artificial intelligence engineer

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description: AI / ML Engineer</h1>
Job Title: AI / ML Engineer 
Experience: 3&ndash;11 Years 
Location: Riyadh (Onsite) 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Job Overview</h2>
We are seeking a skilled AI / ML Engineer with 3&ndash;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.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design, develop, train, and deploy machine learning and deep learning models for enterprise applications.</li><li>
Build and optimize end-to-end ML pipelines for data ingestion, model training, evaluation, and deployment.</li><li>
Develop Generative AI and LLM-powered applications using modern AI frameworks.</li><li>
Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions.</li><li>
Deploy and monitor ML models on cloud platforms while ensuring scalability, reliability, and security.</li><li>
Optimize model performance through feature engineering, hyperparameter tuning, and continuous evaluation.</li><li>
Implement MLOps best practices including model versioning, monitoring, and CI/CD automation.</li><li>
Stay current with advancements in AI, machine learning, and cloud AI services.</li></ul><h2 class="jobSectionHeader">
Required Technical Skills</h2><h3 class="jobSectionHeader">
Cloud AI Platforms</h3><ul><li>
Hands-on experience with GCP Vertex AI or Azure Machine Learning or AWS SageMaker.</li><li>
Experience with Azure OpenAI or AWS Bedrock for Generative AI solutions.</li><li>
Experience with BigQuery ML and Dataflow for data processing and machine learning workflows.</li></ul><h3 class="jobSectionHeader">
Programming &amp; Machine Learning</h3><ul><li>
Strong proficiency in Python.</li><li>
Experience developing machine learning solutions using TensorFlow or PyTorch.</li><li>
Strong understanding of supervised, unsupervised, reinforcement learning, and deep learning concepts.</li></ul><h3 class="jobSectionHeader">
Generative AI &amp; LLM Frameworks</h3><ul><li>
Experience with Hugging Face and LangChain for building LLM-powered applications.</li><li>
Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases is preferred.</li></ul><h3 class="jobSectionHeader">
Data Engineering &amp; Analytics</h3><ul><li>
Experience with Databricks for data engineering, model development, and analytics workflows.</li><li>
Strong understanding of data preprocessing, feature engineering, and large-scale data processing.</li></ul><h3 class="jobSectionHeader">
MLOps &amp; Deployment</h3><ul><li>
Experience deploying machine learning models into production.</li><li>
Knowledge of Docker, Kubernetes, CI/CD pipelines, and model monitoring is an advantage.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.</li><li>
3&ndash;11 years of professional experience in AI, Machine Learning, or Data Science.</li><li>
Strong analytical, mathematical, and problem-solving skills.</li><li>
Experience working in Agile development environments.</li><li>
Excellent communication and collaboration skills.</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Experience with Large Language Models (LLMs) and Generative AI applications.</li><li>
Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents.</li><li>
Experience with distributed model training and cloud-native AI architectures.</li><li>
Cloud certifications in AWS, Azure, or Google Cloud are a plus.</li></ul><h2 class="jobSectionHeader">
Key Technology Stack</h2><ul><li>
Cloud AI: GCP Vertex AI or Azure Machine Learning or AWS SageMaker</li><li>
Generative AI: Azure OpenAI or AWS Bedrock and Large Language Models (LLMs)</li><li>
Data Processing: BigQuery ML and Dataflow and Databricks</li><li>
Programming: Python</li><li>
Machine Learning Frameworks: TensorFlow or PyTorch</li><li>
LLM Frameworks: Hugging Face or LangChain</li><li>
MLOps: Docker and Kubernetes and CI/CD (Preferred)</li></ul>
kmeseaCmpf</div>

AI / ML Engineer

Jaarvis Technologies

Key Responsibilities<ul><li>Design, develop, train, and deploy AI and Machine Learning models for business applications.</li><li>Build and optimize data pipelines for data collection, preprocessing, and feature engineering.</li><li>Develop AI-powered applications using NLP, Computer Vision, Predictive Analytics, and Generative AI technologies.</li><li>Integrate AI solutions with enterprise applications, APIs, and cloud platforms.</li><li>Evaluate, monitor, and improve the performance and accuracy of AI models.</li><li>Collaborate with data scientists, software developers, and business stakeholders to translate business requirements into AI solutions.</li><li>Perform model testing, validation, deployment, and ongoing maintenance.</li><li>Work with structured and unstructured datasets to derive actionable insights.</li><li>Prepare technical documentation, model reports, and deployment guidelines.</li><li>Stay updated with the latest advancements in Artificial Intelligence, Machine Learning, and Generative AI technologies.</li></ul>Required Qualifications<ul><li>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.</li><li>3&ndash;4 years of hands-on experience in AI/ML solution development and deployment.</li><li>Strong proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, or similar.</li><li>Experience with Large Language Models (LLMs), Generative AI, Natural Language Processing (NLP), or Computer Vision.</li><li>Strong knowledge of SQL and NoSQL databases.</li><li>Experience with REST APIs, microservices, and cloud platforms (Azure, AWS, or Google Cloud).</li><li>Familiarity with MLOps, model deployment, Docker, and Git version control.</li><li>Strong analytical, problem-solving, and debugging skills.</li><li>Excellent communication and teamwork abilities.</li><li>Arabic speaking is mandatory. English communication skills are also required.</li></ul>Preferred Skills<ul><li>Experience with Azure AI Services, Azure OpenAI, AWS SageMaker, or Google Vertex AI.</li><li>Knowledge of RAG (Retrieval-Augmented Generation), vector databases, and prompt engineering.</li><li>Experience with Power BI or Tableau for AI-driven analytics.</li><li>Familiarity with DevOps and CI/CD pipelines.</li><li>AI-related certifications are an added advantage.</li></ul>Pay: ﷼7,530.39 - ﷼19,466.35 per monthWork Location: In person

AI Engineer

Prince Sultan University

<div>
 Institution: Prince Sultan University Location: Riyadh Category: Academic Posted: January 4, 2026 Application Due: August 31, 2026 Type: Full Time
 
 
 
 Faculty Required
 
 
 
 Computer Science, Information Systems, and Software Engineering (Males and Females).
 
 
 
 Job Summary
 
 
 
 The College of Computer and Information Sciences is seeking applicants with the rank of Assistant Professor, Associate Professor, or Full Professor
 
 for the first semester of the next academic year 2026/2027, which starts on August 9th, 2026.
 
 
 
 The candidate is expected to teach courses in the different programs including Bachelor of Computer Science, Bachelor of Information Systems, Bachelor of Software Engineering, Master of Software Engineering, Master of Cybersecurity, and PhD programs in domains of Cybersecurity, Artificial Intelligence, Data Science, Business Analytics, and Digital Transformation, Game Development, Robotics, Drones, and Mobile App Development. In addition, successful candidates will be expected to conduct research, supervise student work, and engage in research activities and administrative work for the college and the community.
 
 
 <ul>
 <li>
 A suitable candidate would demonstrate:
 </li>
 <li>
 PhD degree in the computing fields (Computer Science, Software engineering, and Information Systems) from accredited universities in North America and Europe, with a preference for specializations in Cybersecurity, Artificial Intelligence, Data Science, Business Analytics, Digital Transformation, Game Development, Robotics, Drones, and Mobile App Development.
 </li>
 <li>
 SDG background to be integrated in the college Curricula.
 </li>
 <li>
 An intensive and high teaching quality record.
 </li>
 <li>
 A track record of or potential to, secure external funding and produce high-quality research.
 </li>
 <li>
 A track record of, or evidence of potential to, publish in leading international peer-reviewed journals (ISI and Scopus Q1, Q2).
 </li>
 <li>
 Experience in supervising undergraduate and postgraduate research students.
 </li>
 <li>
 The ability to develop new areas of the curriculum should the need arise.
 
 
 </li>
 </ul>
 For further details about the college undergraduate programs, courses and study plans, please refer to the website:
 
 https://www.psu.edu.sa/CCIS
 
 
 
 
 Salary And Benefits
 
 
 
 The University is continuously expanding and its campus is situated in well-equipped new premises in north-central Riyadh.
 
 
 <ul>
 <li>
 We offer a one-year renewable contract (renewable subject to Dean/Director and student evaluation) and a competitive salary package based on academic qualification, rank, and teaching experience as stated above;
 </li>
 <li>
 Other benefits include medical insurance coverage for the employee &amp; dependents residing within the Kingdom, (spouse &amp; 4 children below 24 years of age);
 </li>
 <li>
 Transport allowance;
 </li>
 <li>
 Round trip tickets (maximum 4: employee, spouse, and 2 children below 18 years of age) for annual leave with paid annual (summer) vacation of two (2) months, plus 2 local paid holidays of about 15 days each (as applicable);
 </li>
 <li>
 Tuition fees of Saudi Riyals 30,000 maximum for children attending school within the Kingdom. Details will be specified in the contract.
 </li>
 <li>
 Free, furnished accommodation plus essential utilities and maintenance will be provided subject to availability, OR the successful candidate will be provided a housing allowance based on academic rank.
 </li>
 <li>
 End-of-service yearly gratuity, which starts on the 2nd year of continuous service (if the candidate completed a minimum of 2 years.)
 
 
 </li>
 </ul>
 
 About Prince Sultan University
 
 
 
 Prince Sultan University is the first private university in Saudi Arabia to have been awarded accreditation by the National Commission for Assessment &amp; Academic Accreditation (NCAAA). Further, it is the youngest university to have achieved such a milestone.
 
 
 Prince Sultan University is the first private university in Saudi Arabia and emphasizes excellence in teaching, research, and community services. PSU offers a Preparatory Year Program in which students develop their English, Mathematics, Computer, and Physical Education/Health and Recreation skills to the standards required for study.
 
 
 
 How To Apply
 
 
 
 Apply with a cover letter using this link: https://docs.google.com/forms/d/e/1FAIpQLSevZ_ndXDa2vjfabvSp_5Aw0OWec1TR1zpUIlolsNhvpG6zOw/viewform
</div>

MASTER-WORKS

<div>Master Works is seeking a detail-oriented and analytical Data Management, Specialist to support and lead activities across multiple data management domains. The successful candidate will be responsible for ensuring the accuracy, integrity, security, and accessibility of organizational data by managing data collection, validation, maintenance, governance, and quality processes. You will work closely with cross-functional teams to develop and implement data management standards, improve data quality, ensure compliance with company policies and regulatory requirements, support reporting and analytics, and drive continuous improvement initiatives that enable informed decision-making and operational excellence. 
Key Responsibilities
<ul><li>Develop and maintain enterprise Data Governance frameworks, including policies, standards, procedures, and controls for Data Quality, Metadata, Master Data, Reference Data, and AI Governance.
</li><li>Manage and monitor Data Quality and Metadata by establishing KPIs, conducting assessments, maintaining the Enterprise Data Catalog and Business Glossary, documenting data lineage, and ensuring compliance with organizational and NDMO requirements.
</li><li>Govern Master and Reference Data by standardizing data definitions, assigning Data Owners and business responsibilities, maintaining reference data, and ensuring data consistency, integrity, and compliance across enterprise systems.
</li><li>Design, develop, and maintain Power BI dashboards, reports, and data visualizations by integrating enterprise data sources to support business intelligence, reporting, and informed decision-making.</li><li>
Develop and implement AI Governance policies, standards, and controls, assess AI-related risks, review AI use cases, and ensure the responsible, ethical, and compliant use of AI solutions.</li><li>
Collaborate with business units, IT, Cybersecurity, Data Owners, and other stakeholders to resolve data governance issues, drive continuous improvement initiatives, and ensure effective implementation of governance practices.</li><li>
Prepare and present governance, compliance, quality, and maturity reports, support NDMO and National Data Index (NDI) compliance initiatives, and promote enterprise-wide awareness of Data Governance and AI Governance best practices</li></ul> 

Requirements 
<ul><li>
Bachelor's degree in Data Science, Computer Science, Information Systems, Information Technology, Software Engineering, Artificial Intelligence or Data Analytics.</li><li>
A Master's degree is considered an advantage.
</li><li>Relevant professional certifications (e.g., CDMP, DGSP, Microsoft Power BI Certification, DAMA-related certifications, or AI Governance/AI Ethics certifications) are highly desirable.</li><li>
5&ndash;7 years of relevant experience in Data Management or Data Governance.</li><li>
Demonstrated experience in implementing NDMO controls or similar enterprise data governance frameworks.</li><li>
Experience with metadata management, data quality, master data management, and business intelligence.</li><li>
Experience working with enterprise Data Governance platforms (e.g., Informatica, Collibra, Alation, or equivalent).</li><li>
Hands-on Power BI experience.</li><li>
Experience with AI Governance is highly desirable.</li><li>
Strong analytical and problem-solving skills.</li><li>
Excellent communication and stakeholder management.</li><li>
Ability to lead cross-functional initiatives.</li><li>
Report writing and presentation skills.</li><li>
Strong coordination and project management capabilities.</li></ul>
Technical Skills<ul><li>
Data Governance</li><li>
Data Quality Management</li><li>
Metadata Management</li><li>
Data Catalog</li><li>
Business Glossary</li><li>
Master Data Management (MDM)</li><li>
Reference Data Management (RDM)</li><li>
Power BI</li><li>
SQL (Preferred)</li><li>
Data Modeling Concepts</li><li>
Data Lineage</li><li>
Data Architecture Fundamentals</li><li>
AI Governance Principles
</li></ul>Job location: Client Site</div>

Data Management, Specialist

<div><h1 class="jobSectionHeader">Job Description: Analytics &amp; Transformation Engineer</h1>
Job Title: Analytics &amp; Transformation Engineer 
Experience: 3&ndash;11 Years 
Location: Riyadh - Onsite 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Job Overview</h2>
We are seeking an experienced Analytics &amp; Transformation Engineer with 3&ndash;11 years of experience to drive data-driven transformation initiatives through advanced analytics, reporting, measurement frameworks, and business intelligence solutions. The ideal candidate will have expertise in dashboard development, semantic modeling, behavioral analytics, experimentation, and analytics implementation processes. This role requires strong analytical thinking and the ability to translate business objectives into measurable data solutions.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design and develop scalable analytics solutions to support business transformation initiatives.</li><li>
Build executive dashboards, reports, and analytical models to enable data-driven decision-making.</li><li>
Develop and maintain semantic models, metrics frameworks, and reporting standards.</li><li>
Perform behavioral analytics to understand user journeys, engagement patterns, and business performance.</li><li>
Define and implement event tracking strategies, analytics taxonomies, and measurement frameworks.</li><li>
Collaborate with product, engineering, marketing, and business teams to establish data-driven processes.</li><li>
Perform tracking implementation QA and ensure accuracy of analytics data collection.</li><li>
Conduct A/B testing analysis and evaluate the impact of product and business changes.</li><li>
Perform post-launch transaction analysis and ensure analytics readiness for new initiatives.</li><li>
Identify opportunities for process optimization and business improvement through data insights.</li></ul><h2 class="jobSectionHeader">
Required Technical Skills</h2><h3 class="jobSectionHeader">
Business Intelligence &amp; Visualization</h3><ul><li>
Hands-on experience with Power BI or Tableau or Looker for dashboard creation and analytics reporting.</li><li>
Experience developing interactive dashboards, KPI reporting, and executive-level visualizations.</li></ul><h3 class="jobSectionHeader">
Data Modeling &amp; Analytics Engineering</h3><ul><li>
Strong experience with SQL and dbt for data transformation and analytics workflows.</li><li>
Experience designing and maintaining semantic models and reusable analytical datasets.</li><li>
Understanding of data modeling concepts, metrics definitions, and reporting frameworks.</li></ul><h3 class="jobSectionHeader">
Product &amp; Behavioral Analytics</h3><ul><li>
Experience with Mixpanel or Amplitude or Google Analytics or Hotjar for user behavior analysis.</li><li>
Strong understanding of behavioral analytics, user journey tracking, and engagement measurement.</li><li>
Experience defining metrics, event taxonomy planning, and tracking implementation QA.</li></ul><h3 class="jobSectionHeader">
Experimentation &amp; Measurement</h3><ul><li>
Experience designing and analyzing A/B testing initiatives.</li><li>
Ability to measure business impact through controlled experiments and analytical insights.</li><li>
Experience with post-launch analysis, transaction analysis, and performance tracking.</li></ul><h3 class="jobSectionHeader">
Reporting &amp; Productivity Tools</h3><ul><li>
Advanced proficiency in Microsoft Excel for analysis, reporting, and data validation.</li><li>
Experience working with analytics methodologies and comparable tools/platforms.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, or a related field.</li><li>
3&ndash;11 years of professional experience in Analytics, Business Intelligence, Data Transformation, or Product Analytics.</li><li>
Strong analytical, problem-solving, and communication skills.</li><li>
Ability to work with technical and non-technical stakeholders.</li><li>
Experience working in Agile/Scrum environments.</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Experience supporting digital transformation and product analytics initiatives.</li><li>
Knowledge of cloud data platforms such as AWS, Azure, or Google Cloud Platform.</li><li>
Familiarity with data governance, analytics standards, and measurement frameworks.</li><li>
Experience working with large-scale datasets and enterprise reporting environments.</li><li>
Certifications in analytics, BI tools, or cloud technologies are a plus.</li></ul><h2 class="jobSectionHeader">
Key Technology Stack</h2><ul><li>
Business Intelligence: Power BI or Tableau or Looker</li><li>
Analytics Engineering: dbt and SQL</li><li>
Data Modeling: Semantic Models and Metrics Frameworks</li><li>
Behavioral Analytics: Mixpanel or Amplitude or Google Analytics or Hotjar</li><li>
Product Analytics: Behavioral Analytics and Event Taxonomy Planning and A/B Testing</li><li>
Reporting &amp; Analysis: Excel and Dashboard Creation</li><li>
Analytics Operations: Tracking Implementation QA and Post-Launch Transaction Analysis Readiness</li><li>
Comparable Tools &amp; Methods: Similar analytics, BI, and transformation platforms as required by business needs</li></ul>
YIaTsfUsPM</div>

Analytics & Transformation Engineer

CNTXT AI

<div>
 
 
 Position Summary
 
 
 
 This is a fully remote, hourly contractor role supporting AI data and language projects on a project-based, flexible hour basis. Project scopes vary and may include:
 
 <ul>
 <li>
 
 
 Data annotation:
 
 labeling, classifying, and structuring documents, tables, and other content to support AI training datasets.
 
 </li>
 <li>
 
 
 LLM evaluation:
 
 reviewing AI-generated responses for accuracy, reasoning quality, coherence, and cultural/linguistic appropriateness.
 
 </li>
 <li>
 
 
 Content generation:
 
 writing high-quality prompts and model responses to guide AI learning across diverse topics.
 
 </li>
 <li>
 
 
 Localization QA:
 
 ensuring terminology, tone, cultural nuance, and locale-specific details (units, references, names, dates) are consistently accurate across outputs.
 
 
 
 </li>
 </ul>
 
 You will apply senior-level Arabic localization and translation judgment alongside minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently accurate across use cases.
 
 
 
 Profile Requirements
 
 
 <ul>
 <li>
 
 Bachelor's degree or higher in Translation, Linguistics, Localization, Communications, or a related field.
 
 </li>
 <li>
 
 Native or near-native Arabic proficiency with strong writing and editing skills across Modern Standard Arabic and at least one dialect.
 
 </li>
 <li>
 
 Minimum C1 English proficiency (reading/writing) for interpreting prompts, source materials, and evaluation guidelines.
 
 </li>
 <li>
 
 Excellent editorial judgment in register, tone, punctuation, inclusivity, and cultural nuance, with extreme attention to detail.
 
 </li>
 <li>
 
 Ability to identify meaning drift, ambiguity, locale inconsistencies, and subtle errors, and to explain corrections clearly in writing.
 
 </li>
 <li>
 
 Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.
 
 </li>
 <li>
 
 Ability to identify reasoning gaps, methodological errors, and unclear explanations even when language is fluent.
 
 </li>
 <li>
 
 Reliable, self-directed, and able to deliver consistent quality with clear communication and responsiveness across time zones.
 
 
 
 </li>
 </ul>
 
 
 Preferred Experience
 
 
 <ul>
 <li>
 
 Professional localization or translation experience.
 
 </li>
 <li>
 
 Familiarity with MQM/LQA concepts (severity, category, and root-cause thinking) for consistent quality decisions.
 
 </li>
 <li>
 
 Proficiency with CAT tools and QA workflows (translation memory, termbases, automated checks).
 
 </li>
 <li>
 
 Previous experience with AI data training, annotation, or evaluation.
 
 
 
 </li>
 </ul>
 
 
 About CNTXT AI
 
 
 
 CNTXT AI builds artificial intelligence products and data solutions with a focus on making AI accurate, safe, and globally relevant for impact. Our work spans data services, custom AI solutions, and proprietary AI products, with deep expertise in Arabic-native and secure, sovereign solutions.
 
</div>

Arabic/English Bilingual AI Data Annotator & Evaluator (Remote, Hourly Contractor)

LaLaMove

<div><div><div>We are looking for a Sales Manager to lead and motivate a team of sales executives to meet and exceed team and individual goals. Your job is to build a high achieving sales team to identify sales leads, pitch Lalamove&rsquo;s services to new clients and maintain a good working relationship with new contacts. 

What we seek: 
<ul>
<li>
Leadership Skills: Ability to motivate your team, work with them to set and meet sales goals. You will be in charge of managing, hiring and motivating the team to strive for success.
</li><li>Analytical and Reporting Skills: You will take the sales numbers, analyze them to find weaknesses in the system, and report these to management. You will also be in charge of building the sales process to further increase the effectiveness of the sales team.
</li>
<li>Salesmanship: Must have vast experience in sales and know how to prospect and qualify leads, build relationships and follow up on new business opportunities.
</li>
<li>Managerial Skills: You must know the concepts of consultative selling in the context of selling a service and know how to pass on your knowledge to your team to hit team input and output KPIs.</li></ul> 
What you&rsquo;ll need: 
<ul>
<li>
Minimum 5 years relevant sales managerial working experience (Startup or logistics industry is a plus)
</li>
<li>Bachelor's degree Business, Finance or related discipline from a reputable institution
</li>
<li>Excellent problem solving, presentation and negotiation skills
</li>
<li>Willingness to roll up your sleeves and take accountability
</li><li>Must have excellent presentation and communications skills and be fluent in English
</li>
<li>Proficiency in CRM programs is a plus
</li>
</ul></div></div><div><div>To all candidates- Lalamove respects your privacy and is committed to protecting your personal data.</div><div>
This Notice will inform you how we will use your personal data, explain your privacy rights and the protection you have by the law when you apply to join us. Please take time to read and understand this Notice. Candidate Privacy Notice: https://www.lalamove.com/en-sa/candidate-privacy-notice</div></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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></div></div>

Sales Manager

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