Python Developer Jobs in UAE

<ul><li><p>Design, develop, and maintain scalable and robust backend services and APIs that power our applications.</p></li><li><p>Write clean, efficient, and well-documented code in languages such as Python, Java, or Go.</p></li><li><p>Collaborate with frontend engineers and product managers to translate requirements into technical solutions.</p></li><li><p>Implement and manage database schemas, optimizing for performance and data integrity.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Required Experience / Knowledge Areas *</p><ul><li><p>5+ years of backend development experience with at least 3 years building Spring Boot microservices.</p></li><li><p>Proven experience delivering enterprise banking, fintech, payments, digital banking, or financial services solutions.</p></li><li><p>Strong understanding of banking integration patterns, API Gateways (Kong, Layer7), and enterprise integration architecture.</p></li><li><p>Experience working within regulated environments with strong security, audit, and compliance requirements.</p></li><li><p>Experience building highly available and scalable systems supporting mission-critical customer journeys.</p></li><li><p>Understanding of CI/CD, DevSecOps, cloud-native development, and containerized deployments.</p></li><li><p>Experience with Kafka, IBM MQ, Rabbit MQ or other messaging technologies.</p></li><li><p>Knowledge of OpenShift, Kubernetes, Docker, Istio Service Mesh, and container orchestration platforms.</p></li></ul><p>Required Skills *</p><ul><li><p>Strong experience in Java 17+, Spring Boot, Spring Cloud, Spring Security, and Microservices Architecture.</p></li><li><p>Hands-on experience in designing and developing REST APIs, OpenAPI/Swagger specifications, and API lifecycle management.</p></li><li><p>Strong knowledge of API security including OAuth 2.0, OpenID Connect (OIDC), JWT, mTLS, and certificate management.</p></li><li><p>Experience with Azure services including Azure Kubernetes Service (AKS), Azure App Services, Azure Key Vault, Azure Storage, Application Insights, and Azure DevOps.</p></li><li><p>Experience with relational and NoSQL databases such as Oracle, PostgreSQL, SQL Server, MongoDB, and Redis.</p></li><li><p>Strong understanding of design patterns, distributed systems, resilience patterns, and fault tolerance mechanisms.</p></li><li><p>Knowledge of OWASP Top 10, and secure SDLC practices.</p></li></ul><p>Skills</p><p>Java 17+</p><p>Spring Boot</p><p>Microservices Architecture</p></li></ul>

<ul><li><p>Conduct manual penetration testing of web applications, REST/GraphQL APIs, and WebSockets.</p></li><li><p>Identify vulnerabilities aligned with OWASP Top 10 and OWASP API Security Top 10.</p></li><li><p>Test financial and trading-specific business logic, including transaction manipulation, race conditions, authorization flaws, price manipulation, and session-related vulnerabilities.</p></li><li><p>Perform vulnerability exploitation and validation using Burp Suite and other offensive security tools.</p></li><li><p>Develop custom scripts and techniques to identify vulnerabilities that automated scanners may miss.</p></li><li><p>Assess authentication, authorization, session management, input validation, API security, and transaction flows.</p></li><li><p>Produce detailed penetration testing reports with reproducible steps, risk ratings, business impact, and practical remediation recommendations.</p></li><li><p>Work closely with Development, DevSecOps, and Infrastructure teams to validate vulnerability remediation.</p></li><li><p>Conduct retesting to ensure identified vulnerabilities have been properly resolved.</p></li><li><p>Support continuous improvement of application security testing methodologies and security controls.</p></li><li><p>Ensure security testing activities are conducted with minimal impact on trading systems and business operations.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or a related field.</p></li><li><p>3+ years of hands-on experience in web application and API penetration testing.</p></li><li><p>Strong practical knowledge of web application security and penetration testing methodologies.</p></li><li><p>Advanced hands-on experience with Burp Suite and common offensive security tools.</p></li><li><p>Strong understanding of OWASP Top 10, OWASP API Security Top 10, authentication, authorization, session management, and business logic vulnerabilities.</p></li><li><p>Experience testing REST APIs, GraphQL, WebSockets, and modern web applications.</p></li><li><p>Strong scripting/programming skills in Python, JavaScript, Bash, or similar languages.</p></li><li><p>Understanding of AWS and/or Microsoft Azure environments and cloud-based web service architectures.</p></li><li><p>Ability to independently manage penetration testing engagements from scoping and testing through reporting and remediation validation.</p></li><li><p>Strong analytical, problem-solving, and reporting skills.</p></li></ul>

<ul><li><p>Design, develop, and deploy demand forecasting models using traditional and machine learning techniques like ARIMA, XGBoost, and LSTM.</p></li><li><p>Leverage Generative AI (GenAI) to enhance demand forecasting accuracy by simulating future demand scenarios and improving model predictions.</p></li><li><p>Implement dynamic pricing models using advanced algorithms to optimize pricing strategies based on demand predictions, inventory levels, and competitor data.</p></li><li><p>Analyze customer behavior by applying clustering algorithms and predicting customer lifetime value (CLV) with machine learning models to drive personalized pricing strategies.</p></li><li><p>Monitor, evaluate, and fine-tune model performance using metrics such as MAE, RMSE, and Precision/Recall, continuously improving model accuracy and robustness.</p></li><li><p>Apply MLOps practices, including version control, model deployment pipelines, and automated testing, to ensure seamless integration, monitoring, and scaling of models across environments.</p></li><li><p>Collaborate with cross-functional teams, including marketing, product, and sales, to ensure alignment between forecasting models and business objectives.</p></li><li><p>Deploy and scale forecasting and pricing models on Azure cloud platform, leveraging CI/CD pipelines and model monitoring tools for real-time performance tracking and proactive issue resolution.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Advanced machine learning model development and optimization skills.</p></li><li><p>Expertise in Generative AI techniques for demand forecasting.</p></li><li><p>Proficiency in MLOps practices and model deployment pipelines.</p></li><li><p>Strong communication and collaboration abilities with cross-functional teams.</p></li></ul><p><br><strong>What Qualifies You For The Role:</strong></p><ul><li><p>Master's degree in Statistics, Data Science, Machine Learning, Mathematics, Computer Science, or a related quantitative field.</p></li><li><p>10+ years of experience in data science, with at least 5+ years focused on demand forecasting, price optimization, and customer analytics.</p></li><li><p>Strong hands-on experience with ARIMA, XGBoost, LSTM, and OR models.</p></li><li><p>Proficiency in Python, SQL, Databricks, and cloud platforms (Azure, GCP).</p></li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>· Card Fraud Model Development &amp; Optimization: Design, develop, and optimize card fraud detection models for issuing and acquiring portfolios. Implement advanced statistical, machine learning, and AI techniques to improve fraud detection accuracy and precision and minimizing false positives. · Model Hosting &amp; Deployment: Deploy models using SAS SFD and integrate with production systems. Ensure seamless hosting and scalability of models across multiple environments. · MLOps &amp; Automation: Establish and maintain MLOps pipelines for continuous integration, deployment, and monitoring of fraud models. Automate model retraining and performance tracking processes. · Evaluation &amp; Testing: Conduct rigorous model validation, stress testing, and performance benchmarking. Collaborate with fraud operations teams to ensure models meet business and regulatory requirements. · Collaboration &amp; Stakeholder Management: Partner with fraud risk, data engineers, IT and business teams to deliver end-to-end solutions. Communicate insights and recommendations to senior management and business stakeholders.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Required Skills &amp; Qualifications · Education: Master’s or Ph.D. in Data Science, Statistics, Computer Science, or related field. · Technical Skills: Strong proficiency in SAS (including SAS SFD), Python, and SQL. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines). Deep understanding of card fraud detection techniques and transaction data. · Experience: 7+ years in data science roles, with at least 3 years in card fraud modeling. Proven track record of deploying models in production environments. · Soft Skills: Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Preferred Qualifications · Experience in banking or payments industry. · Familiarity with cloud platforms (AWS, Azure, GCP) for model hosting and deployment. · Knowledge of regulatory compliance in fraud risk management.</p></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li>Design and oversee the implementation of end-to-end technology solutions for complex corporate banking products and services, ensuring alignment with business strategy.</li><li>Lead the technical architecture definition for new digital banking platforms, core banking system integrations, and payment solutions, considering scalability and resilience.</li><li>Collaborate with business stakeholders to translate intricate corporate banking requirements into robust and secure technical designs and roadmaps.</li><li>Evaluate and select appropriate technologies, frameworks, and third-party solutions to meet specific corporate banking needs, managing vendor relationships effectively.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ol><li><p>Bachelor's degree in Computer Science, Engineering, or a related field.</p></li><li><p>10-15 years of experience as a Solution Architect, specialized focus on corporate banking modules, encompassing digital experience, cash management, corporate</p></li></ol><p>payments, financing, trade, and supply chain finance.</p><ol><li><p>Strong knowledge of corporate banking industry standards, regulations, and best practices.</p></li><li><p>Proven experience in designing modern technical platforms and solutions, leveraging aspects like cloud adoption, integration patterns, observability,</p></li></ol><p>scalability, and high availability.</p><ol><li><p>Expertise in agile scrum-based methodologies and familiarity with related tools such as JIRA and Confluence.</p></li><li><p>Hands-on experience with leading cloud platforms such as Amazon Web Services (AWS) or Microsoft Azure.</p></li><li><p>Excellent communication and interpersonal skills, with the ability to effectively collaborate with diverse teams and stakeholders.</p></li><li><p>Possess strong analytical and problem-solving abilities, with a detail-oriented approach to architectural design and integration execution.</p></li><li><p>Track record of prior engagement in software design and development, complemented by proficient knowledge of diverse programming languages and</p></li></ol><p>tools like Java, Python, and REST APIs.</p><ol><li><p>Highly desirable are relevant certifications, such as TOGAF, AWS Certified Solutions Architect, or equivalents.</p></li></ol><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p><strong>Network Automation &amp; Platform Engineering</strong></p><ul><li><p>Lead automation, design and optimization of enterprise network platforms including Cisco Catalyst Center, ACI, SD-Access, ISE and &nbsp;Wireless.</p></li><li><p>Design and implement end-to-end automation workflows for provisioning, configuration management, compliance validation, and lifecycle operations.</p></li><li><p>Develop API-driven integrations between Cisco platforms and enterprise systems (e.g., ServiceNow, Orion etc.).</p></li><li><p>Automate Cisco Catalyst Center workflows include device onboarding, configuration deployment, assurance, and reporting.</p></li><li><p>Automate identity and policy workflows using Cisco ISE APIs (authentication, authorization, segmentation, profiling).</p></li><li><p>Enable policy-driven automation for Cisco SD-Access fabric provisioning and segmentation.</p></li><li><p>Automate ACI operations include EPG/BD/Contract provisioning, policy deployment, and configuration validation.</p></li><li><p>Drive Infrastructure-as-Code (IaC), NetDevOps practices, and automated network lifecycle management.</p></li><li><p>Utilize APIs, scripting, and orchestration tools to improve operational efficiency and reduce manual intervention.</p></li><li><p>Reduce manual operations through standardization, orchestration, and self-service capabilities.</p></li></ul><p><strong>Cisco Enterprise Technologies</strong></p><p>Serve as the design authority for:</p><ul><li><p>Cisco ACI (Data Center Fabric Automation)</p></li><li><p>Cisco Catalyst Center (DNAC) Campus Automation &amp; Assurance</p></li><li><p>Cisco SD-Access Policy Based Campus Fabric</p></li><li><p>Cisco Identity Services Engine (ISE)</p></li><li><p>Cisco Enterprise Wireless Solutions (WLC)</p></li><li><p>Cisco Nexus Data Center Infrastructure</p></li></ul></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p><strong>Required Experience</strong></p><ul><li><p>10+ years of enterprise network engineering and architecture experience.</p></li><li><p>Proven experience deploying and delivering large-scale enterprise environments.</p></li><li><p>Strong hands-on experience with Cisco ACI, SD-Access, Catalyst Center, ISE and Enterprise Wireless.</p></li><li><p>Experience with Cisco Catalyst Center automation, assurance, and API integrations.</p></li><li><p>Experience supporting multinational organizations with geographically distributed offices.</p></li></ul><p><strong>Automation &amp; Development Skills</strong></p><p>Strong experience with:</p><ul><li><p>Python scripting for network automation</p></li><li><p>Terraform or similar automation tools</p></li><li><p>REST APIs integration and automation</p></li><li><p>Infrastructure as Code (IaC) concepts</p></li></ul><p><br></p></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li>Implementation of and compliance with standards and guidelines for the Warehouse Management System and WMS related tools</li><li>Developing and testing EDI/REST API interfaces for customers using data integration platform such as Lobster Data</li><li>Design and configuration of documents and labels using BarTender and Jasper</li><li>Creation and execution of live dashboards using Power BI and SQL Database</li><li>Requirement gathering by conducting IT workshops with customer. Understanding customer’s system and requirements in depth.</li><li>Creation of user requirement specification document.</li><li>Customer facing and project lead regarding interfaces and WMS implementation.</li><li>Provide End User Training on the agreed upon processes in the WMS as a part of each project implementation and prepare end user training guideline documents.</li><li>Change request management.</li><li>Participation in and execution of WMS and EDI projects.</li><li>Act systematically and define priorities to complete tasks according to a timeline and budget with milestones.</li><li>Being able to foresee future challenges and proactively plan solutions.</li><li>Identify improvement projects and be accountable for implementation.</li><li>Must be willing to travel within the region.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Strong experience with data integration platforms, EDI, and REST API development.</p></li><li><p>Expert-level knowledge of WMS, preferably LFS AS400.</p></li><li><p>Skilled in SQL and data visualization using Power BI.</p></li><li><p>Minimum 3 years’ experience in API/EDI/customer integration, ideally in logistics.</p></li><li><p>Experience with programing languages like Python.</p></li><li><p>Experience with MS Power Platform.</p></li><li><p>Bachelor’s degree in computer science, IT, or engineering.</p></li><li><p>Strong interpersonal, communication, and time management skills.</p></li><li><p>R&amp;D mindset with attention to detail and a solution-oriented approach.</p></li><li><p>Ability to manage multiple priorities and adapt to changing deadlines.</p></li><li><p>Be flexible with working hours and travel requirements within the region.</p></li></ul><p></p></section>

<p>About ADGT Advanced Digital Gaming Technology (ADGT) provides gaming payments solutions and gaming hardware to licensed operators in the United Arab Emirates. The Company is regulated by the General Commercial Gaming Regulatory Authority (GCGRA) and operates from Abu Dhabi, supporting the build-out of the UAE's regulated gaming sector. Our solutions span secure payment systems, cashless and cash-handling infrastructure, AML and compliance tooling, credit and marker services, electronic table game peripherals, and customer-facing kiosks. We work directly with GCGRA-licensed operators and integrated resorts to deliver technology that is secure, auditable, and compliant by design. The Software Engineer, C/C++ will take ownership of core payment switching and transaction processing flows across the organisation’s acquiring and issuing platforms. The role requires strong development experience in C/C++, SQL and ISO 8583 messaging standards, with a strong understanding of payment processing architecture and transaction lifecycles. Exposure to acquiring, issuing, card processing and high-volume payment environments is essential. Additional experience with Go or Python would be considered advantageous. The successful candidate will support the development, optimisation and operational stability of mission-critical payment systems within a fintech infrastructure environment.</p><p>Essential Bachelor’s degree in Computer Science or related field. 5-10 years’ experience in software engineering. Strong proficiency in C/C++ development Strong SQL skills Hands-on experience with ISO 8583 messaging standards Understanding of complex payment transaction lifecycles Understanding of payment processing architecture Experience leading technical projects and mentoring teams. Strong problem-solving and architectural design skills. Strong written & verbal communication in English. Personal Attributes Leadership and mentoring capability. Strategic and analytical thinker. Strong stakeholder management skills. Detail-oriented and proactive. Collaborative and solutions-focused.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Advanced Playwright Automation: Design, implement, and maintain high-performance end-to-end (E2E) testing suites using Playwright. This includes handling complex user flows, cross-browser testing, and visual regressions. Full Stack Feature Development: Develop and maintain core application features across the frontend and backend, ensuring every new feature is born with a corresponding Playwright suite. AI-Driven Testing: Pioneer the use of AI code generation to accelerate the creation of Playwright scripts, Page Object Models (POM), and synthetic test data. CI/CD Integration: Integrate Playwright into our automated pipelines (e.g., GitHub Actions, Jenkins) to provide instant feedback on every pull request. Testing Infrastructure: Optimize test execution speed through parallelization and sharding within Playwright to keep developer feedback loops tight. Technical Requirements Testing Core</p></li><li><p>Expert-level Playwright (TypeScript/JavaScript), including Trace Viewer, Codegen, and Playwright Test Runner. Frontend</p></li><li><p>React, Next.js, or Vue; modern CSS/TypeScript. Backend</p></li><li><p>Node.js, Python, or Go; API design and database management. AI Proficiency</p></li><li><p>High level of skill in AI-assisted coding (GitHub Copilot, Cursor) specifically for generating robust test cases and refactoring legacy code. DevOps</p></li><li><p>Docker, Kubernetes, and experience with headless browser environments in the cloud. Playwright-based solutions. Proficient in Arabic</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>8+ years of Full Stack experience with at least 4 years focused on modern automation frameworks. </p><p>A deep understanding of the Playwright ecosystem, including handling asynchronous events, authentication states, and network interception. </p><p>The ability to leverage LLMs to not only write code but to troubleshoot complex test failures and automate repetitive documentation tasks. </p><p>Experience moving teams away from legacy tools (like Selenium) toward modern, faster </p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ol><li><p>Manage end-to-end patch deployment across mission-critical banking applications including core banking, corporate banking, retail banking, and digital platforms</p></li><li><p>Execute accelerated software patch releases ensuring minimal downtime and zero disruption to production systems</p></li><li><p>Design, develop, and execute automated regression testing for validating patches and updates</p></li><li><p>Identify, analyze, and remediate application and API vulnerabilities across enterprise systems</p></li><li><p>Ensure security compliance aligned with OWASP Top 10 and OWASP API Security Top 10</p></li><li><p>Integrate patch validation and security testing into CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps)</p></li><li><p>Collaborate with DevOps, QA, Security, and application teams for safe and controlled production releases</p></li><li><p>Support release management activities including deployment, validation, rollback planning, and post-release monitoring</p></li><li><p>Prepare release documentation including release notes, impact analysis, and risk assessments</p></li><li><p>Monitor production environments post-deployment and ensure rapid issue resolution</p></li><li><p>Ensure adherence to secure SDLC and banking regulatory standards</p></li></ol></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ol><li><p>5–8 years of experience in DevSecOps, QA automation, application security, or software maintenance</p></li><li><p>Strong experience in patch management and enterprise release processes</p></li><li><p>Hands-on experience in CI/CD tools such as Jenkins, GitLab CI, or Azure DevOps</p></li><li><p>Strong understanding of API security testing (REST and SOAP APIs)</p></li><li><p>Experience in automated regression testing frameworks and test automation tools</p></li><li><p>Good knowledge of OWASP Top 10 and OWASP API Security Top 10</p></li><li><p>Experience in vulnerability management and remediation processes</p></li><li><p>Knowledge of scripting languages such as Python, Shell, or PowerShell is preferred</p></li><li><p>Experience in banking or financial services domain is highly preferred</p></li><li><p>Strong analytical, troubleshooting, and production support skills</p></li><li><p>Ability to work in fast-paced, high-risk production environments</p></li></ol><p></p></section>

<ul><li><p><strong>Copilot Studio Enablement:</strong> 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><strong>Model Training & Testing:</strong> Ingest, format, and structure internal data, including policies and 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><strong>Digital Experience Advocacy:</strong> 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><strong>Proof of Concept (PoC) Development:</strong> Rapidly build internal PoCs using existing platforms to validate business requests before full implementation approval.</p></li><li><p><strong>Governance & Best Practice:</strong> Define and share reusable templates, guardrails, and best-practice guidance so that user-built Copilot Studio agents remain secure, compliant, and aligned with organizational standards.</p></li><li><p><strong>Performance Tracking:</strong> 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>5–10 years of overall experience.</p></li><li><p>Bachelor’s degree in Artificial Intelligence, Computer Science, Information Technology, or a related technical field.</p></li><li><p>&nbsp;Strong foundational understanding of Large Language Models (LLMs), prompt engineering, and AI toolsets.</p></li><li><p>Hands-on familiarity with Microsoft Copilot and Microsoft Copilot Studio, including building and configuring agents, topics, actions, and connectors.</p></li><li><p>&nbsp;Excellent communication and presentation skills, with the ability to explain technical concepts to non-technical business users.</p></li><li><p>Basic scripting capability, such as Python or PowerShell, for data formatting and API interactions.</p></li><li><p>&nbsp;High capacity for independent problem-solving and rapid prototyping.</p></li><li><p>&nbsp;Keep up to date with the latest AI tools and model releases and identify opportunities to leverage them internally.</p></li><li><p>High-agility, cloud-first infrastructure requiring rapid adaptation to new AI frameworks and continuous learning.</p></li></ul>

<ul><li>Design, develop, and implement robust and scalable web applications across the entire technology stack, from front-end interfaces to back-end services.</li><li>Write clean, efficient, and well-documented code in multiple programming languages, ensuring adherence to best practices and coding standards.</li><li>Collaborate closely with UI/UX designers to translate wireframes and mockups into functional and visually appealing user interfaces.</li><li>Develop and maintain RESTful APIs and microservices, ensuring seamless data flow and integration between different application components.</li><li>Implement and manage database solutions, including schema design, query optimization, and data integrity checks for both SQL and NoSQL databases.</li><li>Integrate third-party services and APIs, such as payment gateways, social media platforms, and cloud services, to enhance application functionality.</li><li>Write comprehensive unit, integration, and end-to-end tests to ensure code quality, stability, and reliability.</li><li>Deploy applications to cloud platforms (e.g., AWS, Azure, GCP) and manage CI/CD pipelines for automated builds and deployments.</li><li>Troubleshoot and debug complex issues across the full stack, identifying root causes and implementing effective solutions in a timely manner.</li><li>Stay abreast of emerging technologies and industry trends, proactively proposing and implementing innovative solutions to improve application performance and user experience.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.</li><li>Minimum of 3-5 years of professional experience in full-stack web development.</li><li>Proficiency in front-end technologies like HTML, CSS, JavaScript, and modern frameworks (e.g., React, Angular, Vue.js).</li><li>Strong command over back-end languages such as Python, Node.js, Java, or C#.</li><li>Experience with relational databases (e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., MongoDB, Redis).</li><li>Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).</li><li>Understanding of software development methodologies like Agile and Scrum.</li><li>Excellent problem-solving, analytical, and critical-thinking skills.</li><li>Strong communication and collaboration abilities to work effectively in a team environment.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Amazon is a deeply data-driven organization with an unwavering obsession for metrics and continuous improvement. As a Data Analyst, you will play a pivotal role in transforming complex datasets from multiple sources into meaningful, actionable reports that drive business outcomes. You will uncover root-cause insights, identify trends, and deliver data-driven recommendations that directly influence decision-making.<br>Working in close partnership with Learning &amp; Development teams, you will provide analytical expertise to support strategic initiatives, measure program effectiveness, and enable the business to operate with greater precision and impact.<br>Key job responsibilities<br>- Develop and maintain data collection processes and data management systems<br>- Design and execute SQL queries to compile, transform, and generate reports<br>- Create visualizations — charts, graphs, and dashboards (Tableau, QuickSight) — to support business decision-making and dive-deep activities<br>- Build automation solutions using Python to streamline recurring analyses<br>- Prepare and publish reports for business reviews (WBR, QBR, project updates)<br>- Partner with leadership to interpret data trends and provide actionable recommendations<br>- Conduct in-depth research into defect trends to identify root causes and improvement opportunities<br>- Perform data collection, entry, and mining as needed to support operational goals<br>- Translate complex analyses into clear, digestible standard reports<br>- Support Learning team projects with analytical expertise and data-driven insights<br>- Experience with written and verbal communication and presentation<br>- Experience using Microsoft Office (Excel, Word, PowerPoint, Outlook)<br>- Speak, write, and read fluently in English<br>Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.</p><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Nationality"> <b>Nationality</b> </div> <div class="col is-9 p5" data-automation-id="data_Nationality"> United Arab Emirates </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Senior Consultant – Data Analytics &amp; Transaction Monitoring Scenario Tuning Location: Dubai, UAE (Onsite) About the Role We're looking for a Senior Consultant to support a leading UAE bank in assessing, tuning, and enhancing its Transaction Monitoring (TM) scenarios and broader data analytics processes.<br> The focus areas include improving scenario effectiveness, reducing false positives, strengthening typology coverage, remediating open findings, and supporting an upcoming TM system upgrade.<br> Key Responsibilities Assess existing TM scenarios, thresholds, alert volumes, analyst workload, QA findings, STR/SAR conversion rates, and regulatory observations Support remediation of findings raised by Internal Audit, Model Risk Management, regulators, and external reviewers Review and enhance the bank's typology coverage assessment process and identify potential scenario coverage gaps Perform ad hoc scenario parameter and threshold tuning to reduce false positives without compromising risk coverage Conduct pre- and post-tuning analysis, documenting methodology, results, and recommendations Support TM-related data profiling, reconciliation, validation, data quality assessment, and issue remediation Assist with the TM system upgrade — business requirements, data mapping, testing, UAT, regression testing, and post-implementation support Coordinate closely with Compliance, TM Operations, Model Risk Management, Technology, Data Management, and system vendors Required Experience &amp; Skills Minimum 3 years' experience in transaction monitoring, AML analytics, scenario tuning, model validation, or financial crime compliance at UAE banks or similar institutions Strong understanding of AML/CFT, sanctions, proliferation financing, and relevant financial crime typologies (UAE experience preferred) Experience analysing transaction, customer, alert, and scenario performance data Experience supporting audit, regulatory, or model validation remediation Proficiency in SQL, advanced Microsoft Excel, and data visualisation tools such as Power BI or Tableau Knowledge of Python, R, SAS, or similar analytical tools is advantageous Familiarity with SAS transaction monitoring Strong analytical, documentation, stakeholder management, and communication skills</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><ul><li><span>Assessing complex new data sources with a variety of SAP and non-SAP source system and quickly turning these into business insights ready data sets. Develop and support the implementation and integration of these new data sources into our Azure Data platform. <br></span></li><li><span>Perform detailed analysis of structured, semi-structured and unstructured data sources for quality, completeness and business value.<br></span></li><li><span>Required to design, document, develop, implement and test rapid prototypes that demonstrate the value of the data and present them to diverse audiences.<br></span></li><li><span>Required to participate in early state design and feature definition activities.<br></span></li><li><span>Responsible for designing, developing, and implementing robust and scalable data pipelines using the Microsoft Azure data platform and the Azure Databricks ecosystem.<br></span></li><li><span>Responsible for creating reusable and scalable data pipelines<br></span></li><li><span>Act as a team-player while collaborating with team members across multiple engineering teams to support the integration of proven prototypes into core intelligence products.<br></span></li></ul><br><span>Requirements</span><ul><li><span>Advanced working knowledge and experience with relational and non-relational databases <br></span></li><li><span>Experience building and optimizing Big Data pipelines, architectures, and data sets<br></span></li><li><span>Strong analytic skills related to working with unstructured datasets<br></span></li><li><span>Expertise in Azure Data factory, Databricks, EventHub, Python, PySpark ,Azure Synapse and SQL.<br></span></li><li><span>Azure DevOps experience mandatory to deploy the data objects.<br></span></li><li><span>7+ years of experience in the Azure Domain with minimum 5+ years of relevant experience.<br></span></li><li><span>Minimum 3 implementation experience from conceptualization to delivery of analytics capabilities on Azure platform.<br></span></li><li><span>Automotive domain experience is a must.<br></span></li><li><span>Knowledge/Experience with Azure cloud stack.<br></span></li><li><span>Knowledge of SAP IS-Auto, SAP BW/BO, Tableau, PowerBI will be considered as added advantage.<br></span></li><li><span>Certification on Azure platform toolset will be considered as added advantage<br></span></li><li><span>Bachelor’s degree in Computers or allied field of study.<br></span></li></ul><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job description <p>​</p><br><p><b>Discover the Opportunity</b></p><br><p>We are hiring a visionary Principal Manager of Engineering to lead cutting edge squads for an industry leader in artificial intelligence. Our client bridges the gap between advanced research and real world impact by building secure enterprise applications for knowledge workers. As a foundational member of the team you will work in a world class environment with access to the latest tools and technologies.</p><br><p><br><b>Discover the Role</b></p><br><p>In this position you will lead and mentor a highly skilled team of front end back end and machine learning engineers. You will drive the development of solutions leveraging next generation AI and LLM technologies while collaborating directly with customers to deploy these systems onto their tech stacks. This role requires a deep understanding of machine learning along with the ability to manage project timelines and budgets effectively.</p><br><p>​</p><br><p><b>Discover the Responsibilities</b></p><br><ul><li><p>Lead a multidisciplinary team of engineers to deliver complex AI projects.</p><br></li><li><p>Define and implement best practices for AI model development and deployment.</p><br></li><li><p>Contribute to the overarching AI strategy and roadmap for the company.</p><br></li><li><p>Lead technical discussions with customers and translate complex concepts to non technical stakeholders.</p><br></li><li><p>Stay abreast of the latest research and industry trends to foster a culture of innovation.</p><br></li><li><p>Ensure ethical AI development while solving challenges in critical sectors.</p><br></li></ul><p>​</p><br><p><b>Discover the Requirements</b></p><br><ul><li><p>MS or PhD in Computer Science Machine Learning or a related field.</p><br></li><li><p>5 or more years of experience in AI or ML engineering 2 or more years of experience in a leadership role.</p><br></li><li><p>Deep expertise in natural language processing and deep learning.</p><br></li><li><p>Hands on experience with Transformer based models and LLM architectures.</p><br></li><li><p>Strong Python programming skills and familiarity with frameworks like PyTorch or TensorFlow Experience with large scale distributed computing and ML infrastructure.</p><br></li><li><p>A track record of publications or patents in the field is a plus.</p><br></li></ul><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Summary: <br> <p>One of our clients in Abu Dhabi is looking for Senior Software Development Engineer 3</p><br><br> Key Responsibilities: <br> <ul> <li><ul><li>Strong proficiency in at least one backend language: Python, Java, or Node.js, with deep understanding of language internals and performance characteristics</li><li>Proven track record of designing, building, and operating microservices architectures at scale in production</li><li>Design the software and systems in your area of ownership, ensuring they meet their design objectives and align with longer-term business needs</li><li>Handle complex software modules that are logically dense — whether from business, idempotence, robustness, or scalability requirements</li><li>Simplify code and infrastructure, prioritizing tasks that measurably reduce maintenance and migration costs</li><li>Preemptively identify and resolve technical risks before they jeopardize projects; resolve cross-team dependencies early</li><li>Debug and reproduce non-deterministic bugs and system issues that would normally escape less experienced engineers</li><li>Deep experience with cloud platforms (GCP, AWS, or Azure) including architecture decisions, cost optimization, and multi-region deployments</li><li>Expert-level knowledge of containerization (Docker) and orchestration (Kubernetes) in production environments</li><li>Strong experience with CI/CD pipelines, deployment strategies (blue-green, canary), and automated quality gates</li><li>Advanced database skills: query optimization, sharding strategies, replication, and data modeling for high-throughput systems</li><li>Extensive experience with event-driven architectures and message brokers (Kafka, SQS/SNS, Pub/Sub) at scale</li><li>Deep understanding of caching layers (Redis, Memcached, CDN) and their role in system performance and reliability</li></ul></li> </ul> <br> Requirements: <br> <ul> <li><ul><li>Experience leading technical design reviews and architectural decision records (ADRs) for cross-team systems</li><li>Track record of driving large-scale migrations, platform re-architecture, or system decomposition projects</li><li>Hands-on experience with observability at scale: custom metrics, distributed tracing, SLO/SLI frameworks, and incident management</li><li>Experience with infrastructure-as-code (Terraform, Pulumi) and platform engineering practices</li></ul></li> </ul> <br> <br><br> </div>

<ul><li>Architect and implement scalable AI solutions on Azure, leveraging services like Azure Machine Learning, Azure OpenAI, and Azure Databricks.</li><li>Lead the design and development of complex AI models, including LLMs, computer vision, and natural language processing, tailored for specific business needs.</li><li>Drive the integration of AI capabilities into existing enterprise applications and workflows, ensuring seamless deployment and adoption.</li><li>Optimize AI models for performance, cost-efficiency, and reliability within the Azure cloud environment.</li><li>Mentor junior developers and data scientists, fostering a culture of innovation and best practices in AI development.</li><li>Collaborate with product managers and stakeholders to translate business requirements into robust AI solutions.</li><li>Stay abreast of the latest advancements in AI research and Azure AI services, proactively identifying opportunities for innovation.</li><li>Develop and maintain CI/CD pipelines for AI models, ensuring automated testing, deployment, and monitoring.</li><li>Troubleshoot and resolve complex technical issues related to AI model performance and Azure infrastructure.</li><li>Contribute to the development of reusable AI components and frameworks to accelerate future project delivery.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>8+ years of professional software development experience, with at least 3 years focused on AI/ML solutions.</p></li><li><p>Proven expertise in developing and deploying machine learning models using Python and relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn).</p></li><li><p>Hands-on experience with Azure AI services, including Azure Machine Learning, Azure OpenAI, Azure Cognitive Services, and Azure Databricks.</p></li><li><p>Strong understanding of MLOps principles and tools for model lifecycle management.</p></li><li><p>Excellent problem-solving skills and the ability to architect complex, scalable AI systems.</p></li><li><p>Proficiency in cloud-native development practices and containerization technologies (e.g., Docker, Kubernetes).</p></li><li><p>Exceptional communication and collaboration skills, with the ability to explain technical concepts to non-technical audiences.</p></li><li><p>Experience working in a fast-paced, agile development environment.</p></li><li><p>Familiarity with data engineering principles and working with large datasets.</p></li></ul>

<ul><li><p>Take ownership of production issues across our platforms, including extended-hours and on-call coverage on a rotation.</p></li><li><p>Investigate issues across partners, from first symptom toward root cause.</p></li><li><p>Search and analyse production logs, cutting through noise to isolate the relevant events.</p></li><li><p>Resolve within your scope, and escalate to the Support Lead with full evidence when an issue needs a code change, or is unclear.</p></li><li><p>Triage and manage tickets in Jira, keeping issues moving, chasing owners, and keeping stakeholders informed.</p></li><li><p>Write clear bug and change tickets, covering observed behaviour, evidence, suspected root cause, and references, so escalated issues arrive well-documented.</p></li><li><p>Monitor platform and transaction health and flag anomalies (timeouts, retries, duplicate disbursements, velocity-control rejections) before they escalate.</p></li><li><p>Communicate findings clearly to technical and non-technical audiences, without overstating what the evidence supports.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>4+ years prior experience in technical issue resolution in a fast-paced global support team.</p></li><li><p>Strong understanding of APIs and experience using Postman (or equivalent tools) for endpoint inspection and testing.</p></li><li><p>Proficient in SQL for querying and validating data across multiple databases (MariaDB, PostgreSQL, or similar).</p></li><li><p>General familiarity with web applications, microservices, and RESTful architectures.</p></li><li><p>Comfortable working with logs, monitoring tools, and error tracking systems.</p></li><li><p>Analytical mindset and strong troubleshooting skills; able to isolate problems quickly and propose next steps.</p></li><li><p>Excellent communication skills with excellent written and verbal English to collaborate effectively with both Customer Support (non-technical) and Engineering (technical) teams.</p></li><li><p>Programming experience in one or more of the following languages: Java or Python.</p></li><li><p>A structured, evidence-first troubleshooting mindset that verifies across sources before declaring a root cause.</p></li><li><p>Sound escalation judgment; knows what to resolve and what to hand up.</p></li><li><p>Understanding of REST APIs, distributed systems, databases, and developer tools.</p></li><li><p>Familiarity with SQL, Postman, Kibana, Jira, and Confluence.</p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Cntxt.AI, a leading technology company in the staffing and recruiting industry, is seeking a talented Applied Scientist to join our dynamic team.<br> As an Applied Scientist at Cntxt.<br>AI, you will have the opportunity to work on cutting-edge projects that leverage artificial intelligence and machine learning to revolutionize talent acquisition.<br> This role offers a unique blend of research and development, where you will directly impact the future of recruiting by designing and implementing innovative solutions.<br> If you are passionate about utilizing data-driven approaches to solve complex challenges and thrive in a collaborative environment, we invite you to apply and be part of our mission to reshape the staffing industry.<br> Responsibilities Develop and implement machine learning models to enhance candidate matching algorithms.<br> Analyze large datasets to extract valuable insights and drive data-driven decision-making.<br> Collaborate with cross-functional teams to design and deploy scalable solutions for recruitment processes.<br> Conduct research on new techniques and technologies to improve the efficiency of our AI-driven systems.<br> Optimize algorithms for performance and accuracy, continuously iterating and refining models.<br> Contribute to the development of innovative tools and features that advance Cntxt.<br>AI's competitive edge.<br> Participate in technical discussions and present findings to stakeholders in a clear and concise manner.<br> Master's or Ph.<br>D. in Computer Science, Statistics, Mathematics, or a related field.<br> Solid background in machine learning, data mining, and natural language processing.<br> Proficiency in programming languages such as Python, R, or Java.<br> Experience working with data processing frameworks like TensorFlow, PyTorch, or Spark.<br> Strong analytical skills and the ability to translate business requirements into technical solutions.<br> Excellent communication skills with the capacity to collaborate effectively in a team environment.<br> A passion for innovation and a drive to stay current with advancements in AI and ML technology.<br></span> </div>