general practitioner (gp)

general practitioner -dha (female only) Jobs in Dubai

general practitioner -dha (female only)

general practitioner / gp doctor - home healthcare Jobs in Dubai

hr generalist

general practitioner

ANAYA HEALTH CARE

We are looking for a General PractitionersOpen to Fresher / 1 -2 year UAE-experienced DoctorsMandatory languages - English, Hindi, MultilingualNegotiable SalaryRoles and Responsibility will de discussed at the time of interview.Job Types: Full-time, Permanent

General Practitioner

Call My Doctor Health Care LLC

Job DescriptionCall My Doctor Healthcare is looking for a qualified and compassionate General Practitioner / GP Doctor to join our home healthcare team in Dubai.The doctor will be responsible for providing professional medical consultations, diagnosis, treatment, and patient care at the comfort of patients&rsquo; homes, hotels, and residences across Dubai. The ideal candidate should have strong clinical knowledge, excellent patient communication skills, and experience in handling general medical cases with confidence and care.Key Responsibilities<ul><li>Provide medical consultations and general health assessments for patients at home.</li><li>Diagnose and treat common illnesses, infections, fever, flu, body pain, stomach issues, minor injuries, and general health concerns.</li><li>Prescribe medicines, lab tests, and further investigations when required.</li><li>Assess patient condition and advise appropriate treatment plans.</li><li>Monitor patient vitals and medical history before treatment.</li><li>Identify emergency or high-risk cases and refer patients to hospitals or specialists when necessary.</li><li>Maintain accurate patient records and consultation notes.</li><li>Follow DHA guidelines, medical protocols, and company standards.</li><li>Coordinate with nurses, lab teams, and operations staff for smooth patient care.</li><li>Provide professional, respectful, and patient-friendly service during home visits.</li></ul>Requirements<ul><li>MBBS / Medical degree from a recognized institution.</li><li>Valid DHA License or DHA Eligibility Letter as General Practitioner.</li><li>Minimum 3* years of clinical experience* preferred.</li><li>Experience in home healthcare, clinic, hospital, or urgent care is an advantage.</li><li>Strong knowledge of general medicine and primary care.</li><li>Good communication skills in English.</li><li>Ability to handle patients professionally and calmly.</li><li>Must be available for home visits across Dubai.</li><li>UAE experience will be an added advantage.</li></ul>Preferred Skills<ul><li>Experience in doctor-on-call or home healthcare services.</li><li>Ability to manage adult and pediatric general cases.</li><li>Basic emergency response knowledge.</li><li>BLS certification preferred.</li><li>Good bedside manner and patient-handling skills.</li><li>Ability to work with flexible shifts.</li></ul>What We Offer<ul><li>Competitive salary based on experience.</li><li>Professional and supportive healthcare team.</li><li>Opportunity to work with a growing home healthcare company in Dubai.</li><li>Flexible duty options depending on role type.</li><li>Exposure to premium home healthcare and patient care services.</li></ul>Work Location: In person

General Practitioner / GP Doctor - Home Healthcare

Vtricks Technologies 

Job Title: AWS Cloud Engineer (4&ndash;7 Years)Location: Dubai Experience: 4&ndash;7 Years Employment Type: Full-TimeAbout the RoleWe are looking for a skilled AWS Cloud Engineer to join our growing team in Dubai. The ideal candidate should have strong hands-on experience in designing, deploying, and managing cloud-native applications and infrastructure on AWS. You will work closely with development and DevOps teams to build scalable, secure, and highly available cloud solutions while driving automation and operational excellence.Key Responsibilities<ul><li>Design, deploy, and manage scalable cloud infrastructure on AWS.</li><li>Work extensively with AWS services such as EC2, VPC, IAM, S3, RDS, ELB/ALB, Route 53, CloudWatch, and CloudFormation.</li><li>Build, deploy, and support microservices-based applications.</li><li>Develop and maintain CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, or similar tools.</li><li>Containerize applications using Docker and manage Kubernetes clusters (EKS preferred).</li><li>Implement Infrastructure as Code (IaC) using Terraform or CloudFormation.</li><li>Collaborate with development teams to integrate backend services and REST APIs.</li><li>Monitor infrastructure, troubleshoot production issues, and optimize system performance.</li><li>Implement cloud security best practices, IAM policies, authentication, and access controls.</li><li>Work with messaging systems such as Kafka, RabbitMQ, or IBM MQ for event-driven architectures.</li><li>Ensure high availability, scalability, and disaster recovery for cloud applications.</li><li>Participate in Agile/Scrum ceremonies and support continuous improvement initiatives.</li></ul>Required Skills<ul><li>4&ndash;7 years of experience in AWS Cloud Engineering, DevOps, or Cloud Infrastructure.</li><li>Strong hands-on experience with AWS core services (EC2, VPC, IAM, S3, RDS, ELB, CloudWatch).</li><li>Experience with Docker and Kubernetes (EKS preferred).</li><li>Strong understanding of Microservices Architecture and REST APIs.</li><li>Experience building and maintaining CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, or similar.</li><li>Hands-on experience with Infrastructure as Code (Terraform preferred).</li><li>Knowledge of event-driven architecture and messaging platforms such as Kafka, RabbitMQ, or IBM MQ.</li><li>Proficiency in at least one programming language (Python, Node.js, or .NET).</li><li>Good understanding of IAM, OAuth2, cloud security, and authentication mechanisms.</li><li>Experience with monitoring and logging tools such as ELK Stack, CloudWatch, Prometheus, or Grafana.</li><li>Strong troubleshooting, analytical, and problem-solving skills.</li></ul>Good to Have<ul><li>AWS Certifications (AWS Solutions Architect Associate, AWS Cloud Practitioner, or equivalent).</li><li>Exposure to Azure, GCP, or OCI.</li><li>Experience working in Banking, FinTech, or other regulated industries.</li><li>Knowledge of DevSecOps practices and security automation.</li><li>Experience with Agile/Scrum development methodologies.</li></ul>Preferred Qualifications<ul><li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li><li>Excellent communication and stakeholder management skills.</li><li>Ability to work independently in a fast-paced, collaborative environment.</li></ul>Why Join Us?<ul><li>Opportunity to work on enterprise-scale cloud transformation projects.</li><li>Exposure to modern cloud-native technologies and DevOps practices.</li><li>Collaborative work environment with opportunities for continuous learning and career growth.</li><li>Competitive compensation and benefits.</li></ul>Pay: AED3,755.12 - AED16,307.19 per monthApplication Question(s):<ul><li>What is your notice period in days?</li></ul>Experience:<ul><li>AWS Cloud Engineering, DevOps, or Cloud Infrastructure: 4 years (Required)</li></ul>Location:<ul><li>Dubai (Required)</li></ul>Work Location: In person

AWS Cloud Engineer (4–7 Years)

talabat

<div>
 
 A Little Bit About Talabat
 
 
 
 talabat is the leading online food and groceries ordering platform in MENA, operating in 9 countries across the region. Founded in 2004 by a small group of entrepreneurs in Kuwait, talabat&rsquo;s success expanded to the rest of the GCC region, Egypt &amp; Jordan, making it the largest and most popular food ordering app. With over 2,000+ employees and millions of users, we deliver hundreds of thousands of orders every day.
 
 
 We are part of the Delivery Hero network building the next generation of online delivery platforms across the globe. Our network is truly international with engineering teams in 13 countries and operations in 40+ countries.
 
 
 
 Job Description
 
 
 
 
 Role Overview
 
 
 
 We are seeking a Senior Security Engineer to operate as a core cloud security practitioner within a large, enterprise-scale environment. This role focuses on engineering, operating and continuously improving cloud security controls across AWS and GCP, while adhering to corporate security standards, regulatory requirements and risk management processes.
 
 
 The role is hands-on and execution-oriented, with accountability for control effectiveness, operational stability and risk reduction, working in close partnership with Cloud Platform (GDP), SRE, Architecture and GRC teams.
 
 
 
 Key Responsibilities
 
 
 
 Enterprise Cloud Security Controls
 
 
 <ul>
 <li>
 Implement, operate and continuously improve enterprise-grade cloud security controls across AWS and GCP organizations.
 </li>
 <li>
 Enforce security baselines for accounts/projects, networking, IAM, encryption and logging.
 </li>
 <li>
 Maintain alignment with enterprise security architecture, policies and control frameworks.
 </li>
 <li>
 Support standardized cloud landing zones and guardrails.
 
 
 </li>
 </ul>
 Identity &amp; Access Governance
 
 
 <ul>
 <li>
 Design and operate scalable IAM models including role-based access, service identities and federated access.
 </li>
 <li>
 Enforce least privilege through periodic access reviews, CIEM insights and remediation workflows.
 </li>
 <li>
 Partner with global IAM and platform teams to ensure consistent access governance across cloud environments.
 
 
 </li>
 </ul>
 Security Tooling &amp; Automation
 
 
 <ul>
 <li>
 Operate and tune cloud security platforms (CSPM, CIEM, CWPP, native AWS/GCP services).
 </li>
 <li>
 Drive remediation of findings through automation, pipelines, and infrastructure-as-code rather than manual fixes.
 </li>
 <li>
 Contribute to global security practices, policies and reusable Terraform components.
 
 
 </li>
 </ul>
 Detection, Logging &amp; Incident Response
 
 
 <ul>
 <li>
 Ensure comprehensive cloud audit logging, telemetry and alerting are enabled and monitored.
 </li>
 <li>
 Support investigation and response to cloud-related security incidents, following enterprise IR processes.
 </li>
 <li>
 Perform root cause analysis and contribute to post-incident improvements and control enhancements.
 
 
 </li>
 </ul>
 Risk Management &amp; Compliance Enablement
 
 
 <ul>
 <li>
 Support enterprise compliance programs (e.g., PCI DSS, NIST, SOC-2) by mapping requirements to cloud controls.
 </li>
 <li>
 Participate in threat modeling and risk assessments for cloud services and platforms.
 </li>
 <li>
 Provide evidence and technical validation during audits and security assessments.
 
 
 </li>
 </ul>
 Engineering Partnership &amp; Enablement
 
 
 <ul>
 <li>
 Act as a trusted security partner to engineering and platform teams.
 </li>
 <li>
 Review cloud architecture designs and major changes for security risk.
 </li>
 <li>
 Provide authoritative guidance on secure use of AWS and GCP services at enterprise scale.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Experience &amp; Skills
 
 
 
 Cloud Security Expertise
 
 
 <ul>
 <li>
 Strong hands-on experience securing AWS and GCP in large, multi-account / multi-project environments.
 </li>
 <li>
 Deep knowledge of:
 </li>
 <ul>
 <li>
 Cloud IAM, federation and access governance
 </li>
 <li>
 Network segmentation, private connectivity and perimeter controls
 </li>
 <li>
 Centralized logging, monitoring and audit trails
 </li>
 <li>
 Encryption, key management and data protection
 </li>
 <li>
 Proven experience with Infrastructure as Code
 </li>
 <li>
 Enterprise Security Operations
 </li>
 <li>
 Experience operating security controls under formal policies, standards and risk frameworks.
 </li>
 <li>
 Familiarity with enterprise change management, incident response and audit processes.
 </li>
 <li>
 Ability to translate security requirements into implementable &amp; measurable controls.
 
 </li>
 </ul>
 </ul>
 Professional Attributes
 
 
 <ul>
 <li>
 7+ years of experience in security engineering, with a strong cloud focus.
 </li>
 <li>
 Demonstrated ability to operate independently as a senior individual contributor.
 </li>
 <li>
 Strong written documentation and verbal communication skills.
 </li>
 <li>
 Comfortable working across time zones and with globally distributed teams
 </li>
 </ul>
</div>

Senior Security Engineer  – Cloud Security

Ministry of Economy & Tourism

<div>
 
 
 الهدف العام للوظيفة
 
 
 
 خبير في الذكاء الاصطناعي ضمن قسم الذكاء الاصطناعي في الوزارة، يتولى ضمان نشر أنظمة الذكاء الاصطناعي بصورة فعّالة وأخلاقية وقابلة للتوسع عبر عمليات الوزارة. يجسّر هذا الدور الفجوة بين القدرات التقنية للذكاء الاصطناعي والاحتياجات المؤسسية الحيوية، من خلال الإشراف البشري المتمحور حول الإنسان وحوكمة الأنظمة وتحسينها المستمر. يجمع هذا المنصب بين العمق التقني ومعرفة الأعمال وإدارة أصحاب المصلحة وقيادة التغيير لضمان استدامة تطبيقات الذكاء الاصطناعي وتحقيقها لقيمة مؤسسية قابلة للقياس
 
 
 
 المسؤوليات الرئيسية
 
 
 <ul>
 <li>
 تحديد متطلبات البيانات الجاهزة للذكاء الاصطناعي والإشراف عليها بما يشمل بيانات التدريب وبيانات الإدخال التشغيلية ونماذج القرار، وضمان جودتها واتساقها.
 </li>
 <li>
 تصميم وإدارة سير عمل الإشراف البشري-الآلي (Human-in-the-Loop) للتحقق من مخرجات الذكاء الاصطناعي قبل النشر التشغيلي.
 </li>
 <li>
 مراقبة دقة نماذج الذكاء الاصطناعي ومستويات الثقة والكشف عن انحراف الأداء للحفاظ على الفاعلية التشغيلية وضمان الاستمرارية.
 </li>
 <li>
 اختبار وكلاء الذكاء الاصطناعي وتدريبهم من خلال آليات التغذية الراجعة وهندسة الطلبات وبروتوكولات التعلم الخاضع للإشراف.
 </li>
 <li>
 تطوير وتطبيق أطر حوكمة الذكاء الاصطناعي والمبادئ التوجيهية الأخلاقية وسياسات الامتثال المتوافقة مع اللوائح الحكومية المعتمدة.
 </li>
 <li>
 المشاركة في تصنيف تطبيقات الذكاء الاصطناعي حسب مستوى مخاطرها وتأثيرها، وإرساء معايير رقابة متدرجة تتناسب مع درجة خطورة كل تطبيق.
 </li>
 <li>
 قيادة الإشراف على الموردين وحوكمة العقود لضمان السلطة التقنية والشفافية ومنع الاحتكار التقني من قِبل الموردين.
 </li>
 <li>
 تحديد مخاطر الذكاء الاصطناعي والتخفيف منها بما تشمل عدم موضوعية النموذج في نتائجه، ومحاولات التلاعب بالنموذج، وإفساد بيانات التدريب، وتراجع أداء النماذج بمرور الوقت.
 </li>
 <li>
 تصميم وقيادة برامج التثقيف في الذكاء الاصطناعي للمطورين والمستخدمين وأصحاب المصلحة المتأثرين بتطبيقات الذكاء الاصطناعي عبر الوزارة.
 </li>
 <li>
 إرشاد فرق العمل المشتركة وتنسيق التعاون متعدد التخصصات بين فرق تطوير الحلول والهندسة والتشغيل والأعمال.
 </li>
 <li>
 ترجمة القدرات والقيود التقنية لأنظمة الذكاء الاصطناعي إلى توصيات عملية وتوجيهات واضحة تُمكّن الإدارة وأصحاب المصلحة من اتخاذ قرارات مدروسة.
 </li>
 <li>
 تحديد مؤشرات أداء نماذج الذكاء الاصطناعي ومتابعتها بما تشمل نسبة الدقة، ودرجة يقين النموذج، ومعدلات قبول المخرجات، ومؤشرات انحراف الأداء، وإعداد التقارير الدورية.
 </li>
 <li>
 إدارة حلقات التغذية الراجعة من مستخدمي الذكاء الاصطناعي والفرق التشغيلية لتحسين النماذج والعمليات باستمرار.
 </li>
 <li>
 تحديد حالات استخدام الذكاء الاصطناعي الناشئة والتوصية بتحسينات على سير العمل والواجهات لتحقيق أقصى قيمة مؤسسية.
 </li>
 <li>
 دعم التوسع في نشر تطبيقات الذكاء الاصطناعي عبر الوزارة من خلال توحيد المعايير، وبناء قوالب وأدوات جاهزة قابلة لإعادة الاستخدام، وتوثيق أفضل الممارسات لضمان الاتساق والكفاءة.
 </li>
 <li>
 التعامل مع عزوف الموظفين وترددهم في تبني الذكاء الاصطناعي من خلال ربط تطبيقاته بواقع عمل كل فريق، وبناء الثقة، وتعزيز الانفتاح لتسريع تبني الحلول الذكية.
 </li>
 <li>
 بناء شبكات تبادل المعرفة والخبرات في مجال الذكاء الاصطناعي عبر الجهات الحكومية، وتعزيز التعاون ومشاركة أفضل الممارسات بين الكوادر المتخصصة.
 </li>
 <li>
 التحقق من مخرجات نماذج الذكاء الاصطناعي وتحديد الحالات الحدية والاستثنائية، وتطبيق الحكم البشري المدروس في القرارات المعقدة لضمان موثوقية الأنظمة ودقتها.
 </li>
 <li>
 تنفيذ أي مهام أخرى يكلف بها رئيس القسم في نطاق اختصاصه.
 </li>
 </ul>
 
 
 المؤهلات والخبرة
 
 
 <ul>
 <li>
 دكتوراه - علوم الحاسب / الذكاء الاصطناعي / هندسة / إحصاء أو ما يعادلها (بدون خبرة)
 </li>
 <li>
 ماجستير - علوم الحاسب / الذكاء الاصطناعي / علوم البيانات / هندسة أو ما يعادلها (3 سنوات خبرة)
 </li>
 <li>
 بكالوريوس - علوم الحاسب / الذكاء الاصطناعي / هندسة الحاسوب / إحصاء أو ما يعادلها (7 سنوات خبرة)
 </li>
 </ul>
 
 
 الشهادات المهنية
 
 
 <ul>
 <li>
 شهادة معتمدة في الذكاء الاصطناعي وتعلم الآلة على المنصات السحابية مثل Google Cloud Professional ML Engineer / AWS Machine Learning Specialty / Microsoft Azure AI Engineer Associate
 </li>
 <li>
 شهادة في نماذج اللغة الكبيرة وهندسة الطلبات مثل DeepLearning.AI Generative AI / Prompt Engineering Specialization
 </li>
 <li>
 شهادة في حوكمة الذكاء الاصطناعي وأخلاقياته مثل IAPP AI Governance Professional / ISO 42001 Lead Implementer)
 </li>
 <li>
 شهادة في علوم البيانات وهندستها مثل IBM Data Science Professional / Databricks Data Engineer Associate)
 </li>
 <li>
 شهادة في تشغيل نماذج الذكاء الاصطناعي مثل MLflow MLOps Certified / Kubeflow Practitioner / DataRobot MLOps
 </li>
 <li>
 شهادة في أمن الذكاء الاصطناعي والهجمات المعادية مثل Certified AI Security Professional / OWASP AI Security
 </li>
 <li>
 شهادة في إدارة المشاريع وقيادة التغيير أو ما يعادلها PMP / PRINCE2 / Prosci Change Management
 </li>
 <li>
 دورة في تصميم سير العمل الإنساني-الآلي (Human-in-the-Loop) واختبار النماذج وتقييم الانجراف
 </li>
 <li>
 دورة في بنية بيانات الذكاء الاصطناعي ورسم خرائط المعرفة (Knowledge Graphs / Data Mapping)
 </li>
 <li>
 دورة في قياس أداء نماذج الذكاء الاصطناعي ومؤشرات الدقة ومعدلات القبول
 </li>
 <li>
 دورة في أساسيات أمن المعلومات وحماية البيانات في بيئات الذكاء الاصطناعي الحكومية
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Job Purpose
 
 
 
 Serve as an Artificial Intelligence (AI) expert within the Ministry's AI Department, responsible for ensuring the effective, ethical, and scalable deployment of AI systems across the Ministry's operations. This role bridges the gap between AI technical capabilities and critical business needs through human-centered oversight, AI governance, and continuous optimization. The position combines deep technical expertise with business knowledge, stakeholder management, and change leadership to ensure AI applications remain sustainable and deliver measurable organizational value.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Define and oversee AI-ready data requirements, including training datasets, operational input data, and decision models, while ensuring data quality, consistency, and integrity.
 </li>
 <li>
 Design and manage Human-in-the-Loop (HITL) workflows to validate AI outputs before operational deployment.
 </li>
 <li>
 Monitor AI model accuracy, confidence levels, and performance drift to maintain operational effectiveness and ensure service continuity.
 </li>
 <li>
 Test and train AI agents using feedback mechanisms, prompt engineering, and supervised learning protocols.
 </li>
 <li>
 Develop and implement AI governance frameworks, ethical guidelines, and compliance policies aligned with approved government regulations.
 </li>
 <li>
 Participate in classifying AI applications according to their risk and impact levels and establish proportionate control measures based on the level of risk.
 </li>
 <li>
 Lead vendor oversight and contract governance to ensure technical ownership, transparency, and prevent vendor lock-in.
 </li>
 <li>
 Identify and mitigate AI-related risks, including model bias, adversarial attacks, training data poisoning, and model performance degradation over time.
 </li>
 <li>
 Design and lead AI awareness and education programs for developers, end users, and stakeholders affected by AI implementations across the Ministry.
 </li>
 <li>
 Guide cross-functional teams and coordinate multidisciplinary collaboration among solution development, engineering, operations, and business teams.
 </li>
 <li>
 Translate the technical capabilities and limitations of AI systems into practical recommendations and clear guidance to support informed decision-making by management and stakeholders.
 </li>
 <li>
 Define and monitor AI model performance metrics, including accuracy rates, confidence scores, output acceptance rates, and model drift indicators, and prepare periodic performance reports.
 </li>
 <li>
 Manage feedback loops from AI users and operational teams to continuously improve AI models and business processes.
 </li>
 <li>
 Identify emerging AI use cases and recommend workflow and user interface enhancements to maximize organizational value.
 </li>
 <li>
 Support the enterprise-wide scaling of AI applications by standardizing practices, developing reusable templates and tools, and documenting best practices to ensure consistency and efficiency.
 </li>
 <li>
 Address employee resistance and hesitation toward AI adoption by aligning AI solutions with team-specific business needs, building trust, and promoting openness to accelerate the adoption of intelligent solutions.
 </li>
 <li>
 Build knowledge-sharing networks and AI communities of practice across government entities, fostering collaboration and the exchange of best practices among AI professionals.
 </li>
 <li>
 Validate AI model outputs, identify edge cases and exceptional scenarios, and apply sound human judgment in complex decision-making to ensure the reliability and accuracy of AI systems.
 </li>
 <li>
 Perform any other duties assigned by the Head of the AI Department within the scope of the role.
 </li>
 </ul>
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 PhD in Computer Science, Artificial Intelligence, Engineering, Statistics, or a related field (no experience required).
 </li>
 <li>
 Master's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field (minimum 3 years of relevant experience).
 </li>
 <li>
 Bachelor's Degree in Computer Science, Artificial Intelligence, Computer Engineering, Statistics, or a related field (minimum 7 years of relevant experience).
 </li>
 </ul>
 
 
 Professional Certifications
 
 
 <ul>
 <li>
 Professional certification in Artificial Intelligence and Machine Learning on cloud platforms, such as
 
 Google Cloud Professional Machine Learning Engineer
 
 ,
 
 AWS Machine Learning Specialty
 
 , or
 
 Microsoft Azure AI Engineer Associate
 
 .
 </li>
 <li>
 Certification in Large Language Models (LLMs) and Prompt Engineering, such as
 
 DeepLearning.AI Generative AI Specialization
 
 or
 
 Prompt Engineering Specialization
 
 .
 </li>
 <li>
 Certification in AI Governance and Ethics, such as
 
 IAPP AI Governance Professional (AIGP)
 
 or
 
 ISO/IEC 42001 Lead Implementer
 
 .
 </li>
 <li>
 Certification in Data Science and Data Engineering, such as
 
 IBM Data Science Professional Certificate
 
 or
 
 Databricks Data Engineer Associate
 
 .
 </li>
 <li>
 Certification in AI Operations (MLOps), such as
 
 MLflow MLOps Certified
 
 ,
 
 Kubeflow Practitioner
 
 , or
 
 DataRobot MLOps
 
 .
 </li>
 <li>
 Certification in AI Security and Adversarial AI, such as
 
 Certified AI Security Professional
 
 or
 
 OWASP AI Security
 
 .
 </li>
 <li>
 Certification in Project Management and Change Leadership, such as
 
 PMP
 
 ,
 
 PRINCE2
 
 , or
 
 Prosci Change Management
 
 .
 </li>
 <li>
 Training course in
 
 Human-in-the-Loop (HITL)
 
 workflow design, AI model testing, and model drift evaluation.
 </li>
 <li>
 Training course in AI data architecture, data mapping, and knowledge graphs.
 </li>
 <li>
 Training course in AI model performance measurement, including accuracy metrics, confidence scores, and output acceptance rates.
 </li>
 <li>
 Training course in information security fundamentals and data protection in government AI environments.
 </li>
 </ul>
 
 
 
</div>

خبير الذكاء الاصطناعي - Artificial Intelligence Expert

Boltfix Technical Services LLC

Job Title: General Helper Location: Dubai, UAEWe are hiring General Helpers. Candidates should be physically fit, hardworking, and able to communicate in basic English. Previous experience is an advantage but not required. Immediate joiners are preferred.Benefits: Competitive salary, accommodation, transportation, visa, medical insurance, and career growth.Apply now! Send your CV via WhatsApp to 056 460 6993.Work Location: In person

General Helper

Hyperclean Technical Services

Company: Hyperclean Technical Services L.L.C. Location: Dubai, UAE Employment Type: Full-timeAbout the Role We are seeking a versatile Multi-Technician cum Driver to handle a range of general maintenance and technical tasks across sites, while also managing the safe transport of team members, tools, and materials. The ideal candidate is hands-on across multiple trades, dependable behind the wheel, and comfortable working independently.Key Responsibilities<ul><li>Carry out general technical and maintenance work (basic plumbing, electrical, carpentry, painting, and minor repairs)</li><li>Assist specialist teams on cleaning, restoration, and maintenance jobs as needed</li><li>Drive company vehicles to transport staff, tools, and materials safely to and from sites</li><li>Load, unload, and account for tools, equipment, and materials</li><li>Maintain the vehicle in good condition (cleanliness, fuel, basic checks, timely servicing)</li><li>Ensure all jobs and journeys are completed safely and on schedule</li><li>Follow HSE standards and report any issues or damage to management</li></ul>Requirements<ul><li>2+ years' experience in general maintenance / multi-technical work</li><li>Valid UAE driving licence with a clean record (essential)</li><li>Practical knowledge across multiple trades (plumbing, electrical, handyman tasks)</li><li>Good knowledge of Dubai/UAE roads and routes</li><li>Physically fit, flexible, and able to work independently</li><li>Basic English communication skills</li></ul>What We Offer<ul><li>Competitive salary (based on experience)</li><li>Visa, and benefits as per UAE Labour Law</li><li>Opportunity to work with an established, growing brand</li></ul>Pay: AED2,500.00 - AED3,500.00 per monthWork Location: In person

Multi Technician cum Driver

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