Model Jobs in Saudi

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Description: AI / ML Engineer Job Title: AI / ML Engineer Experience: 3 11 Years Location: Riyadh (Onsite) Employment Type: Full-Time Job Overview We are seeking a skilled AI / ML Engineer with 3 11 years of experience to design, develop, deploy, and optimize machine learning and generative AI solutions. The ideal candidate will have hands-on expertise in building scalable AI/ML models, working with cloud-native AI platforms, and implementing production-ready machine learning pipelines. Experience with modern AI frameworks, large language models (LLMs), and MLOps practices is highly desirable. Key Responsibilities Design, develop, train, and deploy machine learning and deep learning models for enterprise applications. Build and optimize end-to-end ML pipelines for data ingestion, model training, evaluation, and deployment. Develop Generative AI and LLM-powered applications using modern AI frameworks. Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions. Deploy and monitor ML models on cloud platforms while ensuring scalability, reliability, and security. Optimize model performance through feature engineering, hyperparameter tuning, and continuous evaluation. Implement MLOps best practices including model versioning, monitoring, and CI/CD automation. Stay current with advancements in AI, machine learning, and cloud AI services. Required Technical Skills Cloud AI Platforms Hands-on experience with GCP Vertex AI or Azure Machine Learning or AWS SageMaker . Experience with Azure OpenAI or AWS Bedrock for Generative AI solutions. Experience with BigQuery ML and Dataflow for data processing and machine learning workflows. Programming &amp; Machine Learning Strong proficiency in Python . Experience developing machine learning solutions using TensorFlow or PyTorch . Strong understanding of supervised, unsupervised, reinforcement learning, and deep learning concepts. Generative AI &amp; LLM Frameworks Experience with Hugging Face and LangChain for building LLM-powered applications. Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases is preferred. Data Engineering &amp; Analytics Experience with Databricks for data engineering, model development, and analytics workflows. Strong understanding of data preprocessing, feature engineering, and large-scale data processing. MLOps &amp; Deployment Experience deploying machine learning models into production. Knowledge of Docker, Kubernetes, CI/CD pipelines, and model monitoring is an advantage. Qualifications Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field. 3 11 years of professional experience in AI, Machine Learning, or Data Science. Strong analytical, mathematical, and problem-solving skills. Experience working in Agile development environments. Excellent communication and collaboration skills. Preferred Skills Experience with Large Language Models (LLMs) and Generative AI applications. Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents. Experience with distributed model training and cloud-native AI architectures. Cloud certifications in AWS, Azure, or Google Cloud are a plus. Key Technology Stack Cloud AI: GCP Vertex AI or Azure Machine Learning or AWS SageMaker Generative AI: Azure OpenAI or AWS Bedrock and Large Language Models (LLMs) Data Processing: BigQuery ML and Dataflow and Databricks Programming: Python Machine Learning Frameworks: TensorFlow or PyTorch LLM Frameworks: Hugging Face or LangChain MLOps: Docker and Kubernetes and CI/CD (Preferred) Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Qualifications</h2><p>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.</p><p>3 11 years of professional experience in AI, Machine Learning, or Data Science.</p><p>Strong analytical, mathematical, and problem-solving skills.</p><p>Experience working in Agile development environments.</p><p>Excellent communication and collaboration skills.</p><h2>Preferred Skills</h2><p>Experience with Large Language Models (LLMs) and Generative AI applications.</p><p>Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents.</p><p>Experience with distributed model training and cloud-native AI architectures.</p><p>Cloud certifications in AWS, Azure, or Google Cloud are a plus.</p><p></p></section>

Company Overview:BFL Group is one of the world’s leading off-price retailer of fashion and homeware. With headquarters based in United Arab Emirates, we serve over markets across the region and in Europe. Our goal is to delight customers and entice them back with the promise of exceptional pieces that excite – all at up to 80% off the original retail price for fashion designer brands. Our unique “Treasure Hunt” model ensures there is always something new to explore, desire and discover within our stores. Our customers walk out with new items every time they visit any of our stores.<br>Responsibilities:in the planning and execution of marketing campaigns to promote brand awareness and drive customer engagement.with cross-functional teams to ensure seamless campaign implementation.to content creation for various marketing channels, including social media, email campaigns, and website.in developing engaging and relevant marketing collateral.in managing and growing our social media presence.social media channels, engage with the audience, and generate creative content ideas.market research to stay updated on industry trends and competitor activities.insights to support marketing strategies.in organizing and coordinating events, both physical and virtual.logistics and ensure events align with marketing objectives.in tracking and analysing marketing performance metrics. Prepare reports summarizing<br>Requirements:in both English and Arabic.a degree in Translation, Linguistics, Communications, or related field.written and verbal communication skills in both languages.to detail and commitment to delivering high-quality translations.for E-Commerce and digital content.

<p>Looking for an AI Engineer to Develop, deploy, and operate AI/LLM models across Clinets dual environment GCP for public-cloud workloads, Humain sovereign cloud for classified data. Build and fine-tune LLM/ML models for Arabic NLP, document classification, vision/OCR, and AIOps use cases. Run pre-deployment evaluation Accuracy baselines, regression and safety testing; evidence to justify GPU allocation. Optimize inference quantization, batching, context sizing against measured usage. Deploy on Humain GPUaaS: Kubernetes, GPU partitioning on B300 nodes, quotas, RBAC. Build equivalent workloads on GCP (Vertex AI, GKE) with classification-based routing. Own serving stack (vLLM/TGI), model versioning, CI/CD, and monitoring for latency, tokens, GPU utilization, and drift. Ensuring developed AI Models Complying with ZATCA data sovereignty and SDAIA requirements (AI Ethics, GenAI Guidelines, PDPL).</p><p><strong>Desired Candidate Profile</strong></p><p>5 years ML/AI engineering, in production LLM deployment with knowledge in Python, PyTorch, Hugging Face Kubernetes in production; GPU-served inference GCP Vertex AI or any equivellent cloud</p>

<p><b><br></b></p><p><b>Job summary/purpose</b></p><p>A sMiu Miu Client Advisor, You guarantee an extraordinary and memorable luxury customer experience, placing the Clients at the center, discovering their needs and expectations, fostering meaningful relationships, serving as a Brand Ambassador. You convey and promote the Brand philosophy and Values to the final Clients guiding them into the world of Prada / Miu Miu Brand. You hold yourself accountable to achieve your individual and store sales target, acting as proactive player in ensuring the best service and responding to the customer needs, both in store and on e-commerce channel.</p><p>Responsibilities</p><ul><li>Place the Customer at the center, creating a welcoming environment and striving to meet their every need and request, providing them with an excellence service in accordance to the client journey ceremony ;</li><li>Be driven to exceed individual sales targets and maximize own sales performances contributing to the success of the entire store;</li><li>Be driven to exceed KPI goals, ensuring the highest quality of sales and customer service;</li><li>Demonstrate an excellence knowledge of the products as well as Prada / Miu Miu history, culture and DNA;</li><li>Capture Customer data into the Company CRM with the purpose of connecting to the client, maintaining and developing the relationships to offer a personalized approach and develop future opportunities;</li><li>Follow up with the Clients, using the CRM tools, in order to strengthen thelong term relationship with clients;</li><li>Host and conduct appointments either in presence or leveraging technology to do virtual appointments;</li><li>Embrace and promote the Omni Channel mindset;</li><li>Build and maintain an ample knowledge of the world of luxury fashion by being constantly informed on fashion trends and competitors, with the purpose to be able to discuss them with the clients and to give advises;</li><li>Take ownership of resolving Client complaints liaising with the line manager and Client Service team, when necessary;</li><li>Operate with the highest level of care and respect for the Products;</li><li>Utilize Company digital tools actively to offer a complete and integrated luxury experience;</li><li>Work in synergy with the Back of House, participating to the daily operations of the store and maintaining an organized stock room;</li><li><br></li></ul><p><strong>Desired Candidate Profile</strong></p><p>A sMiu Miu Client Advisor, You guarantee an extraordinary and memorable luxury customer experience, placing the Clients at the center, discovering their needs and expectations, fostering meaningful relationships, serving as a Brand Ambassador. You convey and promote the Brand philosophy and Values to the final Clients guiding them into the world of Prada / Miu Miu Brand. You hold yourself accountable to achieve your individual and store sales target, acting as proactive player in ensuring the best service and responding to the customer needs, both in store and on e-commerce channel.</p><ul><li>Place the Customer at the center, creating a welcoming environment and striving to meet their every need and request, providing them with an excellence service in accordance to the client journey ceremony ;</li><li>Be driven to exceed individual sales targets and maximize own sales performances contributing to the success of the entire store;</li><li>Be driven to exceed KPI goals, ensuring the highest quality of sales and customer service;</li><li>Demonstrate an excellence knowledge of the products as well as Prada / Miu Miu history, culture and DNA;</li><li>Capture Customer data into the Company CRM with the purpose of connecting to the client, maintaining and developing the relationships to offer a personalized approach and develop future opportunities;</li><li>Follow up with the Clients, using the CRM tools, in order to strengthen thelong term relationship with clients;</li><li>Host and conduct appointments either in presence or leveraging technology to do virtual appointments;</li><li>Embrace and promote the Omni Channel mindset;</li><li>Build and maintain an ample knowledge of the world of luxury fashion by being constantly informed on fashion trends and competitors, with the purpose to be able to discuss them with the clients and to give advises;</li><li>Take ownership of resolving Client complaints liaising with the line manager and Client Service team, when necessary;</li><li>Operate with the highest level of care and respect for the Products;</li><li>Utilize Company digital tools actively to offer a complete and integrated luxury experience;</li><li>Work in synergy with the Back of House, participating to the daily operations of the store and maintaining an organized stock room;</li><li>Act in compliance to Company procedures on operational guidelines and stock procedures, as well as security, cash activity, inventory, logistics and all main reporting activities requested by head office, ensuring that Company policies and procedures are proactively executed;</li><li>Work as a team player and partner with fellow colleagues, foster open and constructive communication, to ensure a consistent exceptional experience and contribute to a positive working environment, embracing Diversity and inclusion values.</li></ul>

Company Overview<br>BFL Group is one of the world’s leading off-price retailers of fashion and homeware. With headquarters based in the United Arab Emirates, we serve multiple markets across the region and Southeast Asia.<br>Our goal is to delight customers and entice them back with the promise of exceptional pieces that excite, all at up to 80% off the original retail price for fashion designer brands. Our unique “Treasure Hunt” model ensures there is always something new to explore, desire, and discover within our stores. Our customers walk out with new items every time they visit any of our stores.<br>Job Title: Last Mile Supervisor Responsibilities:Supervise and lead a team of last-mile delivery personnel. Provide guidance, support, and training to ensure a high level of performance. Efficiently plan delivery routes to optimize time and resources. Monitor and adjust routes as needed to accommodate changes or challenges. Oversee the last-mile delivery process to ensure on-time and accurate deliveries. Address and resolve any delivery-related issues or delays. Ensure a positive customer experience throughout the delivery process. Monitor key performance indicators (KPIs) related to last-mile delivery. Implement strategies to improve delivery efficiency and customer satisfaction. Coordinate with maintenance teams to ensure delivery vehicles are in optimal condition. Schedule routine maintenance and inspections.<br>Education Qualification:Bachelor's degree in Logistics, Supply Chain Management, Business Administration, or a related field. Min 2 years of experience in last-mile delivery operations, with a proven track record. Additional certification in Logistics Management or a relevant field is desirable. Strong knowledge of last-mile delivery processes, route optimization, logistics management and knowledge about Saudi geographic. Team management skills with the ability to provide guidance and support. Effective communication skills to address and resolve delivery-related issues. Familiarity with delivery tracking systems and technology to enhance delivery efficiency.

Who Are We❓<br><br>We Are Foodics! a leading restaurant management ecosystem and payment tech provider. Founded in 2014 with headquarter in Riyadh and offices across 5 countries, including UAE, Egypt, Jordan and Kuwait. We are currently serving customers and partners in over 35 different countries worldwide. Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far! making Foodics one of the most rapidly evolving Saa S companies to ever emerge from the MENA region. Also Foodics has achieved three rounds of funding, with the latest raising $170 million in the largest Saa S funding round in MENA, boosting its innovation capabilities to better serve business owners.<br><br>The Job in a Nutshell????<br><br>You will lead the design, development, and deployment of ML/AI/Gen AI models that power core Foodics products (e.g., pricing, personalization, fraud detection). You'll collaborate with Data Engineers, Product Managers, and Platform teams to deliver production-grade models with real impact.<br><br>What Will You Do❓<br><br>Own end-to-end ML model lifecycle: problem framing, data exploration, training, deployment, monitoring Design and develop scalable solutions using classical ML and Gen AI techniques Implement MLOps best practices: versioning, reproducibility, monitoring, CI/CD for models Collaborate with squads and platform teams to ensure reusability and adherence to standards Mentor junior ML engineers and contribute to the internal ML knowledge base Integrate models with APIs and backend services as needed Embrace and enforce a "you build it, you run it" approach, owning the full lifecycle of ML models from development through monitoring and continuous improvement<br><br>What Are We Looking For❓<br><br>5+ years' experience in applied ML, AI, or data science Strong proficiency in Python and ML/AI libraries (e.g., scikit-learn, PyTorch, Tensor Flow, XGBoost, Hugging Face Transformers) Experience with MLOps tools (e.g., MLflow, Sage Maker) and managing versioning, testing, and observability Deep understanding of model development workflows including feature engineering, hyperparameter tuning, model evaluation, and A/B testing Deep understanding of statistical modeling, statistical inference, and the appropriate application of statistical tests (e.g., t-test, chi-square, ANOVA, regression analysis); ability to interpret results and communicate implications to both technical and non-technical audiences Proven track record of deploying ML models in production at scale Knowledge of ML best practices including bias mitigation, explainability (e.g., SHAP, LIME), and model monitoring for drift and fairness Strong understanding of data pipelines, experimentation, and model evaluation Familiarity working in a cloud-native environment (AWS preferred) with CI/CD, Git Ops, and IaC tools (e.g., Terraform, CDK) Hands-on experience with Gen AI / LLM integration (e.g., RAG, fine-tuning, embeddings, prompt engineering) and tools such as Lang Chain, Lang Graph, or Llama Index<br><br>What We Offer You❗<br><br>We believe you will love working at Foodics!<br><br>We have an inclusive and diverse culture that encourages innovation We offer highly competitive compensation packages, including bonuses and the potential for shares We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment Join a talented team of over 30 nationalities working in 14 countries, and gain valuable experience in an exciting industry We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company

<h3 >About the Senior AI Engineer Role</h3> <p >Ejada is seeking a <strong >Senior AI Engineer</strong> to join our team in Riyadh, Saudi Arabia. This full-time role is central to designing, developing, deploying, and optimizing advanced Artificial Intelligence solutions that drive business transformation and innovation initiatives. The successful candidate will provide technical leadership in implementing Machine Learning models, Large Language Models (LLMs), Agentic AI solutions, AI Operations (AIOps), and enterprise-scale AI platforms, ensuring scalability, reliability, security, and measurable business value.</p> <h3 >Core Responsibilities</h3> <ul > <li >Design, develop, and deploy AI and Machine Learning solutions to address business and operational challenges.</li> <li >Build and optimize Generative AI applications leveraging Large Language Models (LLMs) and enterprise AI frameworks.</li> <li >Design and implement Retrieval-Augmented Generation (RAG) architectures using vector databases and knowledge retrieval technologies.</li> <li >Develop Agentic AI solutions utilizing multi-agent frameworks and orchestration platforms.</li> <li >Build, maintain, and optimize APIs and backend services supporting AI-driven applications.</li> <li >Implement and manage AI model deployment, serving, monitoring, and lifecycle management processes.</li> <li >Establish MLOps and AIOps best practices to ensure reliable model delivery and operational excellence.</li> <li >Design and maintain scalable data pipelines, feature engineering workflows, and AI-ready data architectures.</li> <li >Optimize AI inference performance, model serving infrastructure, and resource utilization.</li> <li >Collaborate with business stakeholders, data engineers, architects, and technology teams to identify and implement AI use cases.</li> <li >Implement monitoring, observability, and evaluation frameworks to track AI model quality, performance, and reliability.</li> <li >Support cloud-native AI deployments and infrastructure across public cloud platforms.</li> <li >Provide technical guidance, mentorship, and knowledge sharing to engineering teams.</li> <li >Contribute to AI strategy, architecture standards, governance practices, and innovation initiatives.</li> </ul> <h3 >Minimum Qualifications</h3> <ul > <li >Bachelor's Degree in a relevant field.</li> <li >Professional certifications in Artificial Intelligence, Machine Learning, Data Science, Data Engineering, or Cloud Platforms.</li> </ul> <h3 >Required Experience</h3> <ul > <li >A minimum of <strong >5 years of experience</strong> in Artificial Intelligence, Machine Learning, Data Engineering, or Software Engineering.</li> <li >Proven experience in designing and deploying AI/ML solutions in enterprise environments.</li> <li >Hands-on experience with LLMs, Generative AI, RAG-based architectures, MLOps practices, and cloud platforms.</li> </ul> <h3 >Key Technical Skills</h3> <ul > <li >Proficiency in Python Programming, Advanced SQL, API Development, and integration.</li> <li >Expertise in Large Language Models (OpenAI, Azure OpenAI, Hugging Face), Retrieval-Augmented Generation (RAG), Vector Databases (Qdrant, Pinecone, Chroma), LangChain, LangGraph, and Multi-Agent Systems.</li> <li >Strong skills in Machine Learning, Advanced Analytics, Kubernetes, Docker, CI/CD Pipelines, MLOps, vLLM, Model Serving, and AI Inference Optimization.</li> <li >Experience with Data Engineering Tools (Airflow, Kafka, ETL Pipelines).</li> <li >Experience with Cloud Platforms (AWS, Microsoft Azure, Google Cloud Platform).</li> <li >Familiarity with AI Monitoring and Evaluation Tools (LangFuse, MLflow, Prometheus, Grafana).</li> <li >Knowledge of AI Platform Engineering, AIOps, Enterprise Data Management, and Data Architecture.</li> </ul> <h3 >Professional Competencies</h3> <ul > <li >Strong analytical and problem-solving capabilities.</li> <li >Excellent troubleshooting skills.</li> <li >Effective communication and stakeholder management abilities.</li> <li >Demonstrated technical leadership.</li> </ul>

BUSINESS INTRODUCTIONMajid Al Futtaim Holding is the leading shopping mall, retail, communities, entertainment developer and operator in the Middle East, North Africa, and Central Asia regions. With over 43,000 people, revenues of over US$ 11 Billion, and operations in 18 countries. Some of the iconic brands we carry include Mall of the Emirates, Carrefour, All Saints, Lego, City Center, Abercrombie & Fitch, & Vox Cinemas. We believe in making Great Moments for Everyone, Every day<br>JOB TITLESales Associate | Majid Al Futtaim Lifestyle | Operations<br>ROLE PROFILE:Be The Ultimate Champion of Customer Service Standards in Line with Majid Al Futtaim Guidelines, Understanding Customer Needs and Enabling the Fulfilment of an Exceptional Experience for The Customer. Ensure Customer Concerns Are Addressed Promptly and Professionally and Escalated in A Timely Manner to the Store Manager, When Necessary, Keep the Customer in Mind Through All Interactions. Achieve Set Sales Targets and Use Creative Ways to Exceed the Same, Keeping the Customer in Mind. Contribute To Enhanced Sales Targets with Thorough Product Knowledge, Taking Opportunities to Up Sell and Cross Sell. Ensure Store Standards Are Maintained at All Times, Supporting with Instore Tasks Including but Not Limited to Cleanliness, Tidiness and Replenishment. Comply With All Store Security Policies and Regulations, Minimizing Exposure to Stock Loss. Use Advanced Selling Skills in Order to Better Support the Customer’s Needs, Generate High Value Transactions, And Build a Consistent Flow of Repeat Custom Recommend, Select, And Help Locate or Obtain Merchandise Based on Customer Need in Other Majid Al Futtaim Fashion Brands and Stores, If Not Available Instore.<br>REQUIREMENTS:High School Certificate1-2 Years Industry Experience Good Communication Skills Excellent Customer Service<br>WHAT WE OFFERAt Majid Al Futtaim, we’re on a mission to create great moments, to spread happiness, to build, experiences that stay in our memories for a lifetime. We’re proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us! Work in a friendly environment, where everyone shares positive vibes and excited about our future. Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.

BUSINESS INTRODUCTIONMajid Al Futtaim Holding is the leading shopping mall, retail, communities, entertainment developer and operator in the Middle East, North Africa, and Central Asia regions. With over 43,000 people, revenues of over US$ 11 Billion, and operations in 18 countries. Some of the iconic brands we carry include Mall of the Emirates, Carrefour, All Saints, Lego, City Center, Abercrombie & Fitch, & Vox Cinemas. We believe in making Great Moments for Everyone, Every day<br>JOB TITLESales Associate | Majid Al Futtaim Lifestyle | Operations<br>ROLE PROFILE:Be The Ultimate Champion of Customer Service Standards in Line with Majid Al Futtaim Guidelines, Understanding Customer Needs and Enabling the Fulfilment of an Exceptional Experience for The Customer. Ensure Customer Concerns Are Addressed Promptly and Professionally and Escalated in A Timely Manner to the Store Manager, When Necessary, Keep the Customer in Mind Through All Interactions. Achieve Set Sales Targets and Use Creative Ways to Exceed the Same, Keeping the Customer in Mind. Contribute To Enhanced Sales Targets with Thorough Product Knowledge, Taking Opportunities to Up Sell and Cross Sell. Ensure Store Standards Are Maintained at All Times, Supporting with Instore Tasks Including but Not Limited to Cleanliness, Tidiness and Replenishment. Comply With All Store Security Policies and Regulations, Minimizing Exposure to Stock Loss. Use Advanced Selling Skills in Order to Better Support the Customer’s Needs, Generate High Value Transactions, And Build a Consistent Flow of Repeat Custom Recommend, Select, And Help Locate or Obtain Merchandise Based on Customer Need in Other Majid Al Futtaim Fashion Brands and Stores, If Not Available Instore.<br>REQUIREMENTS:High School Certificate1-2 Years Industry Experience Good Communication Skills Excellent Customer Service<br>WHAT WE OFFERAt Majid Al Futtaim, we’re on a mission to create great moments, to spread happiness, to build, experiences that stay in our memories for a lifetime. We’re proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us! Work in a friendly environment, where everyone shares positive vibes and excited about our future. Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.

<h3 >About the Role</h3> <p >ABIS is seeking an <strong >Associate Data Scientist</strong> to join our team, supporting Saudi Aramco SMP in Dhahran. This full-time position requires 5-10 years of experience and focuses on advanced AI and Machine Learning solutions within an enterprise environment.</p> <h3 >Role Overview</h3> <p >The Associate Data Scientist will be instrumental in developing and deploying cutting-edge AI/ML models. The role involves working with large language models (LLMs), Generative AI technologies, and cloud platforms to deliver robust data science solutions. This position requires a professional who can integrate modern MLOps practices within complex enterprise settings.</p> <h3 >Key Responsibilities</h3> <ul > <li >Develop and deploy AI/ML models within enterprise environments.</li> <li >Work with Large Language Models (LLMs) and Generative AI technologies.</li> <li >Utilize cloud platforms and containerization for data science solutions.</li> <li >Implement modern MLOps practices to ensure efficient model lifecycle management.</li> </ul> <h3 >Required Qualifications and Experience</h3> <ul > <li >Bachelor's degree in Computer Science or an equivalent field.</li> <li >5-10 years of professional experience in a related data science or AI role.</li> <li >Hands-on experience in Machine Learning, LLMs, Generative AI, and MLOps/LLMOps.</li> <li >Experience with CI/CD tools such as Git, Jenkins, and ArgoCD.</li> </ul> <h3 >Technical and Professional Skills</h3> <ul > <li >Strong knowledge of Python and SQL.</li> <li >Experience with Kubernetes, Docker, and cloud platforms like GCP or OpenShift.</li> <li >Familiarity with Hugging Face, NVIDIA GPUs, NIMs, and distributed AI environments is highly preferred.</li> <li >Excellent communication, collaboration, and project management skills.</li> </ul> <h3 >Work Environment and Location</h3> <p >This full-time Associate Data Scientist position is based in Dhahran, Saudi Arabia, supporting Saudi Aramco SMP. We are seeking a dedicated professional to contribute to our advanced data science initiatives within a dynamic enterprise setting.</p>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About Tamm</h3> <p style="margin:0 0 12px; ************;">Tamm operates as an all-in-one e-commerce platform designed for online selling across Saudi Arabia. The platform provides sellers with essential tools including a storefront, payment processing, ZATCA-compliant e-invoicing, and delivery services. Additionally, Tamm manages its own print-on-demand factory in Dammam, which enables individuals to launch brands without requiring inventory or significant capital. The core mission is to transform designs into viable businesses on demand, eliminating the need for warehouses, upfront costs, or associated risks.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">The Role: AI Research Engineer</h3> <p style="margin:0 0 12px; ************;">Tamm is seeking an <strong style="font-weight:700;">AI Research Engineer</strong> to join its team in Saudi Arabia. This is a full-time, 100% remote position suitable for candidates with 0-1 years of experience. The primary focus of this role is to own and develop the model layer that ensures Tamm's AI capabilities are production-ready. This involves the fine-tuning, evaluation, and deployment of AI models for various real-world product applications across the platform.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Fine-tune, evaluate, and deploy AI models for specific product use cases, including the seller assistant, generative design and copy, and the agentic store builder.</li> <li style="margin:0 0 6px;">Develop and maintain the evaluation harness to ensure consistent model quality as features are shipped.</li> <li style="margin:0 0 6px;">Optimize the model layer to enhance quality, reduce latency, and manage cost efficiency.</li> <li style="margin:0 0 6px;">Collaborate closely with the product team to ensure that research initiatives translate into implemented features.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications</h3> <p style="margin:0 0 12px; ************;">Candidates should be Applied ML / LLM engineers with practical experience in model fine-tuning and deployment.</p> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Strong proficiency in Python and the ML stack, including PyTorch, Hugging Face, and similar frameworks.</li> <li style="margin:0 0 6px;">An evaluation-first mindset, emphasizing measurement before deployment.</li> <li style="margin:0 0 6px;">A production-focused approach to development, prioritizing practical application over theoretical concepts.</li> <li style="margin:0 0 6px;">Comfort across the entire model lifecycle, encompassing data handling, training, serving, and monitoring.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Preferred Skills and Experience</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Experience with RAG (Retrieval-Augmented Generation) and retrieval systems.</li> <li style="margin:0 0 6px;">Expertise in inference optimization techniques.</li> <li style="margin:0 0 6px;">Prior experience with model hosting on platforms such as AWS or Kubernetes.</li> <li style="margin:0 0 6px;">Sufficient knowledge of TypeScript to facilitate integration with product development.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Environment</h3> <p style="margin:0 0 12px; ************;">The team operates as a small, senior, and fast-paced unit. Individuals in this role are expected to own outcomes rather than solely managing tasks. AI is leveraged to handle significant development efforts, which minimizes busywork and reduces the need for frequent meetings. This is a 100% remote, full-time position.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <div dir="rtl"><p><b> فرصة عمل – مندوب توصيل</b></p><p><b> تعلن شركة للخدمات اللوجستية عن توفر فرص عمل لمندوبي التوصيل داخل المملكة العربية السعودية.</b></p><p><b> المزايا:</b></p><ul><li><b>راتب 2,800 ريال سعودي.</b></li><li><b>سيارة موديل 2024 أو أحدث من الشركة.</b></li><li><b>البنزين على الشركة.</b></li><li><b>سكن على الشركة.</b></li><li><b>إنترنت واتصال.</b></li><li><b>منطقة عمل مخصصة بمسافات قصيرة.</b></li><li><b>إمكانية مضاعفة الطلبات في الرحلة الواحدة.</b></li><li><b>الطلبات الإضافية يتم احتسابها حسب نظام الشركة.</b></li></ul><p><b> المتطلبات:</b></p><ul><li><b>إقامة سارية داخل المملكة.</b></li><li><b>رخصة قيادة سارية.</b></li><li><b>الالتزام والجديّة في العمل.</b></li></ul><p><b> للتقديم والاستفسار: يرجى التواصل معنا.</b></p></div> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><div dir="rtl"><p><b>خبره فى مجال التوصيل </b></p></div></div>

POSITION OBJECTIVE<br><br> Achieve company objectives, ensuring the highest levels of customer service are provided by retail staff and ensure they have the skills and support required for maximizing sales Implement operating procedures at the store as per the company and Brand standards Promote the Loyalty Program of the company for maximizing loyalty and repeat sales Provide feedback to the Area Manager and Operations Manager with regards to employees and products<br><br>Key Responsibilities<br><br> Brief and guide the staff on achievement of the daily / weekly / monthly sales target Must be fashionable / well-groomed and possess up-to-date product knowledge to ensure minimal stock loss Maintains knowledge of new product, trend and fashion directives at all times in order to effectively respond to and anticipate customer needs Ensure minimal stock loss manage stockrooms Implement the operating procedures at the store and ensure the brand and company’s policies and procedures are adhered by all the staff at all the times Apply creative techniques to achieve / exceed the store sales target Ensure has the required stock levels to maximize the sales Weekly audit the store administration and resolve discrepancies if any Manage the daily roaster, leave and grievances of the retail staff Maintain the visual merchandising standards at the stores all the time as per set VM standards Promote the Club Apparel Loyalty Program of the company for repeat sales Supervise the store and provide feedback to the Area Manager with regards to the employees and products Ensure awareness and vigilance at all times of security in the store without any negligence Must be updated about the various brands of the group for suggestive selling to the customers End to end store operations responsibility Must be physically fit to stand for extended hours and heavy lifting

BUSINESS INTRODUCTIONMajid Al Futtaim Holding is the leading shopping mall, retail, communities, entertainment developer and operator in the Middle East, North Africa, and Central Asia regions. With over 43,000 people, revenues of over US$ 11 Billion, and operations in 18 countries. Some of the iconic brands we carry include Mall of the Emirates, Carrefour, All Saints, Lego, City Center, Abercrombie & Fitch, & Vox Cinemas. We believe in making Great Moments for Everyone, Every day.<br>JOB TITLECustomer Care Representative | MAF Life Style | Customer Care<br>ROLE SUMMARYRole Purpose: The Customer Care Representative is responsible for maximizing company sales growth and profitability by overseeing the daily routines, coaching, and developing associates to achieve better performance.<br>ROLE PROFILECommunicate all personnel, operational, and product issues to the appropriate Contact Center supervisor or manager. Process all customer requests accurately and efficiently. Focus on meeting the customer’s expectations by utilizing all resolution options,Communicate pertinent information to all Contact Center associates. Communicate effectively and efficiently with all company associates and business contacts. Actively participate in regular team meetings and leadership meetings, as required. Promote a keen sense of teamwork by working together safely, effectively, respectfully and efficiently with all associates.<br>REQUIREMENTS<br>High School Certificate Retail or sales background English & Arabic speaker Minimum 1 year of experience in Customer services<br>WHAT WE OFFER<br>At Majid Al Futtaim, we’re on a mission to create great moments, to spread happiness, to build, experiences that stay in our memories for a lifetime. We’re proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us! Work in a friendly environment, where everyone shares positive vibes and excited about our future. Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.

The Senior Client Advisor is responsible for delivering an exceptional luxury client experience while driving sales performance and building long-term client relationships. This role serves as a role model within the boutique by demonstrating excellence in clienteling, product knowledge, and operational standards, while supporting the Boutique Manager in achieving business objectives.<br>Key Responsibilities Achieve individual sales targets and contribute to the overall boutique performance. Deliver an outstanding luxury client experience by understanding clients' needs and providing personalized recommendations. Build, develop, and maintain a loyal client portfolio through proactive clienteling, follow-ups, appointments, and after-sales service. Actively identify and develop new business opportunities to expand the client base. Demonstrate expert knowledge of the brand, product collections, heritage, and craftsmanship. Support and mentor Client Advisors by sharing best practices and promoting a high-performance culture. Assist the Boutique Manager in daily boutique operations and ensure the highest standards of presentation and service. Organize and support client events, private appointments, and CRM initiatives to strengthen customer relationships. Ensure accurate stock handling, inventory control, merchandising standards, and compliance with company policies. Prepare sales reports and maintain accurate client and sales records. Handle client concerns professionally, ensuring prompt and effective resolution.<br>Reporting Line Reports directly to the Boutique Manager.<br>Qualifications & Requirements Minimum 3–5 years of experience in luxury retail, fine jewelry, watches, or premium fashion. Proven track record of achieving and exceeding sales targets. Strong clienteling skills with the ability to build lasting customer relationships. Excellent communication, interpersonal, and presentation skills. Passion for luxury products and delivering exceptional customer experiences. Strong organizational skills with the ability to manage multiple priorities. Proficiency in Microsoft Office and CRM/POS systems. Professional appearance, positive attitude, and ability to work collaboratively in a team environment.

<h3 >About Libsi Markah</h3> <p >Libsi Markah Trading Co. is a leading fashion retailer in the Kingdom of Saudi Arabia. Established in 2008 with its first store, the company has expanded to operate more than 16 large apparel showrooms and an online store. Libsi Markah offers a wide range of high-quality fashion, shoes, accessories, perfumes, cosmetics, and household items for women, men, and kids, focusing on delivering value, style, and convenience to customers at competitive prices across multiple channels.</p> <h3 >The Role of Marketing Manager</h3> <p >Libsi Markah is seeking a <strong >Marketing Manager</strong> to join its team in Makkah, Saudi Arabia. This <strong >full-time, on-site</strong> position is responsible for planning and executing marketing campaigns that support sales targets across both physical showrooms and the online store. The role involves managing key marketing initiatives, including seasonal promotions and product launches, to enhance brand presence and drive customer engagement.</p> <h3 >Key Responsibilities</h3> <p >The Marketing Manager will undertake a range of responsibilities, including:</p> <ul > <li >Managing brand positioning across all company channels.</li> <li >Coordinating visual merchandising guidelines for physical showrooms.</li> <li >Overseeing social media and digital marketing activities.</li> <li >Ensuring consistent messaging across all marketing and sales channels.</li> <li >Analyzing customer data and market trends to inform strategy.</li> <li >Preparing performance reports on marketing campaign effectiveness.</li> <li >Recommending actions to improve traffic, conversion rates, and customer loyalty.</li> <li >Collaborating closely with sales, e-commerce, and merchandising teams.</li> <li >Supervising external agencies or vendors to deliver effective marketing initiatives.</li> </ul> <h3 >Qualifications and Experience</h3> <p >Candidates for this role should possess the following qualifications and experience:</p> <ul > <li >A minimum of <strong >5 to 10 years</strong> of experience in marketing, preferably within the retail or fashion industry.</li> <li >Demonstrated ability to plan and execute comprehensive marketing campaigns.</li> <li >Strong analytical skills for customer data and market trend analysis.</li> <li >Experience in managing digital marketing and social media platforms.</li> <li >Proven ability to collaborate with cross-functional teams and manage external vendors.</li> </ul> <h3 >Work Environment</h3> <p >This is a <strong >full-time, on-site</strong> position based in <strong >Makkah</strong>, Saudi Arabia. The role operates within a dynamic and fast-growing retail environment, contributing to the company's success across its physical and online presence.</p> <h3 >Application Information</h3> <p >Join Libsi Markah and contribute to shaping the customer experience in a leading fashion retail company.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> We’re running a short video data collection project for one of our clients. We’re looking for native Arabic speakers across multiple Arabic-speaking countries and dialects to record a 15–20 second video, speaking naturally in Arabic and looking directly into the camera. The videos collected will be used to help train and evaluate an AI model that distinguishes real, human-recorded video from AI-generated (synthetic) video.<br> <p><strong><span>Project Details:</span></strong></p><br> <br> <p><strong><span>Start Date:</span><span> ASAP</span></strong></p><br> <br> <p><strong><span>Duration: </span><span>1 session&nbsp;</span></strong></p><br> <br> <p><strong><span>Commitment:</span><span> 1 hour.&nbsp;</span></strong></p><br> <br> <p><strong><span>Job Type:</span><span> Freelance</span></strong></p><br> <br> <p><strong><span>Location: Saudi Arabia/Qatar (Remote)</span></strong></p><br> <br> <p><strong><span>Language/Dialects:</span> <span>Egyptian, Levantine, Gulf, Iraqi, Yemeni</span></strong></p><br> <br> <p><strong><span>Pay Rate: </span><span>$13.00/ per accepted Video </span></strong></p><br> <br> <br><br><p><b>Eligibility</b></p><br><ul> <li><ul> <li> <p><span>18 years of age or older.</span></p><br> </li> </ul><br><ul> <li> <p><span>Native Arabic speaker (self-identified). You may be asked to complete a brief screening step to confirm your dialect before your submission is finalized.</span></p><br> </li> </ul><br><br></li> </ul><br><p><b>What you’ll do </b></p><br><ul> <li><ul> <li> <p><span>Record a single 15–20 second video in your native Arabic </span><span>dialect</span><span>.</span></p><br> </li> </ul><br><ul> <li> <p><span>Speak naturally (no script). Suggested prompts: briefly introduce yourself, mention where you live, or talk about an interest/hobby.</span></p><br> </li> </ul><br><ul> <li> <p><span>Look directly at the camera the whole time.</span></p><br> </li> </ul><br><br><ul> <li> <p><span>After recording, answer a few short questions about yourself (e.g., age range, country, dialect) to help us organize the dataset.</span></p><br> </li> </ul><br><br><br></li> </ul><br><p><b>Recording specifications (must meet all to be accepted) </b></p><br><ul> <li><ul> <li> <p><span>Video quality: 1080p or higher&nbsp;</span></p><br> </li> </ul><br><ul> <li> <p><span>Length: 15–20 seconds&nbsp;</span></p><br> </li> </ul><br><ul> <li> <p><span>Framing: Head-and-shoulders, face centered and fully visible</span></p><br> </li> </ul><br><ul> <li> <p><span>Lighting/background: Well-lit face (no harsh shadows), plain/neutral background</span></p><br> </li> </ul><br><ul> <li> <p><span>Expression: Neutral/relaxed while speaking naturally</span></p><br> </li> </ul><br><ul> <li> <p><span>Audio: Clear speech, no background noise, music, or echo</span></p><br> </li> </ul><br><ul> <li> <p><span>Orientation: Portrait or landscape acceptable (hold steady, no shaky footage)</span></p><br> </li> </ul><br><ul> <li> <p><span>Environment: Quiet indoor setting preferred</span></p><br> </li> </ul><br><ul> <li> <p><span>Prohibited: Filters/beauty modes, sunglasses, hats/hoods, face coverings, headphones/earbuds, watermarks, stickers, borders, other people/pets in frame</span></p><br> </li> </ul><br><br></li> </ul><br><p><b>Your Privacy</b></p><br><p><span>Before you begin, you’ll be asked to review and accept a consent form explaining how your video and any information you provide will be used, stored, and who it will be shared with.</span></p><br> <br><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

In a demanding and constantly changing environment, the Stock Assistant contributes to the effective management of the Boutique's stock. He or she demonstrates great professionalism and contributes to making CHANEL the ultimate reference in luxury. Combining a keen sense of customer service, a pronounced team spirit and a strong results orientation, the Stock Assistant contributes to optimising the shop's results in line with the House's commercial and image strategy. Working directly with the Operations Manager, he or she will do everything possible to facilitate work on the sales floor, so that the best possible service is offered to customers.<br>Key Responsibilities:He or she manages and organizes stock activities: reception and control of deliveries, management of customer reservations, obsolete items, follow-up of invoices and packaging, re-labelling of products, organization of sales He or she is responsible for the proper conduct and results of inventories in accordance with procedures: rotating inventories by product family and the annual inventory, as well as the inventory of remote stock He or she makes proposals to the management to optimize operational processes, make improvements to the supply system and logistics organization He or she regularly carries out stock analyses to provide input for optimization He or she develops and runs Morning Briefs when required<br>Your Profile:Previous experience in same role within luxury fashion Inventory management professional with strong technical skills Organized, rigorous, analytical and synthetic skills Able to adapt to a constantly changing environment Able to deal with emergencies and solution-oriented A strong sense of customer service Good computer skills and working knowledge of MS Office (especially Excel) Strong English language skills (written and spoken) Fashion sensitivity and intercultural awareness

<p>Position Overview We are seeking a technically strong and solution-oriented Lead Applied AI Engineer to support the design and implementation of advanced AI and analytics solutions. This role is ideal for someone with 6+ years of experience in data science and applied machine learning who enjoys combining technical depth with real-world problem-solving. You will work closely with internal technical teams and external clients to translate business needs into scalable AI solutions. You ll also guide junior team members, contribute to hands-on model development, and ensure seamless delivery of analytical components into production environments.</p><p>Key Responsibilities</p><p>Agentic AI, LLMs &amp; Modern AI Systems</p><ul><li>Architect and implement production-grade agentic AI systems using LLM orchestration frameworks and protocols (e.g., LangChain, LangGraph, Langfuse, MCP).</li><li>Design and deploy Retrieval-Augmented Generation (RAG) pipelines including chunking strategies, vector store selection, hybrid retrieval, and evaluation.</li><li>Build multi-agent systems with tool use, memory, planning, and inter-agent coordination for enterprise automation and decision-support.</li><li>Evaluate and integrate frontier LLMs (OpenAI, Anthropic, Mistral, open-source) into secure, scalable production architectures, on cloud and on-prem.</li><li>Stay at the forefront of emerging agentic AI research and translate findings into practical product capabilities.</li></ul><p>Classical ML, Data Science &amp; Analytics</p><ul><li>Design and implement end-to-end ML pipelines: data ingestion, feature engineering, model training, hyper parameter tuning, validation, and deployment.</li><li>Apply classical ML techniques across regression, classification, clustering, time-series forecasting, anomaly detection, and optimization.</li><li>Deliver rigorous data analysis and statistical modeling to generate actionable insights for clients.</li><li>Ensure models are production-ready: robust, interpretable, monitored, and aligned with business KPIs.</li></ul><p>Technical Leadership &amp; Mentorship</p><ul><li>Lead, mentor, and coach junior data and AI scientists guiding their technical growth, reviewing their code, and building their problem-solving capabilities.</li><li>Define and enforce technical standards, best practices, and review processes across the data science team.</li><li>Drive knowledge-sharing through internal presentations, documentation, and technical sessions.</li></ul><p>Client-Facing Analytics Solutioning</p><ul><li>Collaborate with client engagement and technical teams to understand business requirements and translate them into actionable AI/analytics solutions.</li><li>Provide strategic input on solution design, aligning analytical capabilities with client objectives.</li><li>Serve as a technical lead in solution delivery discussions and workshops with clients.</li></ul><p>Integration, Deployment &amp; MLOps</p><ul><li>Collaborate with engineering teams to ensure seamless deployment of models into production via APIs, containerization (Docker/Kubernetes), and CI/CD pipelines.</li><li>Implement model monitoring, drift detection, and retraining workflows to maintain solution performance post-deployment.</li><li>Champion clean, maintainable, well-documented code practices across the team.</li></ul><p>Technical Stack</p><ul><li>Languages &amp; Libraries: Python (primary), SQL, NumPy, pandas, scikit-learn, XGBoost, LightGBM</li><li>Agentic &amp; LLM Frameworks: LangChain, LangGraph, Model Context Protocol (MCP), OpenAI API, Anthropic API</li><li>RAG &amp; Vector Stores: FAISS, Pinecone; embedding models and evaluation frameworks</li><li>Deep Learning: PyTorch, TensorFlow/Keras, Hugging Face Transformers</li><li>Cloud: one or more of: AWS, GCP, Azure</li><li>Databases: PostgreSQL, Oracle; vector databases</li><li>MLOps: Docker, MLflow, CI/CD pipelines</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field.</li><li>6-8+ years of hands-on experience in data science, applied machine learning, and AI engineering.</li><li>Demonstrable production experience with LLMs, RAG pipelines, and agentic AI systems.</li><li>Strong classical ML and statistical modeling expertise across multiple problem types and domains.</li><li>Demonstrated ability to lead technical work and mentor junior team members.</li><li>Ability to balance technical depth with practical delivery and business impact.</li><li>Excellent collaboration and communication skills to work across teams and with clients.</li><li>Fluency in English (written and spoken).</li><li>Arabic</li><li>Nice to Have: Experience delivering AI solutions across multiple industry sectors (e.g., government, energy, finance, healthcare, or retail).</li><li>Client-facing or consulting experience working directly with external stakeholders on solution design and delivery.</li><li>Experience with on-premise LLM deployment and air-gapped AI environments.</li><li>Familiarity with Arabic NLP and multilingual models.</li><li>Background in decision intelligence, operations research, or simulation modeling.</li><li>Publications, open-source contributions, or public technical presence.</li></ul>

<p>Develop and implement supply chain strategies aligned with business objectives. Manage procurement, inventory, warehousing, and distribution activities. Lead demand planning and forecasting to ensure product availability. Build and maintain strong relationships with suppliers and negotiate commercial agreements. Monitor inventory levels and optimize stock turnover while minimizing shortages and excess inventory. Oversee import, export, and customs clearance processes. Track supply chain KPIs and identify opportunities for continuous improvement. Collaborate with Sales, Merchandising, Finance, and Operations to support business needs. Lead and develop the supply chain team to achieve operational excellence. Drive cost reduction initiatives while maintaining service quality.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Supply Chain Management, Business Administration, Industrial Engineering, or a related field.</li><li>Minimum 6 years of experience in Supply Chain Management.</li><li>Experience in the retail or fashion industry is mandatory.</li><li>Strong experience in demand planning, procurement, inventory management, warehousing, and logistics.</li><li>Hands-on experience with ERP systems such as SAP, Oracle, Microsoft Dynamics 365, or NetSuite.</li><li>Advanced proficiency in Microsoft Excel; knowledge of Power BI is a plus.</li><li>Strong analytical, negotiation, and vendor management skills.</li><li>Excellent leadership, communication, and stakeholder management skills.</li><li>Experience managing cross-functional teams and driving process improvements.</li></ul>