Model Jobs in Saudi

<h3 >About the Role</h3> <p >Bupa Arabia is seeking a <strong >Manager FWA Data Science</strong> to join their team in Makkah, with operations spanning Jeddah and Makkah. This full-time role is central to transforming validated analytical prototypes into robust, scalable, and measurable fraud, waste, and abuse (FWA) detection models ready for production. The role requires 5-10 years of relevant experience.</p> <h3 >Role Context and Impact</h3> <p >The Manager FWA Data Science will own the entire lifecycle of FWA detection models, including enhancement, feature engineering, calibration, validation, explainability, performance assessment, and continuous improvement. Working closely with Actuarial, Claims Integrity, and FWA AI Engineering teams, this position ensures that FWA detection models remain effective, relevant, and aligned with evolving fraud patterns post-deployment.</p> <h3 >Key Responsibilities</h3> <ul > <li >Assess AI/ML prototypes from Actuarial teams, refining model logic and improving statistical rigor.</li> <li >Enhance feature engineering methodologies and validate prototype assumptions.</li> <li >Develop explainable detection methodologies and support the migration of approved analytical models to cloud-based solutions.</li> <li >Improve and retrain FWA models using new data and investigation outcomes, developing advanced fraud detection features and enhancing anomaly detection models.</li> <li >Build risk scoring methodologies and improve model precision and operational effectiveness.</li> <li >Define model success metrics, monitor precision, recall, and business impact, and perform false-positive and false-negative analysis.</li> <li >Validate model outputs with investigators and support production readiness reviews.</li> <li >Analyze investigation outcomes to identify emerging fraud behaviors, design new detection features, and recommend modifications to existing models.</li> <li >Collaborate with FWA operations on evolving threats and monitor the business effectiveness of deployed models.</li> <li >Recommend retraining and recalibration activities, support periodic model reviews, and maintain model documentation and governance artifacts.</li> </ul> <h3 >Qualifications and Experience</h3> <ul > <li >A minimum of 5 years and a maximum of 10 years of experience in data science, with a focus on fraud detection or similar analytical model development.</li> <li >Demonstrated experience in model industrialization, enhancement, validation, and performance assessment.</li> <li >Proficiency in developing and deploying scalable data science models.</li> <li >Strong analytical skills with the ability to identify emerging patterns and recommend data-driven solutions.</li> </ul> <h3 >Work Environment</h3> <p >This is a full-time position based in Makkah, Saudi Arabia, with responsibilities covering operations in Jeddah and Makkah. The role involves close collaboration with cross-functional teams including Actuarial, Claims Integrity, and FWA AI Engineering.</p> <h3 >Application Process</h3> <p >Candidates interested in this role are encouraged to apply. Salary details will be discussed during the interview process.</p>

<h3 >About the Role</h3> <p >Bupa Arabia is seeking a <strong >Manager FWA Data Science</strong> to join their team in Makkah, with operations spanning Jeddah and Makkah. This full-time role is central to transforming validated analytical prototypes into robust, scalable, and measurable fraud, waste, and abuse (FWA) detection models ready for production. The role requires 5-10 years of relevant experience.</p> <h3 >Role Context and Impact</h3> <p >The Manager FWA Data Science will own the entire lifecycle of FWA detection models, including enhancement, feature engineering, calibration, validation, explainability, performance assessment, and continuous improvement. Working closely with Actuarial, Claims Integrity, and FWA AI Engineering teams, this position ensures that FWA detection models remain effective, relevant, and aligned with evolving fraud patterns post-deployment.</p> <h3 >Key Responsibilities</h3> <ul > <li >Assess AI/ML prototypes from Actuarial teams, refining model logic and improving statistical rigor.</li> <li >Enhance feature engineering methodologies and validate prototype assumptions.</li> <li >Develop explainable detection methodologies and support the migration of approved analytical models to cloud-based solutions.</li> <li >Improve and retrain FWA models using new data and investigation outcomes, developing advanced fraud detection features and enhancing anomaly detection models.</li> <li >Build risk scoring methodologies and improve model precision and operational effectiveness.</li> <li >Define model success metrics, monitor precision, recall, and business impact, and perform false-positive and false-negative analysis.</li> <li >Validate model outputs with investigators and support production readiness reviews.</li> <li >Analyze investigation outcomes to identify emerging fraud behaviors, design new detection features, and recommend modifications to existing models.</li> <li >Collaborate with FWA operations on evolving threats and monitor the business effectiveness of deployed models.</li> <li >Recommend retraining and recalibration activities, support periodic model reviews, and maintain model documentation and governance artifacts.</li> </ul> <h3 >Qualifications and Experience</h3> <ul > <li >A minimum of 5 years and a maximum of 10 years of experience in data science, with a focus on fraud detection or similar analytical model development.</li> <li >Demonstrated experience in model industrialization, enhancement, validation, and performance assessment.</li> <li >Proficiency in developing and deploying scalable data science models.</li> <li >Strong analytical skills with the ability to identify emerging patterns and recommend data-driven solutions.</li> </ul> <h3 >Work Environment</h3> <p >This is a full-time position based in Makkah, Saudi Arabia, with responsibilities covering operations in Jeddah and Makkah. The role involves close collaboration with cross-functional teams including Actuarial, Claims Integrity, and FWA AI Engineering.</p> <h3 >Application Process</h3> <p >Candidates interested in this role are encouraged to apply. Salary details will be discussed during the interview process.</p>

<p>Role Overview As an AI &amp; Machine Learning Consultant , you will design, build, and deploy innovative Artificial Intelligence (AI) and Machine Learning (ML) solutions that help organizations solve complex business challenges. You will leverage cloud-native AI services, Generative AI technologies, and modern engineering practices to develop scalable, production-ready solutions. Working across the full AI lifecycle, you will transform data into intelligent applications while driving innovation through advanced analytics, model development, and AI research initiatives.</p><p>Key Responsibilities</p><ul><li>Design and develop Artificial Intelligence (AI) and Machine Learning (ML) solutions using cloud-based AI platforms and services.</li><li>Build and maintain scalable data pipelines that support data ingestion, model training, deployment, and production operations.</li><li>Implement DevOps and MLOps practices to automate and streamline model development, deployment, monitoring, and maintenance.</li><li>Develop, customize, and deploy Deep Learning, Generative AI, and Large Language Model (LLM) solutions tailored to business requirements.</li><li>Evaluate business needs, data availability, and infrastructure constraints to design effective AI solutions that deliver measurable value.</li><li>Support the development of AI applications across cloud, edge computing, and High-Performance Computing (HPC) environments.</li><li>Conduct research and experimentation on emerging AI techniques, algorithms, models, and advanced analytical approaches.</li><li>Work with large-scale structured and unstructured datasets, applying data cleansing, preprocessing, and feature engineering techniques to improve solution quality.</li><li>Design and maintain efficient data, model, and knowledge storage solutions to support AI applications and retrieval capabilities.</li><li>Collaborate with data engineers, architects, and business stakeholders to develop scalable and production-ready AI solutions.</li><li>Monitor model performance and support continuous improvements to ensure reliability, scalability, and business impact.</li><li>Ensure compliance with enterprise security, governance, and Responsible AI standards throughout the AI development lifecycle.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>4-7 years of experience in Artificial Intelligence, Machine Learning, Data Science, Data Engineering, Analytics, or related technical fields.</li><li>Hands-on experience developing and deploying AI/ML solutions in enterprise or consulting environments.</li><li>Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar technologies.</li><li>Experience working with Deep Learning, Generative AI, Large Language Models (LLMs), and advanced analytics solutions.</li><li>Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform and their AI/ML services.</li><li>Experience building data pipelines and supporting MLOps practices for model deployment and lifecycle management.</li><li>Strong understanding of data preprocessing, feature engineering, model evaluation, and optimization techniques.</li><li>Experience developing and deploying Generative AI, LLM, or intelligent automation solutions.</li><li>Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, and AI orchestration frameworks.</li><li>Experience with containerization technologies such as Docker and orchestration platforms such as Kubernetes.</li><li>Familiarity with edge AI deployments, distributed computing architectures, and High-Performance Computing (HPC) environments.</li><li>Experience implementing model monitoring, observability, and AI operational support capabilities.</li><li>Strong analytical, problem-solving, and stakeholder management skills.</li><li>Relevant certifications in Artificial Intelligence, Machine Learning, Data Science, Cloud Platforms, or related technologies are preferred.</li></ul>

Position Title : Civil / Infrastructure BIM Modeler Department : BIM / Engineering Reports To : BIM Manager / Engineering Manager Location : Qiddiya, Saudi Arabia Joining Availability : Immediately ( Required only )<br>Job Purpose :Develop, update, and coordinate Civil 3D infrastructure models with supporting Revit modeling where required. The role focuses on accurate, constructible BIM production for roads, grading, pavements, utilities, site works, and infrastructure interfaces, while maintaining project BIM standards, shared coordinates, model data, and submission readiness.<br>Scope note: this is a modeling and BIM production role. Engineering design decisions, calculations, and final technical approvals remain with the responsible discipline engineer unless formally assigned by the project.<br>Key Responsibilities :Develop and maintain Civil 3D BIM models for infrastructure works, including roads, corridors, surfaces, grading, pavements, earthworks, and utility networks. Model and update gravity and pressure networks such as stormwater, sewer, water, TSE, irrigation, drainage structures, chambers, manholes, catch basins, ducts, trenches, and related site components. Support dry utility and infrastructure coordination modeling, including electrical, ICT, ELV, lighting, duct banks, pull boxes, and utility corridor interfaces where project scope requires. Use Revit for supporting infrastructure-related modeling, including structures, chambers, plant rooms, utility interfaces, architectural/structural coordination elements, families, and model updates when Civil 3D alone is not sufficient. Prepare model-based deliverables such as plans, profiles, sections, shop drawings, as-built updates, quantity take-offs, schedules, and coordination views. Integrate survey data, design changes, red-line markups, field comments, and approved assumptions into the models with clear revision control. Run/support Navisworks or ACC model coordination, including clash review, issue tracking, viewpoints, and follow-up with discipline and site teams. Maintain BIM quality requirements, including naming, layers, property sets, shared parameters, LOD/LOI, work sets, coordinates, file health, and export checks. Prepare and check BIM exports such as DWG, IFC, NWC/NWD, DWFx/PDF sheets, and other formats required by the project information exchange process.<br>Systems and Modeling Coverage :Civil 3D - Primary Roads, alignments, profiles, corridors, assemblies, surfaces, grading, pavements, earthworks, road furniture, utility corridors, and site coordination models. Wet Utilities Stormwater, sewer, potable water, TSE, irrigation pressure networks, drip/tree irrigation interfaces, culverts, chambers, manholes, catch basins, outfalls, and related structures. Dry Utilities Electrical, ICT, ELV, street lighting, duct banks, trenches, pull boxes, handholes, cable route coordination, and utility crossings. Revit - Supporting Infrastructure structures, buildings/interface zones, pump rooms, equipment spaces, utility chambers, families, details, sheets, and coordination elements as required. Coordination / Output Clash review, shared coordinates, model federation, shop drawing support, quantity extraction, as-built update, and submission/export packages.<br>Qualifications :Diploma or Bachelor degree in Civil Engineering, Architecture, Construction Technology, BIM, or a related technical discipline. Autodesk Civil 3D and/or Revit certification is preferred. ISO 19650, ACC/BIM 360, Navisworks, or BIM coordination training is an advantage.<br>Experience Requirements :Minimum 5 years of hands-on BIM modeling experience, including at least 3 years using Civil 3D on infrastructure projects. Proven experience modeling roads, grading, utilities, and site works for construction-stage or as-built BIM delivery. Practical Revit experience for infrastructure interfaces, structures, coordination elements, sheets, families, or model updates. Experience on large-scale infrastructure, mixed-use, transport, utilities, or giga-project environments is preferred.<br>Core Skills and Tools :Strong Civil 3D production skills: surfaces, alignments, profiles, corridors, pipe/pressure networks, styles, labels, data shortcuts, and drawing production. Working Revit skills: model setup, families, views, sheets, linked models, shared coordinates, parameters, and basic model health practices. Good understanding of infrastructure drawings, profiles, sections, survey data, as-built records, and discipline coordination requirements. Proficient with Auto CAD, Navisworks Manage, ACC/BIM 360, MS Excel, and model/file export workflows. Familiarity with BIM standards, naming conventions, LOD/LOI, CDE workflows, clash coordination, and model QA/QC checklists. Able to communicate model issues clearly, follow markups, document assumptions, and work under tight submission deadlines.<br>Expected Outputs :Civil 3D and Revit models ready for internal coordination, consultant review, and formal submission. Shop drawings, plans, profiles, sections, details, schedules, and exports derived from or aligned with the BIM models. Updated as-built/record models based on survey, redlines, site verification, and approved project information. Model coordination support: clash viewpoints, issue notes, quantity summaries, and model QA/QC evidence when required.

Company Description Rasēd is a cutting-edge fraud detection and prevention solution designed for financial institutions, fintechs, and payment providers. It combines AI, device intelligence, and behavioral biometrics to detect and prevent fraud in real time while ensuring a seamless user experience. The platform also includes advanced analytics for post-incident investigation, compliance, and automated case management, enabling faster, smarter, and more secure fraud management.<br>Location: Riyadh, Saudi Arabia (Onsite) Employment Type: Full-time<br>Role Purpose We're looking for a Data Scientist to build and improve the models and rules that detect fraud, AML risk, and financial crime — from transaction monitoring to mule activity and account takeover. You'll own fraud analytics end to end, from data exploration to deployment and monitoring, working closely with fraud, compliance, and engineering teams.<br>Responsibilities● Contribute to the development and deployment of fraud detection, AML, and financial crime prevention solutions.● Build and improve models and rules that detect suspicious behavior, transaction fraud, mule activity, account takeover, sanctions risk, and abnormal customer patterns.● Translate fraud, compliance, and business requirements into practical analytical solutions, detection scenarios, dashboards, and workflows.● Own defined fraud analytics components end to end, from data exploration and feature engineering to testing, deployment, and monitoring.● Work with structured financial, customer, device, transaction, and case-management data to identify fraud patterns and risk indicators.● Conduct experimentation and optimization of fraud detection models, risk scoring logic, and scenario thresholds.● Support model deployment and monitoring in collaboration with engineering teams, ensuring fraud models remain accurate, explainable, and operationally useful.● Assist in tuning fraud scenarios, reducing false positives, improving detection rates, and measuring model effectiveness.● Interact with SME clients under guidance to understand fraud use cases, operational pain points, and regulatory expectations.● Stay updated with fraud trends, AML typologies, regulatory requirements, and industry best practices.<br>Qualifications● 1–4 years of experience delivering data science, analytics, fraud detection, AML, or financial crime solutions.● Must have hands-on Python experience.● Must have experience or strong exposure to fraud detection, AML, risk analytics, transaction monitoring, or financial crime.● Strong proficiency in SQL and experience working with structured data.● Experience working with data such as transactions, customer profiles, device data, alerts, cases, or financial records.● Familiarity with feature engineering, data pipelines, model training, model evaluation, and deployment workflows.● Understanding of fraud detection concepts such as anomaly detection, risk scoring, false positives, behavioral patterns, mule accounts, and suspicious activity monitoring.● Strong analytical thinking and ability to connect data patterns to real-world fraud behavior.● Strong communication skills and ability to explain technical findings to business, fraud, and compliance teams.● Proficiency in English; Arabic is a plus.<br>Nice to have● Exposure to Generative AI, LLMs, prompt engineering, RAG, or AI-agent workflows.● Experience applying Gen AI to fraud investigation, alert triage, sanctions screening, workflow automation, or case management.● Experience with model monitoring, MLOps, or production fraud systems.

Company Description Rasēd is a cutting-edge fraud detection and prevention solution designed for financial institutions, fintechs, and payment providers. It combines AI, device intelligence, and behavioral biometrics to detect and prevent fraud in real time while ensuring a seamless user experience. The platform also includes advanced analytics for post-incident investigation, compliance, and automated case management, enabling faster, smarter, and more secure fraud management.<br>Location: Riyadh, Saudi Arabia (Onsite) Employment Type: Full-time<br>Role Purpose We're looking for a Data Scientist to build and improve the models and rules that detect fraud, AML risk, and financial crime — from transaction monitoring to mule activity and account takeover. You'll own fraud analytics end to end, from data exploration to deployment and monitoring, working closely with fraud, compliance, and engineering teams.<br>Responsibilities● Contribute to the development and deployment of fraud detection, AML, and financial crime prevention solutions.● Build and improve models and rules that detect suspicious behavior, transaction fraud, mule activity, account takeover, sanctions risk, and abnormal customer patterns.● Translate fraud, compliance, and business requirements into practical analytical solutions, detection scenarios, dashboards, and workflows.● Own defined fraud analytics components end to end, from data exploration and feature engineering to testing, deployment, and monitoring.● Work with structured financial, customer, device, transaction, and case-management data to identify fraud patterns and risk indicators.● Conduct experimentation and optimization of fraud detection models, risk scoring logic, and scenario thresholds.● Support model deployment and monitoring in collaboration with engineering teams, ensuring fraud models remain accurate, explainable, and operationally useful.● Assist in tuning fraud scenarios, reducing false positives, improving detection rates, and measuring model effectiveness.● Interact with SME clients under guidance to understand fraud use cases, operational pain points, and regulatory expectations.● Stay updated with fraud trends, AML typologies, regulatory requirements, and industry best practices.<br>Qualifications● 1–4 years of experience delivering data science, analytics, fraud detection, AML, or financial crime solutions.● Must have hands-on Python experience.● Must have experience or strong exposure to fraud detection, AML, risk analytics, transaction monitoring, or financial crime.● Strong proficiency in SQL and experience working with structured data.● Experience working with data such as transactions, customer profiles, device data, alerts, cases, or financial records.● Familiarity with feature engineering, data pipelines, model training, model evaluation, and deployment workflows.● Understanding of fraud detection concepts such as anomaly detection, risk scoring, false positives, behavioral patterns, mule accounts, and suspicious activity monitoring.● Strong analytical thinking and ability to connect data patterns to real-world fraud behavior.● Strong communication skills and ability to explain technical findings to business, fraud, and compliance teams.● Proficiency in English; Arabic is a plus.<br>Nice to have● Exposure to Generative AI, LLMs, prompt engineering, RAG, or AI-agent workflows.● Experience applying Gen AI to fraud investigation, alert triage, sanctions screening, workflow automation, or case management.● Experience with model monitoring, MLOps, or production fraud systems.

Job Title – Gen AI Engineer Company – TCS (MEA) Location – Dhahran, Saudi Arabia Job type – Full time<br>About Us:Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.<br>Job Description:<br>Must Have Technical/Functional Skills;<br>Experience with video analytics, object detection, tracking, segmentation, and scene understanding. Exposure to edge computing, GPU optimization, and model quantization for real-time deployment. Familiarity with CI/CD pipelines and MLOps practices in vision systems. Experience with large-scale vision datasets and data curation tools. Proficiency in Python, with hands-on experience in PyTorch, Tensor Flow, or Paddle Paddle. Experience with YOLO models, including training, fine-tuning, and deployment. Working knowledge of CNNs, Auto-Encoders, and Vision-Language Models (VLMs) for both images and videos. Experience using Paddle OCR or similar OCR frameworks for text detection and recognition in images and video frames. Experience with NVIDIA Deep Stream SDK for multi-stream video processing and inference acceleration. Familiarity with annotation tools such as Label Studio or CVAT, including managing and cleaning annotated datasets. Experience building and deploying microservices with Fast API and Docker. Strong understanding of data preprocessing, augmentation, and pipeline design for vision tasks.<br>Roles & Responsibilities;<br>Design, develop, and deploy computer vision models for processing multiple real-time camera streams. Build and optimize deep learning pipelines using CNNs, YOLO, Auto-Encoders, Vision-Language Models (VLMs), and OCR models. Fine-tune and train YOLO, VLM, and OCR models (such as Paddle OCR) for both image and video understanding, including text detection and recognition. Collaborate with data engineering teams to develop data annotation pipelines and clean large-scale datasets. Utilize tools such as Label Studio or CVAT for annotation tasks and ensure high-quality labeled data. Deploy models using NVIDIA Deep Stream, Docker, and microservices architecture for scalable production environments. Develop APIs and backend services using Fast API for model inference and integration. Continuously improve model performance through experimentation, evaluation, and feedback loops. Contribute to the documentation, scaling, and maintenance of vision systems in production.<br>Generic Managerial Skills, If any<br>Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment. Strong communication skills and the ability to collaborate effectively with cross-functional teams.<br>Application Deadline: 30-June-2026<br>Privacy Note:https://www.tcs.com/connect-with-tcs/privacy-policy

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking AI / ML Engineers across multiple experience levels (T1 T5) to design, develop, train, deploy, and optimize machine learning models and AI solutions throughout the complete machine learning lifecycle. Candidates will work on data preparation, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement using modern cloud AI platforms and open-source machine learning frameworks. The role offers opportunities ranging from entry-level implementation to enterprise AI architecture and technical leadership.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, train, evaluate, and deploy machine learning and AI solutions.</li><li>Build scalable ML pipelines from data preparation through production deployment.</li><li>Develop supervised, unsupervised, deep learning, and generative AI models.</li><li>Perform feature engineering, data preprocessing, model validation, and hyperparameter optimization.</li><li>Integrate ML models into enterprise applications and cloud-native environments.</li><li>Deploy AI models using managed cloud ML services and MLOps practices.</li><li>Monitor model performance, drift, accuracy, and production reliability.</li><li>Collaborate with Data Scientists, Data Engineers, Software Engineers, and DevOps teams.</li><li>Optimize model performance, scalability, and inference latency.</li><li>Document models, experiments, evaluation metrics, deployment processes, and governance standards.</li><li>Follow AI security, responsible AI, and model governance best practices.</li></ul><p><strong>Required Technical Skills</strong></p><ul><li><strong>Cloud AI Platforms</strong>: GCP Vertex AI or BigQuery ML or Dataflow, Azure ML or Azure OpenAI, AWS SageMaker or Amazon Bedrock</li><li><strong>Programming</strong>: Python</li><li><strong>Machine Learning Frameworks</strong>: TensorFlow or PyTorch</li><li><strong>Generative AI &amp; LLM Frameworks</strong>: HuggingFace or LangChain</li><li><strong>Data &amp; Analytics</strong>: Databricks</li><li><strong>Additional Skills</strong>: Machine Learning, Deep Learning, NLP, Computer Vision, Model Evaluation, Feature Engineering, API Development, Git</li></ul><p><strong>Responsibilities by Tier</strong></p><p><strong>T1 Associate AI / ML Engineer (0 - 2 Years)</strong></p><ul><li><strong>Role Focus:</strong> Learning, implementation, and execution under supervision.</li><li><strong>Responsibilities</strong><ul><li>Assist in data preparation, cleansing, and feature engineering.</li><li>Develop simple machine learning models using established frameworks.</li><li>Support model training, testing, and validation activities.</li><li>Deploy models under senior guidance.</li><li>Maintain documentation for datasets, experiments, and models.</li><li>Debug ML pipelines and resolve basic issues.</li><li>Learn cloud AI platforms and development best practices.</li><li>Follow coding standards, security policies, and project guidelines.</li></ul></li></ul><p><strong>T2 AI / ML Engineer (2 - 4 Years)</strong></p><ul><li><strong>Role Focus:</strong> Independent development and delivery.</li><li><strong>Responsibilities</strong><ul><li>Build and deploy production-ready machine learning models.</li><li>Perform feature engineering and model optimization.</li><li>Develop reusable ML components and inference APIs.</li><li>Implement model evaluation and performance monitoring.</li><li>Integrate ML models into enterprise applications.</li><li>Collaborate with cross-functional engineering teams.</li><li>Troubleshoot production AI issues.</li><li>Contribute to model documentation and deployment automation.</li></ul></li></ul><p><strong>T3 Senior AI / ML Engineer (5 - 7 Years)</strong></p><ul><li><strong>Role Focus:</strong> Technical ownership and solution development.</li><li><strong>Responsibilities</strong><ul><li>Design end-to-end AI and machine learning solutions.</li><li>Lead development of complex ML pipelines and AI applications.</li><li>Optimize training pipelines for performance and scalability.</li><li>Guide junior engineers and perform technical reviews.</li><li>Implement Responsible AI, explainability, and governance practices.</li><li>Improve model reliability, monitoring, and lifecycle management.</li><li>Collaborate with business stakeholders to translate requirements into AI solutions.</li><li>Support architecture decisions for enterprise AI initiatives.</li></ul></li></ul><p><strong>T4 Lead AI / ML Engineer (8 - 11 Years)</strong></p><ul><li><strong>Role Focus:</strong> Technical leadership and enterprise solution delivery.</li><li><strong>Responsibilities</strong><ul><li>Lead architecture and delivery of enterprise AI platforms and machine learning solutions.</li><li>Define technical standards, reusable frameworks, and engineering best practices.</li><li>Lead multiple AI initiatives across business domains.</li><li>Drive cloud-native AI solution design and deployment.</li><li>Review solution architecture, model performance, and production readiness.</li><li>Mentor engineering teams and provide technical leadership.</li><li>Collaborate with enterprise architects, product owners, and business leaders.</li><li>Improve AI platform scalability, governance, security, and operational excellence.</li></ul></li></ul><p><strong>T5 Principal AI / ML Architect (12+ Years)</strong></p><ul><li><strong>Role Focus:</strong> Enterprise AI strategy, architecture, and innovation.</li><li><strong>Responsibilities</strong><ul><li>Define enterprise AI/ML strategy and long-term technology roadmap.</li><li>Own architecture decisions for large-scale AI and machine learning platforms.</li><li>Lead enterprise-wide AI transformation initiatives.</li><li>Establish standards for Responsible AI, governance, security, and compliance.</li><li>Evaluate emerging AI technologies, frameworks, and cloud services.</li><li>Drive innovation in Generative AI, LLMs, and advanced machine learning solutions.</li><li>Provide executive-level technical guidance and strategic recommendations.</li><li>Lead technical communities, architecture reviews, and cross-functional AI governance.</li><li>Influence organizational AI adoption and engineering excellence across multiple programs.</li></ul></li></ul><p><strong>Preferred Certifications</strong></p><ul><li>One or more of the following certifications is highly preferred: Google Professional Machine Learning Engineer, AWS Certified Machine Learning Specialty, Microsoft Certified: Azure AI Engineer Associate, TensorFlow Developer Certificate</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Preferred Qualifications</strong></p><ul><li>Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related field.</li><li>Strong understanding of statistics, machine learning algorithms, deep learning, and generative AI concepts.</li><li>Experience with cloud AI platforms and modern ML frameworks.</li><li>Knowledge of MLOps, CI/CD, model deployment, and production monitoring is an advantage.</li><li>Strong analytical, communication, and problem-solving skills.</li><li>Ability to work in Agile, cross-functional, and enterprise-scale environments.</li></ul><p></p></section>

Primary Skill/Keywords - Business Design, Service Design, Operating Model Design, Business Analysis, Process Design, Requirements Management Secondary Skill / Keywords - Design Thinking, Experience Design, Change Management, Stakeholder Engagement, Business Transformation<br>Detailed Job Description:Lead business and service design activities across the programme. Facilitate workshops, define business requirements, future-state operating models, processes, capabilities, and customer journeys. Establish requirements governance and traceability. Ensure alignment between business objectives, user needs, operating model requirements, and technology delivery outcomes.

<p>Role Overview As an AI &amp; Machine Learning Consultant , you will design, develop, and deploy enterprise-grade AI and Machine Learning solutions that drive business innovation and operational efficiency. You will leverage cloud-native AI services, Generative AI technologies, and advanced MLOps practices to build scalable, production-ready AI systems. Working across the AI lifecycle, you will help transform data into intelligent solutions while ensuring performance, scalability, and business value.</p><p>Key Responsibilities</p><ul><li>Design and develop Artificial Intelligence (AI) and Machine Learning (ML) solutions using cloud-native AI and analytics services.</li><li>Build and maintain scalable data pipelines that support model training, deployment, monitoring, and production operations.</li><li>Implement DevOps and MLOps practices to streamline model development, automation, deployment, and lifecycle management.</li><li>Customize, fine-tune, and deploy Deep Learning, Generative AI, and Large Language Model (LLM) solutions to address business needs.</li><li>Design AI solutions that operate efficiently across cloud environments, edge devices, and High-Performance Computing (HPC) infrastructures.</li><li>Evaluate model performance and communicate solution effectiveness through measurable business outcomes and technical metrics.</li><li>Conduct research and development activities focused on emerging AI technologies, algorithms, simulation techniques, and advanced computational methods.</li><li>Work with large-scale structured and unstructured datasets, applying appropriate data preparation, preprocessing, and feature engineering techniques.</li><li>Develop and maintain efficient data, model, and knowledge storage architectures to support AI applications and retrieval capabilities.</li><li>Collaborate with cross-functional teams including architects, data engineers, software engineers, and business stakeholders to deliver scalable AI solutions.</li><li>Ensure AI solutions align with enterprise security, governance, compliance, and Responsible AI requirements.</li><li>Continuously improve AI engineering standards, frameworks, and best practices to accelerate enterprise AI adoption.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>4-7 years of experience in Artificial Intelligence, Machine Learning, Data Science, Data Engineering, or related technical disciplines.</li><li>Hands-on experience designing, developing, and deploying AI/ML applications in enterprise environments.</li><li>Strong programming skills in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar technologies.</li><li>Experience with Deep Learning, Generative AI, Large Language Models (LLMs), and modern AI development frameworks.</li><li>Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud and their AI/ML services.</li><li>Experience building data pipelines and implementing MLOps practices for model deployment, monitoring, and optimization.</li><li>Strong understanding of data engineering concepts, data preprocessing, feature engineering, and model evaluation methodologies.</li><li>Experience developing and deploying Generative AI applications, foundation models, and LLM-based solutions.</li><li>Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, knowledge management, and AI orchestration frameworks.</li><li>Experience with containerization technologies such as Docker and orchestration platforms such as Kubernetes.</li><li>Familiarity with edge AI deployments, distributed computing environments, and High-Performance Computing (HPC) architectures.</li><li>Experience implementing AI observability, model monitoring, and production support frameworks.</li><li>Strong analytical, problem-solving, and stakeholder management skills.</li><li>Relevant certifications in Artificial Intelligence, Machine Learning, Data Engineering, Cloud Platforms, or related technologies are preferred.</li></ul>

<p>For over seven decades, Chalhoub Group has been a partner and creator of luxury experiences in the Middle East. In its pursuit to excel as a hybrid luxury retailer, the Group has curated a portfolio of over 10 owned brands and strengthened its distribution and marketing expertise for over 400 international names across luxury fashion, beauty, jewellery, watches, eyewear, and art de vivre categories.</p> <p>Every step at Chalhoub Group is taken to build a future where luxury dreams become reality — bridging cultures and crafting memorable experiences for our consumers. Be it by constantly reinventing itself, committing to innovation, or embracing new technologies, the Group is shaping the future of luxury retail. It delivers seamless omnichannel experiences across more than 950 stores, online platforms, and mobile apps. Driving this innovation journey is The Greenhouse — the Group’s innovation hub, incubator, and accelerator for startups and emerging businesses, regionally and globally.</p> <p>Chalhoub Group fosters a people-at-heart culture rooted in diversity, equity, and inclusion, and a workplace catalysed by forward thinking and future-proofing. Today, it brings together over 16,000 talented professionals across eight countries in the Middle East, with a presence in LATAM. Their collective efforts have earned the Group the Great Place to Work® certification in several markets.</p> <p>Sustainability is at the core of the Group’s strategy, guided by a clear commitment to people, partners, and the planet. Chalhoub Group is proud to be a member of the United Nations Global Compact, a signatory of the Women’s Empowerment Principles, and to have pledged to reach Net Zero by 2040.</p> <h4>What you'll be doing</h4> <p>Our Retail Manager is responsible for ensuring that Store Managers maximize the commercial performance of their retail shops and deliver exceptional Guest Experience. Our Retail Manager is also responsible for establishing a bridge between back-office and their network of stores which they control/audit on a continuous basis and implement corrective solutions and actions.</p> <h4>Key Responsibilities</h4> <ul> <li>Understand the brand strategy and cascade within the given network</li> <li>In conjunction with Marketing, ensure the full implementation of the marketing and CX strategies and programs</li> <li>Implement brand guidelines taking in consideration each market specifications</li> <li>Agree on a yearly calendar of sales with commercial team</li> <li>Control discount and margins to ensure constant business profitability</li> <li>Follow up periodically on the sales figures per line and stock at hand (Sell-Out)</li> <li>Manage potential shortages, review orders and inform merchandising team on the status</li> <li>Record, monitor and analyze market trends, competitors activities</li> <li>Provide commercial with quantitative and qualitative reports using data from market studies and inhouse systems</li> <li>Define sales target per sales team member</li> <li>Manage the P&L for the brand at hand</li> <li>Monitor the performance of the brand and send recommendation</li> <li>Manage the organization's resources within budget guidelines</li> <li>Provide prompt, thorough, and accurate information to keep management appropriately informed of the brand’s financial position</li> <li>Develop and motivate team members to ensure transfer of know-how and continuous positive work environment</li> <li>Monitor team members performance and provide formal and informal feedback and appraisal in order to maximize efficiency</li> </ul> <h4>What you’ll need to succeed</h4> <ul> <li>Experience in leading a flagship retail store or multiple retail stores, within fashion retail.</li> <li>Currently based in the KSA. Role will be based in the KSA and require travel time across the region</li> </ul> <h4>What we can offer you</h4> <p>With us, you will turn your aspirations into reality. We will help shape your journey through enriching experiences, learning and development opportunities and exposure to different assignments within your role or through internal mobility. Our Group offers diverse career paths for those who are extraordinary, every day.</p> <p>We recognize the value that you bring, and we strive to provide a competitive benefits package which includes health care, child education contribution, remote and flexible working policies as well as exclusive employee discounts.</p> <h4>We invite all applicants to apply</h4> <p>It takes diversity of thought, culture, background, differing abilities and perspectives to truly inspire, exhilarate and delight our customers. At Chalhoub Group, we are committed to inclusion and diversity.</p> <p>We welcome all applicants to apply and be part of our exciting future. We ensure equal opportunity for all our applicants without regard to gender, age, race, religion, national origin or disability status.</p>

Master works is seeking a Service & Business Transformation, Senior Consultant to lead business process improvement, service transformation, and business innovation activities. Act as the primary expert responsible for operating the Business Development function within Digital Enablement.<br><br>Reporting Line: Operates within the Digital Enablement Department under the direction of the Department Director.<br><br>Key Responsibilities:<br><br> Analyze, document, redesign and optimize business processes (BPI/BPR) Transform business ideas into digitally executable operating models Develop Business Cases and Business Models for new initiatives Identify monetization and public-private partnership opportunities Lead service concept design and high-level service architecture Facilitate workshops with stakeholders and business owners Support concept prototypes from a business perspective Prepare recommendations for Product teams and monitor implementation progress Identify service improvement opportunities across Ministry platforms<br><br>Requirements<br><br>Required Expertise:<br><br> Business Process Management (BPM/BPR) Service Design Thinking Business Model Canvas & Business Case Digital Transformation Stakeholder Management Workshop Facilitation<br><br>Expected Deliverables:<br><br> Business Process Document (54) Business Case Document — per new initiative Business Model Document (Business Model Canvas or any) — per initiative Process Maps (As-is / To-be) and BPR Report — per re-engineered process Service Concept Document (business-level) — per new service Monetization & PPP Opportunities Study — semi-annual or on demand Workshop Summary Report — per workshop Improvement Opportunities Register — living register, updated quarterly Implementation Progress Report — monthly follow-up with Product teams to enhance services<br><br>Job Location: Client site

We are currently seeking a Civil 3D Infrastructure Operator to join our growing team and contribute to the successful delivery of major infrastructure and utility projects.<br>Responsible for developing, managing, and maintaining infrastructure BIM/CAD models using Autodesk Civil 3D to support project design, coordination, and delivery.<br>Key Responsibilities:Develop and maintain Civil 3D models for infrastructure projects. Create and manage surfaces, corridors, grading models, and utility networks. Generate plans, profiles, cross-sections, and quantity take-offs. Coordinate model information with multidisciplinary teams. Ensure compliance with BIM standards, naming conventions, and project requirements. Update models based on design revisions and review comments. Support clash detection and model coordination activities. Produce high-quality design deliverables from Civil 3D models. Maintain data integrity within the Common Data Environment (CDE).<br>Qualifications & Experience:Diploma or Bachelor's Degree in Civil Engineering or a related discipline. Advanced proficiency in Autodesk Civil 3D. Proven experience in infrastructure and utility modeling. Strong understanding of corridor modeling, grading, surfaces, and utility design. Familiarity with BIM workflows and multidisciplinary coordination. Experience working on infrastructure, transportation, utility, or land development projects. Strong communication and teamwork skills. Preferred Experience with Navisworks, Infra Works, ACC/BIM 360, or similar BIM platforms. Experience on major infrastructure or government projects in Saudi Arabia.<br>If you're interested, apply via Linked In Easy Apply or send your CV via email.

???? We’re Hiring |Space Planning & Store Productivity Location: Saudi Arabia Industry: Retail Department: Merchandising / Store Design & Productivity Level: Mid-Senior Level Nama Arabia is looking for a commercially driven Assistant Manager – Space Planning & Store Productivity to lead the development of effective space allocation, store productivity and planogram strategies across our retail formats. The role will focus on maximizing the commercial return of every square metre by connecting sales, margin, inventory, customer demand and store capacity with practical store layouts and category space allocation. Key Responsibilities• Analyse sales, margin, inventory, stock turn and SKU productivity by store and category.• Develop space allocation models by category, sub-category, brand and store format.• Identify over-spaced and under-spaced categories and recommend corrective actions.• Develop store zoning, category adjacencies and customer flow plans.• Create and manage planograms, shelf allocation, facings and fixture capacity.• Build differentiated space models for flagship, large, medium and small store formats.• Align assortment and inventory levels with available selling and fixture capacity.• Identify slow-moving and aged inventory occupying productive selling space and recommend re-space, rationalization or liquidation actions.• Support new store openings, refurbishments and store re-layouts.• Develop temporary space plans for key commercial campaigns such as Ramadan, Eid, Back-to-School, Black Friday and Gifting.• Work closely with Buying, Merchandising, VM, Retail Operations, Supply Chain and Projects teams.• Measure the commercial impact of space initiatives and continuously improve space productivity. Key KPIs• Sales per sq. metre / sq. ft.• Gross margin per sq. metre / sq. ft.• Inventory density• Stock turn and sell-through• SKU productivity• Reduction of aged inventory occupying selling space• Planogram compliance• Incremental sales and margin generated through re-space initiatives Candidate Profile• 5–8+ years of experience in Retail Space Planning, Category Space Management, Merchandise Planning or Store Planning.• Experience within multi-store retail environments.• Experience in Beauty, Fashion, Lifestyle, Department Stores or Specialty Retail is preferred.• GCC / Saudi retail experience is preferred.• Strong analytical and commercial skills with advanced Excel capability.• Experience with space planning / planogram tools such as Blue Yonder/JDA, Spaceman, Dot Activ, Quant, RELEX or similar.• Strong understanding of store productivity, category performance and inventory productivity.• Ability to translate data and commercial insights into practical store actions. What We’re Looking For We are looking for someone who can go beyond display and planogram execution and understand the commercial side of space planning. The ideal candidate should be able to answer:What should go where? How much space should it receive? How much inventory should sit there? And what financial return should that space generate? If you have the relevant experience and are interested in joining a growing retail organization, we would like to hear from you.

Uniqus is a tech-enabled global consulting company that specializes in Accounting & Reporting Consulting (ARC), Governance, Risk & Compliance (GRC), Sustainability & Climate Consulting (SCC), and Tech Consulting by leveraging high-performing global talent. Our consulting solutions are backed by proprietary tech assets.<br>Our global delivery model and tech stack set us apart, enabling us to provide best-in-class solutions in a highly cost-efficient manner.<br>Free from auditor independence conflicts and supported by proprietary technology assets, Uniqus delivers seamless, end-to-end solutions that help clients solve complex business challenges in real time. Our philosophy is to enable talent to be a part of the value creation through an attractive stock option pool.<br>Role : Manager / Associate Director – Financial risk management Location: Riyadh <br>Role Overview We are seeking a dynamic and experienced leader to drive our Financial risk management practice — combining expertise across Market Risk, Credit Risk, Working Capital Optimization, and Regulatory Reporting and more. The role involves leading high-impact projects, advising financial institutions on regulatory change, risk frameworks, and capital optimization, while developing and mentoring cross-functional teams. The ideal candidate brings strong quantitative, regulatory, and consulting acumen, along with a strategic mindset to shape Uniqus’ growing risk and regulatory practice.<br>Key Responsibilities<br>1. Risk Modeling & Valuation Lead development, validation, and documentation of Market Risk and Credit Risk models, including FRTB, VaR, Stressed VaR, ECL, and Stress Testing frameworks. Demonstrate strong understanding of valuation methodologies for Fixed Income, Equity, Derivatives, and Structured Products. Govern end-to-end model lifecycle including business requirement documentation (BRD), validation reports, model governance, and regulatory compliance. Advise clients on model risk management frameworks, model monitoring, and capital computation approaches.<br>2. Regulatory Frameworks & Reporting Lead transformation projects on regulatory reporting, ensuring compliance with Basel III/IV, BCBS 239, ICAAP, ILAAP, and Risk-Based Supervision (RBS) requirements. Drive design and implementation of Regulatory Reporting Frameworks, including data management, validation, governance, and submission. Provide guidance on Reg Tech and Sup Tech adoption to enhance efficiency, accuracy, and automation in risk and regulatory processes. Support regulatory change management and help clients interpret and operationalize evolving requirements.<br>3. Credit Risk & Working Capital Optimization Design and implement credit risk frameworks, credit policies, and risk appetite statements for financial institutions and corporates. Advise corporates on working capital efficiency, cash flow forecasting, liquidity optimization, and trade finance management. Perform portfolio assessments and credit process reviews to identify improvement opportunities and risk mitigation strategies. Partner with clients to enhance decision-making through credit analytics and data-driven risk monitoring tools.<br>4. Client Leadership & Practice Development Serve as a trusted advisor to CXOs and senior stakeholders on risk and regulatory matters. Drive business development efforts — including proposal creation, thought leadership, and client presentations. Mentor and lead consulting teams, fostering a culture of collaboration, excellence, and innovation. Contribute to Uniqus’ go-to-market strategy, intellectual property development, and global delivery model.<br>Qualifications & Experience Education:Master’s or PhD in Quantitative Finance, Financial Engineering, Mathematics, Statistics, Economics, or related field. Professional certifications such as CFA, FRM, PRM, or Actuarial credentials preferred.<br>Experience:6–15 years of relevant experience in consulting firms, financial institutions, or regulatory bodies. Proven expertise in market risk capital computation, credit risk frameworks, and regulatory reporting. Hands-on experience in Basel, ICAAP, FRTB, Stress Testing, and ECL model development. Exposure to risk technology platforms such as Murex, Calypso, Bloomberg, SAS, or equivalent.<br>Technical Skills:Proficiency in Python, R, SAS, and SQL for data analysis and model development. Strong command over data management tools (Excel, Hadoop, Spark) and understanding of machine learning applications in risk analytics.

Uniqus is a tech-enabled global consulting company that specializes in Accounting & Reporting Consulting (ARC), Governance, Risk & Compliance (GRC), Sustainability & Climate Consulting (SCC), and Tech Consulting by leveraging high-performing global talent. Our consulting solutions are backed by proprietary tech assets.<br>Our global delivery model and tech stack set us apart, enabling us to provide best-in-class solutions in a highly cost-efficient manner.<br>Free from auditor independence conflicts and supported by proprietary technology assets, Uniqus delivers seamless, end-to-end solutions that help clients solve complex business challenges in real time. Our philosophy is to enable talent to be a part of the value creation through an attractive stock option pool.<br>Role : Manager / Associate Director – Financial risk management Location: Riyadh <br>Role Overview We are seeking a dynamic and experienced leader to drive our Financial risk management practice — combining expertise across Market Risk, Credit Risk, Working Capital Optimization, and Regulatory Reporting and more. The role involves leading high-impact projects, advising financial institutions on regulatory change, risk frameworks, and capital optimization, while developing and mentoring cross-functional teams. The ideal candidate brings strong quantitative, regulatory, and consulting acumen, along with a strategic mindset to shape Uniqus’ growing risk and regulatory practice.<br>Key Responsibilities<br>1. Risk Modeling & Valuation Lead development, validation, and documentation of Market Risk and Credit Risk models, including FRTB, VaR, Stressed VaR, ECL, and Stress Testing frameworks. Demonstrate strong understanding of valuation methodologies for Fixed Income, Equity, Derivatives, and Structured Products. Govern end-to-end model lifecycle including business requirement documentation (BRD), validation reports, model governance, and regulatory compliance. Advise clients on model risk management frameworks, model monitoring, and capital computation approaches.<br>2. Regulatory Frameworks & Reporting Lead transformation projects on regulatory reporting, ensuring compliance with Basel III/IV, BCBS 239, ICAAP, ILAAP, and Risk-Based Supervision (RBS) requirements. Drive design and implementation of Regulatory Reporting Frameworks, including data management, validation, governance, and submission. Provide guidance on Reg Tech and Sup Tech adoption to enhance efficiency, accuracy, and automation in risk and regulatory processes. Support regulatory change management and help clients interpret and operationalize evolving requirements.<br>3. Credit Risk & Working Capital Optimization Design and implement credit risk frameworks, credit policies, and risk appetite statements for financial institutions and corporates. Advise corporates on working capital efficiency, cash flow forecasting, liquidity optimization, and trade finance management. Perform portfolio assessments and credit process reviews to identify improvement opportunities and risk mitigation strategies. Partner with clients to enhance decision-making through credit analytics and data-driven risk monitoring tools.<br>4. Client Leadership & Practice Development Serve as a trusted advisor to CXOs and senior stakeholders on risk and regulatory matters. Drive business development efforts — including proposal creation, thought leadership, and client presentations. Mentor and lead consulting teams, fostering a culture of collaboration, excellence, and innovation. Contribute to Uniqus’ go-to-market strategy, intellectual property development, and global delivery model.<br>Qualifications & Experience Education:Master’s or PhD in Quantitative Finance, Financial Engineering, Mathematics, Statistics, Economics, or related field. Professional certifications such as CFA, FRM, PRM, or Actuarial credentials preferred.<br>Experience:6–15 years of relevant experience in consulting firms, financial institutions, or regulatory bodies. Proven expertise in market risk capital computation, credit risk frameworks, and regulatory reporting. Hands-on experience in Basel, ICAAP, FRTB, Stress Testing, and ECL model development. Exposure to risk technology platforms such as Murex, Calypso, Bloomberg, SAS, or equivalent.<br>Technical Skills:Proficiency in Python, R, SAS, and SQL for data analysis and model development. Strong command over data management tools (Excel, Hadoop, Spark) and understanding of machine learning applications in risk analytics.

<p>Design, build, and deploy AI/ML solutions that deliver measurable business value for products and services.</p><p>Key Performance Indicators:</p><ul><li>Deliver production-ready AI models</li><li>Improve model accuracy and reliability</li><li>Automate ML pipelines end-to-end</li><li>Ship AI features on schedule</li><li>Document and monitor model performance</li></ul><p><strong>Desired Candidate Profile</strong></p><h2>Qualifications Required</h2><ul><li>5+ years of AI/ML engineering experience</li><li>Hands-on experience with deep learning</li><li>Strong software engineering and MLOps practices</li><li>Experience deploying models to production</li><li>Bachelor s/Master s in Computer Science or related field</li></ul><h2>Qualifications</h2><ul><li>Python</li><li>PyTorch or TensorFlow</li><li>Machine learning</li><li>NLP and computer vision</li><li>MLOps (Docker, CI/CD)</li><li>Model deployment (APIs)</li><li>Data engineering and feature engineering</li><li>Problem-solving</li><li>Ownership and accountability</li><li>Cross-functional collaboration</li></ul>

<p><h4>About Four Seasons:</h4> <p>Four Seasons is powered by our people. We are a collective of individuals who crave to become better, to push ourselves to new heights and to treat each other as we wish to be treated in return. Our team members around the world create amazing experiences for our guests, residents, and partners through a commitment to luxury with genuine heart. We know that the best way to enable our people to deliver these exceptional guest experiences is through a world-class employee experience and company culture.</p> <p>At Four Seasons, we believe in recognizing a familiar face, welcoming a new one and treating everyone we meet the way we would want to be treated ourselves. Whether you work with us, stay with us, live with us or discover with us, we believe our purpose is to create impressions that will stay with you for a lifetime. It comes from our belief that life is richer when we truly connect to the people and the world around us.</p> <h4>About the location:</h4> <p>Soon to be one of the region’s foremost luxury beachside destinations, The Red Sea will comprise of the idyllic natural islands and lagoons across 200 kms of coastline along the western coast of the Kingdom of Saudi Arabia, between the cities of Umluj and Al Wajh. The new Four Seasons Resort will be located on Shura Island, the hub of the development and home to a yacht marina, leisure and lifestyle facilities, retail offerings, 18-hole golf course and more. The Red Sea destination is being built with sustainable practices and tourism at its core, with the masterplan being informed by an impressive marine spatial planning simulation to model the environmental impact of development and operations to minimize over-tourism while providing guests with an exceptional travel and lifestyle experience. The destination will also rely on renewable energy and will only develop a small portion of the islands with expansive dedicated conservation zones.</p> <p>The new Four Seasons Resort will offer approximately 149 rooms and suites, all with uninterrupted views over white sand beaches and crystal-clear waters. The property will also feature six restaurant and lounge outlets, meeting and events spaces, a marine discovery centre, Kids for All Seasons space and much more. Whether looking for rest and relaxation or sport and water activities, there will be something for everyone, including a full-service spa with a hammam, tennis courts, three outdoor pools with cabanas, and two separate beaches for families and adults perfect for soaking in the sun or diving down to explore the coral reefs.</p> <h4>About the role:</h4> <p>As a Front Office Supervisor at Four Seasons Red Sea, you will lead by example in delivering exceptional guest service. You will oversee the daily operations of the Front Desk, support and guide Receptionists, and ensure every guest receives a warm welcome, smooth check-in/out process, and personalized attention throughout their stay. Your leadership will be key in maintaining Four Seasons' service standards and creating memorable guest experiences.</p> <h4>Key responsibilities:</h4> <ul> <li>Supervise daily Front Desk operations and ensure a seamless guest experience.</li> <li>Assist with training, coaching, and supporting Front Desk staff.</li> <li>Handle guest concerns professionally and resolve issues promptly.</li> <li>Monitor shift checklists, ensure accuracy in billing, and maintain smooth communication with other departments.</li> <li>Uphold Four Seasons standards of service, grooming, and professionalism.</li> </ul> <h4>Knowledge and skills:</h4> <ul> <li>Strong interpersonal and communication skills in both Arabic and English.</li> <li>Minimum 1–2 years of experience in a front office or guest-facing supervisory role.</li> <li>Knowledge of Opera PMS or similar hotel systems preferred.</li> <li>Excellent problem-solving abilities and guest service mindset.</li> <li>Ability to remain calm and efficient under pressure.</li> <li>Locals only as per the Saudi labour law.</li> </ul> <h4>What to expect from your Four Seasons career:</h4> <ul> <li>Competitive basic salary</li> <li>Live-out allowance</li> <li>Travel allowance (if applicable)</li> <li>30 days of paid annual vacation</li> <li>10 public holidays per year</li> <li>Complimentary employee meals</li> <li>Medical and life insurance coverage</li> <li>Employee assistance program</li> <li>Complimentary room nights at Four Seasons hotels worldwide</li> <li>Laundry/dry cleaning services for work attire</li> <li>Career growth & development opportunities</li> </ul></p><p></p>

Ayo is an early-stage Saudi fintech startup building a new consumer financial product for the Saudi market.<br>We are looking for a full-time Co-Founder & CFO to join the founding team and take ownership of Ayo’s financial direction from the ground up.<br>This is not a traditional CFO role inside an established company. There is no finished model, mature finance function, or fixed playbook. You will help build the financial foundation, challenge the business model, shape the capital strategy, and make decisions with the founding team as the company moves toward launch and fundraising.<br>What You Will Own<br>Build and maintain Ayo’s financial operating model Own cash flow, runway, budgeting, and capital planning Develop unit economics and transaction-level profitability Model portfolio performance, credit losses, liquidity, and downside scenarios Lead fundraising preparation, valuation work, and investor financial materials Structure the economics of strategic and financial partnerships Build treasury, reporting, controls, and financial governance Translate product, growth, and operating decisions into financial impact Work closely with the CEO and CTO on company-level decisions Build Ayo’s finance function as the company grows<br><br><br>Who We Are Looking For<br>You should have strong experience in one or more of the following:<br>Fintech Consumer finance Lending or BNPLTreasury Structured finance Capital planning Portfolio finance Financial planning within a finance company<br><br><br>You must be able to build financial models from zero, not only review models prepared by others.<br>You should be comfortable working in an early-stage environment where information is incomplete, priorities move quickly, and ownership matters more than job titles.<br>We are looking for someone who can think strategically, execute independently, challenge assumptions, and take full responsibility for the financial side of the company.<br>Founder Commitment ( Very Important)<br>This is a full-time co-founder opportunity.<br>The role is currently equity-based, with no salary before funding. We are looking for someone who understands the risk and commitment that come with joining at this stage and is ready to build alongside the founding team.<br>The selected person will be expected to transition into Ayo full-time within an agreed period and contribute exclusively to the company.<br>Equity will be structured based on the role, expected contribution, long-term commitment, and an agreed vesting schedule.<br>This is not an advisory, consulting, freelance, or part-time position.<br>Riyadh-based candidates are required.

BIM Model Development Develop detailed BIM models based on project requirements, ensuring they are accurate and meet design specifications. Follow established BIM standards, protocols, and workflows to maintain consistency and quality across all project models. Collaboration and Coordination Work closely with architects, engineers, and other stakeholders to ensure seamless integration of BIM across all disciplines and resolve any design conflicts. Promote knowledge sharing and collaboration among project teams, serving as a liaison for BIM-related inquiries. Quality Assurance Regularly audit BIM models and documentation to ensure compliance with project specifications and standards, identifying any discrepancies. Implement quality control processes and assist in corrective actions when issues are identified in BIM documentation. Technical Support and Training Offer technical support to team members on BIM software and processes, ensuring everyone is equipped to utilize BIM effectively. Attend training and professional development sessions to stay current on the latest BIM technologies and tools, applying improvements as needed. Data Management Organize and maintain BIM data and documentation, ensuring that it is accessible and up-to-date for all project stakeholders. Prepare and contribute to reports on BIM performance and project status, providing insights to support decision-making.<br>The Architectural BIM Coordinator will support both the Architecture and BIM teams by combining strong architectural BIM expertise with multidisciplinary BIM coordination. The role requires experience in architectural modeling, documentation, and design development while supporting model federation, clash detection and resolution, model QA/QC, compliance with BIM standards, and coordination with internal and external stakeholders. The position is intended to strengthen both architectural delivery and BIM coordination and is not expected to assume the full responsibilities of a dedicated Senior BIM Coordinator or BIM Architect