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Job DescriptionPurpose of this Role:The VP and Head of AI Lab leads the bank's AI delivery engine. The role is accountable for executing the bank's AI operating model and strategy, scaling its portfolio of strategic AI assets, and operationalizing AI across the enterprise so that it generates measurable value for customers, employees, and shareholders.The Head of AI Lab oversees two delivery squads that build and run the bank's flagship AI products, while also enabling the wider organization to adopt AI tools, platforms, and capabilities responsibly. The role combines hands-on portfolio leadership with strategic ecosystem building, executive engagement, financial stewardship, and people development.What You Will DoStrategy and Operating Model ExecutionTranslate the bank's AI strategy into an executable portfolio of products, releases, and platform capabilities.Operate the AI operating model end-to-end, from intake and prioritization through delivery, deployment, and continuous improvement.Maintain alignment between the AI Lab roadmap, enterprise priorities, and divisional business plans.Squad and Portfolio LeadershipLead two diverse squads covering customer experience AI products and internal productivity AI solutions, each with distinct missions, talent profiles, and stakeholders.Partner with the AI Delivery Lead to remove blockers, mitigate delivery risk, and ensure on-time release of strategic assets and committed milestones.Empower squad leads and product managers to operate with autonomy, clarity of priorities, and full ownership of outcomes.Democratization and Operationalization of AIEquip the organization with the right AI tools, platforms, and reusable assets to accelerate safe, productive adoption across functions.Build a community of practice and an enablement framework so that teams across the bank can apply AI confidently in their day-to-day work.Drive change management, capability uplift, and cultural reinforcement so AI becomes embedded in everyday ways of working.Stakeholder Management and Executive Reporting.Prepare and run weekly Chief Customer Officer reviews and monthly CEO updates, ensuring material is high quality, aligned with strategic priorities, and prepared well in advance.Build trusted relationships with department heads and squad sponsors to socialize AI opportunities and convert them into prioritized, well-scoped initiatives.Maintain alignment with peer leaders across Enterprise Architecture, Technology Delivery, Risk, Compliance, and other AI-related functions. Partnerships, Ecosystem, and R&DIdentify, evaluate, and onboard external AI providers, technology partners, and strategic investment opportunities to accelerate the bank's AI ambitions.Build and nurture relationships across the regional and global AI ecosystem to bring leading capabilities into the bank.Sustain a meaningful R&D capability within the Lab, whether through in-house experimentation, academic collaborations, or co-development with vendors and partners.Agile Practice and Cross-Functional Alignment.Operate as an active member of the Agile community, working closely with the Enterprise Project Management Office (EPMO), the Agile practice, and the relevant chapters.Synchronize AI Lab ceremonies, releases, and planning cycles with enterprise delivery rhythms and quarterly business reviews. People Leadership and DevelopmentBuild, coach, and retain a high-performing, diverse team of AI product, delivery, engineering, and science talent.Set clear performance expectations, invest in career development, and shape a culture of accountability, curiosity, and disciplined execution.Financial Accountability.Own the AI Lab's CapEx and OpEx envelope in collaboration with the AI Delivery Lead and Finance partners.Ensure the program is delivered within budget and that investment decisions are tied to measurable business outcomes. Decision-Making AuthorityPrioritization and sequencing of the AI Lab portfolio within the agreed strategic envelope.Selection of AI tooling, platforms, and architectural patterns within enterprise governance.Selection and onboarding of AI vendors, partners, and research collaborators.Resourcing decisions across the squads, including hiring, talent allocation, and role design.Release and go-live decisions for AI products, in coordination with Risk, Compliance, and Technology partners.What We Are Looking ForBachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative or technology discipline. A Master's or post-graduate qualification in AI, Data Science, or a related field is a plus but not required.10 to 12 years of progressive experience across AI, data science, advanced analytics, or technology product delivery, with at least 3 to 4 years leading teams of engineers, data scientists, or AI product talent.Hands-on experience delivering AI or analytics products end-to-end, from concept through production and adoption. Direct experience with Generative AI is preferred.Experience working in banking, financial services, or another regulated industry is preferred. Exceptional candidates from technology, consulting, or product backgrounds with strong domain partners will also be considered.Demonstrated ability to manage a portfolio of initiatives, executive-level stakeholders, and a meaningful budget.Comfortable operating inside an agile delivery environment and partnering with product, engineering, and control functions.Required CompetenciesAI and Machine Learning Strategy: ExpertGenerative AI, Large Language Models, and Agentic Systems: ExpertAI Product Delivery and MLOps: ExpertCloud and Data Platforms: AdvancedAI Governance, Responsible AI, and Model Risk: AdvancedSolution Architecture for AI: AdvancedCybersecurity and Data Privacy Awareness: Advanced

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.Role OverviewWe are seeking an experienced AI Data Engineer to design, develop, and deploy innovative data and machine learning solutions that drive customer engagement, retention, and lifetime value (LTV). This role will focus on building scalable data pipelines, predictive models, and GenAI-powered applications that enable more personalised trading experiences and support data-driven decision-making across the business.Key ResponsibilitiesCollaborate with the wider marketing department to build meaningful datasets and a centralised data warehouse that will be used for reporting across numerous teams, focused on customer retention and LTV. Develop and own machine learning solutions that specialise in customer personalisation to increase engagement and coordinate with marketing teams towards their strategy and execution across multiple channels, especially around predictive modelling, churn prediction and customer segmentation. Explore the capabilities of Gen AI to develop new apps for our traders that make trading easier and more personalised based on their preferences. Maintain a commercial acumen and find opportunities where technology can be used to increase customer engagement or automate internal tasks. Qualifications & RequirementsStrong expertise in SQL, comfortable with raw data and multiple high-volume datasets such as customer journey, marketing performance or product behaviour. Comfortable creating pipelines and automations with Python to connect multiple endpoints and APIs such as first party databases, marketing platforms or other data collection platforms. Expertise in using Python todeploy machine learning solutions end to end, especially around predictive modelling and customer segmentation. Previous experience in finding customer insights through data analysis, communicating it to different stakeholders and strategizing on how to increase customer engagement and LTV. Capable of creating applications using LLMs that summarise high volumes of data and knowledge of the latest Gen AI use cases. Previous exposure to ETL tools (e.g., dbt, AWS Glue) and cloud environments (preferably AWS, SageMaker). Strong communication skills with the ability to present complex data insights to non-technical stakeholders and support business strategy. Why Join Us?Work with an industry-leading global financial institution. Competitive salary and comprehensive employee benefits. Opportunities for professional growth and career advancement. Collaborative, inclusive, and dynamic work environment. Commitment to innovation and professional excellence. Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.MultiBank Group combines prime liquidity, cutting-edge technology, and first-class service to deliver advanced trading platforms to clients worldwide.Our mission is to provide exceptional products and services to our clients — and we continue to invest heavily in technology and regulation to benefit our customers and the financial industry as a whole.As the most heavily regulated financial derivatives group, MultiBank Group maintains an unblemished regulatory record with all its regulators.Positions available across our 25+ global offices — Dubai, Hong Kong, Singapore, London, Sydney, and more. 🌐 Learn more: www.multibankgroup.comMultiBank Group is an equal opportunity employer committed to diversity and inclusion. By submitting your application, you agree that your personal data will be processed in accordance with our Privacy Policy.

Location: GlobalAbout UsMayday.ai is a centralized, AI-driven platform offering real-time disaster and risk intelligence services. Our mission is to save lives, reduce costs, and provide crucial disaster information precisely when needed.ResponsibilitiesDesign, develop, and deploy chatbots to support user interactions and provide real-time assistance.Collaborate with product and data science teams to understand user needs and optimize chatbot responses.Implement Natural Language Processing (NLP) algorithms and fine-tune models for accuracy and context.Continuously monitor and improve chatbot performance based on user feedback and analytics.Integrate chatbot functionalities seamlessly into our existing platform to enhance user experience.QualificationsBachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related field.Proven experience in developing chatbots and conversational AI applications.Proficiency in NLP techniques, conversational AI frameworks (e.g., Rasa, Dialogflow), and programming languages like Python.Strong understanding of user experience principles and chatbot integration with web and mobile applications.Excellent problem-solving skills and a proactive approach to enhancing chatbot interactions.Apply NowYour Name *Your Email *Your CV *❌❌Allow only pdf,doc and docx files.

DescriptionMohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate and highly motivated Faculty. The successful candidates will be responsible for delivering high-quality instruction, mentoring students, contributing to curriculum development, and actively engaging in interdisciplinary research. Faculty members will also have the opportunity to collaborate with leading AI researchers, work on cutting-edge projects, and contribute to the university's growth as a hub for AI excellence.The Department of Machine Learning is expanding and we invite candidates at all levels (Assistant, Associate and Full Professor) to apply.The Department of Machine Learning undertakes rigorous, high-impact, and original research. Research topics include, but are not limited to; machine learning for large models, trustworthy AI, explainable AI, deep learning, reinforcement learning, optimization, collaborative learning, representation learning, theoretical machine learning, and causality.About MBZUAI – A Global Leader in AI Research and EducationMBZUAI is the world’s first university dedicated exclusively to AI and is rapidly emerging as a global leader in the field. Since its establishment in 2020, MBZUAI has grown into a top-ranked AI institution, currently hosting 80+ world-class faculty and 330+ graduate students and ranking among the top 10 AI universities worldwide.With ambitious plans to expand from 8 to over 20 AI departments and grow its faculty from 84 to 300 by 2030, MBZUAI is on a fast-track growth trajectory. By integrating academia, industry, and government collaboration, we are driving AI innovation to address real-world challenges in healthcare, sustainability, and beyond.Why Join MBZUAI? Top-Tier Compensation: Competitive salaries aligned with leading global academic institutionsFunding: MBZUAI empowers researchers with resources and academic freedom, fostering groundbreaking AI advancements in an environment of innovation and independent inquiry.Exceptional Benefits:Comprehensive health & life insuranceRelocation support for international facultyState-of-the-Art Research Facilities: Cutting-edge AI labs and high-performance computingLive in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenitiesIndustry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakersQualificationsThis position requires a PhD in Computer Science or a closely related field. Candidates should have demonstrated excellence in conducting innovative and impactful research, and an interest in mentoring students.Application InstructionsTo Apply For This Position, Please Submit The FollowingCover letterCurriculum VitaeStatement of research vision and interestsStatement of teaching philosophy and experienceList of publicationsReference letters or the names and contact details for three referees (where referee details are provided, each referee will be contact to upload their reference letters via Interfolio)MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives.Be a part of AI’s future – apply today at MBZUAI!#MBZUAI #careeropportunities #AIEqual Employment Opportunity StatementMohamed bin Zayed University of Artificial Intelligence shall abide by the requirements of 41 CFR60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.

Job PurposeAt Emirates Group, we connect the world through our global hub in Dubai, ensuring our customers always ‘Fly Better.’ As one of the most recognised and admired brands globally, we’re driven by innovation and excellence. Join us as an Analytics & Insights Supervisor, and experience a fast-paced, multicultural environment where your ideas and expertise will help shape the future of aviation. Here, you’ll grow alongside professionals from diverse backgrounds, contributing to our shared success and making your mark on a global stage.As an Analytics & Insights Supervisor, you will be responsible to engage, enable, and support the Data Analytics Team in collecting, managing, and coordinating data assets that support Business Intelligence (BI) enablement and analytics projects across the business.In This Role, You WillDeployCollaborate with relevant business departments to assess, gather and document Data Asset requirements that are aligned with business objectives. Engage stakeholders collecting & validating requirements that enable prioritisation of projects & reference for Product Team.Work alongside the business to promote the capability of data assets & supporting adoption. LeadCollaborate with both Data Scientists, Governance, and Data Product Team to support them in their tasks and learn their roles and responsibilities within the team.Monitor and provide visibility of on-going projects to the leadership with appropriate recommendations or action plans.Have a passion to enhance analytical skills & capacities within the team and actively pursue tasks and objectives to achieve this goal.ExecuteSupport planning & prioritisation of requirement deliveryEnsure requirements support streamlined estimation & development by the Product TeamSupport the creation of data assets through development, testing or analysisIdentify source, prepare and maintain data required for Data Assets and Analytics projects or initiativesQualificationTo be considered for this role you must meet the below requirements: 12 years schooling or equivalent with additional qualification or certification relevant to data analysis2+ years experience in a data driven environment. Experience working with data assets that support a business need.Familiarity or knowledge of languages such as SQL, Python, R, etc.Familiarity or knowledge of visualisation best practise & enablement of data storytelling.Excellent command of written and spoken English.Understanding of how data is sourced and managed in a business environment.Attention to detail.At Emirates Group, we’re committed to providing our employees with opportunities to grow and develop their careers. If you’re looking for a challenging and rewarding opportunity, apply today and join our team!Salary & benefitsJoin us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world.Find out what it’s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers

Job Title: AI Content Evaluation SpecialistJob Type: ContractorLocation: Remote (US/Canada/LATAM)Job SummaryJoin our customer's team as an AI Content Evaluation Specialist and play a vital role in ensuring AI-generated content aligns with community guidelines and safety standards. This expert-level position offers the opportunity to influence how advanced AI systems interpret and interact with online content while working remotely with a diverse team.Key ResponsibilitiesAssess and moderate AI-generated images and text for compliance with safety and content guidelines.Identify, flag, and report potentially harmful or inappropriate materials across various platforms.Collaborate with cross-functional teams to refine content evaluation procedures and ensure continuous improvement.Analyze emerging trends in social media and user-generated content to inform evaluation protocols.Document findings and provide clear, actionable feedback to development teams.Stay updated on the latest advancements in AI, content moderation, and digital safety practices.Contribute to the development and maintenance of internal best practices and knowledge bases.Required Skills And QualificationsProven experience in content moderation, digital safety evaluation, or a related field.Strong social media literacy with a keen awareness of community guidelines and platform-specific standards.Advanced skills in analyzing both visual and textual content for compliance and safety risks.Exceptional written and verbal English communication skills, with meticulous attention to detail.Ability to provide clear, concise, and constructive feedback.Comfort working independently and as part of a remote, collaborative team.Excellent critical thinking and problem-solving abilities.Preferred QualificationsExperience working with AI or machine learning-driven content moderation tools.Background in psychology, communications, or a related discipline.Demonstrated passion for digital safety and ethical content evaluation.