Your AI career in the UAE starts here

Business Support Specialist (With strong IT, Coding & AI skills)We are seeking a proactive and technology-driven Business Support Specialist with strong Coding and AI knowledge to support business operations.Key Responsibilities:Develop and implement automation solutions to improve business processes and operational efficiency.Utilize AI tools and technologies to enhance productivity, reporting, and workflow management.Develop scripts, applications, and data solutions using Python, SQL, APIs, VBA, or similar technologies.Create dashboards, reports, and analytical tools to support management decisions.Analyze business data, Prepare reports, presentations, and business documentation.Support system integrations, process optimization, and digital transformation initiatives.Collaborate with various departments to identify and implement technology-driven solutions.Requirements:Bachelor's Degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.Minimum 3 years of relevant experience.Strong coding skills (Python, SQL, VBA, APIs, or similar).Hands-on experience with AI tools, automation platforms, and data analytics.Strong analytical, problem-solving, and communication skills.Excellent command of written and spoken English.Proficient in Microsoft Office, especially Excel and PowerPoint.Should be available in the United Arab Emirates

We’re Hiring: AI Engineer | UAE NWe are looking for a passionate and hands-on AI Engineer to join our growing team and help build cutting-edge AI-powered solutions.About the RoleAs an AI Engineer, you will be responsible for designing, building, and deploying AI-driven features and applications using large language models (LLMs) such as GPT and Claude. This is a highly practical role focused on developing real-world AI products, not research or model training.What You’ll DoDevelop and deploy AI-powered applications from prototype to productionIntegrate LLMs (GPT, Claude) into business solutions using APIsDesign prompts, workflows, and AI agents to improve output qualityWork with Azure AI Foundry and modern AI platformsContinuously evaluate and adopt new AI tools and technologiesCollaborate with product, design, and engineering teamsWhat We’re Looking ForDegree in Computer Science, AI, or related fieldStrong Python and software engineering skillsExperience working with APIs and LLM integrationsHands-on experience with GPT, Claude, or similar modelsFamiliarity with tools like Git and modern AI frameworksAbility to work in a fast-paced, evolving environmentNice to HaveExperience with LangChain, LlamaIndex, or similar frameworksKnowledge of RAG, vector databases, or Azure AI toolsExposure to open-source LLMs (Hugging Face, Ollama)

AI Data Ops Engineer — Abu Dhabi, UAEWe're hiring an AI Data Ops Engineer for a leading Abu Dhabi-based holding group investing heavily in its data and AI capability. You'll engineer the pipelines that feed everyday AI assistants and enterprise AI products — and you'll be the technical authority reviewing and signing off vendor-delivered data architectures before they reach production. Reports to the AI Solutions Manager. What you'll own:Engineer batch and stream pipelines using Fabric Data Pipelines / Azure Data Factory, Synapse, or Databricks.Implement data quality rules, schema validation, de-duplication, SCD, and reconciliation checks.Operationalize lineage, cataloging, and classifications with Microsoft Purview; enforce RBAC and access patterns.Automate CI/CD via Azure DevOps or GitHub with environment promotion, infrastructure-as-code (Bicep/Terraform), and secrets management via Key Vault.Build feature stores and model-serving data contracts in partnership with MLOps and AI engineering teams.Own reliability: alerts, runbooks, on-call rotation, and cost and performance optimization.Review and finalize vendor-delivered data pipelines and data architecture for AI projects; ensure compliance with client standards for security, performance, and reliability; approve production readiness.Collaborate with delivery partner squads on interface specifications, test data, and delivery checkpoints; support SIT/UAT and production cutover.Define and enforce Data Contracts and SLAs per priority dataset (schema, refresh frequency, quality thresholds, reconciliation checks, and consumer expectations).Own data incident management: classification, RCA, corrective actions, and prevention of recurring nonconformities.Formalize the handshake with AI/ML/DevOps engineers on feature and embedding pipelines, monitoring hooks, and release gates for data-dependent AI deployments. What you bring:6–8 years in data engineering with strong SQL and PySpark and cloud-native data services.Hands-on experience across the Azure data stack: Fabric/Synapse, Data Factory, ADLS Gen2, Delta Lake/Parquet.Bachelor's in Computer Science, Engineering, or equivalent. Core skills and tools required:Python and PySpark, SQL, Lakehouse patterns, medallion architecture.Microsoft Purview: catalog, lineage, classifications; data privacy controls and masking.CI/CD with Azure DevOps or GitHub; IaC with Bicep or Terraform; Docker basics.Observability: Kusto/KQL, Azure Monitor, Log Analytics; performance tuning and FinOps.Production incident response and RCA discipline.Required certifications:DP-700 (Fabric Data Engineer Associate) OR DP-203 (Azure Data Engineer Associate) Desired certifications:Any recognized cloud fundamentals credential (AZ-900, DP-900, AWS Cloud Practitioner, or equivalent)Databricks Certified Data Engineer Associate or Professional  Location: Abu Dhabi, UAEEmployment Type: Permanent, Full-timeExperience: 6-8 yearsSalary Range: 15,000 - 23,000 (AED per month)

Founding AI Engineer (Hedge Fund)We are partnering with a financial services group building an AI-first operating model across investment management, digital assets, fintech, and banking.The organisation is seeking a Founding AI Engineer to architect and deploy production-grade AI systems that support investment research, knowledge management, and decision-making. This is a greenfield opportunity to build the foundations of an AI-powered research platform with direct access to senior leadership and significant autonomy.The RoleYou will design and build agentic AI systems that help researchers, portfolio managers, and traders consume information, generate insights, and make better-informed decisions.Key responsibilities include:Designing single and multi-agent systems for research and information retrieval.Building AI-powered workflows across text, voice, video, PDFs, charts, and structured datasets.Developing scalable data pipelines and research data platforms.Establishing data governance, observability, monitoring, and evaluation frameworks.Creating maker-checker validation systems and human-in-the-loop workflows.Supporting portfolio analytics, performance attribution, risk analysis, and research workflows.Working closely with business leaders to identify opportunities and rapidly deploy solutions.What We're Looking For8+ years of software engineering experience with a track record of shipping production systems.Deep experience designing and deploying agentic AI systems.Strong understanding of AI evaluation, governance, monitoring, observability, and risk controls.Strong Python engineering skills and experience building cloud-native AI platforms.Strong mathematical and analytical foundation, including experience working with time-series and quantitative data.Hands-on experience with multimodal AI, including NLP, speech-to-text, OCR, computer vision, and graph interpretation (desirable)BackgroundHedge FundsAsset ManagementQuantitative Investment FirmsPrivate EquityExperience supporting investment research or investment decision-making workflows is highly desirable.Why Join?Build greenfield AI systems with real business impact.Direct access to founders and executive leadership.Significant autonomy and ownership.Opportunity to shape the AI roadmap from day one.Work in an environment where AI is a strategic priority, not a side project.Location: Dubai, UAEWorking Model: 5 days per week in officeCompensation $200,000 - $300,000 USD + Variable Bonus

Job Purpose: Support the Artificial Intelligence and Data Science Center by contributing to AI use case development, dashboard design, and model validation. Assist in requirements analysis, technical evaluations, testing, and project documentation to ensure effective delivery of AI solutions. Participate in monitoring industry trends, collaborating with suppliers, and attending events and training workshops. Strengthen project outcomes by applying AGILE practices and supporting ongoing improvements to departmental processes.Job Qualifications & Requirements:Education: Bachelor/master’s degree in computer scienceExperience: 0+ years in case of master’s degree (2+ years in case of bachelor’s degree)

At Why Hiring, we believe in the power of connecting talented individuals with incredible remote job opportunities. Our mission is to simplify the job search process and empower professionals to find fulfilling roles that align with their skills and passions, regardless of geographical constraints.About The Role:This position requires strong quantitative skills, experience with large and complex datasets, and the ability to collaborate with analysts, engineers, and mission partners to develop high-impact solutions that drive intelligence insight and operational advantage.Perform statistical analysis and data exploration to extract meaningful insights from complex datasetsSupport the development and validation of predictive models to identify trends and patternsContribute to the development of AI/ML models and data-driven solutionsConduct exploratory data analysis to support decision-making and operational planningAssist in building and maintaining data pipelines for data collection, processing, and integrationCollaborate with data scientists, engineers, and cross-functional teams to improve data workflowsDevelop scripts and tools to automate repetitive tasks and improve efficiencySupport initiatives to enhance data quality, structure, and accessibilityApply basic experimental and analytical approaches to test ideas and evaluate outcomesContribute to improving data systems, workflows, and analytical capabilitiesAssist in identifying data gaps, inconsistencies, and opportunities for optimizationParticipate in team meetings, project discussions, and knowledge-sharing sessionsEducationBachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.Required SkillsProficiency in Python, R, SQL, or similar programming languages.Experience with data visualization platforms such as Power BI or Tableau.Strong understanding of statistical techniques and modeling approaches.Foundational knowledge of AI/ML concepts and applications.Experience working with relational and/or NoSQL databases.Familiarity with cloud-based big data technologies.Ability to explain complex technical findings to non-technical audiences.Understanding of intelligence analysis processes and mission requirements.Experience working with structured and unstructured datasets in complex environments.ExperienceMinimum of 0 to 2 years of experience in data science, analytics, machine learning, or related technical fields.Why Hiring does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.