Your AI career in the UAE starts here

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

The Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi seeks to recruit a Research Engineer to support the design and implementation of interactive AI and data science platforms across the Center’s research clusters.The successful candidate will collaborate with researchers and faculty across domains such as Foundations of Data Science, Enabling Technologies, Health, Education and Personalized Learning, and Bias, Ethics & Privacy, contributing to the development of prototypes, interfaces, and software infrastructure that translate research outputs into usable tools.Key ResponsibilitiesDesign, develop, and maintain web-based and AI-powered platforms supporting CIDSAI research projects.Collaborate with faculty and postdocs on projects such as: Mathematical Collaboration Platform, Personalized Learning Systems and SmartClass AI Tutors, Health-focused conversational AI and multimodal interfaces, Bias detection and fairness-aware tools for ethical AI.Integrate machine learning models, visualization dashboards, and backend services.Contribute to data collection, testing, documentation, and dissemination of open-source resources.QualificationsBachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.Strong programming skills.Experience with machine learning frameworks and backend systems.Familiarity with cloud computing, API integration, data visualization, and database management.Ability to work in interdisciplinary research environments bridging theory, applications, and ethics.The appointment is for two years, with the possibility of renewal. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, a maximum three pages summary of research accomplishments and interests, and at least 2 letters of recommendation, all in PDF format.Further questions may be directed to Professor Pierre Youssef at yp27@nyu.edu.About NYU Abu Dhabihttps://nyuad.nyu.edu/en/NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.UAE Nationals are encouraged to apply.Equal Employment Opportunity StatementFor people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdprNYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.Sustainability Statement NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability

Job PurposeEmirates Skywards seeks to be an inspiring and engaging global loyalty programme for Emirates and FlyDubai. There are a number of key roles within our Skywards Group that are essential to the success of this this programme. From product design, e-commerce and analytics, through to business development, strategic partnerships and member engagement our Skywards team is filled with exciting opportunities!The Skywards Data Analyst will be responsible for reporting analysis and distribution of data to Emirates Loyalty to drive a data first approach. Make improvements to the data lifecycle, from the way data is extracted and prepared to the way analysis and segmentation is performed and presented through to data distribution and utilizated within the department. They will engage with relevant enterprise analytics, marketing & internal teams to develop data products.In This Role, You WillWork with teams across Loyalty to understand and develop measurement KPIs and set up tracking and measurement. Document measurement frameworks, KPI development and reporting inputs for reference by all teams within Loyalty as needed.Build automated dashboards, reports and scorecards for self-service use across the department. Train and support teams in understanding and utilizing the reports to make data-backed decisions.Develops and applies analytical algorithms and methods where possible with a view of driving and enhancing data systems and streamlining business processes. Continuously improve the business data science models, creating industry-leading performance through the leveraging of new and creative data-sources, and employing the latest in machine learning within the department.Responsible for analysing overall performance of data-driven initiatives across the department, service ad-hoc insight requests, and develop visual insight dashboards and reports for consumption by the rest of the department.Engage with the Enterprise Analytics and Warehousing departments in the creation of high quality analyses for all functions of the business and in the definition of metrics that track the business performance at different fronts including Enterprise Data Warehouse, Enterprise Data Hub & CRIS Warehouse.Drive a 'Customer first, data centric' decision making culture within Skywards by helping the business quantify and measure the costs.Validate, interpret, and create reports, dashboard & presentations for departmental heads/management, and relevant stakeholders.Champion the use of Test and learn methodologies to allows a business to try out new ideas and concepts in order to understand the impact it has on factors such as customer experience, employee productivity and revenue.Collaborate with numerous departments across Emirates, aiding them in the proper use of Skywards data, hence, ensuring the delivery of desired operational results.QualificationTo be considered for the role, you must meet the following requiremtents:Experience in the execution of data analytics initiatives, leading to the development of useful insights and the improvement of a business performance and driving top-line growthWorking experience in Loyalty or CommercialExperience in Technical expertise regarding data models, big data, customer/loyalty analysis, CRM database analysis, data mining and segmentation techniquesWorking experience in data science modelsStrong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.Ability to transform data to insights.Ability to organize well, work under pressure and juggle multiple requests.Knowledge of advanced technologies such as Snowflake, Data IKU, Helix, Python, R, SQL etc.At Emirates, we’re committed to helping our people grow and thrive. If you're ready for a rewarding and challenging career, apply today and become part of our world-class team.Salary & benefitsJoin us in Dubai and enjoy attractive salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. You can find out more information about our employee benefits in the Working Here section of our website emiratesgroupcareers.com. Further information on what it's like to live and work in our cosmopolitan home city, can be found in the Dubai Lifestyle section.

Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!About NorthNorth is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.Why This Role?This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.Note: between 20 - 40% travel anticipatedIn This Role, You WillWork closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologiesLead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performanceBuild and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through productionTake ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solutionContribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teamsDrive clarity in ambiguous situations, build alignment, and raise engineering quality across the organizationTravel up to 20–40% to work on-site with customers and partnersYou May Be a Good Fit IfYou have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable codeYou've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-ExecuteYou're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworksYou have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latencyYou’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specsYou have experience owning the full scope of a use case end-to-endYou thrive in fast-paced and ambiguous environments and can execute well even when priorities are shiftingIt's a Bonus If You HaveExperience setting architectural standards for AI and agentic systems across distributed teamsExperience flexing into unfamiliar technical areas, such as frontend, when the problem calls for itExposure to regulated or sensitive industry environments (finance, healthcare, telecoms)Experience with enterprise security, compliance, or auditability requirements for AI systemsWe are open to candidates currently based in the Middle East or who are open to travelling or relocating.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.Full-Time Employees At Cohere Enjoy These Perks🤝 An open and inclusive culture and work environment🧑‍💻 Work closely with a team on the cutting edge of AI research🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

The Machine Learning Engineer reports to the Group Service Support Specialist and takes ownership of the key function of Data Science and ML engineering,This role primary function is to turn raw fleet telemetry, scheduling inputs and operational data into decisions, predictions, and insight that improve the performance of mining operations.This is the foundational analytical hire - responsible for exploring data, defining problems, collaborating with domain experts, and building models that inform the product roadmap across predictive maintenance, anomaly detection, operator behaviour, and dispatch optimisation.Typical features to commercialise are multivariate anomaly detection, failure prediction, estimate remaining life prediction, schedule optimisation, OR(Vehicle routing problem), Computer vision solutions.The role is expected to be able to take ownership of the entire chain of commercialised ML features in the product, including formulating problems, identifying and implementing data infrastructure requirements and implementing ML operational models.Job Overview:Data exploration and problem formulationConduct structured data audits on incoming data streams, assessing signal quality, completeness, historical depth, sampling frequency, and suitability for each modelling use caseTranslate ambiguous business questions into scoped problem statements defining target variable, features, data requirements, modelling approach, and success criteriaDistinguish between problems requiring machine learning, statistical analysis, or rules-based logic and recommend the right approach for each.Maintain a prioritised problem inventory with documented assessments of data readiness, tractability, effort, and business value.Identify data inventory deficiencies and formulate plans to solve and or retrieve.Data Architecture and EngineeringDesign and implement ingestion pipelinesBuild and maintain ETL pipelines transforming raw sensor streams into clean, structured, model-ready feature setsDesign data warehousing and architecture that is fit for purpose.Monitor pipeline health, data freshness, and schema drift as the fleet and product evolve.Vender selection and justification with respect to the expected outputs and associated costsModel Development and ValidationMaintain a structured model registry tracking all experiments, versions, hyperparameters, and evaluation metrics to ensure full reproducibility of any model at any point in time.Implement monitoring frameworks for deployed models that track prediction quality, input data distributions, and output stability over time.Define and document retraining protocols for each deployed model specifying trigger conditions, data requirements, and the validation criteria a model must pass before replacing the current version.Collaborate with engineering to package validated models into production-ready artefacts with clearly documented input formats, output schemas, and failure handling expectationsEvaluate and recommend appropriate deployment patterns for each model based on latency, reliability, and operational requirements.ML Ops and production readinessValidated and commercially viable models to be developed into production ready solutions for the product.Track all experiments, model versions, hyperparameters, and evaluation metrics in a structured model registry ensuring full reproducibilityImplement monitoring frameworks for deployed models tracking prediction quality, input distributions, and output drift over timeEstablish automated alerting for model degradation and define retraining triggers based on performance thresholdsDesign retraining protocols specifying trigger conditions, training data windows, and validation gates a model must pass before replacing the current versionCollaborate with engineering to package validated models into production-ready artefacts with clear input formats, output schemas, and failure handling specificationsEvaluate and recommend appropriate serving infrastructure for each model - batch, near-real-time API, or edge deployment - based on operational requirements Communication Insights and stakeholder engagementPresent model findings and analytical results to non-technical leadership in plain language with honest confidence estimates and clear business implications.Communicate proactively when data assumptions underpinning a modelling initiative are not met, recommending corrective action rather than proceeding on a weak foundation.Document all analytical decisions, model assumptions, and data limitations in a form accessible to engineering, product, and future data science hires. Skills, Knowledge & Attributes Required:Bachelor's degree in engineering, mathematics, computer science, data science, or statistics.Postgraduate qualification in data science, machine learning, or applied mathematics is strongly preferred.Minimum 5 years in an applied data science or analytical role.Strong foundations in statistics, probability, and applied mathematics.Proven experience with industrial IoT or operational sensor data - time series analysis, signal quality assessment, anomaly detection, and predictive modelling.Proficient in Python and SQL; experienced with Kafka or MQTT, cloud platforms, Snowflake, Databricks, and Git.Solid understanding of MLOps practices including experiment tracking, model versioning, monitoring, and deployment.Experience with linear or mixed-integer programming is advantageous.Exposure to LLM, NLP, or agentic AI is advantageous but not required.

About UsAt Why Hiring, we partner with companies across the UAE that are investing in the future of technology, data-driven decision-making, and digital innovation. We help connect ambitious professionals with opportunities where they can grow, contribute, and build meaningful careers while working on impactful projects across rapidly evolving industries. Our client is a fast-growing e-commerce and retail technology company that leverages data to optimize customer experiences, improve marketing performance, and drive business growth across the Middle East.Role OverviewWe are looking for a curious and motivated Junior Data Scientist to join a fully remote team. This opportunity is ideal for recent graduates, career changers, and early-career professionals who want to gain hands-on experience solving real business challenges with data. You will work alongside experienced analysts, engineers, and business stakeholders to transform data into actionable insights that support strategic decision-making.ResponsibilitiesAnalyze customer, sales, and marketing data to identify trends and opportunities.Assist in building predictive and machine learning models.Prepare, clean, and validate datasets for analysis.Create reports, dashboards, and visualizations to communicate findings.Support experimentation and A/B testing initiatives.Collaborate with cross-functional teams on data-driven projects.RequirementsBachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.Basic knowledge of Python and SQL.Understanding of statistics and machine learning fundamentals.Strong analytical and problem-solving skills.Good written and verbal communication skills in English.Ability to work effectively in a remote environment.Personal, academic, or bootcamp data science projects.Experience with Pandas, NumPy, Scikit-learn, Power BI, or Tableau.GitHub portfolio showcasing data-related work.What We OfferFully remote working environment.Structured mentorship and onboarding.Continuous learning and development opportunities.Exposure to real-world business and analytics challenges.