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Key RequirementsBachelor's Degree in Robotics Engineering, Mechatronics, Mechanical Engineering, Electrical Engineering, Automation Engineering, or related discipline.2 - 4 years of experience in robotics, automation, mechatronics, or industrial automation environments.Experience with robotic system design, integration, testing, commissioning, and maintenance.Familiarity with industrial, automotive, construction, manufacturing, or similar robotic applications.Knowledge of AI-enabled automation, computer vision, machine learning, sensors, control systems, PLCs, and IoT technologies.Exposure to robotic programming, ROS, autonomous systems, and system integration is preferred.Strong troubleshooting, analytical, and problem-solving skills.Good communication and collaboration skills with cross-functional teams.Ability to work in dynamic project environments and support multiple technology initiatives.Job DescriptionSupport the design, implementation, and deployment of robotic and automation solutions for construction and operational environments.Integrate robotic systems with existing workflows, equipment, digital platforms, and operational processes.Assist in commissioning, testing, validation, and performance monitoring of robotic systems.Support AI-enabled automation initiatives, including computer vision and intelligent robotics applications.Monitor system performance and identify opportunities for reliability, efficiency, and productivity improvements.Troubleshoot hardware, software, communication, and control system issues to minimize operational downtime.Conduct preventive maintenance, calibration, and lifecycle management activities for robotics equipment.Participate in pilot projects, proof-of-concept studies, and new technology evaluations.Prepare technical documentation, operating procedures, maintenance records, and performance reports.Collaborate with project teams, technology vendors, and stakeholders to ensure successful implementation and operation of robotic solutions.Ensure compliance with safety standards, risk management requirements, and company policies during system operation.Support continuous improvement initiatives aimed at enhancing productivity, quality, and workplace safety through automation.

🚨 We're Hiring: AI/ML Security Specialist📍 Dubai, UAE (On-site)🏢 ITSEC LLC-FZ🕒 Full-timeDepartment: Offensive Security / VAPTReports to: Head of Penetration Testing-Role SummaryWe're looking for an AI/ML Security Specialist to lead adversarial security testing of AI and machine-learning systems—from LLM applications and generative AI products to traditional ML pipelines. You'll identify how AI systems can be manipulated, leaked, or compromised, and deliver evidence-based findings with practical remediation guidance.-Key Responsibilities▪️ Conduct AI red-teaming engagements for LLMs, generative AI, and ML-driven systems.▪️ Test against the OWASP Top 10 for LLM Applications, including prompt injection, data leakage, insecure output handling, excessive agency, and model DoS.▪️ Assess jailbreaks, guardrail bypasses, safety-filter evasion, and hallucinations.▪️ Evaluate AI attack surfaces including APIs, RAG, embeddings, data ingestion, model integrations, and cloud hosting.▪️ Assess privacy risks involving prompts, logs, caches, embeddings, and third-party services.▪️ Evaluate ML pipeline security, including data poisoning, model theft, adversarial inputs, and supply-chain risks.▪️ Produce technical reports with PoCs, business impact, severity ratings, and remediation guidance.▪️ Collaborate with web, API, network, and cloud security teams.▪️ Continuously improve AI security methodologies and tooling.-Required Qualifications▪️ Hands-on experience testing or red-teaming LLM and generative AI systems.▪️ Strong knowledge of the OWASP LLM Top 10 and prompt injection techniques.▪️ Understanding of ML pipelines, inference, embeddings, fine-tuning, and RAG.▪️ Strong application & API security fundamentals.▪️ Python scripting skills.▪️ Excellent technical reporting and communication skills.Mandatory certification: OSCP, OSWE, CREST (CRT/CCT), GWAPT, GPEN, or eWPTX.-Highly Desirable▪️ OSAI, CAISP, or COASP.▪️ CRTP, OSTP, OSWE, AWS Security, or Azure Security certifications.▪️ Experience with Secure SDLC, DevSecOps, cloud-native security, AI red-teaming tools (Garak, PyRIT), NIST AI RMF, ISO/IEC 42001, AWS/Azure/GCP, container security, multimodal AI, and regulated industries.

We're looking for an experienced Senior Data Scientist to design and deliver data-driven solutions that solve complex business problems and create measurable impact.Working closely with business stakeholders, product teams, and technical experts, you'll transform business challenges into scalable analytical, machine learning, and GenAI solutions. From defining use cases to deploying production-ready models, you'll play a key role in delivering innovative AI solutions that drive better decision-making and customer outcomes.RequirementsWhat You'll Do❏ Collaborate with business stakeholders to identify and prioritize AI and analytics opportunities❏ Translate business requirements into scalable data science and machine learning solutions❏ Validate data availability and define analytical approaches for new use cases❏ Build predictive models, machine learning solutions, and GenAI applications❏ Design robust data pipelines and analytical workflows❏ Apply data processing, feature engineering, and statistical modelling techniques❏ Ensure solutions are scalable, production-ready, and aligned with software engineering and MLOps best practices❏ Present analytical findings and recommendations to technical and executive stakeholders❏ Communicate AI capabilities, feasibility, risks, and expected business value in a clear and practical way❏ Mentor junior team members and support technical delivery across multiple initiativesYou're Our Match If You Have❏ Master's degree in Data Science, Computer Science, Artificial Intelligence, Mathematics, Software Engineering, or a related field❏ 5+ years of hands-on experience delivering data science or machine learning solutions❏ Strong Python programming skills and experience with modern data science libraries❏ Experience building predictive models, machine learning solutions, and GenAI applications❏ Strong understanding of statistics, data modelling, and feature engineering❏ Experience designing scalable data pipelines and production-ready AI solutions❏ Familiarity with MLOps, model deployment, and machine learning lifecycle management❏ Excellent stakeholder management and communication skills❏ Ability to translate complex technical concepts into business valueBonus Points If You Have Experience With❏ Telecommunications or other customer-centric industries❏ Large-scale customer analytics and segmentation❏ Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)❏ Cloud platforms such as Azure, AWS, or Google Cloud❏ Databricks, Spark, or distributed data processing❏ Docker, Kubernetes, or CI/CD pipelines❏ Leading or mentoring technical teams

Director of Artificial IntelligenceDubai - Open to local or international talentWe're partnering with a leading enterprise organisation investing heavily in Generative AI and building a new AI function to drive transformation across the business.This isn't an AI strategy or innovation role.We're looking for someone who has identified AI use cases, built the business case, and taken enterprise GenAI solutions from POC through to production, delivering measurable business value.What You'll Be DoingPartner with senior business leaders to identify high-impact AI opportunitiesOwn the AI lifecycle from Business Problem → POC → Production → ROIWork alongside AI Engineering teams to deliver enterprise AI solutionsDrive stakeholder engagement, adoption, and measurable business outcomesWhat We're Looking For✔ Enterprise GenAI delivery experience✔ Production LLM applications✔ RAG & Agentic AI✔ AI architecture and orchestration✔ Strong executive stakeholder management✔ Proven examples of AI solutions delivering real business impactExperience required:Proven experience delivering enterprise Generative AI solutions from concept through to production deployment.Strong understanding of LLMs, RAG, Agentic AI, AI orchestration frameworks, and modern AI architectures.Demonstrable experience partnering with senior business stakeholders to identify AI use cases and deliver measurable business value.Ability to articulate AI architecture, model selection, evaluation, governance, and production deployment of enterprise AI solutions.Experience within large enterprise environments, ideally across Logistics, Aviation, Retail, Real Estate, or Energy.This Role Is For You If...You can confidently explain why GenAI was the right solution, the architecture behind it, how it was deployed into production, and the commercial value it delivered.

Head of AISmart ManufacturingDubai, United Arab EmiratesPermanent position, on-siteWe are looking for a Head of AI to lead the global enterprise AI agenda, for a company specialising in smart solutions for the utilities industry.RoleDefine the global AI strategyIdentify AI-driven business opportunities across the businessBuild out a Global AI Hub (foundational team already in place)Scale AI solutions across the businessCollaborate with other regions (some travel will be required)Experience required6+ years in technology leadership positionsBeen part of large AI / digital / product transformationsManaged a large team of DS & Engineers both locally and across geographicsExecutive stakeholder engagementTrack record in building AI teams or digital unitsProven background in AI in same or similar industryExperience with modern AI & Data platforms and technologiesPlease apply with your CV and let's arrange a confidential discussion.**Due to high number of applicants, only relevant profiles will be contacted**

Damac Group is hiring Senior Directors – Artificial Intelligence to lead enterprise AI deployment across a multi-vertical business spanning real estate, capital projects, and corporate platforms. This is not an innovation role. This is end-to-end AI delivery at scale.About the Role:You will own the full lifecycle of AI deployment — from identifying high-value use cases through to building, deploying, and scaling production-grade systems across the business.You will lead AI initiatives that drive real operational impact — embedding Traditional AI, Generative AI, and Agentic AI systems into live workflows across the enterprise.Key Impact Areas:Own end-to-end AI delivery — concept → build → production → scaleLead deployment of AI across Sales, Marketing, Capital Projects, and Corporate PlatformsArchitect and implement AI/ML, GenAI, and Agentic AI systems integrated into enterprise workflowsBuild and lead cross-functional AI engineering teams (Product, Data, Engineering)Establish MLOps, deployment standards, and governance frameworksDrive adoption, performance, and measurable business ROI from AI systemsWhat We’re Looking For:10–15+ years in engineering, AI, or large-scale technology deliveryProven track record deploying AI/ML systems into production at enterprise scaleStrong experience with cloud platforms (AWS, Azure, or GCP), APIs, and data pipelinesHands-on understanding of LLMs, orchestration frameworks, and MLOpsExperience leading technical teams and senior stakeholdersAbility to operate 50/50 technical and business-facingPreferred Experience:Exposure to capital projects environments (project controls, procurement, operations) is preferred but not essential.Experience embedding AI into complex, multi-system enterprise environments