Python Developer Jobs in UAE

The Story So Far: We’re Building a Global Brand in Real Estate<br><br>Huspy is one of the leading property technology companies in EMEA. Launched in 2020, we now operate in multiple cities across the UAE and Spain, expanding into Saudi Arabia and 3 more European markets by 2026.<br><br>Today, we own the largest portion of the UAE mortgage market and are one of the fastest-growing players in every European city we’ve entered. We’ve raised over $140 million (Series A and Series B) from the world’s top investors, including Sequoia Capital, Founders Fund and Balderton Capital, to reshape the homebuying journey through powerful technology and agent-first tools.<br><br>We’ve built a Super App that empowers real estate agents and mortgage brokers, bringing cutting‑edge technology to one of the world’s most traditional industries. We’re transforming how property transactions happen — faster, smarter, and better for everyone. We’re not slowing down.<br><br>The question is: will you be part of what’s next?<br><br>The Main Event: What You’ll Drive, Build, and Own<br><br>Real Estate Market Modeling: Build models applied to challenges such as valuation/pricing leveraging techniques from classic supervised ML to more advanced approaches. Multimodal Embeddings: Create vector representations of Real Estate entities, such as listings, combining images, text, and structured attributes to power search, matching, deduping, or recommendations. Data Analysis & Experimentation: Use SQL/Python to extract, clean, and analyze data; design experiments and evaluate model-product impact with robust metrics. Model Operationalization: Ship models to production with capabilities such as monitoring, automated rollout, or CI/CD (in partnership with engineering). Cross-functional Delivery: Partner with product, engineering, and operations teams to translate business problems into scalable ML solutions.<br><br>The Perfect Match: What It Takes to Succeed at Huspy<br><br>Proven Experience: 4–8 years in applied data science/ML, delivering models that move real-world KPIs. SQL & Python Mastery: Strong in frameworks such as Pandas/Num Py/Scikit-learn...building reliable data pipelines, model training and evaluation. MLOps Fundamentals: Experience deploying/maintaining models (batch or real-time), versioning, CI/CD basics, observability, and reproducible training. Communication & Ownership: Clear with technical/non-technical stakeholders; can scope, prioritize, and explain tradeoffs. Comfortable with uncertainty, data quality issues, leakage risks, and market dynamics (location, seasonality, inventory shifts). Nice to Have: Software engineering experience; multimodal/vision experience; voice AI (ASR/NLU) exposure. Academic Background: Bachelor’s in STEM (Master’s a plus).<br><br>By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.

Role: AI Engineering Lead (Remote) Location: Remote (Work from Anywhere) Payout: $160k - $300k /yr<br>Role Overview:We are hiring for one of our clients, seeking a Member of Technical Staff (AI Engineering) to work on a full-time basis. This individual will play a critical role in shaping the future of AI recruiting technology by designing, building, and scaling next-generation systems that redefine how companies identify and engage talent. With a focus on AI engineering, this role will collaborate across disciplines to deliver cutting-edge solutions at the center of the AI revolution. Our client is a leading platform that connects domain experts to the development of frontier AI models, leveraging real-world expertise to improve AI performance across various domains.<br>Key Responsibilities:• Architect and develop systems, designing, building, and deploying scalable AI models and infrastructure leveraging Python and AWS.• Advance multimodal AI, developing and integrating advanced large language models (LLMs) and multimodal systems (text, audio, video, and visual inputs) into core platforms.• Collaborate cross-functionally, partnering with product, research, and engineering teams to translate requirements into robust technical solutions.• Contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more.• Work hands-on with the client's pioneering AI recruiter model, Zara, to design and build next-generation systems that are redefining how companies identify and engage talent.<br>Required Skills & Qualifications:• Proven experience in designing, building, and deploying scalable AI models and infrastructure using Python and AWS.• Expertise in developing and integrating advanced LLMs and multimodal systems (text, audio, video, and visual inputs) into core platforms.• Strong collaboration and communication skills, with the ability to partner with cross-functional teams to translate requirements into robust technical solutions.• Experience working with large language models and multimodal AI systems, with a strong understanding of their applications and limitations.• Strong problem-solving skills, with the ability to analyze complex technical problems and develop innovative solutions.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the AI engineering industry, contributing to the development of frontier AI models and influencing the future of AI recruiting technology. With a global network of experts and a platform that has already powered over 1 million AI-led interviews, this role provides a chance to make a meaningful impact on the AI industry and work with a team that is shaping the future of human intelligence.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: AI Engineering Lead (Remote) Location: Remote (Work from Anywhere) Payout: $160k - $300k /yr<br>Role Overview:We are hiring for one of our clients, seeking a Member of Technical Staff (AI Engineering) to work on a full-time basis. This individual will play a critical role in shaping the future of AI recruiting technology by designing, building, and scaling next-generation systems that redefine how companies identify and engage talent. With a focus on AI engineering, this role will collaborate across disciplines to deliver cutting-edge solutions at the center of the AI revolution. Our client is a leading platform that connects domain experts to the development of frontier AI models, leveraging real-world expertise to improve AI performance across various domains.<br>Key Responsibilities:• Architect and develop systems, designing, building, and deploying scalable AI models and infrastructure leveraging Python and AWS.• Advance multimodal AI, developing and integrating advanced large language models (LLMs) and multimodal systems (text, audio, video, and visual inputs) into core platforms.• Collaborate cross-functionally, partnering with product, research, and engineering teams to translate requirements into robust technical solutions.• Contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more.• Work hands-on with the client's pioneering AI recruiter model, Zara, to design and build next-generation systems that are redefining how companies identify and engage talent.<br>Required Skills & Qualifications:• Proven experience in designing, building, and deploying scalable AI models and infrastructure using Python and AWS.• Expertise in developing and integrating advanced LLMs and multimodal systems (text, audio, video, and visual inputs) into core platforms.• Strong collaboration and communication skills, with the ability to partner with cross-functional teams to translate requirements into robust technical solutions.• Experience working with large language models and multimodal AI systems, with a strong understanding of their applications and limitations.• Strong problem-solving skills, with the ability to analyze complex technical problems and develop innovative solutions.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the AI engineering industry, contributing to the development of frontier AI models and influencing the future of AI recruiting technology. With a global network of experts and a platform that has already powered over 1 million AI-led interviews, this role provides a chance to make a meaningful impact on the AI industry and work with a team that is shaping the future of human intelligence.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>Senior Frontend Designer&nbsp;</strong> <strong>Role Overview</strong> <p>We are seeking a highly skilled <strong>Senior Frontend Designer&nbsp;</strong>to design, build, and maintain modern, responsive, and accessible web applications for enterprise and customer-facing digital platforms.</p><br><br> <p>This role combines deep frontend expertise with the ability to contribute to backend services and integrations. You will work closely with UX designers, product owners, backend engineers, and AI/ML teams to deliver intuitive, high-performance user experiences while ensuring scalability, maintainability, and adherence to engineering best practices.</p><br><br> <p>The ideal candidate will have strong experience building production-grade React applications, developing reusable component libraries, integrating APIs, and contributing to Node.js and Python-based backend services.</p><br><br> <strong>Key Responsibilities</strong> <ul> <li>Design, develop, and maintain reusable <strong>React.js component libraries</strong> </li><li>Translate Figma, Adobe XD, and design specifications into responsive, pixel-perfect user interfaces </li><li>Build responsive layouts using modern CSS techniques including <strong>Flexbox, CSS Grid, and mobile-first principles</strong> </li><li>Develop interactive dashboards featuring charts, tables, and real-time data visualizations </li><li>Manage application state using <strong>Redux Toolkit, Zustand, or Context API</strong> </li><li>Integrate and consume RESTful APIs while managing loading, error, and empty states effectively </li><li>Optimize frontend performance through lazy loading, memoization, code splitting, and bundle optimization </li><li>Ensure compliance with <strong>WCAG 2.1 accessibility standards</strong> and cross-browser compatibility requirements </li><li>Develop and execute unit tests using <strong>Jest and React Testing Library</strong> </li><li>Build and maintain backend services and REST APIs using <strong>Node.js (Express/NestJS)</strong> </li><li>Develop Python-based services and APIs using <strong>FastAPI or Flask</strong> </li><li>Collaborate with AI and machine learning teams to integrate model outputs into user-facing applications </li><li>Participate in design reviews and contribute to UI/UX improvements </li><li>Maintain high-quality, well-documented code through Git workflows, code reviews, and pull request processes </li><li>Contribute to Agile delivery processes and sprint planning activities </li></ul> <strong>Required Skills &amp; Qualifications</strong> <strong>Frontend Development</strong> <ul> <li>6+ years of hands-on experience developing production applications using <strong>React.js</strong> </li><li>Strong proficiency in <strong>JavaScript (ES6+) and TypeScript</strong> </li><li>Experience with modern UI frameworks and libraries including <strong>Tailwind CSS, Material UI, or shadcn/ui</strong> </li><li>Strong understanding of responsive design principles and frontend architecture </li><li>Expertise in HTML5, CSS3, semantic markup, and accessibility standards </li><li>Experience integrating REST APIs and implementing asynchronous programming patterns </li><li>Strong experience with state management solutions including Redux Toolkit, Zustand, or Context API </li></ul> <strong>Backend Development</strong> <ul> <li>Experience developing REST APIs using <strong>Node.js, Express, or NestJS</strong> </li><li>Hands-on experience with <strong>Python (FastAPI or Flask)</strong> </li><li>Knowledge of relational and NoSQL databases, including <strong>PostgreSQL and MongoDB</strong> </li><li>Understanding of authentication and authorization frameworks including <strong>JWT and OAuth 2.0</strong> </li></ul> <strong>General Engineering Skills</strong> <ul> <li>Experience using Git, pull request workflows, and code review processes </li><li>Strong understanding of Agile and Scrum methodologies </li><li>Excellent problem-solving, debugging, and analytical skills </li><li>Strong communication and stakeholder collaboration abilities </li></ul> <strong>Preferred Skills &amp; Experience</strong> <ul> <li>Experience with <strong>Next.js</strong> (SSR, SSG, ISR) </li><li>Strong data visualization experience using <strong>Chart.js, Recharts, or D3.js</strong> </li><li>Exposure to <strong>React Native</strong> or cross-platform mobile development </li><li>Experience integrating AI services, LLM APIs, or Azure OpenAI/OpenAI solutions </li><li>Familiarity with <strong>LangChain, LangGraph, or RAG-based architectures</strong> </li><li>Knowledge of banking, fintech, or regulated industry environments </li><li>Experience working with <strong>Azure and/or AWS cloud platforms</strong> </li><li>Exposure to <strong>microfrontend architectures</strong> and Module Federation </li><li>Experience implementing <strong>WebSocket and real-time applications</strong> </li><li>Knowledge of Docker, containerization, and CI/CD pipelines </li></ul> <strong>Halian Group</strong> <p>With over 28 years of experience, we have come to understand that innovation is the only way to provide agile, practical solutions that transform businesses and careers. Our resourcing and smart services help you to realise tomorrow's potential. Discover the amazing things possible when you bring the right people and the right technologies together.</p><br><br> <p>At Halian, we recognise that diversity, equity, and inclusion (DEI) are essential to building high-performing teams for our clients. We are committed to connecting organisations with top talent from all backgrounds, ensuring that every individual feels valued, respected, and empowered to contribute their unique perspectives.</p><br><br> <p>We encourage applications from all qualified candidates, regardless of race, gender, disability, or any other characteristic that makes them unique.</p><br><br> <p><strong>#LI-CC1</strong></p><br><br> <br> <br> <br> &nbsp; <br><br> </div>

Manatal is an HRTech software service (B2B Saa S) company headquartered in Bangkok, Thailand. Manatal is one of the fastest-growing start-ups in the region and is backed by Surge and Sequoia Capital. Manatal has a global presence and is trusted by thousands of businesses in over 135 countries. Our goal is to transform the entire hiring process by making it simple, efficient, and enjoyable for recruiters, hiring managers, and candidates alike. Our mission is to offer the best-in-class AI-powered technologies to empower small, medium, and large businesses in their staffing & recruitment transformation.<br>Role Overview We seek a passionate and experienced Senior Full Stack Engineer to join our dynamic team. The ideal candidate is a seasoned software engineer who excels in building complex software applications across the entire stack, particularly in single-page applications (SPA) or back-office systems. This role focuses on contributing to projects and technical initiatives. We are looking for someone eager to learn, be proactive, energetic, and understand the importance of making an impact. The Senior Full Stack Engineer will be responsible for both frontend and backend development, ensuring seamless integration and high performance of web applications.<br>Responsibilities Implement complex software applications, emphasizing robust and scalable solutions. Collaborate with cross-functional teams to define, design, and ship new features. Ensure code quality and maintainability through code reviews and adherence to design patterns. Address and refactor legacy code, bringing it up to modern standards and practices. Develop and maintain backend services and APIs, ensuring seamless integration with front-end applications. Document technical specifications and system design, facilitating knowledge sharing within the team.<br>Requirements Excellent communication skills and the ability to work well in a team environment.4- 6 years of experience developing web applications in client-side frameworks such as React, Angular, or Vue.js. Excellent understanding of Java Script and Type Script. Experience working on mid/large-sized projects, particularly in single-page applications (SPA) or back-office systems. Strong knowledge of software engineering principles and design patterns. Understanding of backend technologies, including Python, Node.js, Express, or similar frameworks. 4+ years preferred. Experience with RESTful API design and development. Familiarity with database management systems such as Postgre SQL, MySQL, etc. Strong problem-solving skills with the ability to diagnose and debug complex issues. Experience with cloud platforms like AWS, Azure, or Google Cloud Platform.<br>Working with Manatal This role is based at our Bangkok office in the heart of the city center As a team of diverse cultures and nationalities, English language proficiency is required We enjoy collaborating in person and the team is working on-site<br>Why you'll enjoy working with Manatal Well-funded start-up backed by Surge & Sequoia Be part of one of the fastest-growing B2B Saa S start-ups in the region You will be collaborating with talented individuals in the industry Join a lively and highly international team Indulge in a challenging and innovative working culture Attractive medical healthcare plan Personal development allowance2 weeks of work from anywhere per year Regular fun team-building activities Company trip<br>Our Tech Stack Our engineering team leverages a variety of modern technologies. While working with Manatal, you can expect to be exposed to the following stack Infrastructure: Amazon Web Services; Kubernetes; Git Ops (Argo CD), Github Actions Backend: Language: Python; Web Frameworks: Python frameworks including Django, Fast API; Databases: Postgre SQL, Mongo DB, Elastic Search, and Redis among others; Other: Celery, Rabbit MQ among others. Frontend: Javascript & Vue. JS<br>Apply on our Careers Page: If you are a fit for this role and are excited to join Manatal, please follow this link to apply: https://careers.manatal.com/jobs/a41591f7-21c8-4242-a188-09e502fc951e Get to know more about us and our product: www.manatal.com**Watch Manatal's product demo:** https://manatal.wistia.com/medias/vobnq7lvm1<br>Manatal Hiring:At Manatal, we are dedicated to building an intuitive AI-powered applicant tracking system to streamline and transform the entire hiring and recruitment process. We are devoted to attracting the best talent worldwide to join our team and take pride in being an equal-opportunity workplace. We are committed to equal employment opportunities regardless of religion, race, ethnicity, ancestry, national origin, gender, gender identity, sex, sexual orientation, marital or parental status, disability, age, citizenship or other class protected by applicable law.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p>We are currently looking for Manager – IFRS 9 Risk Data &amp; Model Implementation for our UAE operations</p><br><p>Role Purpose:</p><br><p>This role demands a highly technical, data-driven professional with strong expertise in ETL pipeline development, credit risk data management, and IFRS9 model support. The incumbent will lead the design, implementation, and governance of end-to-end risk data pipelines, ensuring alignment with regulatory and modelling requirements.</p><br><p>As part of the ERM – Risk Function, the Risk Data Management team plays a critical role in meeting CBUAE, IFRS9, and Basel II/III requirements. The role is responsible for ensuring availability, accuracy, and traceability of data used in PD, LGD, and EAD models, including default tagging, post-default events, recovery tracking, and exposure computation.</p><br><p>Key Responsibilities:</p><br><p>1. ETL &amp; Risk Data Engineering</p><br><p>• Design, develop and maintain scalable ETL pipelines using SQL, Python, and SAS</p><br><p>• Support datasets for default identification, post-default events, recovery, and exposure</p><br><p>• Implement incremental and full-load strategies ensuring no duplication or leakage</p><br><p>• Optimize SQL for large-scale distributed processing environments</p><br><p>• Integrate data from core banking, collections, GSAM, and external sources</p><br><p>2. IFRS9 &amp; Credit Risk Data Management</p><br><p>• Translating IFRS9 methodology into technical data pipelines</p><br><p>• Support PD, LGD, EAD model data preparation</p><br><p>• Implement staging (Stage 1/2/3), default, and curing logic</p><br><p>• Handle recoveries, write-offs, restructures, and exposure calculations</p><br><p>3. Model Implementation &amp; Validation Support</p><br><p>• Provision model-ready datasets for deployment</p><br><p>• Support feature engineering, segmentation, and backtesting datasets</p><br><p>• Perform reconciliation with developed/reference outputs and identify mismatches</p><br><p>4. Data Quality &amp; Governance</p><br><p>• Develop DQ frameworks covering completeness, accuracy, and consistency</p><br><p>• Perform root cause analysis on data issues</p><br><p>• Ensure full data lineage and traceability</p><br><p>5. Risk Technology &amp; System Integration</p><br><p>• Collaborate with IT for system integration and model deployment</p><br><p>• Support risk system migration and upgrades</p><br><p>• Perform testing for data migration and model accuracy</p><br><p>6. Automation &amp; Reporting</p><br><p>• Automate regulatory and internal reporting processes</p><br><p>• Prepare datasets for dashboards and regulatory submissions</p><br><p>• Support reporting tools such as Power BI and BusinessObjects</p><br><p>Preferred Tools &amp; Technologies:</p><br><p>SQL (Impala, Hive, Oracle), Python, SAS, Cloudera CDP, Power BI, SAP BO</p><br><p>Core Domain Expertise:</p><br><p>IFRS9, Basel II/III, PD/LGD/EAD modelling, credit risk data lifecycle</p><br><p>Terms and conditions</p><br><p>Joining time frame: Immediate</p><br><br><br> </div>

Manatal is an HRTech software service (B2B Saa S) company headquartered in Bangkok, Thailand. Manatal is one of the fastest-growing start-ups in the region and is backed by Surge and Sequoia Capital. Manatal has a global presence and is trusted by thousands of businesses in over 135 countries. Our goal is to transform the entire hiring process by making it simple, efficient, and enjoyable for recruiters, hiring managers, and candidates alike. Our mission is to offer the best-in-class AI-powered technologies to empower small, medium, and large businesses in their staffing & recruitment transformation. Role Overview We seek a passionate and experienced Lead Full Stack Engineer to join our dynamic team. The ideal candidate is a seasoned software engineer who excels in designing and building complex software applications across the entire stack, particularly in single-page applications (SPA) or back-office systems. This role focuses on leading projects and technical initiatives rather than people management. We are looking for someone eager to learn, be proactive, and energetic and understand the importance of making an impact. The Lead Full Stack Engineer will be responsible for both frontend and backend development, ensuring seamless integration and high performance of web applications. Responsibilities Lead technical initiatives and projects, ensuring high-quality delivery. Design and implement complex software applications, emphasizing robust and scalable solutions. Collaborate with cross-functional teams to define, design, and ship new features. Ensure code quality and maintainability through code reviews and adherence to design patterns. Optimize the performance of web applications to ensure fast and efficient user experiences. Mentor junior engineers and promote a culture of continuous learning and improvement. Address and refactor legacy code, bringing it up to modern standards and practices. Drive changes in coding practices and standards to improve code quality and team efficiency. Develop and maintain backend services and APIs, ensuring seamless integration with front-end applications. Requirements Excellent communication skills and the ability to work well in a team environment.4-6 years of experience developing web applications in client-side frameworks such as React, Angular, Vue JS, etc. 5+ years preferred. Excellent understanding of object-oriented Java Script and Type Script. Experience working on mid/large-sized projects, particularly in single-page applications (SPA) or back-office systems. Experience in optimizing the performance of web applications. Strong knowledge of software engineering principles and design patterns. Understanding of backend technologies, including Python or Node.js, Express, or similar frameworks. 5+ years preferred. Experience with RESTful API design and development. Familiarity with database management systems such as Postgre SQL, MySQL, etc. Working with Manatal This role is based at our Bangkok office in the heart of the city center As a team of diverse cultures and nationalities, English language proficiency is required We enjoy collaborating in person and the team is working on-site Why you'll enjoy working with Manatal Well-funded start-up backed by Surge & Sequoia Be part of one of the fastest-growing B2B Saa S start-ups in the region You will be collaborating with talented individuals in the industry Join a lively and highly international team Indulge in a challenging and innovative working culture Attractive medical healthcare plan Personal development allowance2 weeks of work from anywhere per year Regular fun team-building activities Company trip Our Tech Stack Our engineering team leverages a variety of modern technologies. While working with Manatal, you can expect to be exposed to the following stack Infrastructure: Amazon Web Services; Kubernetes; Git Ops (Argo CD), Github Actions Backend: Language: Python; Web Frameworks: Python frameworks including Django, Fast API; Databases: Postgre SQL, Mongo DB, Elastic Search, and Redis among others; Other: Celery, Rabbit MQ among others. Frontend: Javascript & Vue. JSGet to know more about us and our product: www.manatal.comWatch Manatal's product demo: https://manatal.wistia.com/medias/vobnq7lvm1 Interested candidates can apply via this link: https://careers.manatal.com/jobs/bd4a2228-b9b0-4802-858d-eab9518852da Manatal Hiring At Manatal, we are dedicated to building an intuitive AI-powered applicant tracking system to streamline and transform the entire hiring and recruitment process. We are devoted to attracting the best talent worldwide to join our team and take pride in being an equal-opportunity workplace. We are committed to equal employment opportunities regardless of religion, race, ethnicity, ancestry, national origin, gender, gender identity, sex, sexual orientation, marital or parental status, disability, age, citizenship or other class protected by applicable law.

Position: Investment Director Location: Remote (Global) Compensation: Up to USD $260,000 per annum + Monthly performance bonus + Comprehensive benefits<br>About RGG Capital:RGG Capital is a Dubai-headquartered single family office deploying proprietary capital into hedge funds, liquid alternatives, and systematic strategies. We run a focused, research-driven process where analytical depth and independent judgment define how capital is deployed. Small team, direct access to decision-makers, zero bureaucracy.<br>The Role:We are looking for an Investment Director to lead investment research and coordinate the end-to-end investment process. You will work closely with senior leadership to enhance research capabilities, optimize portfolio operations, and drive analytical excellence across the investment division. This is a research-intensive, high-autonomy position for a professional who combines deep market knowledge with operational rigor.<br>Responsibilities:Lead Investment Due Diligence Source, screen, and evaluate investment opportunities across strategies and geographies. Conduct in-depth analysis of performance, investment process, risk metrics, and team capabilities. Maintain regular contact with managers to assess strategy evolution, performance attribution, and organizational stability. Coordinate the Due Diligence Process Collaborate with internal team members to coordinate the full due diligence lifecycle. Maintain trackers and ensure timely completion of regular updates. Synthesize outputs into comprehensive investment memoranda for senior leadership. Conduct Macro Research and Market Analysis Monitor and interpret macroeconomic data, central bank policy, and geopolitical developments to assess implications for markets and asset classes. Identify key trends and develop scenario analyses to inform investment decisions and portfolio positioning. Distill actionable insights and periodic briefs for senior leadership.<br>Required Qualifications:8 to 12 years of professional experience in investment management, whether in investment research, portfolio management, or institutional allocation. Deep understanding of financial markets and complex financial instruments. Advanced degree (Master's or PhD) in Finance, Mathematics, Physics, or a related quantitative field. Programming skills in Python for investment analysis and portfolio management. Exceptional research and written communication skills. Proven ability to coordinate and manage projects in multi-stakeholder investment environments. Proficiency in Bloomberg and industry-standard investment tools.<br>Preferred Qualifications:CFA, CAIA, or equivalent professional certifications. Additional programming skills (R, SQL, etc.). Experience with emerging markets. Proven portfolio management track record.<br>What Is In It For You:Join a High-Performance Organization and Partner with the 1%: ???? Work directly with Forbes Council Member CEO. Your vision is the company's vision. Gain firsthand exposure to strategic decisions and high-velocity execution Embrace Radical Flexibility: Work from anywhere in the world with meaningful time zone overlap. Structure your environment around your best thinking, whether that's a home office or a co-working space. It's your choice!<br>In addition, if you would like to relocate to our Dubai headquarters and work alongside the team in person, we welcome you to do so! We will cover relocation and visa sponsorship in full, and salaries in the UAE carry 0% income tax.<br>The RGG DNA:We're restless, perpetually hungry, and fast-paced, driven by an unwavering belief that rigorous independent judgment beats consensus, regardless of who holds it.<br>Be the Owner: We don't hire employees; we welcome owners. You're accountable for results, not activity. Execute with Urgency: We thrive in high-stakes environments by making thoughtful decisions quickly and acting decisively. Demand Excellence: We solve the hard problems that others can't, pushing the boundaries of our craft. Be AI-First: Daily multi-turn AI conversations challenge your assumptions. Go All-In: When the mission demands it, we rally as one team to cross the finish line.<br>✨ Your Total Compensation & Benefits:???? Compensation: Up to USD $260,000 per annum + Monthly performance bonus + Comprehensive benefits Annual salary review every January???? Health & Protection: Comprehensive medical, dental, and vision insurance (based on country of hire)???? Time Off: Generous Paid Time Off (PTO) + Public holidays???? Work Environment:AI-First organization with access to AI-native tool stack Remote First: Work from the comfort of your home office Learning & development opportunities<br>???? Rewards & Recognition:Eligibility for selection to the Leaders Club, an elite recognition program featuring premium wellness memberships, exclusive networking with senior leadership, and annual leadership retreats Eligibility for nomination as 'We Are' Champion of the Month, monthly recognition with gift vouchers and company-wide celebration for exceptional contributions<br>How to Apply Click "Apply" to submit your application.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><span><strong>Role Overview</strong></span></span><br> <span><span>An experienced Field Test &amp; Integration Engineer is required on a to support the validation and deployment of an autonomous ground robotics platform. This role spans the full validation lifecycle, including systems integration, sensor calibration, parameter tuning, structured field testing, and technical reporting.</span></span><br> <span><span>The position involves close collaboration with cross-functional engineering teams to bring new platform configurations to field-ready status and validate their performance under real-world operating conditions.</span></span><br> <span><span>The ideal candidate combines strong hands-on technical capability with field experience, and is equally comfortable configuring ROS launch files, performing LiDAR-camera calibration, executing test campaigns, and producing structured technical reports.</span></span> <br> <span><span><strong>Key Responsibilities</strong></span></span><br> <span><span><strong>Test Planning &amp; Execution</strong></span></span> <ul> <li><span><span>Design and develop test plans, field campaigns, protocols, and acceptance criteria based on system requirements and operational scenarios</span></span> </li><li><span><span>Execute end-to-end testing of hardware, software, and integrated subsystems in both controlled and real-world environments</span></span> </li><li><span><span>Monitor and capture system performance metrics, including navigation accuracy, localization drift, obstacle avoidance, path tracking, and overall system stability</span></span> </li><li><span><span>Maintain accurate test logs, execution records, and traceability within test management systems</span></span> </li><li><span><span>Ensure all testing activities comply with safety standards and operational protocols</span></span> </li></ul> <br> <span><span><strong>Systems Integration</strong></span></span> <ul> <li><span><span>Support hardware-software integration activities, including subsystem bring-up, sensor integration, and onboard compute configuration</span></span> </li><li><span><span>Validate system interfaces and communication protocols (ROS1/ROS2 topics, services, actions; CAN bus; serial; Ethernet)</span></span> </li><li><span><span>Verify hardware connections, driver functionality, and data pipeline integrity during integration of sensors and actuators</span></span> </li><li><span><span>Execute integration and regression testing following system updates or component changes</span></span> </li><li><span><span>Reproduce, document, and track integration defects with clear logs, system states, and replication steps</span></span> </li></ul> <br> <span><span><strong>Sensor Calibration &amp; System Tuning</strong></span></span> <ul> <li><span><span>Perform intrinsic and extrinsic calibration of sensors including LiDAR, cameras (monocular, stereo, RGB-D), IMU, and GNSS/GPS using standard toolchains</span></span> </li><li><span><span>Validate calibration accuracy through reprojection error analysis and diagnostic evaluation</span></span> </li><li><span><span>Ensure proper time synchronization across all sensors and compute systems for accurate sensor fusion</span></span> </li><li><span><span>Tune navigation and control parameters such as velocity profiles, waypoint tracking gains, costmaps, and recovery behaviors</span></span> </li><li><span><span>Validate SLAM initialization, mapping consistency, loop closure performance, and localization stability across environments</span></span> </li><li><span><span>Maintain detailed calibration records and parameter version control for traceability</span></span> </li></ul> <br> <span><span><strong>Field Operations &amp; Equipment Management</strong></span></span> <ul> <li><span><span>Operate and maintain robotic platforms and supporting equipment in diverse field environments (e.g., desert, outdoor, semi-structured terrain)</span></span> </li><li><span><span>Conduct pre-deployment system checks and diagnose issues before and during operations</span></span> </li><li><span><span>Monitor live telemetry and diagnostics during testing; safely intervene when anomalies arise</span></span> </li><li><span><span>Manage field logistics including site setup, safety controls, equipment transport, and post-test data retrieval</span></span> </li></ul> <br> <span><span><strong>Reporting &amp; Continuous Improvement</strong></span></span> <ul> <li><span><span>Produce structured test reports including objectives, methodologies, results, defect summaries, and engineering recommendations</span></span> </li><li><span><span>Support release readiness assessments through test coverage analysis, defect tracking, and risk evaluation</span></span> </li><li><span><span>Provide actionable feedback to engineering teams based on observed system behavior and failure modes</span></span> </li><li><span><span>Contribute to continuous improvement of validation processes, calibration workflows, and integration practices</span></span> </li></ul> <br> <span><span><strong>Qualifications &amp; Skills</strong></span></span><br> <span><span><strong>Required</strong></span></span> <ul> <li><span><span>Bachelor’s or Master’s degree in Robotics, Mechatronics, Electrical Engineering, Computer Science, or a related field</span></span> </li><li><span><span>8+ years of experience in testing autonomous systems, robotics platforms, or complex integrated hardware/software systems</span></span> </li><li><span><span>Hands-on experience with ROS/ROS2 (topic inspection, launch configuration, bag recording/replay)</span></span> </li><li><span><span>Proven experience in sensor calibration (intrinsic, extrinsic, and temporal)</span></span> </li><li><span><span>Practical experience tuning navigation, perception, or control systems</span></span> </li><li><span><span>Strong understanding of autonomous system architecture (perception, localization, mapping, planning, control)</span></span> </li><li><span><span>Proficiency in Python and Bash for scripting, data analysis, and log processing</span></span> </li><li><span><span>Strong written communication skills with the ability to produce structured technical documentation</span></span> </li><li><span><span>Solid understanding of safety principles and field operation protocols</span></span> </li><li><span><span>Willingness and ability to travel to remote field locations</span></span> </li></ul> <br> <span><span><strong>Preferred</strong></span></span> <ul> <li><span><span>Experience validating SLAM systems (e.g., Cartographer, RTAB-Map, LIO-SAM)</span></span> </li><li><span><span>Familiarity with simulation tools such as Gazebo, Isaac Sim, or Unity</span></span> </li><li><span><span>Experience with test management tools (e.g., Jira, Zephyr, Testmo) and requirements traceability</span></span> </li><li><span><span>Knowledge of CAN bus and embedded communication protocols</span></span> </li><li><span><span>Experience working with outdoor or rugged robotic systems</span></span> </li><li><span><span>Familiarity with functional safety standards (e.g., ISO 26262, IEC 61508)</span></span> </li><li><span><span>Background in verification and validation methodologies or formal release processes</span></span> </li><li><span><span>Prior contract or consulting experience within robotics, industrial, or applied research environments</span></span> </li></ul> <br> &nbsp; <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <u><strong><span><span><span>Finance Data Analytics &amp; Automation Consultant</span></span></span></strong></u> <span><span><span><strong>Assignment type:</strong> Six-month, full-time project assignment</span></span></span> <u><strong><span><span><span>Role Overview</span></span></span></strong></u> <span><span><span>Our client is seeking a hands-on Finance Data Analytics &amp; Automation Consultant for a six-month, full-time Finance transformation assignment.<br> <br> The consultant will partner with the Group Finance Director and Finance team to build a more automated, data-led, AI-enabled reporting environment.<br> <br> The role requires Finance reporting expertise, advanced Excel, Power BI, workflow automation, and practical AI-enabled reporting skills.<br> <br> The aim is to enhance current reporting and establish a scalable, intelligent Finance operating model.<br> <br> <strong>This is not an IT-only, dashboard-only, or advisory-only role; the consultant must convert Finance logic into practical automated outputs.</strong></span></span></span> <u><strong><span><span><span>Assignment Duration and Work Arrangement</span></span></span></strong></u> <ul> <li><span><span><span><strong>Duration:</strong> Initial six-month assignment</span></span></span> </li><li><span><span><span><strong>Capacity:</strong> Full-time, five days per week</span></span></span> </li><li><span><span><span><strong>Location:</strong> Onsite with the Finance team in Dubai - UAE</span></span></span> </li><li><span><span><span><strong>Reporting line:</strong> Group Finance Director</span></span></span> </li></ul> <br> <span><span><span><strong>Any extension will depend on project needs and performance.</strong></span></span></span> <u><strong><span><span><span>Project Context</span></span></span></strong></u> <span><span><span>Finance is shifting toward automated, AI-enabled reporting and decision support to reduce manual effort and produce structured outputs, including:</span></span></span> <ul> <li><span><span><span>Post-close reporting and MIS analysis</span></span></span> </li><li><span><span><span>Structured financial and operational data</span></span></span> </li><li><span><span><span>Power BI dashboards with drill-downs</span></span></span> </li><li><span><span><span>Automated variance, trend analysis, and AI-assisted summaries</span></span></span> </li><li><span><span><span>Faster, more consistent Finance outputs</span></span></span> </li></ul> <br> <span><span><span><strong>The immediate focus is to improve existing models and reporting while developing an automated reporting platform.</strong></span></span></span> <u><strong><span><span><span>Key Responsibilities</span></span></span></strong></u> <strong><span><span><span>Finance Process and Model Review</span></span></span></strong> <ul> <li><span><span><span>Review Finance reporting processes, management packs, and models.</span></span></span> </li><li><span><span><span>Assess trial balance, GL, entity, cost-centre, budget, and reporting outputs.</span></span></span> </li><li><span><span><span>Find opportunities to simplify and automate reporting.</span></span></span> </li><li><span><span><span>Optimize Excel-based Finance models as needed.</span></span></span> </li></ul> <strong><span><span><span>Excel Modelling and Data Extraction</span></span></span></strong> <ul> <li><span><span><span>Work with complex Excel financial models and reporting files.</span></span></span> </li><li><span><span><span>Improve model structure, formulas, links, and efficiency.</span></span></span> </li><li><span><span><span>Convert model outputs into clean datasets for automation, dashboards, and analysis.</span></span></span> </li><li><span><span><span>Support model simplification and documentation.</span></span></span> </li></ul> <strong><span><span><span>Finance Data Automation</span></span></span></strong> <ul> <li><span><span><span>Build structured Finance datasets from trial balance, budget, entity, GL, cost-centre, and other inputs.</span></span></span> </li><li><span><span><span>Use Power Query to automate data cleansing, transformation, refresh, and validation.</span></span></span> </li><li><span><span><span>Build reconciliation checks and move reporting from manual Excel files to automated workflows.</span></span></span> </li></ul> <strong><span><span><span>Power BI and Reporting Development</span></span></span></strong> <ul> <li><span><span><span>Develop Power BI data models and Finance dashboards.</span></span></span> </li><li><span><span><span>Build automated MIS, P&amp;L, Balance Sheet, entity, facility, and consolidated reporting views.</span></span></span> </li><li><span><span><span>Enable drill-downs and create variance, trend, KPI, and executive dashboard views.</span></span></span> </li></ul> <strong><span><span><span>Workflow Automation and AI-Enabled Reporting</span></span></span></strong> <ul> <li><span><span><span>Use Power Automate and related tools for reporting refresh, review, and distribution.</span></span></span> </li><li><span><span><span>Support AI-enabled Finance reporting, commentary, summaries, and exception analysis.</span></span></span> </li><li><span><span><span>Use approved AI tools where relevant, ensuring outputs are reviewable and Finance-approved.</span></span></span> </li></ul> <strong><span><span><span>Documentation and Handover</span></span></span></strong> <ul> <li><span><span><span>Document data flows, model logic, assumptions, and refresh processes.</span></span></span> </li><li><span><span><span>Prepare handover notes, user guidance, training materials, and knowledge transfer.</span></span></span> </li><li><span><span><span>Ensure Finance can maintain the solutions after the assignment.</span></span></span> </li></ul> <u><strong><span><span><span>Required Skills and Experience</span></span></span></strong></u> <span><span><span>The consultant should have hands-on experience in:</span></span></span> <ul> <li><span><span><span><strong>Finance modelling:</strong> Advanced Excel, model optimization, P&amp;L, Balance Sheet, budget versus actuals, variance, trend, trial balance, and GL mapping.</span></span></span> </li><li><span><span><span><strong>Analytics and automation:</strong> Power Query, Power BI, DAX, Power Automate, dashboards, reporting automation, reconciliation, and validation.</span></span></span> </li><li><span><span><span><strong>AI workflows:</strong> AI-assisted reporting or business analysis using Claude, Copilot, ChatGPT, or similar tools.</span></span></span> </li></ul> <u><strong><span><span><span>Ideal Profile</span></span></span></strong></u> <span><span><span>Preferred experience: 6–10 years in Finance analytics, FP&amp;A automation, business modelling, Power BI, Finance transformation, or reporting automation.<br> Relevant backgrounds may include:</span></span></span> <ul> <li><span><span><span>Big 4, consulting, business modelling, or Finance transformation</span></span></span> </li><li><span><span><span>Finance analytics, FP&amp;A automation, or Power BI Finance reporting</span></span></span> </li><li><span><span><span>Excel modelling, BI automation, or corporate FP&amp;A reporting analysis</span></span></span> </li></ul> <span><span><span><strong>The ideal candidate combines Finance knowledge with practical technical delivery</strong>.</span></span></span> <u><strong><span><span><span>Finance Knowledge Required</span></span></span></strong></u> <span><span><span>The consultant should understand:</span></span></span> <ul> <li><span><span><span>Trial balance, chart of accounts, GL mapping, and cost-centre reporting</span></span></span> </li><li><span><span><span>Entity, facility, P&amp;L, Balance Sheet, budgeting, and forecasting structures</span></span></span> </li><li><span><span><span>Management packs, variance analysis, consolidation, and financial model structures</span></span></span> </li></ul> <span><span><span><strong>A pure IT developer, AI engineer, or dashboard designer without Finance knowledge would not be suitable.</strong></span></span></span> <u><strong><span><span><span>Preferred Additional Exposure</span></span></span></strong></u> <span><span><span>Additional useful exposure includes:</span></span></span> <ul> <li><span><span><span>Oracle/ERP reporting, SQL, database fundamentals, or Python automation</span></span></span> </li><li><span><span><span>Multi-entity, financial statement, audit-support, healthcare, services, or multi-site reporting</span></span></span> </li><li><span><span><span>Senior Finance or CFO-level reporting requirements</span></span></span> </li></ul> <u><strong><span><span><span>Candidate Attributes</span></span></span></strong></u> <span><span><span>The consultant should be:</span></span></span> <ul> <li><span><span><span>Hands-on, practical, structured, and solution-oriented</span></span></span> </li><li><span><span><span>Strong in Finance logic, automation, Excel models, and reporting packs</span></span></span> </li><li><span><span><span>Comfortable working with senior Finance stakeholders under tight timelines</span></span></span> </li><li><span><span><span>Able to translate business requirements into automated outputs</span></span></span> </li><li><span><span><span>Disciplined in confidentiality, documentation, handover, and knowledge transfer</span></span></span> </li></ul> &nbsp; <br><br> </div>

<ul><li><p>Design, develop, enhance, and support applications on the <strong>SAS Platform</strong> and <strong>SAS Viya</strong>.&nbsp;</p></li><li><p>Configure, develop, and maintain <strong>SAS Anti-Money Laundering (AML) 7.2 and higher versions</strong>, including transaction monitoring scenarios, alert generation, workflows, and reporting.&nbsp;</p></li><li><p>Develop, optimize, and troubleshoot complex <strong>SQL queries</strong>, ETL processes, and data integration workflows.&nbsp;</p></li><li><p>Build automation scripts and utilities using <strong>Python</strong> to improve operational efficiency and reduce manual effort.&nbsp;</p></li><li><p>Analyze business, regulatory, and compliance requirements and translate them into technical solutions.&nbsp;</p></li><li><p>Perform unit testing, SIT support, defect resolution, production deployments, and post-implementation validation.&nbsp;</p></li><li><p>Collaborate with Compliance, Business, Data Warehouse, Infrastructure, DevOps, and Vendor teams throughout the project lifecycle.&nbsp;</p></li><li><p>Prepare technical documentation, solution designs, deployment guides, and implementation artifacts.&nbsp;</p></li><li><p>Troubleshoot production issues and perform performance tuning, code optimization, and root cause analysis.&nbsp;</p></li><li><p>Support change management, release management, and application governance activities.&nbsp;</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Minimum <strong>5+ years of experience</strong> in software development, implementation, and application support.&nbsp;</p></li><li><p>Strong hands-on experience with <strong>SAS Platform</strong> and <strong>SAS Viya</strong>.&nbsp;</p></li><li><p>Proven experience in <strong>SAS Anti-Money Laundering (AML) Solutions (Version 7.2 and above)</strong>.&nbsp;</p></li><li><p>Strong programming skills in <strong>SAS, SQL, and Python</strong>.&nbsp;</p></li><li><p>Experience with data analysis, ETL development, data migration, and database design.&nbsp;</p></li><li><p>Sound understanding of <strong>AML concepts</strong>, transaction monitoring, sanctions screening, customer risk scoring, and regulatory compliance requirements.&nbsp;</p></li><li><p>Experience in debugging, troubleshooting, and performance optimization.&nbsp;</p></li><li><p>Strong analytical, problem-solving, and communication skills.&nbsp;</p></li><li><p>Ability to work independently and effectively within cross-functional teams.&nbsp;</p></li></ul><p><strong>Preferred Skills</strong>&nbsp;</p><ul><li><p>Experience in the <strong>Banking and Financial Services</strong> domain.&nbsp;</p></li><li><p>Knowledge of <strong>Oracle Database</strong>, performance tuning, and query optimization.&nbsp;</p></li><li><p>Experience with <strong>Linux/Unix</strong> environments.&nbsp;</p></li><li><p>Exposure to <strong>CI/CD pipelines</strong>, Git, and release management processes.&nbsp;</p></li><li><p>Familiarity with Agile delivery methodologies and DevOps practices.&nbsp;</p></li></ul><p><strong>Nice to Have</strong>&nbsp;</p><ul><li><p>Experience in <strong>SAS Model Manager</strong>, <strong>SAS Intelligent Decisioning</strong>, or other SAS Viya components.&nbsp;</p></li><li><p>Exposure to cloud platforms and containerized deployments.&nbsp;</p></li><li><p>Experience supporting audit, compliance, and regulatory initiatives in a banking environment.&nbsp;</p></li></ul><p>This role requires a strong <strong>technical background, excellent communication skills, and the ability to deliver high-quality AML solutions in a fast-paced banking and compliance environment</strong>.&nbsp;</p><p><strong>Skills</strong></p><p>SAS AML experience</p><p>Oracle DB</p><p>Unix/Linux</p>

???? Hiring: Computer Science Teacher | Al Ain, UAE<br>We are currently seeking an experienced and passionate Computer Science Teacher to join a school located in Al Ain, UAE.<br>The successful candidate will be responsible for delivering engaging, learner-centered Computer Science instruction and supporting students in developing strong technical, problem-solving, and digital skills.<br>Key Requirements:Bachelor’s degree in Computer Science or a closely related field Minimum 3 years of relevant teaching experience in a reputable school/institute Master’s degree and/or Teaching Certificate/Diploma is an advantage Strong knowledge in at least three IT areas, preferably including:Programming – Java, Python, Swift and/or C++Web Development – HTML, CSS, Java Script, PHP, MySQLDatabase Design & Management Computer Networking PC Maintenance & Troubleshooting Media Technology Experience with LMS platforms and online teaching tools Strong classroom management, communication, and student engagement skills Excellent command of written and spoken English<br>The role requires someone who can create an engaging learning environment, monitor student progress, use effective assessment strategies, and contribute positively to the wider school community.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are a B2B WealthTech startup based in Abu Dhabi and backed by BNY Mellon (America’s oldest bank and first company to list on NYSE) and Lunate (a new $100B AUM alternative asset management firm based in Abu Dhabi, UAE).<br> The company has raised $300M to build a state of the art wealth technology platform.<br> Our mission is to power and grow our clients’ Wealth franchises through differentiated experiences, financial solutions, and insights.<br> Our digital wealth management platform- will enable banks and other financial institutions in the Middle East to grow and further penetrate affluent, HNW and UHNW investor segments.<br> While still leveraging the capabilities and knowledge of large organizations, our fintech is a startup with truly cross-functional and agile teams.<br> For more information, please visit www.<br>alpheya.com Alpheya is looking for a highly motivated Software Engineer Intern (UAE National) who will be a part of dynamic and extremely skillful AI team.<br> Responsibilities Learn and contribute to software development across our technology stack through hands-on projects and mentored assignments Collaborate with experienced engineers to understand best practices in software development Write clean, documented code while receiving guidance from senior team members Participate in code reviews to learn from feedback and understand quality standards Assist in testing and debugging of applications Document your work and contribute to technical documentation Take part in team meetings and agile ceremonies to understand our development process Current stack: Frontend: Next.<br>js Backend: Node.<br>js (experience layer), Go (system layer), Python (AI) APIs: GraphQL, gRPC Other technologies: PostgreSQL, Kubernetes, Flux, Azure, Github Currently pursuing a degree in Computer Science, Software Engineering, or related technical field Basic programming knowledge in any modern programming language Eagerness to learn and ability to adapt to new technologies Strong problem-solving skills and attention to detail Good communication skills and ability to work in a team environment Interest in software development best practices and coding standards Basic understanding of version control systems (e.<br>g., Git) Nice to have: Familiarity with any of the following: JavaScript/TypeScript, Python, or Go Previous project experience (personal, academic, or professional) Interest in fintech, banking, or wealth management Duration: 6-12 weeks between Mid-September to December Location: ADGM - Abu Dhabi</span> </div>

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

<ul><li><p>The GIS Developer will be responsible for designing, developing, implementing, and supporting Enterprise Geographic Information System (GIS) solutions that enable digital asset management, property management, infrastructure planning, and spatial analytics across DP World business units. The role requires expertise in Esri ArcGIS Enterprise, ArcGIS Pro, Web AppBuilder, Experience Builder, Survey123, Field Maps, ArcGIS Online, Python, .NET, REST APIs, SQL Server, and spatial databases to deliver scalable GIS applications and enterprise integrations. The resource will work closely with business stakeholders to automate spatial workflows, integrate GIS with enterprise applications such as Oracle CX CRM, CAFM, MIMS, SAP, and other corporate systems, enabling real-time visualization, decision-making, and operational excellence. </p></li></ul><br><ol><li><p>Design, develop, and maintain Enterprise GIS solutions using ArcGIS Enterprise, ArcGIS Pro, and Esri development technologies.&nbsp;</p></li><li><p>Develop GIS web applications, dashboards, and mobile applications using Experience Builder, Web AppBuilder, ArcGIS JavaScript API, and Field Maps.&nbsp;</p></li><li><p>Design and implement GIS integrations with Oracle CX CRM, CAFM, MIMS, SAP, and other enterprise applications using REST APIs and middleware.&nbsp;</p></li><li><p>Develop automation scripts using Python, ArcPy, and ModelBuilder to streamline GIS data management and business workflows.&nbsp;</p></li><li><p>Design, manage, and maintain enterprise geodatabases ensuring data integrity, performance, and security.&nbsp;</p></li><li><p>Support GIS migration, upgrades, and platform modernization activities including ArcGIS Enterprise infrastructure.&nbsp;</p></li><li><p>Perform GIS spatial analysis, mapping, reporting, and visualization to support business operations and strategic planning.&nbsp;</p></li><li><p>Support SIT, UAT, production deployments, issue resolution, and application performance optimization.&nbsp;</p></li><li><p>Collaborate with business users, vendors, and IT teams to gather requirements, provide technical recommendations, and implement GIS solutions.&nbsp;</p></li><li><p>Participate in Agile/Scrum activities, prepare technical documentation, provide effort estimates, and contribute to continuous improvement initiatives.&nbsp;</p></li></ol><p><strong>Desired Candidate Profile</strong></p><ul><li>Possesses a Bachelor's or Master's degree in GIS, Computer Science, or a related field, providing a strong foundation in geospatial principles.</li><li>Holds relevant certifications such as ESRI certifications (e.g., ArcGIS Desktop Professional), demonstrating expertise in industry-standard software.</li><li>Demonstrates 3-5 years of hands-on experience in GIS development, showcasing practical skills and project experience.</li><li>Exhibits a strong understanding of relational databases and SQL, enabling efficient data management and manipulation.</li></ul>

<p>Nair Systems is currently looking for Manager - Model Implementation, Data Engineering and IFRS9 Risk Data for our UAE operations</p><p>Role Purpose:</p><p>This role demands a highly technical, data-driven professional with strong expertise in ETL pipeline development, credit risk data management, and IFRS9 model support. The incumbent will lead the design, implementation, and governance of end-to-end risk data pipelines, ensuring alignment with regulatory and modelling requirements.</p><p>As part of the ERM – Risk Function, the Risk Data Management team plays a critical role in meeting CBUAE, IFRS9, and Basel II/III requirements. The role is responsible for ensuring availability, accuracy, and traceability of data used in PD, LGD, and EAD models, including default tagging, post-default events, recovery tracking, and exposure computation.</p><p>Core Domain Expertise:</p><p>IFRS9, Basel II/III, PD/LGD/EAD modelling, credit risk data lifecycle</p><p>Preferred Tools & Technologies:</p><p>SQL (Impala, Hive, Oracle), Python, SAS, Cloudera CDP, Power BI, SAP BO</p><p>Key Responsibilities:</p><ol><li><p>ETL & Risk Data Engineering</p></li></ol><ul><li><p>Design, develop and maintain scalable ETL pipelines using SQL, Python, and SAS</p></li><li><p>Support datasets for default identification, post-default events, recovery, and exposure</p></li><li><p>Implement incremental and full-load strategies ensuring no duplication or leakage</p></li><li><p>Optimize SQL for large-scale distributed processing environments</p></li><li><p>Integrate data from core banking, collections, GSAM, and external sources</p></li></ul><ol><li><p>IFRS9 & Credit Risk Data Management</p></li></ol><ul><li><p>Translating IFRS9 methodology into technical data pipelines</p></li><li><p>Support PD, LGD, EAD model data preparation</p></li><li><p>Implement staging (Stage 1/2/3), default, and curing logic</p></li><li><p>Handle recoveries, write-offs, restructures, and exposure calculations</p></li></ul><ol><li><p>Model Implementation & Validation Support</p></li></ol><ul><li><p>Provision model-ready datasets for deployment</p></li><li><p>Support feature engineering, segmentation, and backtesting datasets</p></li><li><p>Perform reconciliation with developed/reference outputs and identify mismatches</p></li></ul><ol><li><p>Data Quality & Governance</p></li></ol><ul><li><p>Develop DQ frameworks covering completeness, accuracy, and consistency</p></li><li><p>Perform root cause analysis on data issues</p></li><li><p>Ensure full data lineage and traceability</p></li></ul><ol><li><p>Risk Technology & System Integration</p></li></ol><ul><li><p>Collaborate with IT for system integration and model deployment</p></li><li><p>Support risk system migration and upgrades</p></li><li><p>Perform testing for data migration and model accuracy</p></li></ul><ol><li><p>Automation & Reporting</p></li></ol><ul><li><p>Automate regulatory and internal reporting processes</p></li><li><p>Prepare datasets for dashboards and regulatory submissions</p></li><li><p>Support reporting tools such as Power BI and BusinessObjects</p></li></ul><p><strong>Desired Candidate Profile</strong></p><p>Banking domain experience is mandatory</p>

Roles Responsibilities<br><br> Design and implement statistical studies, surveys, and experiments Collect, clean, validate, and analyze large datasets Apply statistical methods (regression, hypothesis testing, forecasting, etc.) Build and evaluate statistical models to support decision-making Interpret and summarize results for stakeholders Create reports, dashboards, and visualizations Collaborate with cross-functional teams to define data requirements Ensure compliance with data governance and ethical standards Document methodologies and maintain reproducible analyses Stay current with statistical techniques and industry best practices<br><br>Requirements Skills<br><br> Bachelors or Masters degree in Statistics, Mathematics, Economics, or a related field Proven experience as a Statistician or in a quantitative analysis role Strong knowledge of statistical theory and methods Proficiency in statistical software and programming (R, Python, SAS, SPSS, SQL) Experience with data visualization tools (Tableau, Power BI, matplotlib, etc.) Excellent analytical, problem-solving, and critical-thinking skills Strong written and verbal communication abilities Attention to detail and commitment to data accuracy<br><br>This job is provided by Shine.com