Python Developer Jobs in UAE

About Us:<br><br>Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.<br><br>DV Commodities is a division within DV Group that specializes in trading commodities markets, including crude oil, refined products, natural gas, power, emissions, metals, softs, and agriculture. DV Commodities risk management, world-class technology, and talented traders have enabled it to become one of the world's largest liquidity providers and risk allocators in the energy and commodities spaces. Learn more here.<br><br>Responsibilities:<br><br>Primary owner of P&L in one or multiple areas of energy business Build and maintain fundamental and quantitative trading models Work with risk to ensure compliance with agreed upon risk management metrics and sizing Liase side by side with senior energy traders to share best practices / learnings where applicable Learn proprietary methodologies and trading systems that support an established trading business Grow existing trades and P&L while identifying and pursue new opportunities Further responsibilities may be driven by the individual's interests and specific skills<br><br>Requirements:<br><br>Energy trading experience required Self-starter with entrepreneurial spirit Able to learn quickly in a fast paced, high pressure environment Targeted ISO experience and knowledge of fundamental grid Detail oriented, organized, diligent Maintain composure and communicate clearly when under pressure Ability to succeed working as part of a diversified team Strong understanding of math, probability, and statistics High level of proficiency in Excel and VBA; SQL, python, statistical modeling, other programming a plus Advanced aptitude for problem solving and multitasking Proven track record with historical P&L preferred<br><br>DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV's posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

Company Description Harmonic AI is an emotionally intelligent, AI-powered virtual workforce built specifically for property management in the Middle East, with a focus on the UAE and Saudi Arabia. The platform automates routine administrative tasks so property and facilities teams can prioritize strategic initiatives and higher-value tenant interactions. Harmonic AI’s Agents combine 30+ years of regional real estate expertise with built-in empathy to handle day-to-day tenant needs efficiently. The solution offers flexible control through proprietary trust scales, ensuring a human remains in the loop for critical decisions. Designed to be user-friendly, Harmonic AI requires no technical background to operate and helps organizations keep pace with fast-moving regional property markets.<br>Role Description In this full-time, remote AI Engineer role, you will design, develop, and deploy AI models that power Harmonic AI’s emotionally intelligent Agents for property management workflows. You will work on end-to-end model development, including data preprocessing, feature engineering, training, evaluation, and optimization of neural networks and NLP systems. You will collaborate closely with product, engineering, and domain experts to translate property management use cases into scalable AI solutions and refine them based on user feedback and performance metrics. Day-to-day responsibilities include building and integrating APIs, improving pattern recognition pipelines, implementing monitoring and observability for models in production, and ensuring reliability, security, and compliance in deployed systems. You will also contribute to technical documentation, participate in code reviews, and help drive best practices for responsible and transparent AI across the organization.<br>Qualifications Strong foundation in Computer Science concepts, including data structures, algorithms, and software design principles. Hands-on experience with Software Development, including building, testing, and deploying production-grade services or APIs. Practical expertise in Neural Networks and Pattern Recognition, with experience training, tuning, and evaluating machine learning models. Experience with Natural Language Processing (NLP), including text classification, dialogue systems, or conversational AI. Proficiency in one or more modern programming languages used in AI/ML (such as Python), and familiarity with common ML frameworks (e.g., PyTorch, Tensor Flow). Experience working with cloud platforms and MLOps practices (CI/CD for models, monitoring, model versioning) is preferred. Bachelor’s or higher degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience. Ability to work effectively in a remote, cross-functional team, with clear communication and a focus on documentation and collaboration. Experience in real estate, property management, or Middle East markets (UAE/KSA) is a plus, as is exposure to designing human-in-the-loop AI systems.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong><span>About Us</span></strong><br>Minimalist.ae<span> is a local brand founded in 2016 in Dubai that designs and manufactures elegant, high-quality watches, jewelry, handbags, perfumes, and leather goods designed to enhance personal style. With four stores now open in the UAE, we focus on simple yet sophisticated designs, with specifically our Arabic numeral watches being known for their timeless appeal. Minimalist believes in simplicity and uses only the finest materials to produce beautiful and durable items, combining elegant design with excellent quality.<br></span></p><br><p><strong><span>The Role:</span></strong></p><br><p><span>As a </span><strong><span>Full Stack Developer</span></strong><span>, you will be responsible for developing, maintaining, and enhancing both our eCommerce website, HRIS platform and other systems. You will work closely with business stakeholders, designers, and operational teams to build scalable solutions that improve customer experience, streamline internal processes, and support the company’s growth.</span></p><br><p><strong><span>Responsibilities:</span></strong></p><br><ul><li><p><span>Design, develop, test, and maintain web applications for the company’s eCommerce website and HRIS platform.</span></p><br></li><li><p><span>Build and enhance front-end user interfaces that deliver seamless and responsive user experiences.</span></p><br></li><li><p><span>Develop and maintain back-end services, APIs, and database structures to support business operations.</span></p><br></li><li><p><span>Collaborate with stakeholders to gather requirements and translate business needs into technical solutions.</span></p><br></li><li><p><span>Optimize website performance, security, scalability, and reliability.</span></p><br></li><li><p><span>Troubleshoot, debug, and resolve technical issues across multiple systems and environments.</span></p><br></li><li><p><span>Integrate third-party applications, payment gateways, and external services where required.</span></p><br></li><li><p><span>Develop new HRIS features and modules to support employee lifecycle processes, reporting, attendance, leave management, and other HR functions.</span></p><br></li><li><p><span>Ensure data integrity, system security, and compliance with company policies and best practices.</span></p><br></li><li><p><span>Participate in code reviews and maintain high standards of code quality and documentation.</span></p><br></li><li><p><span>Monitor system performance and proactively identify opportunities for improvement and automation.</span></p><br></li><li><p><span>Stay up to date with emerging technologies, development frameworks, and industry best practices.</span></p><br></li></ul><br><ul><li><p><span>3–5 years of experience as a Full Stack Developer or in a similar software development role.</span></p><br></li><li><p><span>Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field.</span></p><br></li><li><p><span>Strong proficiency in front-end technologies such as HTML, CSS, JavaScript, and modern frameworks (React, </span><span>Vue.js</span><span>, Angular, or similar).</span></p><br></li><li><p><span>Strong experience with back-end development using </span><span>Node.js</span><span>, PHP, Python, .NET, or similar technologies.</span></p><br></li><li><p><span>Experience working with relational databases such as MySQL, PostgreSQL, or SQL Server.</span></p><br></li><li><p><span>Familiarity with RESTful APIs, system integrations, and web services.</span></p><br></li><li><p><span>Experience with version control systems such as Git.</span></p><br></li><li><p><span>Understanding of cloud platforms, hosting environments, and deployment processes.</span></p><br></li><li><p><span>Experience working on ERP, HRIS, CRM, or business management systems is highly desirable.</span></p><br></li><li><p><span>Excellent communication and collaboration skills.</span></p><br></li></ul><ul><li><p><strong><span>What we offer</span></strong></p><br><ul><li><p><span>Competitive salary with performance-based incentives;</span></p><br></li><li><p><span>UAE visa and permits;</span></p><br></li><li><p><span>Health insurance;</span></p><br></li><li><p><span>Annual flight ticket allowances</span></p><br></li><li><p><span>Growth and long-term development opportunities;</span></p><br></li><li><p><span>Long-term perspective in a rapidly expanding, future-oriented organization;</span></p><br></li><li><p><span>An engaging and challenging work environment with a motivated &amp; professional team of specialists.</span></p><br></li></ul></li></ul> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Senior Manager - Artificial Intelligence</p><br> <br><br><br><p><span><b>THIS IS WHERE INCREDIBLE GROWTH BEGINS</b></span></p><br><br><p><span><b>Technology &amp; Infrastructure&nbsp;</b></span></p><br><br><p><span><b>Senior Manager – Artificial Intelligence</b></span></p><br><br><p><span>The team is doubling the size of our business. At the same time, they’re keeping maintenance costs down and driving asset capability up. With full responsibility for assets from creation to disposal, their watchword is reliability. Better still, they make sure we don’t just do what we legally need to do, but go further. So, we’ll embrace your fresh ideas to improve our use of energy and environmental resources. It’s all about meaningful change.</span></p><br><br><p><span><b>What you'll deliver</b></span></p><br><br><p><span>·</span><span>You’ll design, develop, and deploy cutting-edge AI solutions to solve complex business challenges and drive innovation across the organization.</span></p><br><br><p><span>·</span><span>You’ll establish and operationalize AI assurance frameworks, ensuring all AI initiatives meet standards for ethics, risk, compliance, and enterprise governance.&nbsp;</span></p><br><br><p><span>·</span><span>You’ll ensure AI models are robust, scalable, secure, and production-ready, with strong lifecycle management, documentation, and traceability</span></p><br><br><p><span>·</span><span>You’ll define standards for model validation, testing, and continuous monitoring, ensuring performance, accuracy, fairness, and explainability</span></p><br><br><p><span>·</span><span>You’ll collaborate with data scientists, engineers, product teams, and stakeholders to deliver AI-driven products and services.</span></p><br><br><p><span>·</span><span>You’ll support enterprise AI strategy, advising on advanced AI, automation, and emerging technologies, while aligning with operational and commercial goals.&nbsp;</span></p><br><br><p><span>·</span><span>You’ll engage with senior stakeholders and governance bodies, providing insights on AI risk, ethics, and assurance outcomes.&nbsp;</span></p><br><br><p><span>·</span><span>You’ll work with Legal, Risk, Cybersecurity, and Compliance teams to ensure integrated and defensible AI decision-making.&nbsp;</span></p><br><br><p><span>·</span><span>You’ll act as a thought leader, providing guidance, mentorship, and training on AI governance and best practices across the organization.&nbsp;</span></p><br><br><p><span><b>What you bring</b></span></p><br><br><p><span>·</span><span>You’ll have a Bachelor’s degree or higher in computer science, Engineering or related field with atleast 7-10 years of relevant experience in&nbsp;</span><span>in AI, machine learning, or data science.&nbsp;</span></p><br><br><p><span>·</span><span>You’ll have proven experience developing and deploying AI models using tools such as TensorFlow, PyTorch, or similar frameworks.&nbsp;</span></p><br><br><p><span>·</span><span>You’ll have strong programming capability (e.g., Python, Java, C++) and deep understanding of ML techniques and algorithms</span></p><br><br><p><span>·</span><span>You’ll have strong understanding of Responsible AI, governance, and risk frameworks as well as excellent stakeholder management and communication skills, with the ability to translate complex concepts into business impact.&nbsp;</span></p><br><br><p><span><b>Life at Dubai Airports</b></span></p><br><br><p><span>Fast-moving and fast-growing, Dubai Airports is a business that’s all about delivering great airport experiences, 24 hours a day. Life here means always pushing – and being pushed – to work better and smarter. With us, you’ll be encouraged to be the best you can be. You’ll be part of the team that connects the world. And at every opportunity, you’ll go beyond; delivering an advanced, innovative future for yourself and our business, and making an impact that delivers for Dubai.</span></p><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>About Us</strong></p><br><p>Tamara is the leading fintech platform in Saudi Arabia and the wider GCC region with a mission to help people make their dreams come true by building the most customer-centric financial super-app on earth. The company serves millions of users in the region and partners with leading global and regional brands such as SHEIN, Jarir, noon, IKEA and Amazon, as well as small and medium businesses.</p><br><p>Tamara is Saudi Arabia’s first fintech unicorn and is backed by Sanabil Investments, a wholly owned company by the Public Investment Fund (PIF), SNB Capital, Checkout.com, amongst others. The company operates from its headquarters in Riyadh, with additional regional and global support offices.</p><br><p>We are seeking a highly analytical and technically proficient <strong>Credit Risk Data Analyst</strong> to support our Portfolio Oversight team. In this role, you will be responsible for managing the health and performance of the credit portfolio. You will not only build the 'Single Source of Truth' for risk data but also translate complex datasets into actionable strategies for underwriting, limit management, and loss forecasting.</p><br><p>&amp;nbsp;</p><br><strong>Key Responsibilities</strong><ul><li>Develop Portfolio Monitoring reports for internal and external communications</li><li>Design and optimize data-driven credit strategies, including underwriting criteria, credit limit assignments, risk-based pricing &amp;amp; merchant risk strategy</li><li>Conduct deep-dive analysis on risk exposure versus profitability to identify opportunities for product expansion or de-risking.</li><li>Develop and track Early Warning Indicators to detect abnormal risk trends and shifts in macroeconomic conditions</li><li>Conduct rigorous A/B testing to verify hypotheses and evaluate the impact of strategy changes on portfolio profitability and delinquency</li><li>Assess business operations &amp;amp; market trends to enhance competitive positioning</li><li>Build and optimize automated data pipelines to enhance the efficiency and scalability of risk monitoring</li><li>Perform continuous system analysis to identify data inconsistencies and drive initiatives that elevate data governance standards</li><li>Partner with Cross-functional teams (Data Science, Data, Finance, Product, Technology teams) to ensure credit risk data is correctly accounted in reporting</li></ul><p>&amp;nbsp;</p><br><strong>Requirements</strong><ul><li>Bachelor’s or Master’s degree in a quantitative field (Statistics, Data Science, Math, Quantitative Finance, or Related fields).</li><li>3+ years of post qualification experience handling analytics and/or credit risk.</li><li>Strong analytical skills &amp;amp; experience in data management</li><li>Prior Experience in Retail/SME Banking, Fintech, or Credit Ratings is a plus</li><li>Familiarity with the end-to-end credit life cycle, including anti-fraud, collections, merchant health and post-loan management</li><li>Proficiency in SQL, Excel (Advanced/VBA), PPT, Tableau &amp;amp; Python(optional)</li></ul><ul><li>Exceptional attention to detail with the ability to identify data anomalies quickly.</li><li>Effective communication skills to present technical insights to non-technical business partners</li><li>Ability to navigate ambiguity, develop testable hypothesis &amp;amp; drive actionable insights</li></ul> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><br><ol><li><p>Key Responsibilities</p></li></ol><p>2.1 Database Administration</p><ul><li><p>Install, configure, patch, upgrade, and administer Oracle (including Multitenant, RAC, Data Guard, ASM), MS SQL (Always-on), MongoDB, PostgreSQL and MySQL (InnoDB Cluster &amp; ClusterSet) database environments in production, staging, and development.</p></li><li><p>Design and implement high-availability (HA) and disaster recovery (DR) architectures including Oracle RAC, Oracle Data Guard, GoldenGate replication, MS SQL (Always-on) , PostgreSQL replication, MongoDB replica sets / sharded clusters and MySQL InnoDB Cluster.</p></li><li><p>Perform logical and physical backup and recovery operations using RMAN, Data Pump, mongodump/mongorestore, mysqldump, and pg_dump, and validate recovery procedures on a regular schedule.</p></li><li><p>Conduct performance tuning and troubleshooting at all levels including SQL/query optimization, indexing strategies, storage I/O, memory, network, and OS-level diagnostics.</p></li><li><p>Plan and execute large-scale database upgrades, migrations, and cross-platform conversions with minimal downtime.</p></li><li><p>Implement and enforce database security: user management, role-based access control, auditing, TDE encryption, data masking, and compliance with organizational and regulatory standards.</p></li><li><p>Develop and maintain automation scripts (Shell, Python, PL/SQL) for routine database operations, monitoring, and housekeeping tasks.</p></li></ul><p>2.2 Middleware Administration</p><ul><li><p>Install, configure, and administer Oracle WebLogic Server including domain creation, managed servers, clustering, load balancing, and JVM tuning.</p></li><li><p>Administer Oracle SOA Suite and Oracle Service Bus (OSB) including composite deployment, troubleshooting, dehydration store management, and integration support.</p></li><li><p>Manage Oracle Business Intelligence Enterprise Edition (OBIEE) 12c and Oracle Analytics Server (OAS): installation, configuration, RPD deployment, security, and performance optimization.</p></li><li><p>Install, configure, and support Oracle Data Integrator (ODI) for ETL workloads, including agent management, repository administration, and scenario execution.</p></li><li><p>Deploy and manage Oracle Forms &amp; Reports and other Java-based applications on WebLogic.</p></li><li><p>Apply patches, security updates, and CPU/PSU bundles to all middleware components in line with vendor recommendations and change-management processes.</p></li><li><p>Install, configure, and administer Apache products (Kafka, Spark, Tomcat) including clustering, load balancing, and JVM tuning.</p></li></ul><p>2.3 Operating System &amp; Infrastructure</p><ul><li><p>Strong working knowledge of Linux/Unix (Oracle Linux, RHEL, CentOS) and Windows Server environments hosting database and middleware workloads.</p></li><li><p>Proficiency in bash and PowerShell scripting for automation, monitoring, log analysis, and routine maintenance.</p></li><li><p>Solid understanding of storage (NFS, ASM, SAN), networking, kernel parameters, file systems, and OS-level security hardening concepts.</p></li><li><p>Familiarity with capacity planning, server provisioning, and OS-level upgrades, with the ability to coordinate effectively with infrastructure and virtualization teams.</p></li><li><p>Hands-on experience working with containerized environments, including Docker (and exposure to Kubernetes / OpenShift is a plus) for deploying, running, and managing database and middleware workloads.</p></li></ul><p>2.4 Monitoring, Operations &amp; Support</p><ul><li><p>Implement and maintain proactive monitoring frameworks using Oracle Enterprise Manager (OEM Cloud Control), Grafana, Prometheus, or equivalent tools.</p></li><li><p>Respond to production incidents, perform root-cause analysis (RCA), and deliver post-incident reports with corrective and preventive actions.</p></li><li><p>Serve as the primary technical contact for database and middleware vendors, coordinating SLAs, escalations, support tickets, and product renewals.</p></li><li><p>Maintain detailed technical documentation, runbooks, architecture diagrams, and standard operating procedures (SOPs).</p></li><li><p>Provide 24/7 on-call support on a rotational basis for critical production systems.</p></li><li><p>Collaborate with application, security, DevOps, and infrastructure teams to align database and middleware operations with organizational standards and regulatory requirements.</p></li></ul><br><br></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><br></p><ol><li><p>Required Qualifications &amp; Experience</p></li></ol><p>3.1 Education</p><ul><li><p>Bachelor’s degree in computer science, Computer Information Systems, Information Technology, or a related discipline.</p></li></ul><p>3.2 Experience</p><ul><li><p>Minimum 5+ years of hands-on experience as a Database Administrator, Middleware Administrator, or in a combined DBA/Middleware role within an enterprise environment.</p></li><li><p>Proven experience administering Oracle Database (12c/19c/21c) in production, including RAC, Data Guard, GoldenGate, and Multitenant architectures.</p></li><li><p>Demonstrable experience with MongoDB, MySQL, and PostgreSQL in HA / clustered configurations.</p></li><li><p>Proven experience administering Oracle Fusion Middleware components: WebLogic, SOA Suite, OSB, OBIEE / OAS, and ODI.</p></li><li><p>Solid experience operating in Linux/Unix and Windows Server environments.</p></li><li><p>Experience supporting mission-critical, 24/7 production systems, ideally within government, telecom, banking, or large enterprise sectors.</p></li></ul><p>3.3 Technical Skills</p><ul><li><p>Databases: Oracle 12c/19c/21c, MongoDB, MySQL 8.0, PostgreSQL, MS SQL Server (a plus), Redis (a plus).</p></li><li><p>HA / DR: Oracle RAC, Data Guard, GoldenGate, ASM, MySQL InnoDB Cluster / ClusterSet, MongoDB Replica Sets &amp; Sharding.</p></li><li><p>Middleware: Oracle WebLogic 12c/14c, SOA Suite, OSB, OBIEE 12c, OAS, ODI, Forms &amp; Reports.</p></li><li><p>Tools: Oracle Enterprise Manager (OEM), TOAD, SQL Developer, RMAN, Data Pump, Compass, MongoDB Atlas.</p></li><li><p>Operating Systems: Oracle Linux, RHEL, CentOS, Ubuntu, Windows Server.</p></li><li><p>Scripting: Shell / Bash, PL/SQL, Python, PowerShell.</p></li><li><p>Backup &amp; Recovery: RMAN, Data Pump, mongodump, mysqldump, pg_dump, third-party backup solutions.</p></li><li><p>Containerization: Docker (required); Kubernetes / OpenShift (a plus).</p></li></ul><p>3.4 Preferred Certifications</p><ul><li><p>Oracle Database Administrator Certified Professional (OCP) – 19c or higher.</p></li><li><p>Oracle WebLogic Server Administrator Certified Associate / Professional.</p></li><li><p>Oracle MySQL Database Administrator Certified Professional.</p></li><li><p>MongoDB Certified DBA Associate.</p></li><li><p>Oracle Autonomous Database Cloud Specialist (a plus).</p></li><li><p>Professional Scrum Master (PSM I) or equivalent Agile certification (a plus).</p></li></ul><p>3.5 Soft Skills &amp; Competencies</p><ul><li><p>Strong analytical and problem-solving skills with attention to detail.</p></li><li><p>Excellent verbal and written communication skills in English (Arabic is a plus).</p></li><li><p>Ability to work independently as well as collaboratively in cross-functional teams.</p></li><li><p>Strong ownership mindset, proactive attitude, and ability to manage multiple priorities under pressure.</p></li><li><p>Customer-focused approach with experience working directly with internal and external stakeholders.</p></li><li><p>Commitment to continuous learning and staying current with emerging database and middleware technologies.</p></li></ul><p></p></section>

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get to know our team: <br><br>The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda has deep experience in data science, product, strategy, and other marketing fields and has built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world.<br><br>Due to continued expansion, there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples:<br><br>Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Trip Advisor, Trivago, and other search engines. Adapt to new product features and roll out changes from successful tests. Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (e.g. understanding the impact on bookings from large-scale TV campaigns or demand elasticity from pricing optimization), and liaise with product teams on an implementation roadmap Reporting, analysis, and insights: Building dashboards to track performance, derive insights, understand growth levers, and communicate recommendations via presentations to stakeholders<br><br>What you’ll Need to Succeed: <br><br>Bachelor’s degree or higher from top university in a quantitative subject e.g. computer science, mathematics, engineering business, science, or relevant field of study4+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business role for a fast-growing global tech company Experience in one or more data analysis packages or databases, e.g. SQL, SAS, R, SPSS, Python, VBA and visualization tools, e.g. Tableau, Power BI, etc. Excellent verbal and written communication skills in English Ability to move fast and be efficient, making decisions on objective data evidence Innate desire to take ownership, make an impact and influence outcomes Excellent organizational skills, attention to detail and ability to work independently<br><br>It’s great if you have: <br><br>Experience in digital marketing or e-commerce Experience with A/B testing and other testing metrics Strong presentation and negotiation skills<br><br>#STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get to know our team: <br><br>The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda has deep experience in data science, product, strategy, and other marketing fields and has built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world.<br><br>Due to continued expansion, there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples:<br><br>Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Trip Advisor, Trivago, and other search engines. Adapt to new product features and roll out changes from successful tests. Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (e.g. understanding the impact on bookings from large-scale TV campaigns or demand elasticity from pricing optimization), and liaise with product teams on an implementation roadmap Reporting, analysis, and insights: Building dashboards to track performance, derive insights, understand growth levers, and communicate recommendations via presentations to stakeholders<br><br>What you’ll Need to Succeed: <br><br>Bachelor’s degree or higher from top university in a quantitative subject e.g. computer science, mathematics, engineering business, science, or relevant field of study4+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business role for a fast-growing global tech company Experience in one or more data analysis packages or databases, e.g. SQL, SAS, R, SPSS, Python, VBA and visualization tools, e.g. Tableau, Power BI, etc. Excellent verbal and written communication skills in English Ability to move fast and be efficient, making decisions on objective data evidence Innate desire to take ownership, make an impact and influence outcomes Excellent organizational skills, attention to detail and ability to work independently<br><br>It’s great if you have: <br><br>Experience in digital marketing or e-commerce Experience with A/B testing and other testing metrics Strong presentation and negotiation skills<br><br>#STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br>Job Description<br><p><strong>We are&nbsp;</strong>currently looking for<strong> &nbsp;AI Solutions Engineer for (Offshore/Onsite) our UAE operations</strong> with the following terms &amp; conditions.</p><br><p><strong>Qualifications:</strong></p><br><p>Education: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related field.</p><br><p><strong>Experience:</strong></p><br><ul><li>Good years of experience in AI, machine learning, and solution architecture, with a proven track record of designing and deploying AI solutions.</li><li>Hands-on experience with AI tools and platforms and cloud services like Microsoft Azure.</li><li>Strong background in machine learning algorithms, deep learning, data processing, and systems integration. Ability to drive architecture governance, code quality, and technical standards.</li><li>Proven experience delivering AI and digital transformation solutions within financial services, banking, fintech, regulatory authorities, or highly regulated environments, with a strong understanding of compliance, governance, risk management, and regulatory requirements.</li></ul><p><strong>Technical Skills:</strong></p><br><ul><li>Proficient in programming languages such as Python, Java, or C++.</li><li>Familiarity with data pipeline tools and frameworks</li><li>Experience with cloud infrastructure, containerization (Docker, Kubernetes), and DevOps practices.</li><li>Solid understanding of data architecture, data science, security, and privacy considerations in AI systems.</li><li>Design AI solutions integrated with enterprise platforms (Salesforce CRM, datalakes, CMS, APIs). Hands-on experience with frameworks like Hugging Face, LangChain, Foundry, OpenAI APIs etc.</li><li>Demonstrated experience in designing, developing, and deploying Agentic AI solutions, including autonomous AI agents, multi-agent systems, AI orchestration frameworks, and agent-based workflow automation using platforms such as Azure AI Foundry, Agentforce, etc</li></ul><p><br> <strong>Soft Skills:</strong></p><br><ul><li>Strong analytical and problem-solving skills.</li><li>Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.</li><li>Leadership experience and the ability to work effectively in cross-functional teams.</li><li>Detail-oriented and focused on delivering high-quality, scalable solutions.</li></ul><p><strong>Data &amp; Integration:</strong></p><br><ul><li>Familiarity with data engineering tools, data lakehouses (Fabric), and ETL pipelines.</li><li>Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware.</li></ul><p><strong>Experience:</strong><strong>6 to 8 Years</strong></p><br><p><strong>Preferred Qualifications:</strong></p><br><p>Experience with advanced AI techniques such as reinforcement learning, natural language processing, or computer vision.<br> Knowledge of AI ethics and bias mitigation strategies.</p><br><p><strong>Terms and conditions</strong></p><br><p><strong>Joining time frame:</strong> Immediate</p><br><br>Additional Information<br><p><strong><u>Terms and conditions:</u></strong>&nbsp;</p><br><p><strong>Joining time frame:</strong>&nbsp;&nbsp; <strong>maximum 4 weeks</strong></p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br>Job Description<br><p><strong>We are&nbsp;</strong>currently looking for<strong> &nbsp;AI Solutions Engineer for (Offshore/Onsite) our UAE operations</strong> with the following terms &amp; conditions.</p><br><p><strong>Qualifications:</strong></p><br><p>Education: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related field.</p><br><p><strong>Experience:</strong></p><br><ul><li>Good years of experience in AI, machine learning, and solution architecture, with a proven track record of designing and deploying AI solutions.</li><li>Hands-on experience with AI tools and platforms and cloud services like Microsoft Azure.</li><li>Strong background in machine learning algorithms, deep learning, data processing, and systems integration. Ability to drive architecture governance, code quality, and technical standards.</li><li>Proven experience delivering AI and digital transformation solutions within financial services, banking, fintech, regulatory authorities, or highly regulated environments, with a strong understanding of compliance, governance, risk management, and regulatory requirements.</li></ul><p><strong>Technical Skills:</strong></p><br><ul><li>Proficient in programming languages such as Python, Java, or C++.</li><li>Familiarity with data pipeline tools and frameworks</li><li>Experience with cloud infrastructure, containerization (Docker, Kubernetes), and DevOps practices.</li><li>Solid understanding of data architecture, data science, security, and privacy considerations in AI systems.</li><li>Design AI solutions integrated with enterprise platforms (Salesforce CRM, datalakes, CMS, APIs). Hands-on experience with frameworks like Hugging Face, LangChain, Foundry, OpenAI APIs etc.</li><li>Demonstrated experience in designing, developing, and deploying Agentic AI solutions, including autonomous AI agents, multi-agent systems, AI orchestration frameworks, and agent-based workflow automation using platforms such as Azure AI Foundry, Agentforce, etc</li></ul><p><br> <strong>Soft Skills:</strong></p><br><ul><li>Strong analytical and problem-solving skills.</li><li>Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.</li><li>Leadership experience and the ability to work effectively in cross-functional teams.</li><li>Detail-oriented and focused on delivering high-quality, scalable solutions.</li></ul><p><strong>Data &amp; Integration:</strong></p><br><ul><li>Familiarity with data engineering tools, data lakehouses (Fabric), and ETL pipelines.</li><li>Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware.</li></ul><p><strong>Experience:</strong><strong>6 to 8 Years</strong></p><br><p><strong>Preferred Qualifications:</strong></p><br><p>Experience with advanced AI techniques such as reinforcement learning, natural language processing, or computer vision.<br> Knowledge of AI ethics and bias mitigation strategies.</p><br><p><strong>Terms and conditions</strong></p><br><p><strong>Joining time frame:</strong> Immediate</p><br><br>Additional Information<br><p><strong><u>Terms and conditions:</u></strong>&nbsp;</p><br><p><strong>Joining time frame:</strong>&nbsp;&nbsp; <strong>maximum 4 weeks</strong></p><br><br><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’re partnering with a leading financial services organisation in Abu Dhabi that is continuing to invest heavily in its Data &amp;amp; AI capabilities.</p><br><p>They’re looking for an experienced Data Engineer to build the scalable data infrastructure and pipelines that underpin advanced AI and machine learning solutions across the</p><br><p>business.</p><br><p>This is a hands-on engineering role where you’ll work closely with AI, ML and software engineering teams, ensuring they have access to reliable, high-quality data at scale.</p><br><p>​</p><br><p><b>Discover the Responsibilities</b></p><br><ul><li><p>Design, build and optimise scalable ETL/ELT pipelines to ingest, process and transform structured and unstructured data.</p><br></li><li><p>Develop reliable data infrastructure capable of supporting large-scale AI, machine learning and analytics workloads.</p><br></li><li><p>Continuously test, monitor and optimise data pipelines to improve performance, reliability and data integrity.</p><br></li><li><p>Work closely with AI/ML and software engineering teams to make high-quality data easily accessible for downstream applications.</p><br></li><li><p>Implement strong data quality, validation, governance and security practices across the data lifecycle.</p><br></li><li><p>Maintain clear documentation around data architecture, lineage and metadata.</p><br></li></ul><p><b>Discover the Requirements</b></p><br><ul><li><p> 5+ years of experience in Data Engineering, ETL development, data warehousing ors imilar positions.</p><br></li><li><p>Strong hands-on experience designing and managing ETL/ELT workflows using technologies such as Airflow, dbt, Luigi or similar.</p><br></li><li><p>Excellent Python and SQL skills, alongside experience with Scala, Java or another relevant programming language.</p><br></li><li><p>Experience working with big data architectures and optimising large-scale data pipelines.</p><br></li><li><p>Hands-on experience with cloud data environments across Azure, AWS or GCP.</p><br></li><li><p>Experience processing and managing large-scale structured and unstructured datasets.</p><br></li><li><p>Strong understanding of data quality, governance, monitoring and engineering best practices.</p><br></li><li><p>Excellent problem-solving skills with the ability to diagnose performance and data issues.</p><br></li><li><p>Bachelor’s degree in Computer Science, Engineering or a related technical discipline.</p><br></li></ul><p><b>Why Join?</b></p><br><ul><li><p>Work on large-scale Data &amp;amp; AI initiatives within a highly ambitious technology environment</p><br></li><li><p>Build the data foundations behind production AI and machine learning solutions</p><br></li><li><p>Work alongside experienced Data, AI, ML and Software Engineers</p><br></li><li><p>Take ownership of technically challenging data engineering problems with genuine business impact</p><br></li></ul><br> </div>

<p><strong>Position Overview </strong>We are looking for a <strong>senior IT leader with strong hands-on technical expertise across SAP/ERP, IT infrastructure, networking, cloud, systems integration, programming and automation.</strong></p><p><br></p><p><strong>Key Responsibilities</strong><br><br></p><p><strong>1. IT Leadership & Strategy</strong><br></p><ul><li><p>Lead and manage the overall IT function, infrastructure and IT team.</p></li><li><p>Develop and execute the Group’s IT strategy in alignment with business objectives.</p></li></ul><p><br></p><p><strong>2. Hardware & IT Infrastructure</strong><br></p><ul><li><p>Manage and maintain IT hardware, workstations, peripherals, printers, storage and related infrastructure.</p></li><li><p>Troubleshoot hardware, operating systems and infrastructure-related issues.</p></li></ul><p><br></p><p><strong>3. Networking & IT Security</strong><br></p><ul><li><p>Manage and troubleshoot corporate LAN/WAN infrastructure.</p></li><li><p>Strong working knowledge equivalent to CCNA-level networking.<br></p></li></ul><p><strong>4. Server & Cloud Administration</strong></p><p><br></p><ul><li><p>Administer and troubleshoot physical and virtual servers.</p></li><li><p>Manage Windows/Linux server environments and related services.</p></li></ul><p><br><br></p><p><strong>5. SAP Implementation & Support</strong><br></p><ul><li><p>Lead and support<strong> </strong>SAP Business One / SAP ERP implementation, configuration, customisation and ongoing support.</p></li></ul><ul><li><p>Understand business processes and translate operational requirements into SAP solutions.</p></li></ul><p><br></p><p><strong>6. SAP Intercompany & Systems Integration</strong><br></p><ul><li><p>Design, implement and support intercompany processes and integrations within SAP.</p></li><li><p>Integrate SAP with other Group companies, systems and business applications.</p></li></ul><p><br></p><p><strong>7. AI, Automation & Digital Transformation</strong><br></p><ul><li><p>Identify practical opportunities to introduce AI and automation into SAP and other business processes.</p></li><li><p>Develop or implement automation for reporting, workflows, data processing, integrations and repetitive operational activities.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><p>The successful candidate should demonstrate strong hands-on experience across <strong>most or all of the following areas</strong>:<br></p><ul><li><p>SAP Business One / SAP ERP</p></li><li><p>SAP implementation and technical support</p></li><li><p>SAP customisation and configuration</p></li><li><p>SAP Service Layer</p></li><li><p>SAP DI API</p></li><li><p>SAP B1if / integration frameworks</p></li><li><p>Intercompany SAP integration</p></li><li><p>APIs and systems integration</p></li><li><p>SQL and databases</p></li><li><p>Python / C# / Java / .NET or comparable programming</p></li><li><p>Hardware and IT infrastructure</p></li><li><p>Servers and virtualisation</p></li><li><p>Cloud administration</p></li><li><p>LAN/WAN and network architecture</p></li><li><p>Routers, switches, VLANs and VPNs</p></li><li><p>Firewalls and network security</p></li><li><p>Backup and disaster recovery</p></li><li><p>Cybersecurity and endpoint management</p></li><li><p>IT automation</p></li><li><p>AI implementation / AI-enabled business process automation</p></li></ul><br><p><strong>Candidates whose experience is primarily limited to IT team management, vendor coordination, project management or managing external SAP consultants will not be suitable unless they can demonstrate substantial hands-on technical experience.</strong> Experience should clearly demonstrate that the candidate has personally implemented, configured, developed, integrated, troubleshot and supported SAP and IT systems, rather than simply overseeing these activities.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><span><span>We're recruiting a </span></span><span><span><span><span>Data Analyst&nbsp;</span></span></span></span><span><span>for one of our clients, a globally recognized e-commerce organization.</span></span><br><br><b><span>About Our Client:</span></b><br><br><br><br><br><br><span>Our client is a globally recognized e-commerce organization known for its innovative approach and customer-centric operations. With a strong presence across international markets, the company offers a dynamic and fast-paced work environment focused on technology-driven solutions. It plays a key role in redefining how products are accessed, purchased, and delivered, and continues to lead the industry in supply chain excellence, digital transformation, and operational efficiency.</span><br><br><b><span>Key Responsibilities:</span></b><br><br></span><ul><li><span><span><span>Accurately input, maintain, and update data across multiple systems and platforms, including QuickSight dashboards, SharePoint, and Excel trackers</span></span></span></li><li><span><span><span>Own and maintain compliance data reporting, including Page 0 regional data and GOLD Mine dashboard metrics</span></span></span></li><li><span><span><span>Conduct regular data audits to identify and resolve discrepancies between systems</span></span></span></li><li><span><span><span>Analyze datasets to identify trends, patterns, and actionable insights for stakeholders</span></span></span></li><li><span><span><span>Prepare clear reports, dashboards, and visualizations, and define and monitor KPIs aligned with team objectives</span></span></span></li><li><span><span><span>Support evidence-based decision-making through timely and accurate reporting</span></span></span></li><li><span><span><span>Manage end-to-end participant enrollment and tracking for leadership development programs, such as SLII, LEW, AD1, and Accelerate, using systems such as iCIMS</span></span></span></li><li><span><span><span>Effectively utilize and manage data tools and platforms, including Excel, SharePoint, QuickSight, iCIMS, or equivalent systems</span></span></span></li><li><span><span><span>Support the development and optimization of data workflows and operational processes</span></span><br></span></li></ul><br><span>Requirements</span><ul><li><span><span>Degree or diploma in Business Administration, Data Science, Human Resources, Information Technology, or a related field<br></span></span></li><li><span><span>Proven experience in data entry, data management, and reporting<br></span></span></li><li><span><span>Advanced proficiency in Microsoft Excel and/or Google Sheets<br></span></span></li><li><span><span>Experience managing program enrollments, scheduling, or event coordination<br></span></span></li><li><span><span>Strong analytical and critical-thinking skills, with excellent attention to detail<br></span></span></li><li><span><span>Excellent organizational skills, with the ability to manage multiple priorities simultaneously<br></span></span></li><li><span><span>Strong verbal and written communication skills</span></span><br></li></ul><b><span>Desirable:</span></b><br><br><ul><li><span><span><span>Experience with data visualization tools such as QuickSight, Power BI, or Tableau</span></span></span></li><li><span><span><span>Knowledge of HRIS or learning management systems such as iCIMS or Cornerstone</span></span></span></li><li><span><span><span>Experience with process automation or workflow optimization using tools such as VBA, Python, or SQL</span></span></span></li><li><span><span><span>Prior experience in corporate Learning &amp; Development (L&amp;D), HR, or operations environment</span></span></span></li><li><span><span><span>Familiarity with SharePoint and cloud-based collaboration tools<br></span></span></span></li></ul><br><span>Benefits</span><ul><li><span><span>Competitive Salary </span></span></li><li><span><span>Employee Benefits as per the UAE Labor Law</span></span></li></ul><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br>Job Description<br><p><strong>We are&nbsp;</strong>currently looking for<strong> &nbsp;AI Solutions Engineer for (Offshore/Onsite) our UAE operations</strong> with the following terms &amp; conditions.</p><br><p><strong>Qualifications:</strong></p><br><p>Education: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related field.</p><br><p><strong>Experience:</strong></p><br><ul><li>Good years of experience in AI, machine learning, and solution architecture, with a proven track record of designing and deploying AI solutions.</li><li>Hands-on experience with AI tools and platforms and cloud services like Microsoft Azure.</li><li>Strong background in machine learning algorithms, deep learning, data processing, and systems integration. Ability to drive architecture governance, code quality, and technical standards.</li><li>Proven experience delivering AI and digital transformation solutions within financial services, banking, fintech, regulatory authorities, or highly regulated environments, with a strong understanding of compliance, governance, risk management, and regulatory requirements.</li></ul><p><strong>Technical Skills:</strong></p><br><ul><li>Proficient in programming languages such as Python, Java, or C++.</li><li>Familiarity with data pipeline tools and frameworks</li><li>Experience with cloud infrastructure, containerization (Docker, Kubernetes), and DevOps practices.</li><li>Solid understanding of data architecture, data science, security, and privacy considerations in AI systems.</li><li>Design AI solutions integrated with enterprise platforms (Salesforce CRM, datalakes, CMS, APIs). Hands-on experience with frameworks like Hugging Face, LangChain, Foundry, OpenAI APIs etc.</li><li>Demonstrated experience in designing, developing, and deploying Agentic AI solutions, including autonomous AI agents, multi-agent systems, AI orchestration frameworks, and agent-based workflow automation using platforms such as Azure AI Foundry, Agentforce, etc</li></ul><p><br> <strong>Soft Skills:</strong></p><br><ul><li>Strong analytical and problem-solving skills.</li><li>Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.</li><li>Leadership experience and the ability to work effectively in cross-functional teams.</li><li>Detail-oriented and focused on delivering high-quality, scalable solutions.</li></ul><p><strong>Data &amp; Integration:</strong></p><br><ul><li>Familiarity with data engineering tools, data lakehouses (Fabric), and ETL pipelines.</li><li>Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware.</li></ul><p><strong>Experience:</strong><strong>6 to 8 Years</strong></p><br><p><strong>Preferred Qualifications:</strong></p><br><p>Experience with advanced AI techniques such as reinforcement learning, natural language processing, or computer vision.<br> Knowledge of AI ethics and bias mitigation strategies.</p><br><p><strong>Terms and conditions</strong></p><br><p><strong>Joining time frame:</strong> Immediate</p><br><br>Additional Information<br><p><strong><u>Terms and conditions:</u></strong>&nbsp;</p><br><p><strong>Joining time frame:</strong>&nbsp;&nbsp; <strong>maximum 4 weeks</strong></p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br>Job Description<br><p>We are currently looking for AI Solutions Engineer for (Offshore/Onsite) our UAE operations with the following terms &amp; conditions.</p><br><p>Qualifications:</p><br><p>Education: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related field.</p><br><p>Experience:</p><br><p>• Good years of experience in AI, machine learning, and solution architecture, with a proven track record of designing and deploying AI solutions.</p><br><p>• Hands-on experience with AI tools and platforms and cloud services like Microsoft Azure.</p><br><p>• Strong background in machine learning algorithms, deep learning, data processing, and systems integration. Ability to drive architecture governance, code quality, and technical standards.</p><br><p>• Proven experience delivering AI and digital transformation solutions within financial services, banking, fintech, regulatory authorities, or highly regulated environments, with a strong understanding of compliance, governance, risk management, and regulatory requirements.</p><br><p>Technical Skills:</p><br><p>• Proficient in programming languages such as Python, Java, or C++.</p><br><p>• Familiarity with data pipeline tools and frameworks</p><br><p>• Experience with cloud infrastructure, containerization (Docker, Kubernetes), and DevOps practices.</p><br><p>• Solid understanding of data architecture, data science, security, and privacy considerations in AI systems.</p><br><p>• Design AI solutions integrated with enterprise platforms (Salesforce CRM, datalakes, CMS, APIs). Hands-on experience with frameworks like Hugging Face, LangChain, Foundry, OpenAI APIs etc.</p><br><p>• Demonstrated experience in designing, developing, and deploying Agentic AI solutions, including autonomous AI agents, multi-agent systems, AI orchestration frameworks, and agent-based workflow automation using platforms such as Azure AI Foundry, Agentforce, etc</p><br><p>Soft Skills:</p><br><p>• Strong analytical and problem-solving skills.</p><br><p>• Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.</p><br><p>• Leadership experience and the ability to work effectively in cross-functional teams.</p><br><p>• Detail-oriented and focused on delivering high-quality, scalable solutions.</p><br><p>Data &amp; Integration:</p><br><p>• Familiarity with data engineering tools, data lakehouses (Fabric), and ETL pipelines.</p><br><p>• Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware.</p><br><p>Experience: 6 to 8 Years</p><br><p>Preferred Qualifications:</p><br><p>Experience with advanced AI techniques such as reinforcement learning, natural language processing, or computer vision.</p><br><p>Knowledge of AI ethics and bias mitigation strategies.</p><br><p>Terms and conditions</p><br><p>Joining time frame: Immediate</p><br><br>Additional Information<br><p><strong><u>Terms and conditions:</u></strong>&nbsp;</p><br><p><strong>Joining time frame:</strong>&nbsp;&nbsp; <strong>maximum 4 weeks</strong></p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for a highly skilled L2 Oracle KVM Virtualization Engineer with strong hands-on experience in Oracle Linux KVM and libvirt within enterprise production environments.<br> The role will be responsible for managing KVM hypervisors, virtual machines, HA configurations, live migration, storage and network integration, performance optimization, patching, backup/DR, and production incident management .<br> The ideal candidate should have strong troubleshooting skills and experience supporting mission-critical infrastructure in 24x7 production and DR environments .<br> Key Responsibilities Install, configure, administer, and maintain Oracle Linux KVM hypervisors .<br> Manage the complete VM lifecycle , including provisioning, configuration, migration, and decommissioning.<br> Configure and support High Availability (HA) and live migration .<br> Manage storage integration with KVM hosts, including iSCSI, NFS, SAN, and FC .<br> Configure and troubleshoot virtual networking, including VLANs, bridges, and bonding .<br> Monitor virtualization platform health, performance, capacity, and availability.<br> Perform CPU, memory, and disk I/O performance tuning .<br> Apply hypervisor patches, Linux kernel updates, and security hardening.<br> Manage VM backup and restore activities in coordination with backup teams.<br> Support DR environments and VM replication strategies.<br> Troubleshoot host failures, VM crashes, resource contention, and virtualization performance issues.<br> Perform Root Cause Analysis (RCA) for production incidents.<br> Support infrastructure upgrades, migrations, and technology refresh activities.<br> Coordinate with Linux/OS, Storage, Network, Backup, and Cloud teams .<br> Maintain technical documentation and operational procedures.<br> Follow ITIL-based Incident, Problem, and Change Management processes.<br> Provide L2 support within a 24x7 managed services environment 8–12 years of experience in virtualization and Linux administration.<br> Strong hands-on experience with Oracle Linux KVM .<br> Strong knowledge of KVM and libvirt .<br> Experience managing enterprise production virtualization environments .<br> Hands-on experience with HA and live migration .<br> Strong knowledge of Oracle Linux / RHEL .<br> Experience supporting Production and DR environments .<br> Strong understanding of virtualization architecture and resource allocation.<br> Hands-on experience with: iSCSI NFS SAN Fibre Channel (FC) Strong understanding of virtual networking: VLAN Linux Bridges Bonding Experience with virtualization performance tuning and troubleshooting.<br> Experience with patching, upgrades, security hardening, and vulnerability remediation .<br> Basic scripting knowledge using Shell and/or Python .<br> Strong troubleshooting, analytical, and incident-management skills.<br> Familiarity with ITIL Incident, Problem, and Change Management .<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $200/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<ul><li><p>Support the Head of Pricing in preparing quarterly and annual budgets.</p></li><li><p>Design and implement fixed-price service offerings for key repair jobs, ensuring competitiveness and profitability.</p></li><li><p>Develop and optimize retail pricing structures across brands to improve SPVIO and overall gross margins.</p></li><li><p>Identify pricing improvement opportunities through data analysis, visualizations, and business cases.</p></li><li><p>Manage and continuously enhance the menu pricing solution, including validation and adoption of new jobs.</p></li><li><p>Drive new brand inclusion within menu pricing and support digitalization initiatives to unlock margin growth opportunities.</p></li><li><p>Develop value-based pricing strategies for Segment 2 and other target customer segments.</p></li><li><p>Support the development and governance of goodwill policies, including customer and business contribution ratios.</p></li><li><p>Utilize statistical analysis and data visualization techniques to improve business performance and decision-making.</p></li><li><p>Create, implement, and review labour pricing structures to maximize efficiency and profitability.</p></li><li><p>Collaborate with Tier 1 and Tier 2 stakeholders to minimize cannibalization while protecting gross margins.</p></li><li><p>Monitor revenue and margin performance, providing insights on variances against budgets and forecasts.</p></li><li><p>Track and report recommended work conversion rates and pricing effectiveness.</p></li><li><p>Ensure B2C pricing SOPs are current, compliant, and aligned with operational requirements.</p></li><li><p>Develop dashboards and reporting tools to provide actionable insights on retail pricing performance.</p></li><li><p>Lead and manage the B2C Aftersales Pricing team, ensuring delivery against agreed KPIs.</p></li><li><p>Oversee discount structures across all brands, including staff discount programs and retail price revisions.</p></li><li><p>Manage pricing governance, cost adjustments, process improvements, and timely pricing of new products across all channels.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p><strong>Required Skills To Be Successful:</strong><br></p><ul><li><p>Strong analytical and problem-solving skills.</p></li><li><p>Excellent communication skills, especially in translating technical knowledge for non-technical audiences.</p></li><li><p>Proven commercial mindset, understanding customer impact.</p></li><li><p>Advanced proficiency in MS Excel and PowerPoint.</p></li></ul><p><br><strong>What Qualifies You For The Role:</strong><br></p><ul><li><p>Bachelor's Degree in Business Administration, Economics, Mathematics, or Finance; MBA preferred.</p></li><li><p>Minimum 5 years of work experience in a multinational environment within the automotive sector, ideally with a distributor and OEM.</p></li><li><p>2+ years of hands-on experience using analytical tools (e.g., R, Python) for solving real-world problems, preferably with knowledge in pricing analytics.</p></li><li><p>Experience with Tableau or other data visualization tools such as Power BI, SAS, or SAP Business Objects.</p></li></ul></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br>Job Description<br><p><strong>We are&nbsp;</strong>currently looking for<strong> &nbsp;AI Solutions Engineer for (Offshore/Onsite) our UAE operations</strong> with the following terms &amp; conditions.</p><br><p><strong>Qualifications:</strong></p><br><p>Education: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related field.</p><br><p><strong>Experience:</strong></p><br><ul><li>Good years of experience in AI, machine learning, and solution architecture, with a proven track record of designing and deploying AI solutions.</li><li>Hands-on experience with AI tools and platforms and cloud services like Microsoft Azure.</li><li>Strong background in machine learning algorithms, deep learning, data processing, and systems integration. Ability to drive architecture governance, code quality, and technical standards.</li><li>Proven experience delivering AI and digital transformation solutions within financial services, banking, fintech, regulatory authorities, or highly regulated environments, with a strong understanding of compliance, governance, risk management, and regulatory requirements.</li></ul><p><strong>Technical Skills:</strong></p><br><ul><li>Proficient in programming languages such as Python, Java, or C++.</li><li>Familiarity with data pipeline tools and frameworks</li><li>Experience with cloud infrastructure, containerization (Docker, Kubernetes), and DevOps practices.</li><li>Solid understanding of data architecture, data science, security, and privacy considerations in AI systems.</li><li>Design AI solutions integrated with enterprise platforms (Salesforce CRM, datalakes, CMS, APIs). Hands-on experience with frameworks like Hugging Face, LangChain, Foundry, OpenAI APIs etc.</li><li>Demonstrated experience in designing, developing, and deploying Agentic AI solutions, including autonomous AI agents, multi-agent systems, AI orchestration frameworks, and agent-based workflow automation using platforms such as Azure AI Foundry, Agentforce, etc</li></ul><p><br> <strong>Soft Skills:</strong></p><br><ul><li>Strong analytical and problem-solving skills.</li><li>Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.</li><li>Leadership experience and the ability to work effectively in cross-functional teams.</li><li>Detail-oriented and focused on delivering high-quality, scalable solutions.</li></ul><p><strong>Data &amp; Integration:</strong></p><br><ul><li>Familiarity with data engineering tools, data lakehouses (Fabric), and ETL pipelines.</li><li>Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware.</li></ul><p><strong>Experience:</strong><strong>6 to 8 Years</strong></p><br><p><strong>Preferred Qualifications:</strong></p><br><p>Experience with advanced AI techniques such as reinforcement learning, natural language processing, or computer vision.<br> Knowledge of AI ethics and bias mitigation strategies.</p><br><p><strong>Terms and conditions</strong></p><br><p><strong>Joining time frame:</strong> Immediate</p><br><br>Additional Information<br><p><strong><u>Terms and conditions:</u></strong>&nbsp;</p><br><p><strong>Joining time frame:</strong>&nbsp;&nbsp; <strong>maximum 4 weeks</strong></p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br>Job Description<br><p>We are currently looking for AI Solutions Engineer for (Offshore/Onsite) our UAE operations with the following terms &amp; conditions.</p><br><p>Qualifications:</p><br><p>Education: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related field.</p><br><p>Experience:</p><br><p>• Good years of experience in AI, machine learning, and solution architecture, with a proven track record of designing and deploying AI solutions.</p><br><p>• Hands-on experience with AI tools and platforms and cloud services like Microsoft Azure.</p><br><p>• Strong background in machine learning algorithms, deep learning, data processing, and systems integration. Ability to drive architecture governance, code quality, and technical standards.</p><br><p>• Proven experience delivering AI and digital transformation solutions within financial services, banking, fintech, regulatory authorities, or highly regulated environments, with a strong understanding of compliance, governance, risk management, and regulatory requirements.</p><br><p>Technical Skills:</p><br><p>• Proficient in programming languages such as Python, Java, or C++.</p><br><p>• Familiarity with data pipeline tools and frameworks</p><br><p>• Experience with cloud infrastructure, containerization (Docker, Kubernetes), and DevOps practices.</p><br><p>• Solid understanding of data architecture, data science, security, and privacy considerations in AI systems.</p><br><p>• Design AI solutions integrated with enterprise platforms (Salesforce CRM, datalakes, CMS, APIs). Hands-on experience with frameworks like Hugging Face, LangChain, Foundry, OpenAI APIs etc.</p><br><p>• Demonstrated experience in designing, developing, and deploying Agentic AI solutions, including autonomous AI agents, multi-agent systems, AI orchestration frameworks, and agent-based workflow automation using platforms such as Azure AI Foundry, Agentforce, etc</p><br><p>Soft Skills:</p><br><p>• Strong analytical and problem-solving skills.</p><br><p>• Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.</p><br><p>• Leadership experience and the ability to work effectively in cross-functional teams.</p><br><p>• Detail-oriented and focused on delivering high-quality, scalable solutions.</p><br><p>Data &amp; Integration:</p><br><p>• Familiarity with data engineering tools, data lakehouses (Fabric), and ETL pipelines.</p><br><p>• Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware.</p><br><p>Experience: 6 to 8 Years</p><br><p>Preferred Qualifications:</p><br><p>Experience with advanced AI techniques such as reinforcement learning, natural language processing, or computer vision.</p><br><p>Knowledge of AI ethics and bias mitigation strategies.</p><br><p>Terms and conditions</p><br><p>Joining time frame: Immediate</p><br><br>Additional Information<br><p><strong><u>Terms and conditions:</u></strong>&nbsp;</p><br><p><strong>Joining time frame:</strong>&nbsp;&nbsp; <strong>maximum 4 weeks</strong></p><br><br><br> </div>