/POS.</p></li><li><p>Ensure proper documentation, version control and audit trail for all rule changes.</p></li></ul><p>Rules Performance Review & Gap Analysis</p><ul><li><p>Conduct periodic rule efficacy reviews: hit rate, alert-to-fraud ratio, false positive rate, fraud detection rate, savings and loss avoidance.</p></li><li><p>Implement Champion / Challenger testing and rule tuning to reduce false positives without compromising detection.</p></li><li><p>Perform gap analysis against emerging fraud typologies: Digital frauds, APP scams, Social Engineering, Phishing, Account Takeover, CNP, Card Skimming, First-Party Fraud, Internal Frauds and Consumer application fraud</p></li><li><p>Benchmark bank's fraud controls against industry, CBUAE circulars and peer intelligence. Recommend new scenarios.</p></li></ul><p>MIS, Analytics & Insights</p><ul><li><p>Daily, weekly, monthly Fraud MIS: fraud losses, attempts prevented, channel-wise fraud trends, rule performance dashboard.</p></li><li><p>Build executive dashboards for senior management, Risk Committee and Board.</p></li><li><p>Lead root cause analysis and link analysis on high-value / high-impact fraud cases.</p></li><li><p>Work with Data Science to develop and validate statistical models and ML alerts within Clari5.</p></li></ul><p>Regulatory & Central Bank Reporting</p><ul><li><p>Maintain the Fraud Incidents Register as per CBUAE Rulebook requirements to record date, description and details of fraud incidents and make it available for CBUAE Examiners.</p></li><li><p>Manage all CBUAE fraud reporting: Fraud Incident reporting, Consumer Protection Regulation reporting, Security Incident reporting to CBUAE.</p></li><li><p>Ensure timely, accurate and compliant reporting to CBUAE, UAE FIU and internal governance forums.</p></li><li><p>Liaise with Compliance, Legal and Operations during regulatory inspections and audits.</p></li></ul><p>Leadership & Governance</p><ul><li><p>Lead and mentor a team of Fraud Analysts and MIS Analysts.</p></li><li><p>Ensure adherence to internal Risk Appetite, Fraud Risk Policy and Model Risk Governance.</p></li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor's Degree in Computer Science, Statistics, Mathematics, Finance or related field. Master's preferred.</p></li><li><p>2 to 5 years overall experience in Banking Fraud Risk, with minimum 1 year leading Fraud Analytics.</p></li><li><p>Hands-on expertise in Clari5 EFM and HPS PowerCARD - rule writing, simulation, deployment.</p></li><li><p>Strong experience in card payments, digital banking fraud and authorization systems.</p></li><li><p>Experience in UAE / GCC banking and CBUAE regulatory reporting.</p></li></ul><p>Technical Skills</p><p>Platforms: Clari5, HPS PowerCARD, T24, Threat Matrix and FinOne</p><p>Analytics: Advanced SQL, Python / R / SAS, PySpark</p><p>Visualization: Power BI, Tableau, Excel Advanced</p><p>Fraud Types: Card Present / Not Present, ATO, APP, Phishing, Mule Accounts, Remittances Fraud, Acquiring Payment fraud, Application fraud</p><p>Regulatory Knowledge</p><ul><li><p>CBUAE Retail Banking, Consumer Protection, Fraud & Security Incident Reporting</p></li><li><p>PCI-DSS, UAE NESA / UAE Information Assurance Standard</p></li></ul><p>Preferred Certifications</p><ul><li><p>CFE, Certified Fraud Analytics Professional, Clari5 Certified</p></li></ul><p>Key Competencies</p><ul><li><p>Strong analytical and problem-solving mindset</p></li><li><p>Attention to detail for regulatory reporting</p></li><li><p>Stakeholder management and ability to challenge business</p></li><li><p>Leadership and team development</p></li></ul><p>Skills</p><p>Fraud Detection</p><p>Regulatory Compliance</p><p>Team Leadership</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About the company Our client does AI match analysis for youth football.<br> Fixed cameras at the pitch record every session.<br> The models detect the events (passes, shots, goals), track the players, and read jersey numbers off low-res footage.<br> Academies and parents get match stats, highlights and a per-player record.<br> This is running today at a pilot academy in Dubai, on real matches, with paying pilots.<br> They are now taking the same stack into a second industry.<br> First customers are committed; details in conversation.<br> This hire owns the platform across both: making the live sports models better, and building the new product on the same foundations.<br> What you own • The shared CV platform, end to end: camera ingestion, detection and tracking, OCR, classification, and the reporting pipeline.<br> It powers a product in production today and a second one launching.<br> • From week one you ship to a live product: raising accuracy on the sports models with real users, while architecting the second industry's deployment on the same stack.<br> • Architecture: model selection and training strategy, annotation and dataset operations, evaluation methodology, the on-prem/cloud split.<br> • Shipping the new industry's first deployments, then hardening both products as one platform.<br> • Technical leadership of the engineering team we build under you.<br> Hiring process • Intro conversation: walk us through a CV system you built.<br> Decisions, failures, numbers.<br> • Technical deep-dive with senior engineers.<br> • Case study on real footage: spec and prototype a detection task.<br> • Founders' conversation, then offer.<br> The whole process inside two weeks for the right person Full-time.<br> Remote friendly: we hire the best person, not the nearest.<br> Working hours overlapping the Gulf, with travel to Dubai for installation and milestone weeks.<br> Competitive package plus options.<br> What we need to see • 5+ years building computer vision systems that ran in production.<br> Deployed systems with users, not notebooks.<br> • Strong Python and PyTorch, hands-on with modern detection and tracking (YOLO family, ByteTrack/DeepSORT or similar).<br> • Video pipeline experience: RTSP/IP cameras, scheduled or streaming inference, ffmpeg-level fluency.<br> • You have built datasets, run annotation operations, and measured models honestly against ground truth.<br> • You have fine-tuned open-source models (detection, OCR of the PaddleOCR/TrOCR class) and taken the next step: replacing them with your own models trained on validated annotations, with a working annotation-review loop.<br> • Fluent in the modern CV tooling ecosystem: Roboflow or equivalent for dataset and annotation operations, experiment tracking, model registries.<br> • Ownership temperament: you take a vague operational goal and return a working system without waiting for a spec.<br> Strong pluses • OCR, action recognition or pose estimation in production.<br> • Sports, retail, industrial or facility camera-analytics background.<br> • Edge deployment (Jetson or similar) and cost engineering of inference.<br> • Camera and IoT literacy: sensor and lens selection, PoE networking, ONVIF/RTSP, NVRs, weatherproof housings.<br> You can spec a site, not just a model.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description As a member of the Investment Technology support team will support various applications running in an investment management organisation. Position requires both technical and business understanding, and the candidate can interface with a variety of stakeholders including Portfolio Managers, Traders, Middle Office and Operations teams to investigate and solve system issues. Responsibilities Provide application support to several key in-house and off-the-shelf Investment Technology applications Analyse system logs, understand business workflows and identify issues within systems Swiftly resolves disruptions to technology services minimizing user impact and maintaining service levels and ensures adequate communication to stakeholders during application outages/downtime. Performs detailed root cause analysis, debugging, and interrogation and implements preventative measures Proactive problem management by determining root cause and escalation to L3 or vendor when necessary. Implements production changes and hotfixes as required to resolve incidents/problems Review and creation of high-quality procedures and knowledge articles around applications/processes to ensure information transfer and transition of new capabilities to stakeholders. Ensure service monitoring, reporting and continuous improvement of the service quality and availability Analysis performance trends and crafts action plans to address potential impacts prior to impacts occurring Accountability for own work, proactively collaborates with team members and makes suggestions to improve practices and looks for automation opportunities Being available for on-call support on a rotation basis. Capability to dissect problems into manageable parts and may lead initiatives of varying degrees of complexity Works within guidelines and policies for ongoing work; may receive general mentoring on new assignments and applications. Commitment to the service level objective and alignment with section mission and roadmap Help shape new technology standards whilst bringing new fresh ideas Skills Must have Experience supporting PMS/OMS systems such as Charles River or EMS systems such as Flextrade, Liquidnet, BBG EMS.Tethys, Orchestrade and SpiderRock Understanding of modern deployment and code management with platforms like GitLab/GitHub and CI/CD concepts preferred Experience with Databricks or similar data platforms Basic experience with a programming language and/or scripting language (e.g., Python, PowerShell, Perl, Shell, Bash, Java, JavaScript) Knowledge of middleware technology or systems integrations MQ, File transfer, Logic Apps Experience working with ITSM tools like ServiceNow and/or JIRA and technical domains (AWS, Splunk) Good SQL knowledge Basic knowledge of Automated Schedulers (e.g. Control-M/Stone Branch/Autosys) Desirable experience on monitoring tools such as GENEOS ITRS or Dynatrace Works across teams to review technology portfolio and make recommendations for procedures and practices Nice to have Bachelor's or Master's degree in computer science or related discipline or equivalent combined education and experience. Minimum of 5 years relevant experience within L2 Application support Sound technology understanding and application to financial markets Independent, highly analytical, proactive and has good communication and interpersonal skills Ability to plan and organize workload. Is adaptable and able to learn quickly Other Languages English: C1 Advanced Seniority Senior</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span><span><strong>Location: Abu Dhabi, UAE&nbsp;</strong>(Relocation Support Available for International Candidates)</span></span></p><br><br> <p><span><span>Join a technology-driven organization building and operating mission-critical digital platforms that serve large-scale internal and customer-facing services.<br> <br> We are seeking a hands-on DevOps Specialist to help design, automate, secure, and operate modern cloud-native platforms. This role is ideal for engineers who enjoy solving complex infrastructure challenges, building scalable automation, improving developer experience, and ensuring platform reliability at scale.<br> <br> This position offers the opportunity to work with modern cloud technologies, Kubernetes platforms, Infrastructure-as-Code, DevOps automation, and production-grade systems within a highly collaborative engineering environment.</span></span></p><br><br> <p><strong><span><span>What You'll Be Doing</span></span></strong></p><br><br> <ul> <li><span><span>Design, build, automate, and support cloud-native infrastructure and platforms.</span></span> </li><li><span><span>Manage and improve Kubernetes environments across production and non-production systems.</span></span> </li><li><span><span>Develop and maintain Infrastructure-as-Code using Terraform and related tooling.</span></span> </li><li><span><span>Design, implement, and optimize CI/CD pipelines and deployment automation.</span></span> </li><li><span><span>Support containerized workloads using Docker and Kubernetes.</span></span> </li><li><span><span>Implement GitOps, automation, and platform engineering best practices.</span></span> </li><li><span><span>Monitor platform health, reliability, availability, and performance using modern observability solutions.</span></span> </li><li><span><span>Troubleshoot complex production incidents and perform root cause analysis.</span></span> </li><li><span><span>Collaborate with software engineering teams to improve deployment reliability, security, scalability, and developer experience.</span></span> </li><li><span><span>Improve operational excellence through automation, self-service capabilities, and continuous improvement initiatives.</span></span> </li><li><span><span>Contribute to platform security, governance, and cloud operational standards.</span></span> </li></ul> <p><strong><span><span>Required Qualifications</span></span></strong></p><br><br> <ul> <li><span><span>Bachelor's degree in Computer Science, Engineering, Information Technology, or related discipline.</span></span> </li><li><span><span>Minimum <strong>5 years of hands-on DevOps, SRE, Platform Engineering, Cloud Engineering, or Infrastructure Engineering experience</strong>.</span></span> </li><li><span><span>Minimum <strong>3 years of hands-on Kubernetes administration and operations experience</strong>.</span></span> </li><li><span><span>Strong Linux systems administration and troubleshooting skills.</span></span> </li><li><span><span>Hands-on experience with:</span></span> <ul> <li><span><span>Kubernetes</span></span> </li><li><span><span>Docker</span></span> </li><li><span><span>Terraform</span></span> </li><li><span><span>Git</span></span> </li><li><span><span>CI/CD platforms</span></span> </li><li><span><span>Cloud infrastructure</span></span> </li></ul> </li><li><span><span>Experience supporting <strong>production environments and critical business</strong> applications.</span></span> </li><li><span><span>Experience building automation solutions using Python, Bash, Shell scripting, or similar languages.</span></span> </li><li><span><span>Strong understanding of Infrastructure-as-Code principles and cloud-native architectures.</span></span> </li><li><span><span>Financial services, fintech, banking, telecommunications, or other highly regulated environments</span></span> </li></ul> <p><strong><span><span>Preferred Qualifications</span></span></strong></p><br><br> <p><span><span>Experience in one or more of the following:</span></span></p><br><br> <ul> <li><span><span>AWS, Azure, or GCP</span></span> </li><li><span><span>GitLab CI/CD, GitHub Actions, Azure DevOps, Jenkins</span></span> </li><li><span><span>GitOps platforms such as ArgoCD or Flux</span></span> </li><li><span><span>Helm</span></span> </li><li><span><span>Prometheus, Grafana, ELK/OpenSearch, Loki, Datadog, New Relic, Splunk</span></span> </li><li><span><span>Karpenter, KEDA, Istio, Service Mesh technologies</span></span> </li><li><span><span>DevSecOps practices and security automation</span></span> </li><li><span><span>Terraform Associate, CKA, CKAD, AWS/Azure/GCP certifications</span></span> </li></ul> <p><strong><span><span>What We're Looking For.&nbsp;</span></span></strong><span><span>We are particularly interested in engineers who:</span></span></p><br><br> <ul> <li><span><span>Remain highly hands-on technically.</span></span> </li><li><span><span>Have managed Kubernetes platforms in real production environments.</span></span> </li><li><span><span>Enjoy solving infrastructure and reliability challenges.</span></span> </li><li><span><span>Have built CI/CD and automation solutions from the ground up.</span></span> </li><li><span><span>Take ownership of platform stability, operational excellence, and engineering quality.</span></span> </li><li><span><span>Thrive in collaborative, fast-moving environments.</span></span> </li></ul> <p><span><span><strong>International Candidates</strong>.&nbsp;</span></span><span><span>We welcome applications from experienced international candidates interested in relocating to Abu Dhabi. The role offers the opportunity to work on large-scale modern platforms while enjoying:</span></span></p><br><br> <ul> <li><span><span>A growing technology ecosystem</span></span> </li><li><span><span>Long-term career development opportunities</span></span> </li><li><span><span>Exposure to cloud-native and platform engineering initiatives</span></span> </li><li><span><span>Tax-efficient compensation environment</span></span> </li><li><span><span>High quality of life and international community</span></span> </li></ul> <p><br> <span><span>#LI-JS1</span></span></p><br><br> <br><br> </div>

<ul><li><p>The AI & Digital Experience Analyst drives AI innovation and adoption within Technology Operations. The role focuses on turning AI concepts into practical solutions, leading Microsoft Copilot adoption, and coaching employees to build AI agents that automate workflows and use enterprise data. </p></li><li><p>The role acts as the bridge between AI technology and business users, helping Technology Services deliver measurable operational value and improve the overall digital experience.</p><br></li></ul><p><strong>Core Accountabilities:</strong></p><ul><li><p>AI Prototyping & Execution: Act as the primary builder for internal AI agents and automation tools, transforming architectural designs and logic workflows provided by TechOps leadership into testable, functional models.</p></li><li><p>Copilot Studio Expertise: Serve as the organisation’s subject-matter expert for Microsoft Copilot Studio, helping end users design, build, and publish their own agents – from simple question-and-answer bots to advanced agents with custom topics, actions, connectors, knowledge sources, and orchestration.</p></li><li><p>Enterprise AI Adoption: Lead user campaigns and training programs across the organization to drive the adoption of digital workplace tools, specifically spearheading the Microsoft Copilot training initiative.</p></li><li><p>Strategic Impact Reporting: Design and maintain executive dashboards and “Impact Stories” that translate complex TechOps achievements (e.g., automated ticket deflection, infrastructure cost savings, system uptime) into clear, business-facing metrics.</p><br></li></ul><p><strong>Operational responsibilities:</strong></p><ul><li><p>Copilot Studio Enablement: Run hands-on workshops and one-to-one coaching sessions that guide end users through building agents in Microsoft Copilot Studio, including advanced capabilities such as custom topics, generative actions, knowledge sources, connectors, and agent orchestration.</p></li><li><p>Model Training & Testing: Ingest, format, and structure internal data (policies, IT documentation) for AI Knowledge Bases. Conduct rigorous prompt testing, log hallucination rates, and refine agent outputs prior to production deployment.</p></li><li><p>Digital Experience Advocacy: Conduct live training sessions and workshops with business units to demonstrate the capabilities of deployed AI tools and gather user feedback for continuous improvement.</p></li><li><p>Proof of Concept (PoC) Development: Rapidly build internal PoCs using existing platforms to validate business requests before the organization full approve full implementation.</p></li><li><p>Governance & Best Practice: Define and share reusable templates, guardrails, and best-practice guidance so that user-built Copilot Studio agents remain secure, compliant, and aligned with ADGM standards.</p></li><li><p>Performance Tracking: Monitor the daily usage and success rates of deployed AI Service Desk agents and provide weekly analytics on automated ticket resolution.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>6–10 years experience overall, including 1–3 years in AI.</p></li><li><p>Bachelor’s degree in AI, Computer Science, IT, or related technical field.</p></li><li><p>Strong understanding of LLMs, prompt engineering, and AI tools.</p></li><li><p>Hands-on experience with Copilot and Copilot Studio, including building/configuring agents, topics, actions, and connectors.</p></li><li><p>Basic Python/PowerShell scripting for data and API integrations.</p></li><li><p>Strong communication and presentation skills, able to translate AI concepts for non-technical users.</p></li><li><p>Strong problem-solving, rapid prototyping, and ability to stay current with emerging AI tools and models.</p></li><li><p>Agile, cloud-first environment with continuous learning and rapid adoption of new AI technologies.</p></li></ul><br><p><strong>Note: </strong>This is a full-time role with ADGM, engaged through an outsourcing partner and based within the Technology Services Division.</p><br>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Purpose<p><span>Join the Emirates Group Analytics Centre of Excellence (ACoE) and help shape the future of data science, artificial intelligence and advanced analytics across one of the world's leading aviation and travel organisations.</span></p><br><br><br><p><span><span>As a <strong>Senior Data Scientist/ Senior AI Engineer,</strong> you will lead the design and delivery of innovative machine learning, optimisation and AI solutions for business that influence strategic decisions, improve operational performance and create exceptional customer experiences. You will work on complex challenges at scale while mentoring others and driving the adoption of AI and advanced analytics across the organisation. </span></span></p><br><br><br><p><strong><span>In this role, you will:</span></strong></p><br><br><ul><li><span>Lead end-to-end AI initiatives from problem definition through to deployment and value realisation.</span></li><li><span>Partner with business leaders to transform strategic challenges into scalable AI and analytics solutions.</span></li><li><span>Design and implement advanced machine learning, optimisation and simulation models.</span></li><li><span>Develop AI-powered capabilities leveraging GenAI, LLMs and Agentic AI technologies.</span></li><li><span>Drive experimentation, model validation and performance measurement to ensure business impact and automate business decisions. </span></li><li><span>Lead the development of reusable data science frameworks, libraries and production-ready solutions.</span></li><li><span>Collaborate closely with engineering teams to operationalise machine learning and AI products.</span></li><li><span>Mentor and coach junior data scientists while helping shape best practices across the wider analytics community.</span></li><li><span>Champion innovation and identify emerging technologies that can create competitive advantage.</span></li></ul><br>Qualification<p><strong><span>To be considered for this role, you must meet the below requirements:</span></strong></p><br><br><p><span><strong><span>Qualifications</span></strong></span></p><br><br><ul><li><span>MSc or PhD in Data Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Operations Research, Computer Science or a related quantitative discipline.</span></li></ul><p><span><strong><span>Experience</span></strong></span></p><br><br><ul><li><span>4-7+ years of experience delivering advanced analytics, machine learning, optimisation or AI solutions in large, complex organisations.</span></li></ul><p><span><strong><span>Knowledge &amp; Skills</span></strong></span></p><br><br><ul><li><span>Expert knowledge of machine learning, statistical modelling and advanced analytics.</span></li><li><span>Strong experience with GenAI, LLMs, Agentic AI and emerging AI technologies.</span></li><li><span>Hands-on AI Engineering experience including model deployment, Agentic orchestration frameworks, evaluation frameworks, observability and monitoring, RAG architectures and scalable AI application development.</span></li><li><span>Experience with optimisation frameworks such as Gurobi, FICO or CPLEX.</span></li><li><span>Strong programming skills in Python and SQL.</span></li><li><span>Experience with Git, Docker, CI/CD pipelines and MLOps practices.</span></li><li><span>Proven experience deploying production-grade analytics and AI solutions.</span></li><li><span>Strong stakeholder management and communication skills with the ability to influence senior leaders.</span></li><li><span>Experience mentoring and developing technical talent.</span></li><li><span>A commercial mindset focused on delivering measurable business value through AI and analytics. </span></li></ul><br><p><strong><span>Preferred Experience</span></strong></p><br><br><ul><li><span>Experience building and deploying AI applications using LLM orchestration frameworks (LangGraph, LangChain, Semantic Kernel or equivalent).</span></li><li><span>Experience with Retrieval Augmented Generation (RAG), vector databases, AI agents and multi-agent systems.</span></li><li><span>Experience evaluating, monitoring and governing production AI systems.</span></li><li><span>Understanding of cloud-native AI platforms and modern AI engineering best practices.</span></li></ul>Salary &amp; benefits<p><span>Join us in Dubai and enjoy an attractive tax-free salary alongside exceptional travel, healthcare and lifestyle benefits. You'll work on some of the most exciting AI, data science and optimisation challenges in the industry while helping shape the future of analytics at global scale. </span></p><br><br><br> </div>

<ul><li><p>Designing and building Generative AI applications using Large Language Models (LLMs)</p></li><li><p>Developing Agentic AI solutions, including autonomous agents, multi-agent orchestration, and workflow-driven decision systems</p></li><li><p>Building solutions using frameworks such as LangChain, LangGraph or similar agent frameworks</p></li><li><p>Implementing RAG architecture with vector databases</p></li><li><p>Knowledge of embeddings, vector DBs, and model evaluation.</p></li><li><p>Implement various Context Engineering strategies to reduce Token Utilization & Latency.</p></li><li><p>Implement RAG Strategies to reduce retrieval latency and answer relevancy.</p></li><li><p>Prompt engineering, tool calling, memory management, and agent orchestration</p></li><li><p>Integrating AI services with enterprise APIs, middle ware, and backend systems</p></li><li><p>Evaluated & Improvise AI Agent Performance using several metrics</p></li><li><p>Deploying scalable AI solutions on Azure / AWS cloud platforms</p></li><li><p>Working with model evaluation, guardrails, observability, and AI governance</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor’s degree in computer science, Engineering, or a related field.</p></li><li><p>Senior professional with around 10 years of experience.</p></li><li><p>3+ years of relevant experience in AI Engineering</p></li><li><p>Working experience in an agile software development environment with a good understanding of the principles of agile architecture. Strong collaborative mindset for collective decentralized decision making.</p></li><li><p>Demonstrate strong technical skills with a deep understanding of modern architectural styles and practices such as Microservices, Containers, Cloud (AWS, Azure), APIs, Continuous Delivery, Event-driven architecture, Evolutionary architecture, etc., with a passion for hands on coding.</p></li><li><p>Strong foundation knowledge of software architecture concepts, patterns, principles, and quality attributes. Ability to consistently apply them in real-world scenarios with a pragmatic, system thinking, and problem-solving mindset by analyzing architecture trade-offs for delivering high-quality, sustainable solution architecture.</p></li><li><p>Proven leadership skills with a proactive, positive, and growth mindset. Ability to foster and motivate programmers for delivering with craftsmanship. Good personal skills to continuously engage and communicate with an egoless empathetic mindset.</p></li><li><p>Experience and expertise in delivering architecture for large software solutions meeting critical business purposes. Ability to proactively discover technical debts and continuous improvement opportunities of existing live systems. Work closely with the product owner and enterprise architects to influence and prioritize technical backlog items.</p></li><li><p>Strong proficiency in Python (NumPy, pandas, FastAPI, PyTorch/TensorFlow).</p></li><li><p>Experience with Agent framework LangChain, Lang Graph.</p></li><li><p>Architect end-to-end data indexing pipelines optimized for semantic search and RAG.</p></li><li><p>Design resilient data ingestion frameworks that ensure high availability and low latency for vectorized datasets.</p></li><li><p>Experience deploying and managing models via Amazon Bedrock, Azure OpenAI Service, and Google Vertex AI.</p></li><li><p>Integration of pre-built AI APIs for Speech-to-Text, Computer Vision, and Natural Language Processing (NLP).</p></li><li><p>Leveraging serverless architectures (e.g., AWS Lambda, Azure Functions) to trigger AI inference and data pre-processing.</p></li><li><p>Experience working with CI/CD tools like Jenkins/Gitlab in Cloud Native environments.</p></li><li><p>Experience in setting up pipeline for cloud based and on-prem based application with static code analysis, requirement tagging in Jira.</p></li><li><p>Experience working with one or more DevOps tools & config management tools.</p></li><li><p>Experience in managing and deploying AI workloads in Kubernetes.</p></li><li><p>Experience operating monitoring tools for traditional and cloud environments.</p></li><li><p>Strong analytical mind for problem solving.</p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> <p><span>JOB PURPOSE:</span><br>Assist in maintaining and enhancing the internal control framework across multiple business units and ensuring<br>robust internal control processes. Assist in the preparation of documentation for internal controls, coordinating<br>with multiple teams in the Organization, and leveraging financial systems to ensure accurate and efficient<br>internal control processes. Well-versed in SOX Compliance and its requirements and is responsible for ensuring<br>that the Organization adheres to the Sarbanes-Oxley Act requirements and PCAOB standards.</p><br><p><span>Job Specific Accountabilities</span><br>Internal Control Framework<br>• Assist in developing, implementing, and maintaining the internal control framework for the finance<br>department.<br>• Support the risk and control self-assessment (RCSA) and key risk indicators (KRIs) to monitor the<br>effectiveness of controls.<br>• Conduct regular testing of financial controls, processes, and procedures to identify discrepancies or errors.<br>• Establishing homogeneous control testing between AD and its subsidiaries<br>• Assist in developing action plans to address audit findings and high-risk items.<br>• Analyze data and provide insights to management on the effectiveness of internal controls.<br>• Ensure compliance with internal policies and procedures related to financial operations and systems.<br>• Maintain documentation of financial and system processes and controls.<br>Regulatory Compliance, Risk Assessment and Mitigation<br>• Assist in identifying, evaluating, and mitigating financial and operational risks.<br>• Support the development and implementation of robust risk management strategies.<br>• Assist in testing the effectiveness of risk management activities.<br>• Ensure compliance with Sarbanes-Oxley (SOX) requirements and PCAOB standards.<br>Policy and Procedure Development:<br>• Participate in developing and implementing financial and system-related policies and procedures.<br>• Ensure policies and procedures are communicated and adhered to across the organization.</p><br><p>Audit and Review<br>• Organize and provide the required documentation and detailed explanations for internal and external<br>audits as requested.<br>• Support communication with external auditors by gathering and organizing required information, ensuring<br>smooth interaction and compliance.<br>• Assist in planning and executing internal audits to assess the effectiveness of internal controls.<br>• Assist in preparing documentation and detailed audit reports including control descriptions, testing results,<br>and any necessary follow-up actions.<br>General Responsibilities<br>• Integrate the internal control framework into everyday operations and decision-making processes.<br>• Work collaboratively with various departments to support their internal control and governance<br>requirements.<br>• Stay informed about regulatory changes and assist in updating internal controls to ensure compliance.<br>• Regularly report to the internal controls team on the status of internal controls and risk management<br>activities.<br>• Contribute to the implementation of strategic initiatives related to internal control and governance.<br>• Comply with all UAE, ADNOC, ADNOC Drilling and client Asset Integrity Management codes of practice.</p><br><p><span>QUALIFICATIONS, EXPERIENCE, KNOWLEDGE &amp; SKILLS:</span></p><br><p><br><span>Minimum Qualification</span></p><br><p><br>• Bachelor’s degree in accounting, finance, Business Administration or equivalent</p><br><p><br><span>Minimum Experience &amp; Knowledge &amp; Skills</span></p><br><p><br>• 7 to 8 years of experience in finance and systems compliance, preferably in a regulated industry across<br>different countries and in various ERPs like SAP, Oracle, etc.<br>• Coding – Python, C++ language.<br>• Fluency in spoken and written English.<br>• Strong analytical and computing ability.</p><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We're looking for a highly technical AI Solutions Architect who is passionate about solving complex business problems using AI.<br> This is a hands-on role for someone who enjoys understanding how businesses operate, designing intelligent AI-powered solutions, and bringing those solutions to life through automation and software development.<br> You'll work across a variety of AI initiatives, from understanding business challenges and designing solution architectures to building scalable, production-ready systems that create measurable business value.<br> We're looking for someone who doesn't just execute ideas, but actively contributes them.<br> Someone who is naturally curious, constantly exploring new AI capabilities, and proactively identifying opportunities to improve how we work, solve problems, and create value.<br> What You'll Do ❏ Analyze business processes and identify opportunities where AI and automation can create measurable value.<br> ❏ Design end-to-end AI solution architectures, workflows, and automation strategies before implementation.<br> ❏ Translate business requirements into scalable technical solutions.<br> ❏ Recommend the most appropriate technologies and implementation approach for each solution.<br> ❏ Build AI-powered applications, intelligent assistants, and workflow automations.<br> ❏ Design and build solutions using no-code platforms, low-code tools, custom software, or a combination of them, depending on what best fits the problem.<br> ❏ Integrate AI solutions with business platforms using APIs, automation technologies, and custom software.<br> ❏ Rapidly prototype ideas and validate concepts before full implementation.<br> ❏ Continuously identify opportunities where AI and automation can improve business operations, productivity, and decision-making.<br> ❏ Proactively propose, prototype, and implement new AI initiatives that create measurable business value.<br> ❏ Challenge existing processes and recommend better ways of solving problems using AI and automation.<br> ❏ Research, evaluate, and implement emerging AI technologies where they create real business value.<br> ❏ Continuously optimize and improve existing AI systems and automations.<br> ❏ Document solution architectures, technical decisions, and implementation approaches.<br> ❏ Collaborate with cross-functional teams throughout discovery, design, implementation, and optimization.<br> You're Our Match If You.<br>.. ❏Have a proven track record of designing, architecting, and building AI-powered applications, intelligent systems, or workflow automations.<br> ❏ Can analyze business problems and translate them into practical AI solutions.<br> ❏ Think in systems and enjoy designing solution architectures before writing code.<br> ❏ Can evaluate multiple implementation approaches and select the one best suited for the problem.<br> ❏ Are proficient in Python and have a strong software engineering foundation.<br> ❏ Have experience integrating APIs and third-party platforms.<br> ❏ Have experience building workflow automations using no-code platforms, low-code tools, custom software, or a combination of them.<br> ❏ Understand modern AI technologies and know when and how to apply them effectively.<br> ❏ Can balance technical feasibility with business objectives.<br> ❏ Naturally identify opportunities where AI can simplify, improve, or transform the way people work.<br> ❏ Think like a product builder, constantly looking for new ideas worth exploring and validating.<br> ❏ Challenge assumptions and recommend better approaches rather than simply executing requirements.<br> ❏ Have strong analytical, problem-solving, and communication skills.<br> ❏ Are proactive, take ownership, and enjoy turning ideas into working solutions with minimal supervision.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>The Measurement team is responsible for demonstrating and improving the effectiveness of advertising on TikTok. We partner with advertisers, agencies, and cross-functional teams to interpret campaign performance, shape measurement strategies, and unlock stronger business outcomes through data-driven insights. Our team sits at the intersection of sales, product, analytics, and marketing. We help clients understand how TikTok drives results across branding and performance objectives, while also influencing the evolution of measurement products, solutions, and partnerships. About the Role As a Measurement Partner - Centre of Excellence, you serve as a key regional specialist dedicated to solving complex performance-advertising challenges across your desginated region. Operating as an individual contributor, you will partner closely with regional measurement, product, and sales teams to analyze sophisticated data sets, optimize ad campaigns, and directly improve ROI. This role offers a unique opportunity to lead deep analytical initiatives, prototype measurement tooling, and design experimental methodologies that will directly shape and influence TikTok's broader regional measurement strategy. Responsibilities - Collaborate with sales and measurement teams across the region to develop, implement and lead regional measurement strategies that drive business growth - Support the ideation, creation, and prototyped deployment of sophisticated custom insights, ad effectiveness meta-analysis, or tooling for large-scale data environments for use by wider measurement teams - Act as a regional specialist on full funnel measurement, contributing to cross-functional projects - Design and test bidding, targeting, and optimisation methods to support new product and feature development - Track and report advertiser success metrics to support and grow adoption of measurement solutions across the region - Develop and maintain dashboards, reports, and tools to track Source of Truth (SoT), key performance indicators (KPIs), and measure campaign effectiveness - Analyze and interpret data from various sources, including ad performance, user behavior, and market trends - Provide actionable insights and recommendations to sales and measurement teams to optimize ad campaigns and improve ROI - Stay up-to-date with industry trends, best practices, and new measurement methodologies to continuously improve our regional measurement capabilities Minimum Qualifications: - Strong, proven experience in analytics and digital advertising from large marketing-related organisations or measurement suppliers. - Bachelor's degree in a quantitative field (e.g., statistics, mathematics, economics, or computer science) or equivalent. - Proven experience in Data Science, Data Analysis, Measurement, or a related field. - Demonstrated ability to drive projects independently and influence cross-functional stakeholders in a matrixed environment. - Strong analytical and problem-solving skills, with the ability to interpret complex data sets and communicate insights effectively. - Excellent communication and collaboration skills, with the ability to work closely with regional teams. - Exceptional time management and goal-oriented task management skills. Preferred Qualifications: - Experience working within the regional digital advertising ecosystem, including media agencies and complex, data-driven marketing organisations. - Experience with executing custom analytical work where SQL, HIVE, R, or Python is preferred. - Proficiency in data analysis and visualization tools (e.g., SQL, Excel, Tableau, Power BI). - Familiarity with privacy-first innovation for marketing measurement systems.</p> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>The Design for Excellence Lab at New York University Abu Dhabi (NYUAD) is seeking to recruit a Junior Research Scientist under the supervision of Dr. Ozgur Sinanoglu. The successful candidate will closely work with faculty supervisor on hardware security projects. The ideal candidate will have an excellent knowledge of cybersecurity. Applicants must have a BSc or MSc in Computer Engineering or related field. </p><br><br> <p><strong>Responsibilities of the Position: </strong></p><br><br> <ul> <li>Conduct world-class research in hardware security.</li> <li>Analyze a research problem, design, implement, and test the solution. </li> <li>Write a research article. Present the result in a conference, workshop etc.</li> <li>Publish work in top-tier conferences and journals.</li> <li>Work closely with collaborators (such as government entities and companies) to deliver groundbreaking results.</li> </ul>Qualifications<p><strong>Essential Qualifications:</strong></p><br><br> <ul> <li>BSc or MSc in Computer Engineering or Electrical engineering with expertise in hardware security.</li> <li>Excellent analytic, design, and coding skills.</li> <li>Familiar with a programming language, such as MATLAB, Python, C etc and/or hardware description language such VHDL or Verilog.</li> <li>Excellent communication (both writing and oral) and interpersonal skills.</li> <li>Can work independently or in a team.</li> <li>Willingness to take initiative.</li> </ul> <p>A Junior Research Scientist is typically a graduate with a Master’s degree and less than five years of research experience in the relevant field, or a Bachelor's degree with any level of experience. </p><br><br>Application Instructions<p><strong><span>Applicants are to provide:</span></strong></p><br><br> <ol> <li>Cover Letter</li> <li>CV</li> <li>Official degree certificate or, if not available yet, latest academic transcript.</li> <li>List of publications</li> <li>Two letters of reference with referee contact information</li> </ol> <p><span>Questions regarding specifics for this position may be directed to </span>hr1103@nyu.edu.</p><br><br> <p><strong>About NYU Abu Dhabi<br></strong>https://nyuad.nyu.edu/en/<br>NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. <br>NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.<br>Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.<br><strong>Working for NYUAD</strong><br>At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. <br>Visit our website for more information on benefits for you and your dependents.<br>NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.<br>Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.<br><em><strong>Join NYU Abu Dhabi, an exceptional place for exceptional people.</strong></em><br>NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission.<br><em>@WorkAtNYUAD</em></p><br><br><br> </div>

????️ We're Hiring: IT Infrastructure Solutions Engineer???? Location: United Arab Emirates (Remote)???? Employment Type: Full-Time???? Experience Level: Mid-Level???? Work Arrangement: Fully Remote About UsKelmora is a growing international organization focused on enterprise technology, IT infrastructure, digital transformation, operational efficiency, and sustainable business growth. Our teams collaborate across Information Technology, Infrastructure, Engineering, Cybersecurity, Operations, and Business Services to design and deliver reliable, secure, and scalable technology solutions. The Role We are seeking a technically skilled and solutions-focused IT Infrastructure Solutions Engineer to design, implement, support, and optimize infrastructure solutions that meet business and operational requirements. The role will work across systems, networks, cloud platforms, virtualization, security, and enterprise IT services, helping transform business requirements into practical and reliable infrastructure solutions. Key Responsibilities Design and implement IT infrastructure solutions aligned with business requirements. Analyze infrastructure requirements and recommend appropriate technologies. Develop technical solutions covering servers, networks, storage, cloud, and systems. Evaluate infrastructure architectures for performance, scalability, security, and reliability. Support Windows and Linux server environments. Design and maintain virtualized infrastructure and virtual machines. Support cloud infrastructure across Azure, AWS, or comparable platforms. Develop and maintain enterprise network and connectivity solutions. Configure and troubleshoot DNS, DHCP, TCP/IP, VPN, routing, and switching services. Support Active Directory, Entra ID, authentication, and access-management solutions. Integrate infrastructure solutions with existing corporate IT environments. Conduct technical assessments of existing infrastructure and identify improvement opportunities. Prepare technical designs, architecture documents, diagrams, and implementation plans. Develop solution specifications, technical procedures, and operational documentation. Support infrastructure deployments, migrations, upgrades, and technology refresh projects. Perform infrastructure testing and validate solution performance before production deployment. Monitor infrastructure performance, availability, capacity, and service health. Troubleshoot complex infrastructure incidents and technical issues. Conduct root-cause analysis and develop permanent corrective solutions. Implement infrastructure monitoring, alerting, backup, and recovery solutions. Support disaster recovery and business continuity initiatives. Apply cybersecurity, hardening, patching, and vulnerability-management requirements. Collaborate with cybersecurity teams to ensure infrastructure solutions meet security standards. Evaluate new infrastructure technologies and assess their suitability for business use. Coordinate with technology vendors, consultants, and managed service providers. Assist with vendor technical evaluations and solution comparisons. Provide technical input for infrastructure procurement and technology selection. Estimate infrastructure resources, capacity, licensing, and implementation requirements. Develop scripts and automation to improve infrastructure deployment and administration. Identify opportunities to standardize and automate infrastructure operations. Maintain accurate records of infrastructure configurations, dependencies, and assets. Support change-management, incident-management, and problem-management processes. Prepare technical reports covering infrastructure performance, incidents, risks, and improvements. Participate in infrastructure audits, compliance reviews, and technical assessments. Provide technical guidance and knowledge transfer to IT support and operations teams. Contribute to continuous improvement of enterprise infrastructure architecture and services. Requirements Diploma or Bachelor’s degree in Information Technology, Computer Science, Systems Engineering, or a related field.3+ years of experience in IT infrastructure engineering, solutions engineering, systems administration, or IT operations. Strong knowledge of enterprise infrastructure architecture and technologies. Hands-on experience with Windows and Linux environments. Solid understanding of enterprise networking, TCP/IP, DNS, DHCP, VPNs, routing, and switching. Experience with virtualization technologies such as VMware or Hyper-V. Practical knowledge of Azure, AWS, or other cloud infrastructure platforms. Experience with Active Directory, Entra ID, Group Policy, and identity-management solutions. Understanding of storage, backup, disaster recovery, and high-availability concepts. Knowledge of infrastructure security, vulnerability management, and system hardening. Familiarity with infrastructure monitoring and IT service-management platforms. Experience with Power Shell, Python, Bash, or other scripting and automation technologies. Strong technical analysis and troubleshooting abilities. Ability to translate business requirements into practical technical solutions. Strong documentation, presentation, and technical communication skills. Excellent problem-solving and project coordination abilities. Good command of written and spoken English. UAE or GCC infrastructure experience is an advantage but not mandatory. Relevant certifications such as Azure, AWS, Cisco, Microsoft, VMware, Comp TIA, or ITIL are welcome but not required. What We Offer???? Fully Remote Work Arrangement???? Full-Time IT Infrastructure Solutions Engineer Position???? Career Growth & Professional Development????️ Exposure to Enterprise Infrastructure Architecture & Solutions☁️ Hands-On Experience with Cloud & Virtualization Technologies???? Opportunities to Develop Infrastructure Security Expertise???? Exposure to Automation & Infrastructure Optimization???? International & Collaborative Working Environment???? Flexible Working Environment???? Opportunity to Design & Deliver Scalable IT Infrastructure Solutions

????️ We're Hiring: Corporate IT Infrastructure Engineer???? Location: United Arab Emirates (Remote)???? Employment Type: Full-Time???? Experience Level: Mid-Level???? Work Arrangement: Fully Remote About UsKelmora is a growing international organization focused on enterprise technology, corporate IT infrastructure, digital workplace solutions, operational efficiency, and sustainable business growth. Our teams collaborate across Information Technology, Infrastructure, Cybersecurity, Operations, Engineering, and Business Services to provide secure, reliable, and scalable technology environments. The Role We are seeking a highly capable and service-oriented Corporate IT Infrastructure Engineer to maintain and improve the technology infrastructure supporting corporate users, business applications, offices, and remote operations. The role will be responsible for systems administration, network infrastructure, cloud services, endpoint environments, security controls, infrastructure monitoring, and technical support while helping ensure reliable and secure IT services across the organization. Key Responsibilities Manage and maintain corporate IT infrastructure and technology services. Support the daily operation of enterprise systems and infrastructure platforms. Administer Windows and Linux servers and related services. Maintain corporate network infrastructure, connectivity, VPNs, and Wi-Fi services. Configure and troubleshoot TCP/IP, DNS, DHCP, routing, and switching environments. Manage Active Directory, Entra ID, Group Policy, and user authentication services. Support Microsoft 365 and other corporate productivity platforms. Administer user accounts, permissions, access rights, and security policies. Monitor infrastructure availability, performance, capacity, and system health. Investigate infrastructure alerts, outages, and service interruptions. Provide technical support for infrastructure-related incidents and service requests. Troubleshoot hardware, operating system, application, and connectivity issues. Manage corporate laptops, desktops, mobile devices, and IT equipment. Support endpoint management, configuration, patching, and software deployment. Maintain virtualization environments and virtual machines. Support cloud infrastructure and services across Azure, AWS, or similar platforms. Perform routine infrastructure maintenance, upgrades, and configuration changes. Manage server and endpoint patching activities. Support backup, restoration, disaster recovery, and business continuity procedures. Monitor backup jobs and participate in recovery testing. Apply infrastructure security and system-hardening standards. Coordinate vulnerability remediation and security updates. Maintain antivirus, endpoint protection, and other infrastructure security solutions. Manage infrastructure-related tickets through IT service-management platforms. Prioritize incidents according to business impact and service-level requirements. Escalate complex technical issues to senior engineers or specialist teams. Coordinate with cybersecurity, application, network, and service desk teams. Work with external vendors and managed service providers when required. Assist with IT infrastructure projects, migrations, upgrades, and deployments. Maintain infrastructure documentation, network diagrams, asset records, and technical procedures. Conduct infrastructure health checks and performance reviews. Analyze recurring incidents and identify root causes and permanent solutions. Develop scripts and automation to improve infrastructure administration. Assist with infrastructure capacity planning and technology lifecycle management. Support IT audits, compliance assessments, and internal security reviews. Identify opportunities to improve corporate IT reliability, efficiency, and user experience. Requirements Diploma or Bachelor’s degree in Information Technology, Computer Science, Systems Engineering, or a related field.3+ years of experience in corporate IT infrastructure, systems administration, or IT operations. Strong knowledge of Windows and Linux server environments. Solid understanding of enterprise networking and connectivity technologies. Practical experience with Active Directory, Entra ID, Group Policy, and identity management. Experience supporting Microsoft 365 or comparable enterprise productivity platforms. Knowledge of virtualization technologies such as VMware or Hyper-V. Familiarity with Azure, AWS, or other cloud infrastructure platforms. Understanding of backup, disaster recovery, business continuity, and infrastructure monitoring. Knowledge of cybersecurity fundamentals, endpoint protection, patching, and system hardening. Experience with ITSM, service desk, or ticketing systems. Basic scripting and automation experience using Power Shell, Python, Bash, or similar tools. Strong troubleshooting and root-cause analysis capabilities. Excellent organizational and problem-solving skills. Strong communication and stakeholder-management abilities. Good command of written and spoken English. Ability to work independently and manage priorities in a fully remote environment. UAE or GCC corporate IT experience is an advantage but not mandatory. Relevant certifications such as Microsoft, Cisco, Comp TIA, ITIL, Azure, AWS, or VMware are welcome but not required. What We Offer???? Fully Remote Work Arrangement???? Full-Time Corporate IT Infrastructure Engineer Position???? Career Growth & Professional Development????️ Enterprise Systems, Network & Infrastructure Experience☁️ Exposure to Cloud, Virtualization & Digital Workplace Technologies???? Opportunities to Develop IT Security & Infrastructure Skills???? International & Collaborative Working Environment???? Flexible Working Environment???? Opportunity to Improve Corporate IT Reliability & Performance???? Exposure to Modern Enterprise Technology & Infrastructure Projects