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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

Location: Remote (Work from Anywhere)Job Type: Contract / FreelanceJob OverviewWe are looking for Image Reinforcement Learning (RL) Experts to work on a cutting-edge AI project focused on improving image-based machine learning systems. The role involves designing tasks, datasets, and evaluation frameworks to enhance AI model reasoning and performance in image-related applications.This is a remote, project-based opportunity ideal for professionals with strong experience in computer vision, reinforcement learning, and AI model evaluation.Key ResponsibilitiesDevelop and implement reinforcement learning approaches for image-based tasksDesign training datasets and evaluation benchmarks for image AI modelsAnalyze and improve model performance in image recognition and visual reasoningWork with machine learning pipelines for image classification, detection, and segmentationCollaborate with AI researchers to improve model accuracy and decision-makingCreate clear documentation of workflows, datasets, and evaluation methodsRequired QualificationsBachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related fieldStrong experience with Reinforcement Learning (RL)Hands-on experience with Computer Vision / Image ProcessingExperience With Python And ML Frameworks Such AsPyTorchTensorFlowOpenCVKnowledge of deep learning models for image analysis

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 Title: Customer Experience Cloud & AI SMELocation: Remote / UAE / PortugalCompany: KompetenzaDepartment: AI & Service Cloud DevelopmentReports To: director R&DAbout KompetenzaKompetenza is a Salesforce partner with a Center of Excellence in Portugal. We specialize in Salesforce FlexTeam solutions, Corporate Services Cloud, and Employer of Record (EOR) services. Our mission is to help organizations transform customer experiences through intelligent self-service portals, AI automation, and digital engagement.Role OverviewWe are looking for a Customer Experience Cloud & AI SME to lead the design, development, and optimization of self-service customer portals while integrating AI-driven automation across both Salesforce and external ecosystems.This role requires expertise in Salesforce Experience Cloud and a strong understanding of AI-driven automation to create seamless self-service solutions, AI-powered agents, and intelligent workflows that enhance customer engagement. The ideal candidate will work closely with clients, internal teams, and stakeholders to drive automation, improve user experience, and mentor organizations on AI adoption.Key Responsibilities Develop & Optimize Self-Service Customer Portals Design, configure, and enhance customer self-service portals using Salesforce Experience CloudImplement self-service automation and AI-driven workflows to improve customer interactionsEnsure portals are intuitive, scalable, and personalized with guided service journeysIntegrate Einstein AI and automation tools for proactive customer support and case resolution AI-Powered Virtual Agents & AutomationDevelop and optimize AI-driven virtual agents within Salesforce and external platformsUtilize Einstein AI, NLP, and machine learning to enhance case deflection and automate customer supportImplement Conversational AI chatbots integrated with Live Chat, WhatsApp, and external messaging platformsEnsure AI agents learn from interactions to continuously improve customer responses Cross-Platform AI Automation & IntegrationWork with Salesforce Flow, Omni-Channel Routing, and Process Automation to optimize service operationsIntegrate self-service portals with third-party AI tools, RPA solutions, and external APIsImplement AI-powered predictive analytics to personalize customer experiences Customer Engagement & AI MentorshipAct as an AI & Experience Cloud SME, guiding clients through their AI and automation journey Work directly with customers to understand their challenges and tailor AI/self-service solutionsProvide training and mentorship to businesses on how to adopt and maximize AI-driven self-service portalsGather feedback from end-users to enhance AI models, workflows, and self-service functionalities Data Intelligence & AI Performance OptimizationUse Salesforce Data Cloud and AI analytics to drive data-backed automation improvementsContinuously monitor AI agent performance and customer engagement metrics to optimize processesEnsure compliance with data security, privacy, and ethical AI practices AI & Innovation StrategyStay ahead of emerging AI and Experience Cloud trends, ensuring cutting-edge solutionsWork with internal teams to align AI automation with business and customer service objectivesEvaluate and integrate new AI and automation tools to enhance customer experienceKey RequirementsTechnical Skills 2+ years of experience in Salesforce Experience Cloud & Service Cloud (or equivalent self-service portal expertise)Hands-on knowledge of Einstein AI, NLP, chatbot development, and automation workflowsExperience with Salesforce Flow, Omni-Channel Routing, and case automationFamiliarity with third-party AI, automation, and chatbot platforms outside SalesforceKnowledge of API integrations, RPA, and machine learning-driven automationSoft Skills & Experience Passionate about customer experience, AI, and digital transformation Comfortable working directly with clients, understanding their self-service & AI needs Strong problem-solving and analytical skills to build impactful automation solutions Excellent communication & presentation skills, able to mentor and train customers Ability to learn quickly and stay updated on the latest AI and self-service technologiesWhy Join Kompetenza R&D Work on cutting-edge AI & self-service portalBenefitsWhy Join Kompetenza?✅ Build a lead generation machine from the ground up - an exciting opportunity to create a scalable system.✅ Work with cutting-edge AI and automation tools to optimize sales outreach.✅ High earning potential - competitive salary with performance-based commission.✅ Remote work flexibility with a global team.

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.

Job DescriptionAbout Wynn Al Marjan Island:On schedule to open in the United Arab Emirates in 2027, Wynn Al Marjan Island has been created as an opulent and entertaining beachside destination for discerning guests to play and relax. Located less than 50 minutes from Dubai International Airport, this integrated resort offering 1,530 rooms and suites, 22 restaurants and lounges, a theatre, nightclub, and five-star spa is currently under construction on a picturesque island that gracefully curves into the Arabian Gulf.About The PositionWynn Al Marjan Island is looking for a Data Scientist to join our Database Marketing team.ResponsibilitiesThe primary duties and responsibilities of this role are: Build, maintain and optimize predictive models for the Gaming Marketing Campaigns Prepare datasets for modeling: cleaning, transforming, feature engineering, and validating data sources Maintain documentation for model inputs, business rules, and assumptions Support campaign operations by producing analytical variables, flags, segments, and model driven attributes Perform ad hoc analysis to support marketing decision making Build and maintain performance dashboards and recurring reports for Models and Campaigns performance Work with the Campaign Manager to ensure model outputs are correctly used during targeting and list creation Collaborate with Loyalty Marketing and other business units to understand their data needs and provide analytical support Assist in test and learn initiatives (eg., A/B tests, offer calibration) through proper setup and data preparation Perform checks to identify anomalies, missing data, or unexpected trends Keep analytical workflows organized, reproducible, and documented Summarize findings clearly for non-technical stakeholders About You Master or Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related analytical field. +2 years of experience in data science and analytics (Gaming experience is a plus but not required). Strong Python and SQL skills for data manipulation and analysis. Experience with Machine learning models (experience with Databricks is a plus) Solid understanding of basic statistical concepts (regression, segmentation, clustering, sampling, validation) Experience working with large datasets and operational, recurring analytical tasks. High attention to detail with strong QA instincts. Ability to explain analytical outputs clearly to non‑technical stakeholders. Organized, reliable, and willing to handle operational and routine tasks as part of learning the gaming analytics environment. About Wynn Al Marjan Island’s BenefitsWe offer an attractive salary, paid in Dirhams (AED), the local currency of the UAE. In addition, we offer an excellent leave policy, a healthcare package, incentive programs, and other employee benefits . The result is a package that makes this role highly attractive to outstanding applicant s seeking a career with Wynn Resorts, among the most renowned and celebrated brands in the global hospitality industry.