ai expert for plant data model (pdm project)

oas team lead (oracle analytics server & bi delivery activities) arabic speaker

officer – mea bureaus administration igs

ai applications ops lead, gps Jobs in Doha

ai applications ops lead, gps

ai expert for plant data model (pdm project) Jobs in Doha

ai project manager

ai solutions architect

ai machine learning lead

Team Moxim

Job Opportunity: AI Solutions ArchitectLocation: Mesaieed, Qatar Company: Team MoximAbout UsTeam Moxim is a cutting-edge technology company specializing in artificial intelligence, machine learning, and digital transformation solutions. With a strong presence in Mesaieed, we empower businesses to harness AI for smarter decision-making, operational efficiency, and innovation. As we expand, we are seeking a visionary AI Solutions Architect to design and deliver advanced AI-driven systems.Role OverviewWe are looking for an AI Solutions Architect to lead the design, development, and deployment of AI solutions. This role requires a professional with deep expertise in AI technologies, cloud platforms, and enterprise integration. You will be responsible for shaping Team Moxim&rsquo;s AI strategy, ensuring scalable solutions, and driving innovation across industries.Key Responsibilities<ul><li>Design and architect AI solutions tailored to client needs.</li><li>Oversee development and deployment of machine learning models and AI applications.</li><li>Collaborate with business leaders and technical teams to align AI strategy with organizational goals.</li><li>Ensure compliance with data governance, security standards, and ethical AI practices.</li><li>Monitor KPIs, system performance, and solution effectiveness.</li><li>Manage resources, budgets, and vendor relationships.</li><li>Lead and mentor AI engineers and data scientists.</li><li>Represent Team Moxim in AI industry forums, conferences, and professional networks.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>8+ years of experience in AI/ML solution design, with at least 3 years in an architect-level role.</li><li>Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>Experience with cloud platforms (AWS, Azure, Google Cloud) and enterprise integration.</li><li>Proven track record of delivering scalable AI solutions.</li><li>Excellent leadership, organizational, and communication skills.</li><li>Ability to thrive in a fast-paced, innovation-driven environment.</li></ul>Why Join Us?<ul><li>Lead AI initiatives at one of Qatar&rsquo;s premier technology innovators.</li><li>Play a key role in shaping Team Moxim&rsquo;s digital future.</li><li>Competitive salary and benefits package.</li><li>Opportunities for career growth and professional development.</li><li>Collaborative and forward-thinking work culture.</li></ul>Pay: Up to QAR32,000.00 per monthWork Location: In person

AI Solutions Architect

Forvis Mazars in Qatar

<div>Job responsibilities: 
<ul><li>Responsible for overall design, operation, maintenance and continuous improvement of the data, analytics and artificial intelligence platforms used by the Security Operations Center (further referenced as SOC). Responsibilities and duties are planned as follows:</li></ul>

<ul><li>Continuous maintenance of the data pipelines, analytics platforms and AI models used by the Security Operations Center; including data ingestion, normalization, feature extraction, model training and deployment.</li></ul>

<ul><li>Ensuring the overall health of the SOC data platform, analytics engines, machine learning models, and AI-assisted detection systems.</li></ul>

<ul><li>Manage verification, validation, tuning, and quality of security telemetry including logs, NetFlow/IPFIX, EDR data, threat intelligence feeds and other SOC data sources.</li></ul>

<ul><li>Develop, train, validate and tune machine learning and analytics models used for:</li></ul>

<ul><li>Anomaly detection</li></ul>

<ul><li>Threat classification</li></ul>

<ul><li>Behavioral analysis</li></ul>

<ul><li>Alert prioritization and risk scoring</li></ul>

<ul><li>Deploy and tune detection models and analytic use cases driven by security intelligence, threat hunting and incident response requirements.</li></ul>

<ul><li>Implement analytic use cases as required by Security Intelligence, Tier-2 and Tier-3 teams.</li></ul>

<ul><li>Manage and coordinate data source onboarding, integration, normalization, enrichment and troubleshooting for all SOC telemetry sources.</li></ul>

<ul><li>Manage access and permissions for data platforms, analytics environments and AI systems used by the SOC.</li></ul>

<ul><li>Ensure that security data sources are correctly feeding the analytics and AI platforms.</li></ul>

<ul><li>Generate analytical reports, dashboards and model outputs as required by SOC management, threat hunting and incident response teams.</li></ul>

<ul><li>Configuration, management, performance tuning and capacity planning of SOC data, analytics and AI platforms.</li></ul>

<ul><li>Support proof-of-concepts (POCs) for new SOC data sources, analytics techniques and AI-driven security capabilities.</li></ul>

<ul><li>Review vendor, open-source and research developments in security analytics, machine learning and AI relevant to SOC operations.</li></ul>

<ul><li>Should have good knowledge of systems, solutions and security tools and skills as follows:</li></ul>

<ul><li>Knowledge of MS Windows and UNIX-based systems.</li></ul>

<ul><li>Knowledge of data engineering and big-data platforms (data pipelines, stream processing, data lakes).</li></ul>

<ul><li>Knowledge of security telemetry including SIEM data models, NetFlow/IPFIX, EDR telemetry and threat intelligence formats.</li></ul>

<ul><li>Knowledge of machine learning and analytics techniques including anomaly detection, classification, clustering and statistical modeling.</li></ul>

<ul><li>Knowledge of AI-driven SOC technologies including LLM-based assistants, automated enrichment and detection analytics.</li></ul>

<ul><li>Familiarity with MITRE ATT&amp;CK, incident response lifecycle and threat hunting methodologies.</li></ul>

<ul><li>Problem-solving skills to identify data quality, detection gaps and model performance issues.</li></ul>

<ul><li>Communication with SOC teams (Tier-1, Tier-2, Tier-3) to align analytics and AI capabilities with operational needs.</li></ul>

<ul><li>Communication with vendors and data providers related to SOC analytics, telemetry and AI platforms.</li></ul>

Required certifications in:

<ul><li>Data engineering, analytics or AI platforms (Cloudera, Databricks, AWS, Azure, GCP, etc.)</li></ul></div>

CSOC Data Analyst L2

Al Adyat consultancy

Job Profile: AI Expert for Plant Data Model (PDM Project)Job SummaryWe are seeking a highly skilled AI Expert to design, build, and operationalize AI/ML solutions that deliver measurable business outcomes. The ideal candidate combines deep machine learning expertise with strong software engineering practices, MLOps proficiency, and stakeholder collaboration. This role will lead end-to-end projects&mdash;from problem framing and data acquisition to model development, deployment, monitoring, and continuous improvement&mdash;while ensuring compliance with security, privacy, and governance policies.Key Responsibilities&middot; Partner with business stakeholders to translate strategic objectives into AI use cases with clear KPIs and ROI.&middot; Own the full ML lifecycle: data sourcing, feature engineering, model selection, training, evaluation, and production deployment.&middot; Implement robust MLOps: CI/CD for ML, model registry, automated testing, reproducible pipelines, and monitoring (drift, performance, fairness).&middot; Design scalable data/feature pipelines using best practices for data quality, lineage, and governance.&middot; Develop models across domains (e.g., predictive analytics, time series, NLP, computer vision, recommender systems).&middot; Optimize models for efficiency and cost across CPU/GPU, leveraging quantization, distillation, or serving optimizations.&middot; Deploy and maintain models on cloud and on-prem platforms; orchestrate with containers and microservices (Docker/Kubernetes).&middot; Establish and enforce responsible AI practices: privacy-preserving methods, bias detection/mitigation, explainability, and secure handling of data.&middot; Produce high-quality documentation: design docs, runbooks, experiment logs, and user guides; present results to technical and non-technical audiences.&middot; Mentor engineers and analysts; contribute to standards, templates, and reusable components within the AI platform.Minimum Qualifications&middot; Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, or related field (or equivalent experience).&middot; 5+ years building and deploying ML models in production environments.&middot; Strong programming skills in Python and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).&middot; Hands-on experience with data processing frameworks (e.g., Pandas, Spark), SQL/NoSQL databases, and feature stores.&middot; Proficiency in MLOps tooling (e.g., MLflow, DVC, Kubeflow, Airflow) and CI/CD for ML.&middot; Experience deploying to cloud platforms (e.g., Azure Machine Learning, AWS SageMaker, GCP Vertex AI) and container orchestration (Docker/Kubernetes).&middot; Solid understanding of statistics, experiment design (A/B testing), and model validation techniques.&middot; Excellent communication and stakeholder management skills; ability to articulate complex concepts clearly.Preferred Qualifications&middot; Master&rsquo;s or PhD in a quantitative field.&middot; Experience with NLP (transformers, LLMs, RAG) and computer vision (CNNs, detection/segmentation).&middot; Exposure to time-series forecasting, optimization, and reinforcement learning for industrial use cases.&middot; Experience with Azure ecosystem (Azure ML, Databricks, Data Factory, Synapse) and enterprise integration patterns.&middot; Familiarity with privacy-preserving techniques (differential privacy, federated learning) and model interpretability (SHAP, LIME).&middot; Track record of delivering AI solutions in manufacturing, energy, or operations (e.g., predictive maintenance, process optimization).Technical Stack &amp; Tools&middot; Languages: Python (preferred), SQL; familiarity with C++/Java is a plus.&middot; ML/AI: scikit-learn, TensorFlow, PyTorch, XGBoost, Hugging Face; experiment tracking (MLflow).&middot; Data: Pandas, Spark, Delta/Parquet; data versioning (DVC); feature stores.&middot; Pipelines &amp; Orchestration: Airflow, Prefect, Kubeflow; Docker/Kubernetes for serving.&middot; Monitoring &amp; Observability: Prometheus/Grafana; model drift/performance monitoring tools.&middot; DevOps: Git, GitHub/GitLab, CI/CD, testing frameworks (pytest).&middot; Cloud: Azure (preferred), AWS, GCP; serverless and managed ML services.Core Competencies &amp; Soft Skills&middot; Business acumen with the ability to prioritize use cases based on value and feasibility.&middot; Structured problem solving and hypothesis-driven experimentation.&middot; Clear written and verbal communication, storytelling with data, and visualization skills.&middot; Collaboration and mentorship across cross-functional teams (engineering, operations, compliance).&middot; Ownership mindset with a focus on reliability, safety, and continuous improvement.AI Governance, Security &amp; Compliance&middot; Adhere to corporate data governance policies, security standards, and regulatory requirements (e.g., GDPR where applicable).&middot; Implement role-based access controls, encryption, secure secrets management, and audit trails across the ML stack.&middot; Ensure models meet fairness, transparency, and explainability guidelines; conduct regular risk assessments and reviews.Success Criteria &amp; KPIs&middot; Cycle time from ideation to production (weeks).&middot; Model performance against business KPIs (e.g., accuracy, precision/recall, uplift, cost savings).&middot; Operational reliability (SLA adherence, downtime, incident rate).&middot; Adoption and user satisfaction for AI-enabled products and workflows.Compliance metrics (governance checks passed, audits completed).Job Type: Full-timePay: From QAR15,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI Expert for Plant Data Model (PDM Project) : 3 years (Required)</li></ul>Language:<ul><li>Arabic (Required)</li><li>English (Required)</li></ul>License/Certification:<ul><li>degree in computer science, Data Science (Required)</li></ul>Location:<ul><li>Doha (Required)</li></ul>

AI Expert for Plant Data Model (PDM Project)

Snoonu

<div>
 
 🚀 Welcome to Your Next Adventure!
 
 
 
 We are looking for an experienced
 
 AI Project Manager
 
 to facilitate the successful delivery of AI and ML initiatives. In this role, you will coordinate cross-team integrations and communications, manage timelines, and ensure projects are delivered on schedule, within budget, and in line with defined objectives. You will also monitor key metrics and track the status of integrations to ensure seamless execution.
 
 
 
 🛠 What You&rsquo;ll Get Your Hands On
 
 
 
 <ul>
 <li>
 Support end-to-end project delivery, ensuring timelines, budgets, and objectives are met.
 </li>
 <li>
 Coordinate cross-functional teams and internal integrations, enabling clear and efficient collaboration.
 </li>
 <li>
 Plan project schedules, track progress, and proactively identify and manage risks.
 </li>
 <li>
 Serve as the initial point of contact for stakeholders, providing clear updates and managing expectations.
 </li>
 <li>
 Ensure smooth integration of AI initiatives with broader organizational projects and processes.
 </li>
 <li>
 Promote best practices in project delivery, documentation, and continuous improvement.
 
 
 </li>
 </ul>
 
 🧙&zwj;&male;️ The Magic You Bring
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Project Management.
 </li>
 <li>
 Strong familiarity with core technology concepts, from architecture to delivery workflows.
 </li>
 <li>
 Hands-on experience navigating end-to-end AI/ML project lifecycles, from scoping and data readiness to deployment and iteration.
 </li>
 <li>
 4+ years of project management experience in AI, ML, or tech-driven environments.
 </li>
 <li>
 Proven track record of delivering complex projects on time and within scope.
 </li>
 <li>
 Strong skills in planning, risk management, stakeholder communication, and team coordination.
 </li>
 <li>
 Expertise with monitoring and analytics tools such as Amplitude, Tableau, Looker, or similar.
 </li>
 <li>
 SQL knowledge for basic checks, validation, and tracking.
 </li>
 <li>
 Familiarity with project management tools (Jira, Asana, Trello, etc.).
 </li>
 <li>
 Excellent problem-solving, organizational, and interpersonal skills.
 
 
 </li>
 </ul>
 
 ✨ Bonus Points If You Have
 
 
 
 <ul>
 <li>
 Experience within delivery/logistics industries.
 
 
 </li>
 </ul>
 
 Inside Snoonu&rsquo;s Universe
 
 
 
 Snoonu is Qatar&rsquo;s homegrown Super App, reinventing daily life with blazing-fast delivery, ride-hailing, and shopping - all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.
 
 
 
 The Dream We&rsquo;re Chasing
 
 
 
 To be the first Qatari Super App that propels the region and its community through innovation and technology. We envision a global expansion where what we do surpasses norms and limitations every time.
 
 
 
 The Quest We&rsquo;re On
 
 
 
 To radically transform how people live by leveraging technology to connect them with endless possibilities.
 
 
 
 Our Everyday Superpowers
 
 
 
 
 👥 Be Customer Obsessed:
 
 &ldquo;Focus on the customer and all else will follow.&rdquo;
 
 
 
 💪 Act with Integrity:
 
 &ldquo;We are honest, ethical, and trustworthy in everything we do.&rdquo;
 
 
 
 🧪 Be Curious and Creative:
 
 &ldquo;We constantly innovate and create solutions to bring a lasting positive impact.&rdquo;
 
 
 🏅
 
 Lead by Example and Take Ownership:
 
 &ldquo;Be the change you want to see and take ownership.&rdquo;
 
 
 
 🚀 Work Smart and Deliver Results:
 
 &ldquo;You can do more by doing less, better, and faster.&rdquo;
 
 
 
 👨&zwj;💼 It's All About People:
 
 &ldquo;Be a team player; together we are stronger.&rdquo;
 
 
 
 Perks &amp; Worklife Magic At Snoonu
 
 
 
 
 🌐 Global Vibes &ndash;
 
 Collaborate with a worldwide crew.
 
 
 
 🧠 Brain Boosters &ndash;
 
 Learning budgets, access to courses, and tools for your growth.
 
 
 
 🚒 Builder&rsquo;s Playground &ndash;
 
 Own your tasks, own your path! We&rsquo;re big on autonomy.
 
 
 🏝️
 
 Flexible Time Off &ndash;
 
 We take recharging seriously. Generous leave and wellness policies.
 
 
 
 🛠️ Agile Everything &ndash;
 
 Scrum isn&rsquo;t a buzzword here. It&rsquo;s how we roll, from product to ops.
 
 
 
 Beyond the Code: Giving Back Matters
 
 
 
 We don&rsquo;t just build app. We&rsquo;re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we&rsquo;re always finding ways to do better&mdash;and we invite you to be a part of that mission.
 
 
 
 Diversity Isn&rsquo;t Just a Buzzword
 
 
 
 At Snoonu, fairness and inclusion are the foundation of everything we do. We&rsquo;re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.
 
 
 
 Let&rsquo;s Build the Future Together
 
 
 
 Apply now to join a team where your contributions spark a change and your voice is heard. Let&rsquo;s make some magic together.
 
 
 Stay in the loop&mdash;connect with us on LinkedIn!
</div>

AI Project Manager

مدير أعمالي PA

<div>
 
 
 Chief Executive Officer (CEO) &amp; General Manager Mudir Amali P A
 
 
 
 
 Company Overview
 
 
 
 Mudir Amali ("PA") is a pioneering technology start-up based in Doha, Qatar. We offer a smart personal-assistant platform that combines advanced artificial intelligence with a network of trained human delegates to manage customers&rsquo; day-to-day tasks.
 
 
 
 
 
 Users interact with our service through natural-language chat (via our App) and can request anything from document delivery and food &amp; coffee delivery to rides, shopping, luggage/cargo delivery, medicine delivery, security &amp; safety equipment, flowers &amp; chocolate, and other errands.
 
 
 
 
 
 The platform integrates modern AI to understand requests, assigns a real assistant to execute the task, and provides real-time order tracking and fast execution.
 
 
 
 
 
 Our vision is to be the first choice for daily personal assistance, enabling users to reclaim their time and focus on what matters. Our mission is to connect users with reliable human assistants who provide diverse services and fast delivery to improve quality of life.
 
 
 
 
 
 Mudir Amali offers:
 
 <ul>
 <li>
 24/7 technical support
 </li>
 <li>
 Secure payment options (Visa, MasterCard, Apple Pay, bank transfer)
 </li>
 <li>
 Flexible subscription packages with discounts and VIP support
 </li>
 </ul>
 
 
 
 
 We serve all major areas in Qatar, including Doha, Al Rayyan, Al Wakrah, Lusail, and The Pearl, and have tens of thousands of active users and 150+ partners.
 
 
 🌐 https://www.mudiramali-pa.com
 
 
 
 
 
 
 
 
 
 Role Summary
 
 
 
 We are seeking a
 
 Chief Executive Officer (CEO) &amp; General Manager
 
 to lead Mudir Amali into its next phase of growth.
 
 
 The CEO will report to the board of directors and will have full P&amp;L responsibility. This role will shape strategy, oversee operations, lead product execution, manage AI-driven systems and human operations, and drive expansion beyond Qatar.
 
 
 
 
 
 We are looking for a visionary leader with strong operational excellence, entrepreneurial mindset, and deep understanding of scaling technology-enabled services in the Middle East.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 Strategic Leadership
 
 
 <ul>
 <li>
 Develop and execute long-term strategy aligned with company vision
 </li>
 <li>
 Identify new markets, partnerships, and revenue streams
 </li>
 <li>
 Lead expansion across GCC and beyond
 </li>
 <li>
 Leverage AI insights and data for strategic decision-making
 </li>
 </ul>
 
 
 Operational Management
 
 
 <ul>
 <li>
 Oversee daily operations of the AI-powered platform
 </li>
 <li>
 Ensure fast execution, real-time tracking, and high service quality
 </li>
 <li>
 Lead cross-functional teams (product, engineering, logistics, support, marketing)
 </li>
 <li>
 Manage and optimize the human assistant network
 </li>
 </ul>
 
 
 Technology &amp; Innovation
 
 
 <ul>
 <li>
 Drive innovation in AI, Natural Language Processing (NLP), and automation
 </li>
 <li>
 Adopt emerging technologies (AI, predictive analytics, etc.)
 </li>
 <li>
 Ensure strong data security and compliance
 </li>
 </ul>
 
 
 Financial &amp; Administrative Leadership
 
 
 <ul>
 <li>
 Manage budgets, forecasts, and financial performance
 </li>
 <li>
 Optimize pricing and subscription strategies
 </li>
 <li>
 Lead fundraising, investor relations, and board reporting
 </li>
 </ul>
 
 
 Partnerships &amp; Stakeholders
 
 
 <ul>
 <li>
 Build relationships with corporate clients and government entities
 </li>
 <li>
 Expand B2B services and recurring operations
 </li>
 <li>
 Represent the company publicly and strategically
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Candidate Qualifications
 
 
 <ul>
 <li>
 
 Experience:
 
 15+ years in executive leadership, operations, or general management
 </li>
 <li>
 
 Tech Exposure:
 
 Experience with AI-driven products, apps, or tech platforms
 </li>
 <li>
 
 Operational Strength:
 
 Proven ability to scale operations across multiple services
 </li>
 <li>
 
 Leadership:
 
 Strong track record building high-performing teams
 </li>
 <li>
 
 Strategy:
 
 Experience in market expansion and partnerships
 </li>
 <li>
 
 Finance:
 
 Strong financial and analytical capabilities
 </li>
 <li>
 
 Communication:
 
 Fluent Arabic &amp; English (Arabic is a MUST)
 </li>
 <li>
 
 Education:
 
 Bachelor&rsquo;s required; MBA preferred
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Benefits &amp; Opportunities
 
 
 <ul>
 <li>
 Lead a
 
 high-impact, mission-driven company
 
 </li>
 <li>
 Work on
 
 cutting-edge AI and digital assistant technology
 
 </li>
 <li>
 Scale a platform with
 
 strong traction in the Middle East
 
 </li>
 <li>
 Competitive compensation + incentives + potential equity
 </li>
 <li>
 Fast-paced, creative, and ambitious environment
 </li>
 </ul>
 
 
 
 
 
 
 
 
 How to Apply
 
 
 
 Apply directly on LinkedIn.
 
 
 Qualified candidates will be contacted.
 
 
 
 
 
 _________________________________
 
 
 
 
 
 
 فرصة عمل: الرئيس التنفيذي (CEO) والمدير العام &ndash; مدير أعمالي P A
 
 
 
 
 نبذة عن الشركة
 
 
 
 شركة
 
 مدير أعمالي (PA)
 
 هي شركة تقنية ناشئة رائدة مقرها الدوحة، قطر. نقدم منصة مساعد شخصي ذكية تجمع بين
 
 الذكاء الاصطناعي المتقدم
 
 وشبكة من المساعدين البشريين لتنفيذ المهام اليومية للعملاء.
 
 
 يمكن للمستخدمين التفاعل معنا عبر التطبيق أو واتساب باستخدام اللغة الطبيعية، وطلب خدمات مثل:
 
 
 توصيل المستندات، توصيل الطعام والقهوة، المشاوير، التسوق، نقل الأغراض، توصيل الأدوية، معدات السلامة، الهدايا، وغيرها من المهام اليومية.
 
 
 
 
 
 تعتمد المنصة على الذكاء الاصطناعي لفهم الطلبات، ثم تعيين مساعد حقيقي لتنفيذها، مع تتبع مباشر وسرعة في التنفيذ.
 
 
 رؤيتنا أن نكون الخيار الأول للمساعدة الشخصية اليومية، ونمكن المستخدمين من استعادة وقتهم والتركيز على ما يهمهم.
 
 
 مهمتنا هي ربط المستخدمين بمساعدين موثوقين يقدمون خدمات متنوعة بسرعة وكفاءة.
 
 
 نقدم:
 
 <ul>
 <li>
 دعم فني 24/7
 </li>
 <li>
 وسائل دفع آمنة (بطاقات، Apple Pay، تحويل بنكي)
 </li>
 <li>
 اشتراكات مرنة مع مزايا VIP
 </li>
 </ul>
 
 نغطي جميع مناطق قطر ولدينا عشرات الآلاف من المستخدمين وأكثر من 150 شريك.
 
 
 🌐 https://www.mudiramali-pa.com
 
 
 
 
 
 
 
 
 
 
 
 
 ملخص الدور
 
 
 
 نبحث عن
 
 رئيس تنفيذي (CEO) ومدير عام
 
 لقيادة الشركة في مرحلة النمو القادمة.
 
 
 سيكون المسؤول عن:
 
 <ul>
 <li>
 وضع الاستراتيجية
 </li>
 <li>
 إدارة العمليات اليومية
 </li>
 <li>
 قيادة تطوير المنتج
 </li>
 <li>
 إدارة الأنظمة المعتمدة على الذكاء الاصطناعي
 </li>
 <li>
 التوسع داخل وخارج قطر
 </li>
 </ul>
 
 نبحث عن قائد صاحب رؤية، يجمع بين الخبرة التشغيلية والعقلية الريادية.
 
 
 
 
 
 
 
 
 
 المسؤوليات الرئيسية
 
 
 
 
 القيادة الاستراتيجية
 
 
 <ul>
 <li>
 وضع وتنفيذ استراتيجية طويلة المدى
 </li>
 <li>
 استكشاف أسواق وفرص جديدة
 </li>
 <li>
 قيادة التوسع في الخليج والمنطقة
 </li>
 <li>
 استخدام بيانات الذكاء الاصطناعي في اتخاذ القرار
 </li>
 </ul>
 
 
 الإدارة التشغيلية
 
 
 <ul>
 <li>
 إدارة العمليات اليومية للمنصة
 </li>
 <li>
 ضمان سرعة التنفيذ وجودة الخدمة
 </li>
 <li>
 قيادة الفرق المختلفة
 </li>
 <li>
 إدارة شبكة المساعدين
 </li>
 </ul>
 
 
 التقنية والابتكار
 
 
 <ul>
 <li>
 تطوير استخدام الذكاء الاصطناعي والتقنيات الحديثة
 </li>
 <li>
 تبني تقنيات جديدة لتحسين الأداء
 </li>
 <li>
 ضمان أمن البيانات والامتثال
 </li>
 </ul>
 
 
 الإدارة المالية
 
 
 <ul>
 <li>
 إدارة الميزانيات والتكاليف
 </li>
 <li>
 تطوير استراتيجيات التسعير والاشتراكات
 </li>
 <li>
 إدارة المستثمرين وجمع التمويل
 </li>
 </ul>
 
 
 الشراكات
 
 
 <ul>
 <li>
 بناء علاقات مع الشركات والجهات الحكومية
 </li>
 <li>
 تطوير خدمات B2B
 </li>
 <li>
 تمثيل الشركة أمام الشركاء والإعلام
 </li>
 </ul>
 
 
 
 
 
 
 
 
 المؤهلات المطلوبة
 
 
 <ul>
 <li>
 خبرة لا تقل عن
 
 15 سنة
 
 في الإدارة أو القيادة التنفيذية
 </li>
 <li>
 خبرة في تطبيقات تقنية أو منتجات تعتمد على الذكاء الاصطناعي
 </li>
 <li>
 قدرة عالية على إدارة العمليات وتوسيعها
 </li>
 <li>
 مهارات قيادية قوية
 </li>
 <li>
 خبرة في التوسع وبناء الشراكات
 </li>
 <li>
 مهارات مالية وتحليلية ممتازة
 </li>
 <li>
 إتقان اللغة العربية واللغة الإنجليزية (اللغة العربية إلزامية)
 </li>
 <li>
 بكالوريوس كحد أدنى، ويفضل MBA
 </li>
 </ul>
 
 
 
 
 
 
 
 
 المزايا
 
 
 <ul>
 <li>
 قيادة شركة ذات تأثير حقيقي
 </li>
 <li>
 العمل على تقنيات حديثة ومتقدمة
 </li>
 <li>
 فرصة للنمو والتوسع في السوق
 </li>
 <li>
 راتب تنافسي + حوافز + إمكانية أسهم
 </li>
 <li>
 بيئة عمل سريعة ومبتكرة
 </li>
 </ul>
 
 
 
 
 
 
 
 
 طريقة التقديم
 
 
 
 التقديم مباشرة عبر موقع LinkedIn
 
 
 سيتم التواصل مع المرشحين المؤهلين.
 
</div>

Chief Executive Officer

Starlink Qatar

<div>
 
 The
 
 Data Governance &amp; Privacy Lead
 
 defines and drives the governance framework for data used by smart-city capabilities (including Cognitive AI). The role establishes standards for
 
 data classification, privacy-by-design, consent, retention, lineage, and controlled sharing
 
 across multi-tenant environments and multiple vendors. Working with stakeholders, security teams, and delivery vendors, the lead ensures that
 
 data products and AI pipelines comply with applicable regulations and policies
 
 , and that governance is operationalized through tooling, processes, and automated controls embedded into platform onboarding and service delivery.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Define
 
 data governance operating model
 
 : roles (data owners/stewards), RACI, councils, and approval workflows.
 </li>
 <li>
 Establish standards for
 
 data classification, residency, retention, legal holds, and secure disposal
 
 across tenants.
 </li>
 <li>
 Define
 
 privacy-by-design requirements
 
 : consent management, purpose limitation, minimization, and data access controls.
 </li>
 <li>
 Drive
 
 data cataloging and metadata management
 
 (ownership, descriptions, schemas, sensitivity labels, quality scores).
 </li>
 <li>
 Define
 
 lineage and provenance requirements
 
 for data pipelines and AI artifacts (datasets, labels, embeddings, vector indexes).
 </li>
 <li>
 Specify
 
 DLP and egress control requirements
 
 for storage, APIs, and AI/RAG workflows; coordinate with Cybersecurity Architect.
 </li>
 <li>
 Define
 
 data-sharing policies and contracts
 
 (inter-agency sharing, vendor access boundaries, anonymization/masking rules).
 </li>
 <li>
 Establish
 
 data quality framework
 
 : validations, monitoring, SLA/KPIs, issue management, and remediation processes.
 </li>
 <li>
 Provide
 
 governance assurance for vendor deliverables
 
 (design reviews, acceptance criteria, compliance evidence packs).
 </li>
 <li>
 Enable
 
 operations
 
 : governance dashboards, audit reporting, periodic access reviews, and training for data owners/stewards.
 </li>
 </ul>
 
 
 
 
 
 Skills &amp; Abilities
 
 
 <ul>
 <li>
 Strong knowledge of
 
 data governance, privacy, and compliance practices
 
 in regulated environments.
 </li>
 <li>
 Ability to
 
 operationalize governance
 
 through processes and automated technical controls (policy-as-code mindset).
 </li>
 <li>
 Understanding of
 
 modern data platforms
 
 (lakehouse, streaming, catalog/lineage) and
 
 AI data lifecycle
 
 (RAG/embeddings).
 </li>
 <li>
 Excellent
 
 stakeholder management
 
 across legal, security, business owners, and vendor teams.
 </li>
 <li>
 Strong
 
 documentation, control definition, and audit-readiness skills
 
 .
 </li>
 </ul>
 
 
 
 
 
 Education &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Computer Science, Information Technology, Cybersecurity
 
 ; Master&rsquo;s degree highly preferred.
 </li>
 <li>
 
 7+ years
 
 in data governance, privacy, compliance, or data management roles (government/telco preferred).
 </li>
 <li>
 Experience implementing
 
 data catalog/lineage tools
 
 and defining enterprise-wide data standards and policies.
 </li>
 <li>
 Experience with
 
 privacy controls
 
 (consent, RTBF/DSR processes, anonymization/masking, retention schedules).
 </li>
 <li>
 Background working with
 
 delivery vendors
 
 and integrating governance into program delivery and acceptance gates.
 </li>
 <li>
 Familiarity with
 
 AI data governance concepts
 
 (dataset/model cards, provenance, RAG content governance).
 </li>
 </ul>
 
 
 
 
 
 Preferred Tools
 
 
 <ul>
 <li>
 
 Data governance/catalog:
 
 Microsoft Purview (or equivalent), data classification/labeling tools
 </li>
 <li>
 
 Data protection:
 
 DLP tooling, encryption/CMK/HSM, key management (Key Vault/KMS)
 </li>
 <li>
 
 Data platforms:
 
 lakehouse (Delta/Iceberg), streaming (Kafka/Event Hubs), SQL/ETL orchestration (Airflow)
 </li>
 </ul>
 
 
 
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong
 
 facilitation and consensus-building
 
 (data councils, policy workshops)
 </li>
 <li>
 Ability to
 
 translate legal/privacy requirements into actionable technical controls
 
 </li>
 <li>
 High
 
 attention to detail
 
 with pragmatic prioritization
 </li>
 <li>
 Confidence to
 
 challenge non-compliant designs
 
 and drive remediation
 </li>
 <li>
 Effective
 
 communication and training approach
 
 for non-technical stakeholders
 </li>
 </ul>
</div>

Data Governance & Privacy Lead

Scale AI

<div>
 Role Overview
 
 
 Scale&rsquo;s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for national LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners.
 
 
 At Scale, we&rsquo;re not just building AI solutions&mdash;we&rsquo;re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a founding member of our team, we&rsquo;d love to hear from you.
 
 
 
 You will:
 
 
 
 <ul>
 <li>
 Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies.
 </li>
 <li>
 Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment.
 </li>
 <li>
 Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability.
 </li>
 <li>
 Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks.
 </li>
 <li>
 Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again.
 </li>
 <li>
 Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials.
 </li>
 <li>
 Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases.
 
 
 </li>
 </ul>
 
 Ideally, you have:
 
 
 
 <ul>
 <li>
 Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector.
 </li>
 <li>
 Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI.
 </li>
 <li>
 System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core.
 </li>
 <li>
 Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools.
 </li>
 <li>
 Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them.
 </li>
 <li>
 Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy.
 </li>
 <li>
 Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it.
 
 
 </li>
 </ul>
 
 
 PLEASE NOTE:
 
 
 
 Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
 
 
 
 
 We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 
</div>

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