50 AI Expert jobs in Saudi Arabia

Responsibilities:

• Work closely with data scientists, engineers, and product teams to understand business needs and identify opportunities for AI applications.
  
• Develop and implement machine learning models using Python or other relevant programming languages (e.g., R, Java).
  
• Prepare, pre-process, and analyze data to train and improve models.
  
• Evaluate and monitor model performance, adjusting as needed to optimize outcomes.
  
• Document your work clearly and concisely, ensuring effective team communication.
  
• Stay informed about the latest advancements in AI, ML, and relevant technologies.
  

Qualifications:

• Bachelor's degree in Computer Science, Data Science, Mathematics, or another related field.
  
• 1-2 years of experience in AI or machine learning development.
  
• Strong understanding of fundamental ML concepts (e.g., supervised learning, unsupervised learning, neural networks).
  
• Proven ability to code in Python and familiarity with other relevant programming languages.
  
• Excellent analytical and problem-solving skills.
  
• Strong communication and collaboration skills.
  
• A passion for learning and exploring new technologies.
  

Bonus Points:

• Experience in specific AI libraries or frameworks (e.g., TensorFlow, PyTorch).
  
• Knowledge of cloud platforms for AI development (e.g., AWS SageMaker, Microsoft Azure Machine Learning).
  
• Experience in data visualization and storytelling.
  
• Understanding of the ethical considerations surrounding AI.
  

Join to apply for the Senior Specialist - AI & Data Science role at Norconsult Telematics

Join to apply for the Senior Specialist - AI & Data Science role at Norconsult Telematics

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Job Posting location will be Riyadh, Saudi Arabia (on-site)

Position Objectives:

• Lead the development of scalable data pipelines and end-to-end AI/ML solutions, incorporating both traditional machine learning and Generative AI (LLMs, RAG, Agentic AI) to address real-world business challenges.
• Drive experimentation, explainability (SHAP, LIME), model deployment, and insight delivery in collaboration with cross-functional teams to produce measurable, stakeholder-aligned outcomes.

Job Descriptions & Responsibilities:

• Perform data exploration, profiling, cleaning, feature engineering, and statistical analysis to prepare high-quality datasets for modeling.
• Develop, fine-tune, and validate ML/DL models using Python (Scikit-learn, TensorFlow, PyTorch) and integrate Generative AI components like LLMs, prompt engineering, and RAG pipelines.
• Apply model explainability techniques (e.g., SHAP, LIME) to enhance transparency and trust in AI outputs.
• Contribute to the design of agentic AI workflows (e.g., reasoning loops, task orchestration via LangChain or AutoGen).
• Collaborate with cross-functional teams (AI, MLOps, Data, Applications) to align solutions with business needs and ensure smooth deployment.
• Support insight delivery through BI tools (e.g., Power BI), data storytelling, and stakeholder-focused presentations.
• Ensure timely delivery of prototypes, deployments, and iterations, while adapting to evolving tools and frameworks.
• Achieve quarterly benchmarks for validated models, reusable data pipelines, and impactful AI solutions using GenAI/Agentic AI.
• Drive stakeholder satisfaction by delivering actionable insights, accurate reports, and architecture walkthroughs.
• Exhibit strong communication, problem-solving, and time management skills while maintaining business empathy and customer focus.

Qualification & Experience:

• Bachelor’s or Master’s degree in Statistics, Computer Science, Data Science, Mathematics, or Engineering.
• 4+ years of hands-on experience in Data Science or AI/ML roles with proven model deployment.
• Strong foundation in machine learning, deep learning, statistical analysis, and Generative AI.
• Proficient in Python (NumPy, Pandas, Scikit-learn, Matplotlib, Transformers) and SQL.
• Experience with deep learning frameworks (TensorFlow, PyTorch) and GenAI libraries (Hugging Face, LangChain).
• Skilled in LLM fine-tuning, embedding models, RAG pipelines, and agentic AI workflows.
• Familiar with data storage optimization, low-latency model serving, and OpenShift AI platform concepts.
• Knowledge of BI tools (e.g., Power BI), data modeling, and storytelling for business insights.
• Relevant certifications/workshops in AI, ML/DL, or Cloud platforms (AWS, GCP, Azure) preferred.
• Language: English – mandatory; Arabic – an added advantage.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Design and Engineering
• Industries Information Services, IT Services and IT Consulting, and Telecommunications

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About the team:

Hudhud Maps Data Science team’s mission is to harness the power of data to build intelligent solutions that elevate the user experience, optimize decision-making, and improve operational efficiencies. As a leader in this team, you will be at the forefront of using cutting-edge AI and machine learning models to solve complex challenges in the MENA region. You’ll work with and hire some of the brightest data science talent, leveraging state-of-the-art technologies such as machine learning, optimization, deep learning, and NLP to transform how cities are mapped and navigated, all while driving real-time impact through our in-house AI and data infrastructure.

What you will do:

• Develop a vision and thought leadership in the space of mapping and location-based intelligence, gaining deep expertise in this domain.
• Define a clear roadmap for the data science teams, ensuring alignment with both product and business goals, while driving team growth and development.
• Lead and scale a distributed Data Science team, collaborating with cross-functional teams to solve challenges in multiple subdomains, including POI (Points of Interest) collection and enrichment, road and map features generation, search, personalization and real-time navigation.
• Develop innovative AI models and data strategies to solve previously unsolvable problems, unlocking new opportunities for Hudhud Maps to deliver exceptional value to users.
• Collaborate with leadership to ensure data science initiatives directly contribute to the company’s strategic goals and have a meaningful impact on the organization.
• Partner with engineering and product teams to deliver major cross-functional projects that push the boundaries of mapping technology.
• Reimagine and reinvent how mapping and navigation are experienced in the region using AI-driven approaches.
• Foster collaboration with external AI communities, universities, and the broader tech ecosystem in the MENA region to raise the bar for applied AI.

What you will need:

• An advanced degree in a quantitative field such as computer science, statistics, economics, or mathematics.
• At least 8+ years of professional experience working in data science and machine learning teams.
• Strong experience in building, managing, and growing data science teams is essential.
• A proven track record of delivering high-impact AI solutions and successfully leading cross-functional projects.
• Experience launching new products and continuously improving them over time.
• Demonstrated ability to attract, retain, and nurture top-tier talent.
• A passion for fostering a culture of ownership, collaboration, and results.
• Excellent leadership, communication, critical thinking, and judgment skills.
• A strong motivation to make an impact and elevate the AI landscape in the region.

3 weeks ago Be among the first 25 applicants

SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

Responsibilities:

• Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
• Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
• Oversee the design and implementation of innovative data science projects that drive value for the organization
• Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
• Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
• Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
• Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
• Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
  
  

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
• Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
• Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
• Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
• Excellent project management skills and ability to prioritize tasks in a fast-paced environment
• Strong analytical and problem-solving skills with attention to detail
• Exceptional communication skills, both verbal and written, in English and Arabic
• Proven capability to drive collaboration across teams and influence senior stakeholders
  
  

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at SWATX by 2x

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

About the team:

Hudhud Maps Data Science team’s mission is to harness the power of data to build intelligent solutions that elevate the user experience, optimize decision-making, and improve operational efficiencies. As a leader in this team, you will be at the forefront of using cutting-edge AI and machine learning models to solve complex challenges in the MENA region. You’ll work with and hire some of the brightest data science talent, leveraging state-of-the-art technologies such as machine learning, optimization, deep learning, and NLP to transform how cities are mapped and navigated, all while driving real-time impact through our in-house AI and data infrastructure.

What you will do:

• Develop a vision and thought leadership in the space of mapping and location-based intelligence, gaining deep expertise in this domain.
• Define a clear roadmap for the data science teams, ensuring alignment with both product and business goals, while driving team growth and development.
• Lead and scale a distributed Data Science team, collaborating with cross-functional teams to solve challenges in multiple subdomains, including POI (Points of Interest) collection and enrichment, road and map features generation, search, personalization and real-time navigation.
• Develop innovative AI models and data strategies to solve previously unsolvable problems, unlocking new opportunities for Hudhud Maps to deliver exceptional value to users.
• Collaborate with leadership to ensure data science initiatives directly contribute to the company’s strategic goals and have a meaningful impact on the organization.
• Partner with engineering and product teams to deliver major cross-functional projects that push the boundaries of mapping technology.
• Reimagine and reinvent how mapping and navigation are experienced in the region using AI-driven approaches.
• Foster collaboration with external AI communities, universities, and the broader tech ecosystem in the MENA region to raise the bar for applied AI.

What you will need:

• An advanced degree in a quantitative field such as computer science, statistics, economics, or mathematics.
• At least 8+ years of professional experience working in data science and machine learning teams.
• Strong experience in building, managing, and growing data science teams is essential.
• A proven track record of delivering high-impact AI solutions and successfully leading cross-functional projects.
• Experience launching new products and continuously improving them over time.
• Demonstrated ability to attract, retain, and nurture top-tier talent.
• A passion for fostering a culture of ownership, collaboration, and results.
• Excellent leadership, communication, critical thinking, and judgment skills.
• A strong motivation to make an impact and elevate the AI landscape in the region.

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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Apply

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info_outline X Applicants to this role must have work authorization in Saudi Arabia as this role is not eligible for work visa sponsorship.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Dubai - United Arab Emirates; Doha, Qatar; Tel Aviv, Israel; Riyadh Saudi Arabia .

• Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
• 5 years of experience as a technical Solution Architect in a cloud computing environment or a customer-facing role.
• Experience with Large Language Models (LLMs), Open Source, Big Data, Machine Learning, and numerical programming frameworks.
• Experience with AI products, technologies, and infrastructure.
• Ability to communicate in Arabic and English fluently, to support client relationship management in this region.

• Master's degree in Computer Science or a related technical field.
• Experience with building AI and machine learning solutions, Machine Learning Operation frameworks like Kubeflow, and leveraging specific machine learning architectures (e.g., deep learning, LSTM, etc.).
• Experience in architecting and developing software or infrastructure for scalable, distributed systems and with machine learning technologies.
• Experience in building scalable software architectures that use agentic or GenAI driven capabilities.
• Understanding of AI Models, Large Language Models, and AI specialized infrastructure especially as it relates to AI trends and issues within businesses.
• Understanding of responsible AI practice.

The Google Cloud Platform Generative AI Black Belt team helps customers unlock their potential with AI. As part of an entrepreneurial team in this rapidly growing business, you will help shape the future of businesses of all sizes using Artificial Intelligence (AI) and Machine Learning (ML).

As a Generative Artificial Intelligence (AI) Specialist, you will work with Product Development and Technical Business teams as an Generative AI subject matter expert to bring Google Cloud AI products to customers and partners.

In this role, you will help prospective customers and partners understand the power of Google AI, explaining technical features, helping customers design architectures, build AI powered applications, and problem-solving any potential roadblocks. You will also have the opportunity to help customers leverage Google Cloud’s Generative AI services, including Large Language Models and specialized Machine Learning (ML) hardware developed by Google, called Tensor Processing Unit.

About the job

The Google Cloud Platform Generative AI Black Belt team helps customers unlock their potential with AI. As part of an entrepreneurial team in this rapidly growing business, you will help shape the future of businesses of all sizes using Artificial Intelligence (AI) and Machine Learning (ML).

As a Generative Artificial Intelligence (AI) Specialist, you will work with Product Development and Technical Business teams as an Generative AI subject matter expert to bring Google Cloud AI products to customers and partners.

In this role, you will help prospective customers and partners understand the power of Google AI, explaining technical features, helping customers design architectures, build AI powered applications, and problem-solving any potential roadblocks. You will also have the opportunity to help customers leverage Google Cloud’s Generative AI services, including Large Language Models and specialized Machine Learning (ML) hardware developed by Google, called Tensor Processing Unit.

• Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
• Provide Artificial Intelligence (AI) expertise to support the technical relationship with Google’s customers, manage product and solution briefings, create demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
• Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution Google Cloud.
• Support developers, creators, and enterprises to leverage Google’s Generative Language APIs so they can build their own AI products in the future.
• Travel to customer sites, conferences, and other related events as needed.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

• link Copy link

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Apply

• link Copy link

info_outline X Applicants to this role must have work authorization in Saudi Arabia as this role is not eligible for work visa sponsorship.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Dubai - United Arab Emirates; Doha, Qatar; Tel Aviv, Israel; Riyadh Saudi Arabia .

• Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
• 5 years of experience as a technical Solution Architect in a cloud computing environment or a customer-facing role.
• Experience with Large Language Models (LLMs), Open Source, Big Data, Machine Learning, and numerical programming frameworks.
• Experience with AI products, technologies, and infrastructure.
• Ability to communicate in Arabic and English fluently, to support client relationship management in this region.

• Master's degree in Computer Science or a related technical field.
• Experience with building AI and machine learning solutions, Machine Learning Operation frameworks like Kubeflow, and leveraging specific machine learning architectures (e.g., deep learning, LSTM, etc.).
• Experience in architecting and developing software or infrastructure for scalable, distributed systems and with machine learning technologies.
• Experience in building scalable software architectures that use agentic or GenAI driven capabilities.
• Understanding of AI Models, Large Language Models, and AI specialized infrastructure especially as it relates to AI trends and issues within businesses.
• Understanding of responsible AI practice.

The Google Cloud Platform Generative AI Black Belt team helps customers unlock their potential with AI. As part of an entrepreneurial team in this rapidly growing business, you will help shape the future of businesses of all sizes using Artificial Intelligence (AI) and Machine Learning (ML).

As a Generative Artificial Intelligence (AI) Specialist, you will work with Product Development and Technical Business teams as an Generative AI subject matter expert to bring Google Cloud AI products to customers and partners.

In this role, you will help prospective customers and partners understand the power of Google AI, explaining technical features, helping customers design architectures, build AI powered applications, and problem-solving any potential roadblocks. You will also have the opportunity to help customers leverage Google Cloud’s Generative AI services, including Large Language Models and specialized Machine Learning (ML) hardware developed by Google, called Tensor Processing Unit.

The Google Cloud Platform Generative AI Black Belt team helps customers unlock their potential with AI. As part of an entrepreneurial team in this rapidly growing business, you will help shape the future of businesses of all sizes using Artificial Intelligence (AI) and Machine Learning (ML).

As a Generative Artificial Intelligence (AI) Specialist, you will work with Product Development and Technical Business teams as an Generative AI subject matter expert to bring Google Cloud AI products to customers and partners.

In this role, you will help prospective customers and partners understand the power of Google AI, explaining technical features, helping customers design architectures, build AI powered applications, and problem-solving any potential roadblocks. You will also have the opportunity to help customers leverage Google Cloud’s Generative AI services, including Large Language Models and specialized Machine Learning (ML) hardware developed by Google, called Tensor Processing Unit.

• Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
• Provide Artificial Intelligence (AI) expertise to support the technical relationship with Google’s customers, manage product and solution briefings, create demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
• Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution Google Cloud.
• Support developers, creators, and enterprises to leverage Google’s Generative Language APIs so they can build their own AI products in the future.
• Travel to customer sites, conferences, and other related events as needed.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.