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About the Role Explore data, engineer features, and build machine learning models for real business challenges. Design, run, and evaluate experiments to support products such as fraud detection, recommendation engines, ranking, and personalisation. Collaborate closely with ML engineers and backend developers to bring successful models into production. Present insights and findings to both technical and non-technical stakeholders. Contribute to a collaborative, data-driven environment focused on continuous learning and innovation.Requirements 0–2 years of experience in Data Science (internships, research projects, and academic work are welcomed). Strong Python skills with experience using pandas, NumPy, and scikit-learn. Solid understanding of machine learning, statistics, and experimental design. Good SQL skills. Strong analytical thinking and communication skills. Nice to have: Exposure to Spark, Databricks, recommendation systems, fraud detection, or SaaS/high-scale product environments.Benefits Competitive salary with annual performance bonus. Comprehensive medical insurance. Annual flight allowance. Visa sponsorship. Annual leave entitlement. Learning and conference budget to support your professional growth. Hybrid working model with flexibility. Opportunity to work alongside experienced engineers and data scientists on cutting-edge AI/ML products with a distributed team across Dubai and Europe.

About DataCampDataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.About the roleResearch has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.We are building an AI tutoring system designed to emulate and eventually surpass the best human tutors. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you. This role can be done remotely from anyone of the following; United States, United Kingdom, Belgium, Portugal OR UAEAbout youAt DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You're a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!ResponsibilitiesBuild and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors.Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components.Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions.Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor's intelligence.Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning.QualificationsTechnical1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows.Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD.Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.Product & PedagogyStrong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions.Ability to reason holistically across AI behavior, content structure, platform features, and user experience.Familiarity with learning science or a desire to develop expertise.Character & CollaborationDrawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions.Preference for elegance and simplicity in system design.Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams.Why Datacamp? Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team:Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.Competitive compensation: We offer a competitive salary with attractive benefits.Flexibility: Benefit from flexible working hours because the future is flexible! Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.Global retreats: Participate in international company retreats, fostering a global team spirit.Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.Amazing team: Collaborate with a truly exceptional team—seriously, we're awesome!

About the RoleWe are seeking a highly skilled and experienced Senior AI Engineer / Technical Lead to join our growing AI & Digital Innovation team. The successful candidate will play a central role in the design and development of enterprise-grade AI solutions, with a focus on building scalable, extensible platforms that support both conversational and transactional AI capabilities across multiple business functions.This is a hands-on technical role suited to an engineer who combines deep AI implementation experience with the ability to lead technically, influence architecture decisions, and collaborate effectively with cross-functional teams. The ideal candidate is passionate about applied AI, has a strong engineering foundation, and has demonstrated experience delivering AI solutions in complex enterprise environments.Key ResponsibilitiesAI Solution Design & DevelopmentDesign, develop, and maintain scalable AI solutions that support both conversational (chat-based) and transactional business functionsContribute to the architecture of AI platforms that are modular and extensible, enabling adoption across multiple business units with varying requirementsEvaluate and recommend appropriate AI tools, models, frameworks, and platforms based on use case requirements and organisational standardsImplement orchestration patterns that coordinate AI agents, models, and workflows in a coherent and reliable mannerAI Integration & EngineeringBuild and maintain integrations between AI components and enterprise systems including CRM, ERP, document management, HR platforms, and communication toolsDesign and implement APIs and integration patterns that enable seamless connectivity between AI capabilities and consuming applicationsImplement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and multi-model coordination patterns based on solution requirementsEnsure AI solutions are engineered for performance, reliability, and maintainability in production environmentsConversational & Transactional AIDevelop conversational AI capabilities including intelligent chatbots, virtual assistants, and LLM-powered dialogue systemsBuild transactional AI functions that automate or augment business processes such as document processing, data retrieval, approvals, and workflow automationSupport the design of solutions that handle both real-time and batch AI processing depending on the nature of the business use caseGovernance, Security & Responsible AIApply responsible AI principles throughout the development lifecycle including fairness, transparency, explainability, and data privacyAdhere to and contribute to AI governance practices covering model versioning, monitoring, and auditabilityEnsure AI solutions are built in compliance with organisational security policies, data handling standards, and relevant regulatory requirementsCollaborate with the Information Security team to embed appropriate controls within AI solution designTechnical Leadership & CollaborationServe as a technical lead within the AI team, providing guidance and mentorship to junior engineers and developersWork closely with solution architects, business analysts, and product owners to translate business requirements into sound technical designsParticipate in design reviews, technical discussions, and proof-of-concept evaluationsContribute to the development of internal standards, engineering guidelines, and reusable AI componentsStay current with advancements in the AI space and proactively identify opportunities to apply emerging capabilities within the organisationRequired Qualifications & ExperienceEducationBachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related technical disciplineExperienceMinimum 6–8 years of overall experience in software or AI engineeringMinimum 3–4 years of hands-on experience designing and implementing production AI solutions in an enterprise environmentProven experience working on AI platforms or solutions that span conversational and process automation use casesExperience contributing to or leading the technical delivery of AI integration projects involving multiple enterprise systemsTechnical Skills Area Required ExpertiseAI & ML FrameworksLangChain, Semantic Kernel, AutoGen, LlamaIndex, or equivalent AI orchestration frameworksLarge Language ModelsOpenAI GPT, Azure OpenAI, Anthropic Claude, Gemini, or open-source LLMs (LLaMA, Mistral)Vector DatabasesPinecone, Weaviate, Azure AI Search, pgvector, or equivalentCloud — Azure (Primary)Azure OpenAI Service, Azure AI Studio, Azure Bot Services, Azure API Management, Azure Functions, Azure Logic AppsAzure InfrastructureAzure Kubernetes Service (AKS), Azure Container Apps, Azure Service Bus, Azure Key Vault, Azure MonitorProgramming LanguagesPython (primary), with working proficiency in at least one of JavaScript, C#, or JavaAPI & IntegrationREST API design, event-driven architecture, webhook patterns, API gateway managementRAG & Knowledge RetrievalRetrieval-Augmented Generation (RAG), embedding models, semantic search, knowledge base integrationSecurity & GovernanceAI security controls, data privacy compliance, responsible AI principlesDevOps & MLOpsCI/CD pipelines, containerisation (Docker, Kubernetes), model versioning, prompt management, and monitoringPreferred QualificationsHands-on experience with the Microsoft Azure AI and integration stack, including Azure AI Studio, Azure Integration Services, and Azure API ManagementFamiliarity with agentic AI design patterns and multi-agent coordination frameworksExperience working in regulated industries such as aviation, finance, healthcare, or governmentExposure to enterprise integration platforms such as MuleSoft, Azure Integration Services, or equivalent middlewareMicrosoft Azure certifications such as Azure AI Engineer Associate (AI-102) or Azure Developer Associate (AZ-204) are an advantageFamiliarity with Power Platform (Power Automate, Power Apps) in the context of AI-assisted workflowsKey CompetenciesTechnical Depth — Strong hands-on engineering capability with the ability to move from concept to working solutionProblem Solving — Approaches complex and ambiguous technical challenges in a structured and pragmatic mannerCommunication — Able to explain technical concepts and decisions clearly to both technical peers and non-technical stakeholdersCollaboration — Works well within cross-functional teams and across business units with differing prioritiesInnovation Mindset — Actively follows developments in the AI space and brings relevant ideas and approaches to the teamOwnership — Takes responsibility for the quality and reliability of solutions developed and proactively addresses issuesMentorship — Committed to uplifting team capability through knowledge sharing and hands-on guidance

Role: Principal AI/ML EngineerSalary: DOELocation: Abu Dhabi HQ - Hybrid ModelFor international candidates open to relocation, support is availableRole OverviewWe are looking for a Principal AI/ML Engineer to provide technical leadership across the design, development, deployment and continuous improvement of enterprise-grade AI and machine learning solutions.The Principal AI/ML Engineer will work closely with data scientists, software engineers, cloud engineers, architects, product teams and senior stakeholders to translate complex business problems into scalable, secure and measurable AI/ML solutions. The role will also play a key part in mentoring engineers, improving delivery practices, and embedding responsible AI and robust engineering principles across projects.Key Responsibilities:Lead the design, development and deployment of scalable AI/ML solutions, taking ownership of the full lifecycle from discovery and experimentation through to production delivery and continuous improvement.Define and govern AI/ML architecture, engineering standards and best practices, ensuring solutions are secure, maintainable, cost-effective and aligned with wider business and technology strategies.Design, build and optimise machine learning, deep learning and generative AI solutions, selecting the most appropriate tools, frameworks and approaches to solve complex business challenges.Drive the adoption of MLOps practices, including CI/CD, model versioning, monitoring, observability, performance optimisation and lifecycle management.Collaborate closely with business stakeholders, product teams, architects, data engineers and software engineers to translate requirements into practical AI-driven solutions that deliver measurable value.Provide technical leadership and mentorship to engineers, supporting capability development, design reviews, knowledge sharing and the adoption of engineering best practices.Lead technical discovery activities, proof-of-concepts and architecture assessments, helping shape AI strategy and identify opportunities where AI can improve business outcomes.Ensure robust documentation, governance and responsible AI principles are embedded throughout the delivery lifecycle, supporting transparency, compliance and operational excellence.Stay current with emerging AI technologies, frameworks and industry trends, evaluating their potential application and guiding the organisation's adoption of new capabilitiesRequired Experience:Extensive experience delivering AI/ML solutions in production environments.Strong Python expertise and experience with frameworks such as PyTorch, TensorFlow and Scikit-learn.Deep understanding of machine learning, deep learning and Generative AI technologies.Experience with Azure, AWS or GCP.Strong knowledge of MLOps, CI/CD, testing and software engineering best practices.Proven experience leading technical teams and influencing architecture decisions.

Job OverviewServe as a dedicated ML Ops Engineer within the specialized Miral Destination AI team, responsible for the infrastructure, deployment, monitoring, and optimization that keep Miral Destination’s AI systems running reliably in production.Build and maintain the pipelines and platforms that take models developed by the Data Scientist – AI from experimentation to scalable, secure operation. Report to the Senior Manager AI to ensure all operational work supports the destination’s AI roadmap and delivers dependable, performant AI services for Miral Destination.Job ScopeBuild and maintain the ML infrastructure and CI/CD pipelines that support Miral Destination AI systemsDeploy models developed by the Data Scientist – AI into reliable, scalable production environmentsMonitor model performance, data drift, and system health, and resolve operational issues for Miral Destination AI servicesOptimize infrastructure for cost, latency, and scalability across Miral Destination workloadsProvide ongoing operational support and incident response for production Miral Destination AI systemsAutomate retraining, versioning, and release workflows using Databricks and MLflowReuse enterprise platforms and shared AI capabilities, aligning with the architecture and standards set by the AI & Data organizationEnsure security, governance, and compliance standards are met across all Miral Destination AI operationsCollaborate with AI, Data Engineering, BI, and Enterprise Data teams across DTD to leverage shared capabilities, reusable assets, common platforms, and best practices.Partner with enterprise platform and data engineering teams to ensure consistency of deployment, monitoring, and operational practices across DTD.Job Essential Bachelor’s or Master’s in Computer Science, Software/Data Engineering, AI, or related field3–5 years in ML Ops, DevOps, or ML/data engineeringProven experience deploying and operating ML models in productionStrong MLOps practices and scalable AI deploymentHands-on experience with Databricks, MLflow, and PythonCI/CD, containerization (Docker/Kubernetes), and infrastructure-as-codeModel monitoring, observability, and drift detectionCloud platforms – AWS, Azure, or GCPInfrastructure optimization for cost, latency, and scalability

Role: Member of Technical Staff, Enterprise AILocation: Remote (Work from Anywhere)Job Type: Full-TimePayout: $250K - $500K/yrRole Overview:We are hiring for one of our clients, seeking a Member of Technical Staff, Enterprise AI to work on a full-time basis. The role involves designing, building, and deploying scalable AI systems for enterprise environments. Candidates will collaborate with cross-functional teams to integrate AI solutions into existing technical infrastructure.Key Responsibilities:• Develop and optimize AI models for enterprise applications, focusing on performance, scalability, and reliability.• Design and implement machine learning pipelines to support data ingestion, processing, and model training.• Collaborate with software engineers to integrate AI components into production systems and APIs.• Evaluate and select appropriate AI frameworks and tools to meet business and technical requirements.• Maintain documentation for AI systems, including architecture diagrams, model specifications, and deployment procedures.Required Skills & Qualifications:• Bachelor's or advanced degree in Computer Science, Engineering, or a related quantitative field.• 5+ years of experience in software development with a focus on AI or machine learning applications.• Proficiency in Python, with experience in frameworks such as TensorFlow, PyTorch, or JAX.• Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for model deployment and monitoring.• Strong problem-solving skills and ability to design end-to-end AI solutions for complex enterprise challenges.More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | IT Services and IT Consulting | Information Services industry, contributing to the development of cutting-edge AI technologies that drive business transformation. The position provides exposure to high-impact projects and the chance to shape the future of enterprise AI solutions.Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.Apply Now!