Your AI career in the UAE starts here

The Chief AI Officer is the senior executive responsible for a newly created business within a trading company where you'll own P&L, commercial results and day-to-day leadership, and be accountable for operating within its licences and regulatory obligations.This is an AI leader first, with strong finance and brokerage knowledge. You will lead the next phase of the business, embedding AI, bots and automation across the business: setting the strategy, building the teams, managing vendors, and putting in place the KPIs and governance that turn AI into measurable business results. You will report to the Founder / Group CEO and must be able to explain complex technology in clear business terms and prove its value.Lead the AI directionDefine and own the AI and automation strategy and roadmap for the business, aligned with business goals.Lead end-to-end delivery of AI projects, from use-case identification and pilots through to production and adoption.Build, lead and develop high-performing teams (AI/ML engineers, data scientists, automation and bot developers, product and project managers).Manage vendors, technology partners and platform selection (build vs. buy), and drive AI adoption across the business.Define KPIs, business cases and ROI for AI initiatives, and oversee AI governance, risk, data security and regulatory compliance, including model risk, explainability and responsible AI.Identify where AI and automation can add value across trading, client services, risk, compliance, marketing and operations.Run the businessOwn the P&L, commercial targets, strategy and growth plan for business.Lead the heads of Trading, Risk, Operations, Product and Compliance within the business and ensure effective coordination across functions.Be accountable for operating within the scope of its licences, own its relationships with regulators, shareholders and banking partners, and promote a strong compliance and risk culture.Lead the response to material regulatory, operational or reputational incidents, and represent the business externally as required.Reporting line and authorityReports to the Founder / Group CEO.To the Board overseeing strategy, risk and performance, and to the Chief AI Officer who reports to it through the Founder / Group CEO.Operates within agreed authority limits. Budgets, headcount, capital and spending above the agreed limit require the written approval of the Founder / Group CEOKey Performance IndicatorsCommercial: Company P&L, revenue growth and client activity against the annual plan.Regulatory: zero material regulatory breaches, with any findings remediated on time.Cost: operating costs and headcount within approved budget.AI return on investment: measurable cost savings, revenue or risk reduction from AI initiatives against their approved business cases.Targets are agreed annually with the Founder / Group CEO.Qualifications15+ years of professional experience, including senior leadership (General Manager, CEO, COO or equivalent) with P&L ownership.Proven hands-on experience leading AI, automation and bot projects from concept to production.Strong finance and brokerage knowledge: trading, pricing, execution and risk, and platforms such as MT4/MT5 or equivalents, in a financial services or fintech environment.Track record of leading multidisciplinary teams, both business (Trading, Risk, Compliance, Operations, Product) and technical (AI/ML, data science, automation andbot development).Bachelor’s degree in Business, Finance, Economics, Computer Science, Engineering, Data Science or a related field; a Master’s degree or MBA is preferred.Experience operating in a regulated environment, including regulator-facing accountability, is a strong advantage.Required Skills & ExperienceDeep understanding of the AI development lifecycle: data preparation, training, validation, deployment, monitoring and retraining.Hands-on knowledge of generative AI and large language models, including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, evaluation and guardrails.Experience with agentic AI: multi-step agents, tool use, orchestration frameworks and human-in-the-loop controls.Experience delivering intelligent automation (RPA, workflow automation, API integration, conversational bots) and integrating AI with CRM, trading platforms, back-office, KYC/AML and reporting tools.Understanding of trading infrastructure: order management and execution, liquidity, pricing, risk engines and MT4/MT5 or equivalents.Awareness of AI applications in finance: trade surveillance, market-abuse and fraud detection, client behaviour analytics, risk scoring, algorithmic trading support and compliance automation.Experience tracking KPIs and OKRs across a portfolio of AI initiatives, including budgets, milestones and benefits realisation.Core CompetenciesTechnical depth: credible with engineers and data scientists, able to challenge architecture and approach.Business acumen and value demonstration: links AI to revenue growth, cost savings, risk reduction and client experience; builds business cases and communicates results convincingly to executives.Leadership: inspires, hires and develops talent, aligns department heads around sharedpriorities, and builds a culture of innovation and accountability.Stakeholder management: influences C-level executives, business heads and external partners; confident representing the business to regulators and shareholders.Governance mindset: balances innovation and commercial ambition with security, compliance and ethical AI use.Execution: delivers in a fast-moving environment, prioritises effectively, and communicates clearly and decisively under regulatory or market-event pressure.

The Officer, AI Engineering supports the implementation, testing, deployment and monitoring of AI and Generative AI solutions across EDB. The role contributes to AI initiatives by supporting prompt development, solution validation, data preparation, documentation and technical coordination activities. Working closely with business and technology teams, the role helps ensure AI solutions are delivered in alignment with business objectives, EDB technology standards, information security requirements and responsible AI principles.AI Engineering Responsibilities:• Assist in understanding business requirements and identifying opportunities to leverage AI and Generative AI solutions to improve productivity and automate manual activities.•Support requirement gathering sessions with business users and document AI use cases, expected outcomes, assumptions, and success criteria.• Assist in researching, evaluating, and proposing suitable AI approaches, tools, and capabilities for approved business use cases.• Support prompt creation, refinement, and optimization to improve the quality, relevance, and effectiveness of AI-generated outputs.• Participate in developing prototypes, proof-of-concepts (PoCs), and AI-enabled solutions under the guidance of senior team members.• Assist in preparing, organizing, and validating data required for AI use cases and solution development activities.•Support testing and validation of AI outputs against business requirements and expected results.•Document AI use cases, prompts, solution designs, testing outcomes, lessons learned, and implementation activities using approved templates.•Assist in monitoring AI solution performance, collecting user feedback, and identifying opportunities for improvement and optimization.•Support AI initiatives aimed at accelerating software development, documentation, testing, and operational efficiency across EDB.AI Governance, Risk and Compliance Responsibilities:• Follow EDB AI governance, information security, data privacy, and responsible AI requirements during assigned activities.•Support reviews of AI outputs to identify quality, accuracy, security, privacy, or compliance concerns.•Maintain documentation, evidence, approvals, and records related to AI initiatives and use cases.•Escalate risks, issues, limitations, or inappropriate AI outputs through the appropriate channels.Stakeholder Support and Reporting Responsibilities:•Support business and IT stakeholders during AI use case discovery, testing, demonstrations, and implementation activities.•Assist in coordinating meetings, capturing feedback, and tracking AI-related actions and enhancement requests.•Prepare simple reports, progress updates, use-case trackers, and implementation status summaries.•Maintain effective communication with stakeholders regarding assigned activities and deliverables.Continuous Improvement Responsibilities:•Contribute ideas for new AI use cases that can improve productivity, customer experience, operational efficiency, and software delivery.•Support maintenance of prompt libraries, use-case repositories, testing checklists, and documentation standards.•Participate in knowledge-sharing sessions, AI training initiatives, and continuous learning activities.•Perform other AI engineering support and innovation-related duties assigned by the line manager.Required Qualifications:• Bachelor’s degree in Artificial Intelligence, Computer Science, Data Science, Information Technology, Software Engineering, Information Systems or a relevant field.• Relevant certification or training in AI, Generative AI, data analytics

🤖 We’re Hiring: NLP Engineer (Natural Language Processing Engineer)🕒 Employment Type: Full-Time💼 Level: Mid-LevelWe are looking for a talented, analytical, and innovative NLP Engineer to join our technology team! The ideal candidate will have a strong background in natural language processing, machine learning, artificial intelligence, and computational linguistics. You will be responsible for developing, implementing, and optimizing NLP models and systems that enable computers to understand, interpret, and generate human language. This role offers an exciting opportunity to work on advanced AI applications, intelligent automation, conversational systems, and language-based technologies.🎯 Key ResponsibilitiesDesign, develop, and implement NLP models and algorithms for various language-based applications.Build and optimize systems for text classification, sentiment analysis, named entity recognition, and information extraction.Develop natural language understanding (NLU) and natural language generation (NLG) solutions.Work with large language models (LLMs) to develop intelligent applications, chatbots, and conversational AI systems.Process, clean, annotate, and analyze large-scale textual datasets for model training and evaluation.Apply machine learning and deep learning techniques to improve language model accuracy and performance.Develop text processing pipelines, including tokenization, text normalization, feature extraction, and language modeling.Fine-tune pre-trained language models using frameworks such as BERT, GPT, and other transformer-based architectures.Evaluate NLP model performance using appropriate metrics and implement improvements based on testing results.Collaborate with data scientists, machine learning engineers, software developers, and product teams to deliver AI-powered solutions.Research emerging NLP technologies, methodologies, and academic developments to identify opportunities for innovation.Deploy, monitor, and maintain NLP models in production environments.Optimize model efficiency, scalability, and computational performance.Prepare technical documentation, model evaluation reports, and development guidelines.Ensure NLP applications follow appropriate data privacy, security, and responsible AI practices.✅ RequirementsBachelor's or master's degree in Computer Science, Artificial Intelligence, Data Science, Computational Linguistics, Mathematics, or a related field.Proven experience in Natural Language Processing, Machine Learning, or Artificial Intelligence development is preferred.Strong programming skills in Python and familiarity with libraries such as PyTorch, TensorFlow, Hugging Face Transformers, and spaCy.Good understanding of NLP concepts, including tokenization, embeddings, text classification, sentiment analysis, and language modeling.Familiarity with transformer architectures and large language models (LLMs).Experience with model training, fine-tuning, evaluation, and deployment.Knowledge of machine learning algorithms, deep learning architectures, and statistical methods.Experience working with structured and unstructured text datasets.Familiarity with REST APIs, cloud platforms, and model deployment tools is an advantage.Strong analytical thinking, problem-solving, and debugging abilities.Excellent communication and teamwork skills.Ability to manage multiple technical projects and meet development deadlines.Passion for AI research, language technologies, and continuous technical learning.🌟 What We OfferCompetitive salary and benefits package.Opportunities to work on innovative AI and NLP projects.Exposure to advanced machine learning technologies and large language models.Professional development opportunities and technical training.A collaborative and technology-driven working environment.Opportunities for career advancement in artificial intelligence and data science.The chance to contribute to the development of intelligent language-based applications and next-generation AI solutions.📩 Interested in Joining Our Team?If you are passionate about artificial intelligence, language technologies, and building intelligent systems that understand human communication, we would love to hear from you! Apply now and become part of our technology team, contributing your expertise to the future of AI and natural language processing.

Location: Dubai, United Arab EmiratesEmployment Type: Full-Time, OnsiteAbout noonWe’re building an ecosystem of digital products and services that power everyday life across the Middle East—fast, scalable, and deeply customer-centric. Our mission is to deliver to every door every day. We want to redefine what technology can do in this region, and we’re looking for an Account Manager who can help us move even faster.noon’s mission: Every door, every dayWhat you'll do:Team noon has some of the fastest, smartest, and hardest-working people we've encountered. We are looking for ambitious and passionate UAE National graduates to join our Technology team at noon. This is an exciting opportunity for recent graduates who are eager to build a career in software engineering, artificial intelligence, and emerging technologies.As part of this program, you will join one of our engineering teams and work alongside experienced software engineers, product managers and technical leaders on projects that directly impact millions of customers across the region. You will receive hands-on mentorship, structured learning opportunities, and exposure to cutting-edge technologies while developing your technical and professional skills.Whether your interests lie in AI, machine learning, backend engineering, data, or platform development, this program is designed to help you discover your strengths and build a long-term career within Technology at noon.Join one of our Technology teams and contribute to real engineering projects from day one.Work alongside experienced engineers to design, develop, test, and deploy scalable software solutions.Support the development of AI-driven products and automation initiatives across the business.Learn modern software engineering practices, development frameworks, and cloud technologies.Collaborate with cross-functional teams including Product, Data, and Engineering.Participate in technical training, mentoring sessions, and continuous learning opportunities.Contribute ideas that improve customer experience and operational efficiency.What you'll need:UAE National (Family Book required).Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Artificial Intelligence, Data Science, or a related technical discipline.Recent graduate or up to 2 years of professional experience.Strong interest in Artificial Intelligence, Machine Learning, Software Engineering, or emerging technologies.Basic programming knowledge in languages such as Java, Python, C++, JavaScript, or similar.Strong analytical and problem-solving skills.Eagerness to learn, grow, and work in a fast-paced technology environment.Excellent communication and collaboration skills.Who will excel?We’re looking for people with high standards, who understand that hard work matters.You need to be relentlessly resourceful and operate with a deep bias for action.We need people with the courage to be fiercely original.noon is not for everyone; readiness to adapt, pivot, and learn is essential.

We are hiring Director of AIAzizi Developments is a leading UAE-based private real estate developer with a growing portfolio of landmark residential and mixed-use developments. Our corporate functions play a critical role in supporting the Group’s strategy, growth, governance and long-term business objectives.Job Responsibilities A. AI Strategy and LeadershipDevelop and execute the company's AI strategy, transformation roadmap, and implementation priorities in alignment with overall business objectives.Identify high-impact AI use cases across business units, departments, and project operations.Establish an AI Centre of Excellence (CoE) to promote best practices, standardization, knowledge sharing, and responsible AI adoption.Advise senior management on emerging AI technologies, industry trends, investment opportunities, and potential business impact.Develop business cases, investment proposals, budgets, and implementation plans for AI initiatives.Establish performance indicators to measure AI adoption, productivity improvements, cost savings, and return on investment (ROI).B. AI Solutions and ImplementationLead the design, development, deployment, and continuous improvement of AI-powered solutions, including machine learning, generative AI, intelligent automation, and predictive analytics.Oversee the implementation of AI assistants, enterprise chatbots, document intelligence, knowledge management systems, and workflow automation.Identify opportunities to integrate AI capabilities into existing enterprise applications, including ERP, CRM, HRMS, project management, and business intelligence platforms.Drive the use of AI to automate repetitive tasks, improve processing accuracy, reduce manual intervention, and accelerate decision-making.Evaluate and manage AI platforms, large language models (LLMs), cloud-based AI services, and third-party AI solutions.Ensure successful deployment of AI solutions through proof of concepts (PoCs), pilot projects, user acceptance testing, and controlled production rollouts.C. Real Estate and Property Development ApplicationsImplement AI-driven solutions for project planning, construction progress monitoring, resource optimization, and project risk forecasting.Leverage predictive analytics to support property pricing, market demand forecasting, sales performance analysis, and investment decisions.Drive AI-enabled lead scoring, customer segmentation, sales forecasting, and personalized customer engagement.Introduce intelligent customer service solutions for buyer inquiries, property information, booking support, and post-sales services.Explore AI applications for property valuation, portfolio performance, leasing optimization, facilities management, and predictive maintenance.Apply AI to analyze project documents, contracts, tenders, technical specifications, reports, and other business-critical information.Collaborate with relevant departments to identify opportunities for AI-enabled reporting, operational planning, and business performance monitoring.D. Data Strategy and Advanced AnalyticsEstablish the data and analytics capabilities required to support reliable, scalable, and effective AI implementation.Collaborate with IT, data, and business teams to improve data quality, accessibility, consistency, and integration across enterprise systems.Oversee the development of predictive models, forecasting tools, analytical dashboards, and AI-powered decision-support solutions.Define standards for data preparation, model development, validation, deployment, and monitoring.Promote the responsible use of internal and external data while protecting confidential business information and personal data.E. AI Governance, Security and ComplianceEstablish AI governance policies, standards, procedures, and approval frameworks in coordination with IT, Information Security, Legal, Compliance, and other relevant departments.Ensure AI initiatives comply with applicable UAE laws, regulations, contractual obligations, data protection requirements, and company policies.Implement controls addressing data privacy, cybersecurity, intellectual property, model risks, bias, transparency, and accountability.Assess and manage risks associated with generative AI, third-party AI platforms, automated decision-making, and unauthorized use of AI tools.Establish procedures for human oversight, model validation, incident reporting, and ongoing risk assessment.Coordinate with Information Security teams to ensure appropriate access controls, data protection, and secure integration of AI solutions.F. Team Leadership and Capability DevelopmentBuild, lead, and develop a high-performing AI team comprising relevant specialists such as AI engineers, data scientists, machine learning engineers, and AI solution architects.Define team structures, responsibilities, resource requirements, and professional development plans.Promote collaboration between AI, IT, data, cybersecurity, and business teams.Develop AI awareness and capability-building programs for employees and managers.Lead change management for AI initiatives, including stakeholder engagement, communication, training and user adoption, so that AI solutions are embedded in day-to-day operationsG. Performance Monitoring and Continuous ImprovementDefine and monitor KPIs for AI initiatives, including productivity, process automation, cost efficiency, adoption, accuracy, service quality, and ROI.Monitor the performance, reliability, and business effectiveness of deployed AI models and applications.Conduct periodic reviews to identify opportunities for optimization, expansion, or retirement of underperforming solutions.Ensure AI projects are delivered within approved budgets, timelines, and quality standards.Provide regular management reports covering AI portfolio performance, benefits realization, risks, and future opportunities.Educational QualificationsBachelor's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Software Engineering, Information Technology, or a closely related discipline.Master's degree in Artificial Intelligence, Data Science, Computer Science, or Technology Management is preferred.Please DM me or share your profiles @wafa.abdul@azizidevelopments.com

Welcome to MultiBank Group, a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US$ 35 billion. As a heavily regulated institution with oversight from 18+ financial regulators across 5 continents, and recipient of over 80 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.As we continue to expand globally, MultiBank Group is seeking a Head of Quantitative Strategies & Execution to join MultiBank Exchange, our leading institutional Electronic Communication Network (ECN) providing deep liquidity, competitive pricing, and advanced execution solutions to financial institutions, brokers, hedge funds, proprietary trading firms, asset managers, and other professional market participants. Our technology-driven platform delivers transparent access to global FX liquidity while enabling clients to optimize execution quality and trading performance.Role OverviewMultiBank Exchange is seeking a Senior Quantitative Leader to build and lead its quantitative capabilities across liquidity, pricing configuration, execution and short-horizon trading research.The mandate is commercially focused: use high-frequency market and trading data to improve execution outcomes, reduce adverse-selection costs and support sustainable revenue growth.This is a hands-on leadership role at the intersection of quantitative research, low-latency trading technology and institutional electronic FX. The successful candidate will translate market-microstructure insights into measurable, production-ready improvements, working closely with liquidity management, technology, risk and commercial teams.Key ResponsibilitiesBuild and lead the quantitative function, define the research and implementation roadmap, recruit and mentor a growing quantitative team, and partner with liquidity, technology and commercial teams as the platform grows.Analyse tick-level quotes, order-book data, client flow and execution events to understand markouts, adverse selection, latency, slippage, fill quality, rejects and liquidity-provider performance.Develop, test and deploy short-horizon predictive models for post-trade markouts, price movement, flow characteristics and execution quality; apply statistical and machine-learning methods where they offer demonstrable value.Design data-driven approaches to pricing optimisation, liquidity pool selection, and execution/routing configuration.Quantify trade-offs between competitiveness, fill rates, client execution quality, liquidity-provider economics and platform revenue; recommend changes with clear performance metrics and safeguards.Partner with engineering to design reliable tick-data pipelines, event reconstruction, real-time analytics and low-latency model or decision services, including the controls needed for production use.Establish rigorous research and deployment standards: out-of-sample validation, realistic simulation, transaction-cost analysis, controlled rollouts, model monitoring and rollback procedures.Evaluate the feasibility of other proprietary quantitative initiatives; where approved, lead research and implementation within agreed risk, capital and governance parameters.Required Skills and Experience8+ years of relevant professional experience in quantitative trading, electronic market making, systematic FX, execution research or market-microstructure-focused quantitative roles, including experience leading projects or teams.Deep understanding of institutional electronic FX markets, liquidity aggregation, execution protocols and the behavior of bank and non-bank liquidity providers.Strong practical knowledge of high-frequency market data, order books, price formation, short-horizon signals, adverse selection, markouts and transaction-cost/execution analysis.Demonstrated ability to take quantitative research or models into production and measure their live impact on trading or execution performance.Advanced quantitative programming capability, particularly Python; strong familiarity with C++ and low-latency systems, SQL and high-volume time-series data environments. Experience with FIX-based trading infrastructure is important.Sound grounding in statistics, time-series modelling, predictive modelling and robust backtesting; judgement in choosing interpretable statistical approaches versus more complex machine-learning methods.Practical experience using LLM-based tools responsibly for research ideation, code development, testing and documentation, with independent verification of outputs and appropriate confidentiality, security and intellectual-property safeguards.Ability to lead technical colleagues while working effectively with liquidity, risk, technology and commercial stakeholders; strong ownership and communication skills.Preferred QualificationsExperience at an electronic market maker, HFT/MFT firm, institutional FX venue, bank eFX desk, systematic trading firm or liquidity provider.Direct experience with dynamic pricing, spread optimisation, liquidity-provider selection, order routing, execution algorithms or predictive markout/adverse-selection models.Experience with time-series databases, streaming or distributed data systems, cloud infrastructure, low-latency C++ services, and real-time monitoring of production models.Practical use of ML on market microstructure or tick data, such as short-horizon forecasting or adaptive decision models; ability to evaluate vendor-built AI or quantitative software critically.Degree in mathematics, statistics, computer science, physics, engineering, econometrics or a related quantitative field; postgraduate research is an advantage.Why Join Us?Work within a high-growth, industry-leading global financial institution.Competitive compensation and comprehensive benefits.Fast-paced environment with significant ownership and career advancement opportunities.Collaborative, diverse, and high-performance engineering culture.Opportunity to contribute to mission-critical trading applications used worldwide.Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance