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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

Job Purpose:We are looking for an AI Transformation & Execution Lead to accompany a telecom tower infrastructure company in defining, structuring, and implementing its global AI strategy.This role requires a hybrid profile: someone who understands business priorities, identifies high-impact AI opportunities, translates operational pain points into practical use cases, and drives execution with technical teams, business units, and leadership. The person will act as a bridge between executive strategy, operational realities, and AI implementation from brainstorming and use case discovery to roadmap definition, solution design, vendor coordination, and deployment follow-up. This is a hands-on transformation role, not a pure advisory or strategy position. The successful candidate will be expected to actively drive initiatives, coordinate implementation efforts, work closely with operational teams, and help move AI use cases from concept to deployment and adoption.Roles and Responsibilities1. AI Strategy & RoadmapSupport the company in defining its global AI vision and strategic priorities.Identify where AI can create measurable impact across TowerCo operations, finance, energy, field maintenance, asset management, customer/operator interfaces, and internal productivity.Structure AI initiatives into a clear roadmap: quick wins, medium-term projects, and strategic transformation programs.Help leadership prioritize use cases based on business value, feasibility, data availability, and operational readiness.2. Use Case Discovery & Business WorkshopsLead workshops with business, technical, finance, operations, and executive teams.Translate business pain points into concrete AI use cases.Challenge vague AI ideas and turn them into actionable, realistic initiatives.Help teams understand what AI can and cannot do, including risks, limitations, and required data foundations.Document use cases with clear objectives, expected benefits, required data, stakeholders, and implementation complexity.3. Solution Design & Execution SupportTranslate selected use cases into functional and technical requirements.Work with internal teams, vendors, and technology partners to design AI-powered solutions.Support the creation of prototypes, MVPs, pilots, and production deployment plans.Ensure AI solutions are aligned with real operational workflows, not just theoretical innovation.Follow up on execution, track progress, remove blockers, and ensure delivery remains connected to business objectives.4. AI Governance, Risk & AdoptionHelp define safe and responsible AI usage principles.Identify risks related to data privacy, hallucinations, automation, decision-making, and operational dependency.Support the creation of internal AI governance frameworks.Guide teams on human-in-the-loop workflows, validation processes, and progressive automation.Drive adoption by making AI understandable and usable for non-technical teams.5. Cross-Functional CoordinationAct as the link between executive leadership, business departments, IT, data teams, operations, finance, and external AI providers.Ensure all stakeholders are aligned on priorities, scope, expected outcomes, and timelines.Prepare executive presentations, strategy notes, workshop materials, implementation documents, and decision-support content.Support communication around AI transformation internally and externally.Required QualificationsEducationBachelor’s degree in Artificial Intelligence, Data Science, Information Technology, Engineering, Business Information Systems, or a related field.Master’s degree or relevant AI / Digital Transformation certifications is considered a strong advantage.Experience5-7+ years of professional experience across AI, technology strategy, digital transformation, product leadership, or telecom/infrastructure consulting.Minimum 4-5 years of hands-on experience with AI, data, automation, machine learning, or generative AI initiatives.Proven experience leading projects from discovery and business workshops to solution design, MVP/pilot execution, and production deployment follow-up.Experience working with C-level leaders and cross-functional teams in complex B2B or infrastructure environments.Prior exposure to telecom infrastructure, TowerCo, industrial operations, ERP/OSS environments, or field operations is considered a plus, but is not mandatory.Experience evaluating and coordinating AI vendors, platforms, system integrators, or technology partners is highly valuable.CompetenciesKey SkillsAI strategyGenerative AI and LLMsBusiness use case discoveryAI product designWorkshop facilitationOperational transformation and AI adoptionData and system integration awarenessExecutive communicationRoadmap planningAI governanceChange managementProject execution follow-upTechnicalStrong understanding of AI, generative AI, machine learning, automation, and data-driven decision-making.Ability to translate complex AI concepts into simple, business-friendly language.Ability to quickly understand operational environments and translate business problems into practical AI solutions.Strong business sense and ability to identify where AI can generate real ROI.Experience leading workshops, stakeholder interviews, and executive-level discussions.Hands-on and execution-oriented mindset with the ability to independently drive initiatives from idea to deployment.Ability to move from strategy to execution, not only provide high-level recommendations.Strong understanding of operational workflows, data requirements, system integration, and implementation constraints.Comfortable working with both technical teams and non-technical business leaders.Excellent communication, documentation, and presentation skills.Ideal BackgroundTech Founder, CTO, AI Engineer, AI product management, or digital transformation or applied AI implementation roles in B2B environments.Experience building and deploying AI products in B2B environments.Exposure to infrastructure, telecom, industrial, logistics, field operations, ERP/OSS systems, or other operationally intensive environments is beneficial.Experience with AI assistants, predictive models, optimization systems, agentic AI, LLMs, and automation platforms.Previous experience accompanying companies from ideation to pilot and production deployment.Expected Outcomes Build a clear and realistic AI transformation roadmap.Identify high-value AI use cases across departments.Launch practical pilots and MVPs.Move from isolated AI experiments to structured AI adoption.Improve operational efficiency, energy optimization, field productivity, finance automation, and decision-making.Establish safe, scalable, and business-aligned AI practices across the organization.

Job Title: Data ScientistJob Type: ContractorLocation: RemoteJob SummaryJoin our customer team as a Data Scientist and play a pivotal role in transforming data into actionable insights that drive business growth. You will leverage your expertise in statistics, mathematics, and programming to tackle challenging data problems, ensuring clean, robust, and insightful analyses. This is an exciting opportunity to work in a dynamic, expert-driven environment that values clear communication and innovative thinking.Key ResponsibilitiesCollect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis.Develop, validate, and implement statistical models to extract actionable insights from complex data.Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement.Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders.Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery.Continuously improve analytical methodologies and automation processes to enhance data workflows.Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations.Required Skills And QualificationsExpertise in statistics, mathematics, and data analysis techniques.Proven experience in collecting, handling, and cleaning large, complex data sets.Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling.Strong data modeling skills with experience in building and validating predictive models.Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries.Meticulous attention to detail and commitment to data quality at every stage.Excellent written and verbal communication skills, with an emphasis on clarity and precision.Preferred QualificationsExperience working in a remote, cross-functional, or customer-focused team environment.Background in developing and deploying machine learning solutions in production settings.

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: 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

Graduate SAP BTP & AI Developer Interns🚀 We’re Hiring – Graduate SAP BTP & AI Developer InternsApsolut Middle East & Africa is looking for multiple ambitious graduates and early-career developers to join our team in the United Arab Emirates. 🚨 Hiring ImmediatelyThis is an internship-to-full-time opportunity, where selected candidates will work on real enterprise AI and SAP projects with the potential to transition into a full-time role after 3–6 months based on performance. ✅ Must Have:Recent graduate or early-career developerStrong JavaScript, Node.js, HTML, and CSS skillsUnderstanding of databases and REST APIsFamiliarity with GitInterest in AI, LLMs, AI Agents, and Generative AIGood communication and problem-solving skills⚠ Important:Please include links to your projects, GitHub, portfolio, or anything you have built in your CV or cover letter. ✅ Nice to Have:React, TypeScript, or PythonCloud or cloud-native development exposureSAP BTP, CAP, UI5/Fiori, or Cloud Foundry exposureFamiliarity with OpenAI, RAG, vector databases, or AI applicationsKnowledge of SAP, Procurement, Ariba, or other SAP technologiesInternship experience, hackathons, freelance, or personal projects ✅ What You’ll Work On:SAP Business Technology Platform (BTP)Full stack enterprise applicationsAI-powered enterprise applications and integrationsSAP CAP Applications and UI5/FioriSAP Generative AI Hub and latest SAP AI technologiesJoule AI Agents and enterprise AI agent developmentLLM-based solutions and AI-driven workflows 📍 Location: Dubai (WFH India possible, preferably Mumbai)📩 Interested candidates can send us a message or share their CV.Join us and help build the next generation of AI-powered enterprise solutions.#Hiring #Internship #GraduateJobs #SAPBTP #AI #LLM #AIAgents #Joule #NodeJS #JavaScript #GenerativeAI #FullStackDeveloper #SAPDeveloper #TechJobs #UAEJobs