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ai engineer (saudi national only) Jobs in Riyadh

ai engineer (saudi national only)

ai engineer

TAWANTECH

<div>
 
 
 Job Purpose:
 
 
 
 
 We are seeking a
 
 Saudi National AI Engineer
 
 to design, develop, and implement AI-powered solutions that address complex business challenges. The ideal candidate will have strong technical expertise in machine learning, deep learning, and data engineering, with the ability to work collaboratively in agile teams.
 
 
 
 
 Key Responsibilities:
 
 
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning and deep learning models to support business needs.
 </li>
 <li>
 Work with large datasets to perform data preprocessing, feature engineering, and model training.
 </li>
 <li>
 Collaborate with data scientists, software engineers, and business stakeholders to define requirements and deliver scalable AI solutions.
 </li>
 <li>
 Optimize AI/ML models for accuracy, performance, and scalability.
 </li>
 <li>
 Build APIs and integrate AI models into existing applications and systems.
 </li>
 <li>
 Stay up-to-date with the latest AI research, frameworks, and technologies, and recommend their application.
 </li>
 <li>
 Document processes, models, and workflows for future reference and audits.
 </li>
 <li>
 Support AI governance, ethics, and compliance requirements.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Saudi National (mandatory).
 </li>
 <li>
 Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
 </li>
 <li>
 3-5 years of experience in AI, machine learning, or data engineering.
 </li>
 <li>
 Strong programming skills in Python, R, or Java.
 </li>
 <li>
 Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.
 </li>
 <li>
 Familiarity with cloud AI platforms (AWS SageMaker, Azure AI, or Google Cloud AI).
 </li>
 <li>
 Solid knowledge of data structures, algorithms, and software engineering principles.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 
 
 </li>
 </ul>
 
 
 Key Competencies:
 
 
 
 
 <ul>
 <li>
 Strong business and technical acumen.
 </li>
 <li>
 Ability to work in cross-functional teams.
 </li>
 <li>
 Commitment to continuous learning and innovation.
 </li>
 <li>
 High attention to detail and quality delivery.
 </li>
 </ul>
</div>

AI Engineer (Saudi National Only)

<div><h3 class="jobSectionHeader">Job Purpose:</h3>
We are seeking a Saudi National AI Engineer to design, develop, and implement AI-powered solutions that address complex business challenges. The ideal candidate will have strong technical expertise in machine learning, deep learning, and data engineering, with the ability to work collaboratively in agile teams.<h3 class="jobSectionHeader">
Key Responsibilities:</h3><ul>
<li>Design, develop, and deploy machine learning and deep learning models to support business needs.
</li><li>Work with large datasets to perform data preprocessing, feature engineering, and model training.
</li><li>Collaborate with data scientists, software engineers, and business stakeholders to define requirements and deliver scalable AI solutions.
</li><li>Optimize AI/ML models for accuracy, performance, and scalability.
</li><li>Build APIs and integrate AI models into existing applications and systems.
</li><li>Stay up-to-date with the latest AI research, frameworks, and technologies, and recommend their application.
</li><li>Document processes, models, and workflows for future reference and audits.
</li><li>Support AI governance, ethics, and compliance requirements.
</li></ul>Requirements<ul>
<li>Saudi National (mandatory).
</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
</li><li>3&ndash;5 years of experience in AI, machine learning, or data engineering.
</li><li>Strong programming skills in Python, R, or Java.
</li><li>Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.
</li><li>Familiarity with cloud AI platforms (AWS SageMaker, Azure AI, or Google Cloud AI).
</li><li>Solid knowledge of data structures, algorithms, and software engineering principles.
</li><li>Strong analytical, problem-solving, and communication skills.
</li></ul><h3 class="jobSectionHeader">Key Competencies:</h3><ul>
<li>Strong business and technical acumen.
</li><li>Ability to work in cross-functional teams.
</li><li>Commitment to continuous learning and innovation.
</li><li>High attention to detail and quality delivery.</li></ul></div>

Innovative Solutions

<div><h3 class="jobSectionHeader">About Innovative Solutions</h3>
Innovative Solutions (IS) is a leading cybersecurity company in the GCC since 2003, now expanding into the broader digital world of opportunities. As we transcend beyond cybersecurity&rsquo;s legacy of risk, fear, and loss, we are re-imagining our role as a digital partner focused on opportunity, optimism, and gain. 
 
We are seeking a highly skilled AI &amp; Data Engineer to pioneer the design and development of an exciting and futuristic Agentic AI solution.
<h3 class="jobSectionHeader">Key Responsibilities</h3><ul><li>Design, develop, and deploy AI/ML models to support Threat Detection, Fraud Detection, and Event Classification.</li><li>Build, train, and fine-tune Agentic AI models that can autonomously handle triage and analysis workflows.</li><li>Develop scalable data pipelines for ingesting, preprocessing, and enriching structured and unstructured security data.</li><li>Implement explainable AI techniques for transparent detection and decision-making.</li><li>Collaborate with experts, and data scientists to enhance detection accuracy.</li><li>Continuously improve model performance through feedback loops, data augmentation, and retraining.</li></ul><h3 class="jobSectionHeader">
Preferred Experience</h3><ul><li>Prior development of AI models for Threat Detection or Fraud Detection.</li><li>Experience with cybersecurity data sources (network logs, endpoint telemetry, identity logs, threat intel).</li><li>Exposure to agentic AI concepts (autonomous task handling, decision chaining, tool use).</li></ul><h3 class="jobSectionHeader">
What We Offer</h3><ul><li>Opportunity to pioneer AI-driven Cybersecurity solutions &amp; automation in the GCC region.</li><li>Work on cutting-edge Agentic AI technology shaping the future of cybersecurity.</li><li>Collaborative, future-oriented, and innovation-driven culture.</li><li>Attractive salary and benefits package.</li></ul>
Requirements<h3 class="jobSectionHeader">
Qualifications &amp; Requirements</h3><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field.</li><li>2&ndash;3 years of experience in AI/ML development, ideally in cybersecurity, fraud detection, or anomaly detection.</li><li>Proven track record in AI model development for classification, detection, or predictive analytics.</li><li>Strong programming skills in Python, TensorFlow, PyTorch, Scikit-learn, or equivalent frameworks.</li><li>Experience with NLP, anomaly detection, reinforcement learning, or multi-agent systems is a plus.</li><li>Familiarity with cloud platforms (AWS, Azure, GCP) for scalable AI deployment.</li><li>Excellent problem-solving, analytical, and communication skills.</li></ul></div>

AI & Data Engineer

Cognizant Technology Solutions

<div>Key Responsibilities:<ul><li>
Design and implement AI and ML solutions using Azure AI services, including Azure OpenAI, Azure AI Foundry, and Azure Machine Learning.</li><li>
Fine-tune and deploy LLMs (e.g., GPT-4o, GPT-3.5) for enterprise use cases using Azure infrastructure.</li><li>
Build AI-powered applications using Python frameworks such as FastAPI and Streamlit, Gradio.</li><li>
Develop and manage RAG pipelines and integrate them with enterprise data sources.</li><li>
Utilize Azure AI Foundry for model lifecycle management, experimentation, and deployment.</li><li>
Leverage Azure Functions and Logic Apps to orchestrate AI workflows and automate business processes.</li><li>
Integrate AI capabilities into Power Platform (Power Apps, Power Automate) for low-code/no-code solutions.</li><li>
Build conversational AI experiences using Microsoft Bot Framework and integrate with Microsoft Teams.</li><li>
Enable intelligent document processing and collaboration by integrating AI with SharePoint.</li><li>
Conduct prompt engineering and use orchestration tools like Semantic Kernel and function calling.</li><li>
Ensure scalability, security, and performance of AI solutions deployed on Azure.</li><li>
Collaborate with cross-functional teams to integrate AI capabilities into existing systems.</li><li>
Stay updated with the latest advancements in AI, NLP, and Azure technologies.</li></ul>
About Cognizant:
Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant.
#LI-CTSAPAC</div>

AI developer

Takamol Holding

<div>
 
 Job Description
 
 
 
 <ul>
 <li>
 Develop, test, and deploy machine learning models and AI services to support various business initiatives.
 </li>
 <li>
 Collaborate with data scientists, software engineers, and business stakeholders to integrate AI solutions into existing systems.
 </li>
 <li>
 Optimize AI models for accuracy, scalability, and efficiency.
 </li>
 <li>
 Integrate relevant AI SaaS-based services with existing or new products such as generative AI, vector databases and RAG solutions.
 </li>
 <li>
 Stay updated with the latest AI research and technologies to recommend innovative solutions.
 </li>
 <li>
 Assist in the quality control, deployment and monitoring of AI services in production environments.
 </li>
 <li>
 Ensure compliance with data privacy, security, and ethical standards related to AI.
 </li>
 <li>
 Document AI assets, workflows, and technical specifications.
 </li>
 <li>
 Support AI-related research and development projects.
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.
 </li>
 <li>
 Strong programming skills in Python, R, or similar languages.
 </li>
 <li>
 Experience with ML frameworks and AI cloud services such as Vertex AI and others.
 </li>
 <li>
 Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
 </li>
 <li>
 Familiarity with cloud platforms (Azure, AWS, GCP) for AI deployment is preferred.
 </li>
 <li>
 Understanding of deep learning, NLP, computer vision, or other AI subfields is a plus.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 </ul>
</div>

AI Engineering Officer

MBC GROUP

<div>
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 
 Model Development &amp; Implementation
 
 : Design, build, and deploy machine learning models to solve complex business problems. These may include predictive analytics, recommendation systems, anomaly detection, classification, and other machine learning tasks.
 </li>
 <li>
 
 AI Solutions
 
 : Create and optimize AI-driven solutions that can automate processes, improve decision-making, and enhance user experiences across various business functions.
 </li>
 <li>
 
 Data Analysis &amp; Exploration
 
 : Conduct thorough analysis of large datasets to uncover patterns, trends, and insights that inform business strategies and model development.
 </li>
 <li>
 
 Collaborative Problem Solving
 
 : Partner with business stakeholders to understand their goals and challenges, and translate these into data-driven solutions and models that align with the organization&rsquo;s objectives.
 </li>
 <li>
 
 Model Optimization
 
 : Continuously monitor, fine-tune, and improve the performance of machine learning models through evaluation, experimentation, and iteration.
 </li>
 <li>
 
 Scalability &amp; Performance
 
 : Ensure that AI models and solutions can scale effectively in production environments, handling large volumes of data while maintaining high performance and reliability.
 </li>
 <li>
 
 Stay Current with AI Trends
 
 : Keep up-to-date with the latest advancements in AI, machine learning, and data science to propose innovative techniques and technologies that can drive competitive advantage.
 </li>
 <li>
 
 Reporting &amp; Communication
 
 : Present findings, model results, and actionable insights to both technical and non-technical stakeholders, ensuring clarity and alignment on business impacts.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements:
 
 
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
 </li>
 <li>
 Proven experience (5+ years) as a Data Scientist, with a focus on machine learning, AI, and advanced analytics.
 </li>
 <li>
 Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
 </li>
 <li>
 Strong proficiency in programming languages such as Python, R, or similar.
 </li>
 <li>
 Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Keras) and tools for model development, training, and evaluation.
 </li>
 <li>
 Expertise in data manipulation and analysis using tools like Pandas, NumPy, SQL, or similar.
 </li>
 <li>
 Solid understanding of statistical methods, hypothesis testing, and data modeling techniques.
 </li>
 <li>
 Experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying models in cloud environments is a plus.
 </li>
 </ul>
 
 
 
</div>

Data Scientist

HPC Hamburg Port Consulting GmbH

<div>
 
 
 Become a part of HPC and shape the future with us!
 
 
 
 
 
 
 As a
 
 Data Scientist (m/f/d)
 
 , you will develop impactful AI and machine learning solutions for our port and logistics processes. From RAG pipelines to lakehouse architectures and MLOps on Azure: with us, you&rsquo;ll work in an environment where modern technologies meet real-world impact. You won&rsquo;t just be building prototypes &ndash; you&rsquo;ll be creating production-grade systems that drive daily port and logistics operations.
 
 
 
 
 
 
 Are you looking for a fresh perspective with plenty of responsibility and creative freedom?
 
 
 
 
 Then apply now!
 
 
 
 
 
 
 
 What you can expect:
 
 
 <ul>
 <li>
 You develop AI and machine learning solutions for the future of port and logistics processes &ndash; from accurate predictions (e.g., arrival times, throughput times, maintenance) and optimization models to LLM-based applications using RAG or multi-agent setups
 </li>
 <li>
 You build models, design pipelines, ensure smooth integration into the lakehouse, and manage operations with modern MLOps methods
 </li>
 <li>
 You collaborate closely with Data Governance, IT Security (KRITIS), Enterprise Architecture, Cloud/Infrastructure teams, and BI to bring innovative solutions into the organization securely and sustainably
 </li>
 <li>
 You make results tangible with BI tools, define KPIs, and support colleagues through workshops and knowledge sharing
 </li>
 <li>
 Throughout, you keep data protection, compliance, and the AI Act in mind &ndash; ensuring our solutions are not only smart but also trustworthy
 </li>
 </ul>
 
 
 
 
 
 Your profile:
 
 
 <ul>
 <li>
 Several years of experience in data science/machine learning &ndash; from modeling to production deployment
 </li>
 <li>
 Strong knowledge of Python and the common ML stack
 </li>
 <li>
 Hands-on experience with MLOps (MLflow, CI/CD, containers/Kubernetes) and cloud environments (ideally Azure)
 </li>
 <li>
 Initial practical experience with LLM applications (RAG, embeddings, prompting) or strong motivation to quickly build expertise in this field
 </li>
 <li>
 Ideally, experience in data governance and security (e.g., GDPR, AI Act)
 </li>
 <li>
 You communicate effectively and have excellent English skills
 </li>
 </ul>
 
 
 
 
 
 Are you interested, but don't fulfil all the requirements? Let's have a conversation!
 
 
 
 
 
 
 
 What we offer:
 
 
 <ul>
 <li>
 Work from home and in our new office in Riyadh
 </li>
 <li>
 A competitive salary and exciting career paths
 </li>
 <li>
 Flexible working and a good work-life balance: flextime, mobile working and 30 days of vacation
 </li>
 <li>
 An open feedback culture: regular feedback sessions and talks
 </li>
 <li>
 A wide range of internal and external training courses, training and workshops
 </li>
 <li>
 Together into the future: Permanent employment and a company pension scheme
 </li>
 </ul>
 
 
 
 
 
 
 
 As an international logistics company with its roots in Hamburg, HHLA stands for cosmopolitanism and tolerance. We are convinced of the advantages of different perspectives, experiences and competences. Our aim is to create a working environment in which humanity, mutual respect and appreciation are the basis for the actions of all employees.
 
 
 
 
 
 If you would like to shape the future of HPC together with us, we look forward to receiving your detailed application - preferably online via our application form.
 
 
 
 
 
 
 
 
 
 Your contact
 
 
 
 
 
 
 HPC Hamburg Port Consulting GmbH
 
 
 HR Management
 
 
 Daria Petersen
 
</div>

Data Scientist (m/w/d) Riyadh, Saudi-Arabien

Explore 387+ Ai engineer in Riyadh this October. Find roles across top companies and apply now to boost your career.

387 ai engineer jobs IN Riyadh

AI Engineer (Saudi National Only)

AI Engineer (Saudi National Only)

AI & Data Engineer

AI developer

AI Engineering Officer

Data Scientist

Data Scientist (m/w/d) Riyadh, Saudi-Arabien