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Raqmiyat

<div><div><h3 class="jobSectionHeader">Job Information</h3>
<ul><div>Date Opened
<div>04/03/2026
</div></div><div>Job Type
<div>Full time
</div></div><div>Job Opening Status
<div>In-progress
</div></div><div>Work Experience
<div>4-5 years
</div></div><div>Industry
<div>Technology
</div></div><div>City
<div>Riyadh
</div></div><div>State/Province
<div>Ar Riyad
</div></div><div>Country
<div>Saudi Arabia
</div></div><div>Zip/Postal Code
<div>11564
</div></div></ul></div><div><h3 class="jobSectionHeader">About Us</h3>
<div><div>Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.</div> 
</div><h3 class="jobSectionHeader">Job Description</h3>
<div><div>Job Overview: 
</div><div>
We are looking for a motivated and innovative Artificial Intelligence Engineer with 3+ years of experience in designing, developing, and deploying AI/ML solutions. The ideal candidate should have hands-on experience in machine learning, data modeling, Python programming, and AI solution development, with the ability to transform business requirements into intelligent systems and predictive models. 
 
</div><div></div> 
Key Responsibilities: 
<ul><li>
Design, develop, and deploy AI and machine learning models for business use cases. 
</li><li>
Build and optimize predictive, classification, and recommendation models. 
</li><li>
Work with large datasets to perform data preprocessing, feature engineering, and model training. 
</li><li>
Develop AI-driven solutions using Python and machine learning frameworks. 
</li><li>
Evaluate model performance and improve accuracy through tuning and validation techniques. 
</li><li>
Collaborate with stakeholders to understand business problems and translate them into AI use cases. 
</li><li>
Integrate AI models into applications, dashboards, or enterprise systems. 
</li><li>
Monitor deployed models and ensure continuous performance improvement. 
</li><li>
Prepare technical documentation and support ongoing enhancements.</li></ul><div></div><h3 class="jobSectionHeader"> 
Requirements</h3><ul><li>
3+ years of experience in Artificial Intelligence / Machine Learning Engineering 
</li><li>
Strong proficiency in Python 
</li><li>
Hands-on experience with machine learning algorithms and model development 
</li><li>
Experience with libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy 
</li><li>
Good understanding of data structures, statistics, and predictive analytics 
</li><li>
Experience in data cleaning, feature engineering, and model evaluation 
</li><li>
Knowledge of SQL and database management 
</li><li>
Strong problem-solving and analytical skills</li></ul></div></div></div>

Artificial Intelligence Engineer

Confidential Government

<div>
 
 We are seeking a highly experienced Artificial Intelligence (AI) expert with over six years of proven experience in designing, developing, and implementing AI and machine learning solutions, as well as managing AI products. The ideal candidate will have a strong understanding of government sector needs and the ability to translate them into practical, scalable use cases. This role will play a key part in enhancing government services, improving operational efficiency, and enabling data-driven decision-making, in alignment with national digital transformation and AI strategies, as well as AI ethics standards.
 
 
 
 
 
 Key Responsibilities:
 
 <ul>
 <li>
 Lead and manage a team of data scientists and AI engineers to design, develop, and deploy AI-driven solutions.
 </li>
 <li>
 Collaborate with various departments to identify opportunities where AI can enhance service delivery and operational performance.
 </li>
 <li>
 Translate business needs and operational challenges into actionable AI use cases with defined KPIs and measurable impact.
 </li>
 <li>
 Develop and maintain the AI roadmap, ensuring alignment with organizational and national digital strategies.
 </li>
 <li>
 Oversee the full lifecycle of AI projects, from proof of concept (PoC) to production deployment.
 </li>
 <li>
 Evaluate and select appropriate tools, technologies, and models across machine learning, deep learning, NLP (Arabic), computer vision, generative AI, and LLMs.
 </li>
 <li>
 Ensure compliance with data governance, privacy, cybersecurity, and AI ethics standards and regulations.
 </li>
 <li>
 Implement best practices in data engineering and MLOps to ensure scalability, reliability, and sustainability of AI solutions.
 </li>
 <li>
 Mentor team members and contribute to building internal AI capabilities.
 </li>
 <li>
 Prepare and present reports to senior leadership on project progress, outcomes, and business impact.
 </li>
 </ul>
 
 
 
 
 Minimum Qualifications:
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Artificial Intelligence, Computer Science, Data Science, or a related field.
 </li>
 <li>
 Minimum of 6+ years of experience in AI/ML development and implementation.
 </li>
 <li>
 Proven experience in leading cross-functional teams and delivering AI solutions at scale.
 </li>
 <li>
 Strong knowledge of machine learning, deep learning, NLP (preferably Arabic), and AI product management.
 </li>
 <li>
 Experience working within or with government entities is highly preferred.
 </li>
 <li>
 Familiarity with data governance, cybersecurity, and AI ethics frameworks.
 </li>
 </ul>
 
 
 
 
 Key Skills:
 
 <ul>
 <li>
 Strategic thinking and problem-solving
 </li>
 <li>
 Leadership and team management
 </li>
 <li>
 Stakeholder management and communication
 </li>
 <li>
 Data-driven decision-making
 </li>
 <li>
 Project and product management
 </li>
 </ul>
</div>

Artificial Intelligence Lead

MASTER-WORKS

<div>We are seeking a talented and motivated AI Engineer with expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and Speech-to-Text technologies. 
As part of our dynamic team, you will design, develop, and deploy next-generation AI solutions that enhance our products and services through intelligent automation, language understanding, and seamless communication systems.
Key Responsibilities
LLM Development &amp; Integration<ul><li>
Fine-tune and deploy Large Language Models for chatbots, content generation, and virtual assistants.</li><li>
Evaluate and optimize model performance in real-world use cases.</li><li>
Integrate LLMs into production environments ensuring scalability and reliability.</li></ul>
NLP System Design<ul><li>
Design and implement NLP algorithms for text classification, sentiment analysis, entity recognition, and summarization.</li><li>
Handle large text datasets for model training and validation.</li><li>
Collaborate with cross-functional teams to address language-related challenges.</li></ul>
Speech-to-Text Implementation<ul><li>
Develop and optimize speech-to-text (ASR) pipelines for multiple languages and dialects.</li><li>
Integrate speech recognition systems with NLP and LLM modules for end-to-end conversational experiences.</li><li>
Stay updated with advancements in Automatic Speech Recognition (ASR) technologies.</li></ul>
Performance Optimization<ul><li>
Improve AI model efficiency for real-time performance and scalability.</li><li>
Identify and mitigate biases to ensure model accuracy, fairness, and robustness.</li></ul>
Research &amp; Innovation<ul><li>
Stay current with cutting-edge research in LLMs, NLP, and Speech AI.</li><li>
Experiment with new architectures and techniques to drive innovation.</li></ul>
Documentation &amp; Collaboration<ul><li>
Maintain detailed documentation of models, datasets, and workflows.</li><li>
Collaborate with product managers, software engineers, and other stakeholders to deliver production-grade AI solutions.</li></ul> 
Requirements 
Qualifications<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.</li><li>
Proven experience in LLM development (e.g., OpenAI GPT, Claude, or similar frameworks).</li><li>
Strong knowledge of NLP libraries (e.g., Hugging Face, spaCy, NLTK).</li><li>
Hands-on experience with speech-to-text tools (e.g., Whisper, Google Speech API, DeepSpeech).</li><li>
Proficiency in Python and frameworks like TensorFlow or PyTorch.</li><li>
Excellent analytical, problem-solving, and communication skills.</li></ul></div>

AI Engineer (Mid-Level)

United Imaging Intelligence

<div>
 
 
 Job Description
 
 
 
 We are seeking a motivated AI Product Specialist to join our team. In this role, you will be responsible for understanding our AI products and their market landscape, and supporting sales and marketing initiatives. You will play a crucial role in communicating with customers, providing training, and ensuring successful product deployment.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 1.
 
 Product Knowledge and Strategy Development
 
 
 <ul>
 <li>
 Gain a comprehensive understanding of our AI products, including their selling points, market positioning, and competitor strategies.
 </li>
 <li>
 Assist in the formulation of market strategies and the creation of promotional materials for designated regions.
 </li>
 </ul>
 
 2.
 
 Market Research
 
 
 <ul>
 <li>
 Conduct thorough market research within assigned regions, focusing on clinical workflows, competitor features, market pricing, and business models.
 </li>
 </ul>
 
 3.
 
 Customer Communication and Sales Support
 
 
 <ul>
 <li>
 Engage with customers to understand their needs and provide tailored product recommendations.
 </li>
 <li>
 Collaborate with the sales team to prepare bid documents for tenders and achieve sales targets.
 </li>
 </ul>
 
 4.
 
 Marketing Activities and Presentations
 
 
 <ul>
 <li>
 Support various marketing initiatives by creating relevant materials based on customer and medical expert requirements.
 </li>
 <li>
 Conduct professional presentations to effectively communicate product benefits.
 </li>
 </ul>
 
 5.
 
 Training and Development
 
 
 <ul>
 <li>
 Provide product training to users, including on-site training sessions.
 </li>
 <li>
 Regularly conduct internal and external training for team members.
 </li>
 </ul>
 
 6.
 
 Product Deployment Coordination
 
 
 <ul>
 <li>
 Coordinate and support the deployment of software products to users, developing and implementing effective deployment plans.
 </li>
 <li>
 Evaluate deployment results and provide timely feedback for continuous improvement.
 </li>
 </ul>
 
 7.
 
 Customer Relationship Management
 
 
 <ul>
 <li>
 Assist in maintaining strong customer relationships by effectively resolving on-site technical issues.
 </li>
 <li>
 Analyze and organize customer needs to promote product usage.
 </li>
 </ul>
 
 8.
 
 User Feedback and Product Iteration
 
 
 <ul>
 <li>
 Collect and relay user issues to the development team to assist in product iteration and enhancement.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 1.
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or higher in Biomedical Engineering, Medical Imaging, Clinical Medicine, Electronic Engineering, Computer Science, or a related field.
 </li>
 </ul>
 
 2.
 
 Experience
 
 
 <ul>
 <li>
 Previous work experience in medical imaging, medical devices, or healthcare information systems is preferred.
 </li>
 </ul>
 
 3.
 
 Skills
 
 
 <ul>
 <li>
 Excellent communication skills with a strong sense of responsibility and self-motivation.
 </li>
 <li>
 Strong logical analysis and problem-solving abilities.
 </li>
 <li>
 Proficiency in using Office software for product and data presentations.
 </li>
 </ul>
 
 4.
 
 Travel
 
 
 <ul>
 <li>
 Willingness and ability to travel as required
 </li>
 </ul>
 
 
</div>

AI Product Specialist

<div>This is a highly skilled Machine Learning Engineer to design, build, deploy, and scale machine learning models that power data-driven products and intelligent systems. This role sits at the intersection of data science, software engineering, and MLOps, and requires strong hands-on experience turning models into production-ready solutions, programming experience in Python or R.
<ul><li>Design, develop, train, and optimize machine learning models for real applications or use cases.</li><li>
Translate business and product requirements into scalable ML/AI solutions.
</li><li>Implement feature engineering, model selection, tuning, and evaluation techniques.
</li><li>Develop , and deploy ML models into production environments with high availability and performance.</li><li>
Build and maintain ML pipelines (training, validation, deployment, monitoring).
</li><li>Monitor model performance, data drift, and model decay; retrain models as needed.
</li><li>Ensure models meet reliability, scalability, and security standards.
</li><li>Work closely with Data Scientists, Product Managers, and Software Engineers.
</li><li>Collaborate with data engineering teams to ensure high-quality, reliable data pipelines.</li><li>
Participate in design and code reviews, ensuring engineering best practices.
</li><li>Optimize models for latency, throughput, and cost.
</li><li>Implement experimentation frameworks (A/B testing, offline evaluation).
</li><li>Apply responsible AI principles, including fairness, explainability, and governance where required.</li></ul> 

Requirements 
<ul><li>
3&ndash;7+ years of hands-on experience in Machine Learning or applied AI roles.</li><li>
Strong programming skills in Python (and/or Java, Scala).
</li><li>Solid understanding of ML algorithms (supervised, unsupervised, deep learning).
</li><li>Experience with frameworks such as TensorFlow, PyTorch, and Scikit-learn.
</li><li>Experience deploying models using Docker, Kubernetes, or cloud ML services.
</li><li>Strong knowledge of data structures, algorithms, and software engineering principles.
</li><li>Experience working in agile, cross-functional teams.</li><li>
Experience with cloud platforms (AWS, Azure, or GCP) and managed ML services.
</li><li>Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow, SageMaker, Azure ML).
</li><li>Experience with big data technologies (Spark, Kafka, Databricks).
</li><li>Background in NLP, Computer Vision, or Generative AI.
</li><li>Strong problem-solving and analytical thinking
</li><li>Production-first mindset
</li><li>Data-driven decision making
</li><li>High Collaboration and communication skills</li></ul></div>

AI Engineer

soum

<div><div>Role Summary:</div>
<div>We're looking for a results-driven Senior Campaign Specialist to lead and execute digital campaigns across multiple channels. This role will focus on social media, SEO, email marketing, and lead generation, ensuring performance is data-backed and compliant with communication regulations.</div>
<div></div>
<h3 class="jobSectionHeader">Responsibilities</h3><ul>
<li>Develop and execute social media and digital campaigns across platforms including TikTok, Instagram, Twitter/X, Snapchat, and more to drive engagement, growth, and conversions</li>
<li>Manage scheduling, publishing, and engagement using social media management tools</li>
<li>Analyze campaign performance using platform analytics and translate data into actionable insights</li>
<li>Create and implement nationwide advertising strategies to support brand visibility and conversion goals</li>
<li>Develop and maintain SEO strategies, including writing and optimizing blog content to increase organic traffic to the e-commerce platform</li>
<li>Collaborate with CRM teams to improve lead prioritization, campaign performance tracking, and ROI analysis</li>
<li>Launch and monitor digital email marketing campaigns in alignment with online privacy and CAN-SPAM regulations</li>
<li>Plan and execute direct marketing campaigns, managing everything from concept to results analysis</li>
<li>Initiate KPI monitoring frameworks, set baseline performance goals, and define milestones for improvement</li>
<li>Continuously optimize lead generation and marketing communication methods for compliance and impact</li>
</ul><h3 class="jobSectionHeader">Requirements:
</h3><ul><li>2&ndash;4 years of proven experience in campaign management, digital marketing, or social media strategy</li>
<li>Bachelor's degree in Marketing, Communications, or a related field</li>
<li>Proven experience in campaign strategy and execution, ideally within a digital-first or consumer brand environment</li>
<li>Strong understanding of major social media platforms and digital marketing best practices</li>
<li>Proficient in interpreting analytics data and using insights to inform decisions</li>
<li>Experience with digital marketing and CRM tools such as Hootsuite, HubSpot, Mailchimp, or similar</li>
<li>Excellent written and verbal communication skills</li>
<li>Creative, proactive, and detail-oriented with a strong sense of ownership</li>
<li>Strong project management and cross-functional collaboration skills</li>
<li>Fluency in Arabic and English is a must</li>
</ul>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>

Sr. Campaign Specialist

Noon Academy

<div>About Noon Academy:
We&rsquo;re on a mission to radically change the way students learn. We started with a simple idea&mdash;access to the best teachers shouldn&rsquo;t be a luxury, and learning should energize, not drain you. We believe in solving hard problems, and we play to win&mdash;we measure progress by revenues, students, and learning gains. Our approach? Build high-performing teams, giving them the freedom to dream big and execute boldly.
Today, we&rsquo;re building the next generation of schools in Saudi Arabia. We believe every student deserves world-class teachers. And to make it happen, we&rsquo;re reimagining everything about education: from cutting-edge tech to peer learning and physical spaces that spark curiosity. The verdict is clear: students don't just tolerate hybrid, they love it.
We&rsquo;re aiming for an IPO, and the product you&rsquo;ll build is core to getting us there. The scale is real. We expanded to 28 schools in our second year of operations, and we're expanding to 100+ schools around the Kingdom in the near future.
Hear about our vision directly from our CEO here.
Learn more about us: here
Why This Role Matters?
Running great schools at scale is an unsolved problem. Timetables, staffing, student success, operational workflows, quality loops. It's a web of complexity that no off-the-shelf software can handle. So we're building our own.
We call it the Ops OS &mdash; an intelligent, event-driven system that makes schools work and scale. Think of it as the nervous system of a school network: routing the right information to the right person at the right time. We're looking for AI Systems Engineers who want to build things that matter
Role Summary
This isn't a typical AI/ML role. You won't be training models in isolation or writing research papers. You'll be embedded in the real world. Talking to students, school staff and internal leaders. You&rsquo;ll be understanding messy operational problems, and shipping working systems that people rely on every single day.
You'll use AI as a power tool alongside strong product engineering skills to build internal apps, data pipelines, dashboards, and intelligent workflows.
What You'll Do<ul><li>
Investigate real problems &mdash; sit with ops teams and school leads to deeply understand what's broken before writing a line of code.</li><li>
Build fast &mdash; go from messy problem spec working prototype in days, not months. We use Claude Code, Cursor, Replit, and every AI tool that makes us faster.</li><li>
Ship products, not scripts &mdash; build real, production-quality tools with great UX (React/TypeScript, Supabase, APIs). Our users are internal Nooners, students, teachers, and school staff. Each user deserves thoughtful designs!</li><li>
Design systems that compound &mdash; think in loops, not features. Data insight action feedback better data.</li><li>
Own your domain end-to-end &mdash; from problem discovery to adoption. If nobody uses it, we haven't succeeded.</li></ul>
What We're Looking For<ul><li>
You think before you build. You can explain a problem to a non-technical person in 30 seconds.</li><li>
You're fast. Ruthlessly good at scoping: 80% of the impact with 20% of the effort.</li><li>
You're strong in data &amp; SQL, AI/LLMs, and product engineering.</li><li>
You&rsquo;re eager to learn and adopt new tools and ways of working.</li><li>
You build things that work, not things that look impressive on a slide.</li><li>
You communicate clearly &mdash; in writing, in demos, in Slack. No jargon.</li><li>
You don't wait to be told. You find the problem, propose the solution, and drive it.</li><li>
Fluent in Arabic and English</li><li>
Based in Riyadh (or able to relocate by an agreed date)</li></ul>
Bonus Points<ul><li>
Experience with event-driven architectures or operational systems.</li><li>
You've built internal tools or ops platforms before.</li><li>
You've used AI coding tools (Cursor, Copilot, Claude) to move 5x faster and ship real products.</li></ul>
Why Noon?<ul><li>
Real impact &mdash; your work directly affects how thousands of students learn every day.</li><li>
Speed and autonomy &mdash; small team, big problems, zero bureaucracy.</li><li>
AI-native culture &mdash; we don't just talk about AI, we build with it daily.</li><li>
Well-funded &mdash; Series B closed, substantial recurring revenue, and accelerating.</li><li>
Mission that matters &mdash; every student deserves world-class teachers. We're making it happen.</li></ul>
Benefits
In addition to a competitive base salary, we offer:<ul><li>
Employee Stock Ownership Plan (ESOP)</li><li>
Performance-based bonus</li><li>
21 days of annual leave</li><li>
Full premium Medical coverage, including Family Dependent</li></ul>
If you're a builder who wants to solve hard problems in education and create something students talk about for years to come, we would love to talk to you.</div>

AI Systems Engineer

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