data scientist

engineering manager

sales engineer

software engineer

ai consultant

ai machine learning engineer

Confidential Government

<div>
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and deploy AI and machine learning models for real-world business applications
 </li>
 <li>
 Design and manage data pipelines to support model training and inference
 </li>
 <li>
 Perform feature engineering and data preparation to improve model performance
 </li>
 <li>
 Integrate ML solutions into production systems and business platforms
 </li>
 <li>
 Implement MLOps practices for model deployment, monitoring, and continuous improvement
 </li>
 <li>
 Collaborate with cross-functional teams to translate business needs into AI solutions
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 Artificial Intelligence (AI)
 </li>
 <li>
 Machine Learning (ML)
 </li>
 <li>
 Python
 </li>
 <li>
 SQL
 </li>
 <li>
 TensorFlow / PyTorch
 </li>
 <li>
 MLOps
 </li>
 <li>
 Feature Engineering
 </li>
 <li>
 Data Pipelines
 </li>
 <li>
 Cloud AI platforms (MS Azure / Copilot / AI Foundry)
 </li>
 </ul>
 
 
 
 
 
 Experience
 
 
 <ul>
 <li>
 
 2&ndash;4 years of relevant experience
 
 in AI / Machine Learning development.
 </li>
 </ul>
 
 
</div>

AI & Machine Learning Engineer

Muller's Solutions

<div>M&uuml;ller&rsquo;s Solutions is excited to announce an opening for a Google Cloud AI Specialist to drive our artificial intelligence initiatives leveraging Google Cloud Platform (GCP). In this role, you will be responsible for designing and implementing AI and machine learning solutions to help transform our data into actionable insights and enhance decision-making processes across the organization. 
Key Responsibilities:<ul><li>
Develop and deploy machine learning models using GCP tools such as AI Platform, TensorFlow, and AutoML.</li><li>
Collaborate with cross-functional teams to identify business needs and translate them into AI and ML project requirements.</li><li>
Conduct data analysis to prepare datasets for model training and evaluation while ensuring data quality and integrity.</li><li>
Implement and optimize AI workflows that facilitate real-time data processing and inference.</li><li>
Stay updated on the latest advancements in AI and machine learning technologies to continuously improve our offerings.</li><li>
Provide technical guidance and support to teams on best practices for using Google Cloud AI services.</li><li>
Document AI project implementations, model performance evaluations, and ongoing maintenance procedures.</li><li>
Contribute to developing educational materials and training sessions on AI capabilities for staff and stakeholders.</li><li>
Monitor and assess the performance of deployed AI models, making adjustments as necessary to ensure effectiveness.</li></ul> 

Requirements 
Requirements:<ul>
<li>Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.</li>
<li>3+ years of experience in machine learning or AI solutions development, preferably using Google Cloud Platform.</li>
<li>Proficient in programming languages such as Python or R, with a strong understanding of machine learning libraries (e.g., TensorFlow, scikit-learn).</li>
<li>Experience with cloud-based AI technologies, especially GCP services like Vision AI, Natural Language API, and AutoML.</li>
<li>Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques.</li>
<li>Ability to work with large datasets, utilizing BigQuery or similar data processing tools.</li>
<li>Excellent problem-solving skills and a strong analytical mindset.</li>
<li>Capable of communicating complex technical concepts to diverse audiences effectively.</li>
</ul>Preferred Qualifications:<ul>
<li>Google Cloud certifications (e.g., Google Cloud Professional Data Engineer or Google Cloud Professional Machine Learning Engineer) are a plus.</li>
<li>Experience with MLOps practices and tools for model deployment and management.</li>
<li>Familiarity with DevOps practices as they relate to AI and machine learning.</li>
<li>A background in statistics or applied mathematics is desirable.</li> 
</ul> 
 
Benefits 
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.</div>

Google Cloud AI Specialist

NADEC Foods

<div>
 
 The AI Specialist will be a hands-on technical expert responsible for designing, developing, implementing, and maintaining artificial intelligence and machine learning models to solve complex business problems within NADEC. This role involves working closely with data scientists, data engineers, and business stakeholders to identify opportunities for AI, develop robust solutions, and contribute to the continuous improvement of NADEC's operational efficiency, product innovation, and customer experience through AI.
 
 
 
 
 
 Core Accountabilities:
 
 
 &bull; AI/ML Model Development &amp; Implementation: Design, develop, train, and deploy machine learning models (e.g., for predictive o analytics, natural language processing, computer vision, anomaly detection, o recommendation systems).
 
 
 &cir; Perform data collection, preprocessing, feature engineering, and validation for o AI/ML models. &cir; Write production-quality code for AI/ML solutions and integrate them into o existing systems and workflows. o Optimize models for performance, scalability, and accuracy.
 
 
 &bull; Research &amp; Innovation: o Stay current with the latest advancements, techniques, and tools in AI, machine o learning, and deep learning.
 
 
 o Evaluate and experiment with new AI technologies and methodologies to o assess their potential value for NADEC.
 
 
 Contribute to the development of innovative AI-driven solutions to address o specific business needs in areas like agriculture, manufacturing, supply chain, o and sales &amp; marketing.
 
 
 &bull; Data Analysis &amp; Interpretation:
 
 
 o Collaborate with data analysts and business users to understand data sources o and requirements for AI projects.
 
 
 o Analyze large datasets to identify patterns, insights, and opportunities for AI o application. o Clearly communicate complex AI concepts and model results to both technical o and nontechnical audiences.
 
 
 ● Model Monitoring &amp; Maintenance:
 
 
 &cir; Develop and implement strategies for monitoring the performance of deployed o AI models. o Perform ongoing maintenance, retraining, and fine-tuning of models to ensure o continued accuracy and relevance.
 
 
 o Troubleshoot and resolve issues related to AI model performance or o deployment.
 
 
 o ● Collaboration &amp; Documentation:
 
 
 &bull; Work collaboratively in an agile environment with cross-functional teams o including data engineers, software developers, and business stakeholders. o Document AI models, methodologies, processes, and results thoroughly.
 
 
 o Participate in code reviews and knowledge-sharing sessions Public
 
 
 &bull; Ethical AI:
 
 
 &cir; Ensure that AI solutions are developed and deployed responsibly, considering o fairness, transparency, and ethical implications
 
</div>

AI Specialist

MASTER-WORKS

<div>Data Architect Posi on Overview the Data Architect is responsible for designing, structuring, and maintaining the organization&rsquo;s on-premises Microsoft -based data architecture. This role focuses on building scalable, secure, and efficient data models, optimizing SQL Server environments, enforcing data governance policies, and enabling advanced analyze cs and AI capability es using Microsoft technologies. 
Core Responsibilities:
1. Data Modelling and Database Design
. Develop and maintain conceptual, logical, and physical data models using Microsoft tools (e.g., SQL Server Management Studio, Power Designer). &middot; Design normalized and denormalized relational database schemas on Microsoft SQL Server.
<ul><li>Ensure data structures support business operations, reporting needs, and AI/ML initiatives</li></ul> 
2. SQL Server Administration and Optimization
<ul><li>Administer Microsoft SQL Server instances, including installation, configuration on, security hardening, and patching.</li><li>Optimize database performance through indexing strategies, partitioning, query tuning, and server resource management.
</li><li>Implement backup, recovery, replica on, and high-availability solutions (e.g., Always on Availability Groups, SQL Server Clustering).</li></ul> 
3. Data Governance and Compliance
<ul><li>Establish and maintain data governance frameworks aligned with corporate and regulatory requirements (e.g., GDPR, HIPAA).
</li><li>Implement data classification, encryption (TDE), access control (role-based security), and auditing features of SQL Server.</li><li>Manage metadata and ensure consistent data definitions across the organization.</li></ul> 
4. Business Intelligence and Data Warehousing Support
<ul><li>Architect and manage data warehouses and data marts using SQL Server Analysis Services (SSAS) and SQL Server Integra on Services (SSIS).</li><li>Design ETL/ELT processes for data ingestion on, transformation on, and loading using SSIS and stored procedures.
</li><li>Enable business reporting solutions with SQL Server Reporting Services (SSRS) and integra on with Power BI as needed. 5. Machine Learning and AI Enablement
</li><li>Support data provisioning for machine learning projects through structured SQL based pipelines.
</li><li>Collaborate with Data Science teams to design and optimization datasets for AI workloads hosted internally or through SQL Server Machine Learning Services. 6. Cross-Functional Collaboration
</li><li>Work closely with IT infrastructure, software development, and business intelligence teams to align data solutions with business goals.
</li><li>Translate business needs into detailed, technically sound data architectures and specifications.
</li><li>Provide technical leadership on database and data management best practices.</li></ul> 
 
 
Requirements 
Nationality: Any Arabic Nationality to achieve better communication and understand our Arabic data content better.<ul><li>Bachelor&rsquo;s or master&rsquo;s degree in computer science engineering or information and computer science Faculties.
</li></ul>&middot; Minimum 5 years of experience in enterprise data architecture and database administration within a Microsoft environment. &middot; Expert se in SQL Server (2016/2019/2022 preferred) administration on, optimization on, and security.
<ul><li>Strong proficiency in T-SQL development and stored procedure optimization.
</li><li>Hands-on experience with SSIS (ETL), SSAS (data modeling), and SSRS (reporting).
</li><li>Solid understanding of data governance, compliance, and information on security standards.
</li><li>Familiarity with Microsoft Master Data Services (MDS) and Data Quality Services (DQS) is a plus.
</li><li>Excellent communication, documenta on, and problem-solving skills. Preferred Skills
</li><li>Certification on: Microsoft Certified: Azure Database Administrator Associate, Microsoft Certified: Data Management and Analy cs.
</li><li>Experience with hybrid on-premises and Azure SQL environments (optional, if applicable).
</li><li>Exposure to AI/ML workflows using Microsoft tools (e.g., SQL Server ML Services, Azure Machine Learning).</li><li>The candidate must have CDMP</li><li>Its better if candidate has TOGAF certificate (not mandatory).</li></ul></div>

Data Architect

MOZN

<div>
 
 About Mozn
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We&rsquo;re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you&rsquo;re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About The Role
 
 
 
 We are searching for a strategic and inquisitive Data Scientist. As a member of Mozn's Data Science team, you will work with cross-disciplinary teams to identify the problems to be solved, specify the problems in mathematical and statistical terms, scope out the project/product in collaboration with your team and external stakeholders, and then go about answering the identified questions. You find insights that spur teams and stakeholders to improve their business/product and drive value for internal and external stakeholders.
 
 
 
 
 What you&rsquo;ll d
 
 
 
 
 o
 
 
 
 
 <ul>
 <li>
 Work with cross-functional teammates from engineering, products, business, and marketing to deliver data-powered solutions.
 </li>
 <li>
 Communicate highly technical results and methods clearly to a wide variety of external clients.
 </li>
 <li>
 Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques.
 </li>
 <li>
 Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn's solutions.
 </li>
 <li>
 Develop data pipelines and ingestion engines for Natural Language Understanding and/or Risk Management; as well as contribute to current engines at Mozn.
 </li>
 <li>
 Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions.
 </li>
 <li>
 Plan and execute solutions' development from data gathering to intelligent decision making.
 </li>
 <li>
 Staying informed with new frameworks and technological advances to increase Mozn's efficiency and productivity.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 B.S. or M.S. in Computer Science, Statistics, Mathematics or similar quantitative fields.
 </li>
 <li>
 3-5 years of Relevant experience as a data scientist, or similar fields that require developing ML/AI models. Over 2 years for B.S. degree and over 1 year for M.S.
 </li>
 <li>
 Programming experience over two years in object oriented programming, including data manipulation using Python or other languages.
 </li>
 <li>
 Good understanding of statistics and probability, such as Bayesian methods and conditional probability.
 </li>
 <li>
 Applied experience in machine learning, such as conducting model experiments.
 </li>
 <li>
 Experience in version control systems, such as Git, GitHub.
 </li>
 <li>
 Programming experience in SQL or NoSQL is preferred.
 </li>
 <li>
 Familiarity with big data technologies, such as Spark.
 </li>
 <li>
 Experience in deep learning frameworks, such as PyTorch.
 </li>
 <li>
 Expertise in Natural Language Understanding and/or Risk Management applications.
 </li>
 <li>
 Familiarity with containerization frameworks, such as Docker.
 </li>
 <li>
 Research experience in optimization and natural language processing (NLP).
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
 </li>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
 </li>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
 </li>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
 </li>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
 </li>
 </ul>
</div>

Data Scientist

Leuwint

<div><div>Skills
<div>Minimum 5+ years of experience is required. 
Strong understanding of AI/ML and GenAI concepts including LLMs, RAG, and prompt engineering. 
Knowledge of solution architecture, system integration, APIs, and microservices. 
Hands-on experience with Python, SQL, and machine learning frameworks. 
Exposure to MLOps practices, cloud platforms, and end-to-end model lifecycle management. 
Strong stakeholder management with effective communication across business and technical teams. 
Expertise in defining KPIs, tracking ROI, and measuring AI solution performance. 
Proven ability to identify AI use cases, prioritize roadmaps, and align initiatives with business goals. 
</div>Location
<div>Riyadh, Saudi Arabia</div></div></div>

Senior Data Scientist

atmaal

<div>
 
 Job Title: Data Scientist
 
 
 
 
 
 We are seeking a skilled Data Scientist to join our team in Riyadh. The selected candidate will be responsible for transforming business objectives into data-driven solutions by leveraging advanced analytics, machine learning, and artificial intelligence. This role requires strong analytical thinking, technical expertise, and the ability to translate complex data into actionable insights that support business decisions.
 
 
 
 
 
 Key Responsibilities:
 
 
 &bull; Collaborate with business units to understand strategic objectives and translate them into data science problems and practical use cases.
 
 
 &bull; Design and develop predictive models such as regression, classification, forecasting, and segmentation to identify patterns and anticipate future trends.
 
 
 &bull; Utilize prescriptive analytics techniques including optimization algorithms, scenario modeling, and advanced machine learning to recommend actionable strategies.
 
 
 &bull; Apply Natural Language Processing (NLP) techniques for use cases such as sentiment analysis, text classification, and entity extraction from unstructured data.
 
 
 &bull; Conduct exploratory data analysis (EDA) to understand data behavior, detect anomalies, and uncover hidden patterns.
 
 
 &bull; Utilize Generative AI capabilities for tasks such as content summarization, automated insight extraction, and code generation.
 
 
 &bull; Develop and deploy analytical solutions using platforms such as Vertex AI for model development and Power BI for data visualization, ensuring alignment with business workflows.
 
 
 &bull; Communicate complex analytical findings through clear visualizations and data storytelling techniques for both technical and non-technical stakeholders.
 
 
 &bull; Continuously validate and refine models to ensure accuracy, reliability, and alignment with evolving business needs.
 
 
 &bull; Document methodologies, model assumptions, and workflows to ensure transparency and reproducibility across the data science lifecycle.
 
 
 
 
 
 Education:
 
 
 &bull; Bachelor&rsquo;s degree in Data Science, Computer Science, Artificial Intelligence, Statistics, or a related field.
 
 
 
 
 
 Experience:
 
 
 &bull; 3&ndash;5 years of experience in Data Science, Advanced Analytics, or a related field.
 
 
 
 
 
 Technical Expertise:
 
 
 &bull; Power BI
 
 
 &bull; BigQuery
 
 
 &bull; Vertex AI
 
 
 &bull; Google Cloud Platform (GCP)
 
 
 &bull; Google Cloud Storage
 
 
 &bull; Python
 
</div>

Explore 580+ Ai machine learning engineer in Riyadh this March. Find roles across top companies and apply now to boost your career.

580 ai machine learning engineer jobs In Riyadh

AI & Machine Learning Engineer

Google Cloud AI Specialist

AI Specialist

Data Architect

Data Scientist

Senior Data Scientist

Data Scientist