403 AI Engineering jobs in Saudi Arabia
Deep Learning Engineer
Posted today
Job Viewed
Job Description
We're looking for highly motivated individuals with hands-on experience in Machine Learning and Deep Learning, particularly in Computer Vision and OCR (Optical Character Recognition) applications.
Key Responsibilities
- Apply and optimize existing ML/DL algorithms for real-world use cases
- Experiment with, fine-tune, and deploy models on virtual/cloud servers
- Build OCR applications from scratch, including layout detection and text extraction
- Work with NLP and text processing for unstructured data
- Collaborate on projects involving LLMs and Generative AI (a strong plus)
Preferred Skills
- Strong background in Computer Vision and OCR
- Familiarity with LLMs and Generative AI frameworks
- Experience with text processing and NLP techniques
- Ability to read and understand Arabic (a plus)
- Deployment and optimization experience on virtualized environments
If this sounds like you, we'd love to hear from you
Please send your resume with relevant experience to
AI Engineering Director
Posted 17 days ago
Job Viewed
Job Description
Proudly voted a Great Place to Work, we are a dynamic startup in the SaaS space that is revolutionizing the way businesses communicate. Our team is made up of 500 energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies.
We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we’re so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big!
As we continue to expand our technology capabilities, we are seeking a highly experienced and visionary Director of AI Development to lead our Artificial Intelligence initiatives and guide our team to new frontiers of innovation.
The Director of AI Development will be responsible for strategically shaping and executing our AI roadmap. This individual will lead a dedicated, multi-layered AI engineering organization—comprising AI Engineering Managers, Team Leads, and their squads—to design, build, and integrate advanced AI models, solutions, and platforms. By fostering a culture of continuous innovation, technical excellence, and cross-functional collaboration, the Director of AI Development will ensure that Unifonic remains at the cutting edge of AI technologies, delivering measurable value and transformative capabilities across the business.
Help us shape the future of communications by:
Defining the long-term AI strategy and roadmap in alignment with the company’s overall business objectives, product vision, and innovation goals
Staying abreast of emerging AI trends, technologies, tools, and best practices, and proactively identify opportunities for new integrations and enhancements
Overseeing the selection, design, and implementation of cutting-edge AI and machine learning models, ensuring alignment with stakeholder requirements and industry standards
Evaluating and integrating external AI solutions (e.g., provider APIs, pre-trained models) to augment internal capabilities and accelerate time-to-market
Exploring and validating new AI methods, algorithms, and frameworks to optimize performance, scalability, and accuracy
Leading, mentoring and developing AI Engineering Managers, supporting their growth and enabling them to effectively lead their respective teams of engineers and specialists
Fostering a collaborative, high-performance culture that emphasizes innovation, knowledge sharing, accountability, and professional development
Building and maintaining a talent pipeline, ensuring that the AI organization attracts, retains, and develops world-class engineering talent
Partnering closely with Product, Design, Data, Infrastructure, and other Engineering leaders to ensure the seamless integration of AI solutions into existing and future products
Collaborating with business stakeholders to understand AI-related requirements, communicate progress, and align on priorities and success metrics
Advocating for AI capabilities and communicate value to executive leadership, helping to shape strategic decisions and drive business outcomes
Establishing and maintaining engineering standards, processes, and best practices for model development, deployment, monitoring, and continuous improvement
Ensuring compliance with all relevant data privacy, security, and regulatory requirements in the development and deployment of AI solutions
Tracking and analyzing key performance indicators (KPIs), using data-driven insights to optimize performance, resource allocation, and return on investment
What you'll bring:
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field; Ph.D. preferred
10+ years of experience in software engineering, with at least 5 years focused on AI, machine learning, and advanced analytics
Demonstrated track record of delivering production-grade AI solutions at scale, ideally within a product-driven organization
Proven experience leading and building high-performing engineering teams, including managers and team leads
Deep understanding of modern AI/ML frameworks, architectures, and technologies (e.g., TensorFlow, PyTorch, large language models, generative AI, advanced NLP/NLU techniques)
Strong communication and stakeholder management skills, with the ability to effectively translate technical concepts into business value for senior leadership
Strategic mindset, with a results-oriented approach to innovation and a passion for continuously pushing technical boundaries
Must be fluent in Arabic and English
As a Unifone you’ll receive a range of benefits:
Competitive salary and bonus
Unifonic share scheme (we are all owners!)
30 holiday days after the first anniversary
Your Birthday off!
Spend up to 10 weeks per year working from anywhere in the world!
Paid leave for new parents
LinkedIn learning license
AI Engineering Officer
Posted 21 days ago
Job Viewed
Job Description
Join to apply for the AI Engineering Officer role at Takamol Holding .
OverviewJoin to apply for the AI Engineering Officer role at Takamol Holding .
Responsibilities- Develop, test, and deploy machine learning models and AI services to support various business initiatives.
- Collaborate with data scientists, software engineers, and business stakeholders to integrate AI solutions into existing systems.
- Optimize AI models for accuracy, scalability, and efficiency.
- Integrate AI SaaS-based services with existing or new products such as generative AI, vector databases and RAG solutions.
- Stay updated with the latest AI research and technologies to recommend innovative solutions.
- Assist in the quality control, deployment and monitoring of AI services in production environments.
- Ensure compliance with data privacy, security, and ethical standards related to AI.
- Document AI assets, workflows, and technical specifications.
- Support AI-related research and development projects.
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.
- Strong programming skills in Python, R, or similar languages.
- Experience with ML frameworks and AI cloud services such as Vertex AI and others.
- Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with cloud platforms (Azure, AWS, GCP) for AI deployment is preferred.
- Understanding of deep learning, NLP, computer vision, or other AI subfields is a plus.
- Strong analytical, problem-solving, and communication skills.
- Entry level
- Full-time
- Engineering and Information Technology
- Business Consulting and Services
Referrals increase your chances of interviewing at Takamol Holding by 2x
Get notified about new Engineering Officer jobs in Riyadh, Riyadh, Saudi Arabia .
#J-18808-LjbffrAI Engineering Director
Posted today
Job Viewed
Job Description
Proudly voted a Great Place to Work, we are a dynamic startup in the SaaS space that is revolutionizing the way businesses communicate. Our team is made up of 500 energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies.
We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we’re so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big!
As we continue to expand our technology capabilities, we are seeking a highly experienced and visionary Director of AI Development to lead our Artificial Intelligence initiatives and guide our team to new frontiers of innovation.
The Director of AI Development will be responsible for strategically shaping and executing our AI roadmap. This individual will lead a dedicated, multi-layered AI engineering organization—comprising AI Engineering Managers, Team Leads, and their squads—to design, build, and integrate advanced AI models, solutions, and platforms. By fostering a culture of continuous innovation, technical excellence, and cross-functional collaboration, the Director of AI Development will ensure that Unifonic remains at the cutting edge of AI technologies, delivering measurable value and transformative capabilities across the business.
Help us shape the future of communications by:
Defining the long-term AI strategy and roadmap in alignment with the company’s overall business objectives, product vision, and innovation goals
Staying abreast of emerging AI trends, technologies, tools, and best practices, and proactively identify opportunities for new integrations and enhancements
Overseeing the selection, design, and implementation of cutting-edge AI and machine learning models, ensuring alignment with stakeholder requirements and industry standards
Evaluating and integrating external AI solutions (e.g., provider APIs, pre-trained models) to augment internal capabilities and accelerate time-to-market
Exploring and validating new AI methods, algorithms, and frameworks to optimize performance, scalability, and accuracy
Leading, mentoring and developing AI Engineering Managers, supporting their growth and enabling them to effectively lead their respective teams of engineers and specialists
Fostering a collaborative, high-performance culture that emphasizes innovation, knowledge sharing, accountability, and professional development
Building and maintaining a talent pipeline, ensuring that the AI organization attracts, retains, and develops world-class engineering talent
Partnering closely with Product, Design, Data, Infrastructure, and other Engineering leaders to ensure the seamless integration of AI solutions into existing and future products
Collaborating with business stakeholders to understand AI-related requirements, communicate progress, and align on priorities and success metrics
Advocating for AI capabilities and communicate value to executive leadership, helping to shape strategic decisions and drive business outcomes
Establishing and maintaining engineering standards, processes, and best practices for model development, deployment, monitoring, and continuous improvement
Ensuring compliance with all relevant data privacy, security, and regulatory requirements in the development and deployment of AI solutions
Tracking and analyzing key performance indicators (KPIs), using data-driven insights to optimize performance, resource allocation, and return on investment
What you'll bring:
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field; Ph.D. preferred
10+ years of experience in software engineering, with at least 5 years focused on AI, machine learning, and advanced analytics
Demonstrated track record of delivering production-grade AI solutions at scale, ideally within a product-driven organization
Proven experience leading and building high-performing engineering teams, including managers and team leads
Deep understanding of modern AI/ML frameworks, architectures, and technologies (e.g., TensorFlow, PyTorch, large language models, generative AI, advanced NLP/NLU techniques)
Strong communication and stakeholder management skills, with the ability to effectively translate technical concepts into business value for senior leadership
Strategic mindset, with a results-oriented approach to innovation and a passion for continuously pushing technical boundaries
Must be fluent in Arabic and English
As a Unifone you’ll receive a range of benefits:
Competitive salary and bonus
Unifonic share scheme (we are all owners!)
30 holiday days after the first anniversary
Your Birthday off!
Spend up to 10 weeks per year working from anywhere in the world!
Paid leave for new parents
LinkedIn learning license
AI Engineering Officer
Posted today
Job Viewed
Job Description
Job Description
- Develop, test, and deploy machine learning models and AI services to support various business initiatives.
- Collaborate with data scientists, software engineers, and business stakeholders to integrate AI solutions into existing systems.
- Optimize AI models for accuracy, scalability, and efficiency.
- Integrate relevant AI SaaS-based services with existing or new products such as generative AI, vector databases and RAG solutions.
- Stay updated with the latest AI research and technologies to recommend innovative solutions.
- Assist in the quality control, deployment and monitoring of AI services in production environments.
- Ensure compliance with data privacy, security, and ethical standards related to AI.
- Document AI assets, workflows, and technical specifications.
- Support AI-related research and development projects.
Job Requirements
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related fields.
- Strong programming skills in Python, R, or similar languages.
- Experience with ML frameworks and AI cloud services such as Vertex AI and others.
- Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with cloud platforms (Azure, AWS, GCP) for AI deployment is preferred.
- Understanding of deep learning, NLP, computer vision, or other AI subfields is a plus.
- Strong analytical, problem-solving, and communication skills.
Consultant | Engineering AI & Data | Engineering | Scrum Master/ PMO - Product Engineering & Deve...
Posted today
Job Viewed
Job Description
Scrum Master/ PMO – Product Engineering | Consultant
About Deloitte
: When you work for us, you commit to a career at one of the largest and most prestigious professional services firms in the world. We have received numerous awards over the last few years, including Best Employer in the Middle East, and Best Consulting Firm, and the Middle East Training & Development Excellence Award.
Our Purpose
Deloitte makes an impact that matters. Every day we challenge ourselves to do what matters most—for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges and unlocking sustainable growth. We inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations and supporting our communities.
Our shared values guide the way we behave to make a positive, enduring impact:
- Lead the way
- Serve with integrity
- Take care of each other
- Foster inclusion
- Collaborate for measurable impact
Overview
We are looking for a versatile Consultant with expertise in Technical PMO, Scrum Master, DevOps, or Business Analysis. The role involves working closely with clients to deliver high-quality solutions using Agile methodologies.
Key Responsibilities
Technical PMO:
- Manage project timelines and resources.
- Coordinate cross-functional teams.
- Maintain project documentation.
- Facilitate project meetings and updates.
Scrum Master
- Lead Agile Scrum teams.
- Facilitate Agile ceremonies.
- Remove impediments and coach team members.
- Foster collaboration.
DevOps
- Implement CI/CD pipelines.
- Automate infrastructure provisioning.
- Monitor system performance.
- Collaborate with development and operations teams.
Business Analysis
- Gather and document requirements.
- Develop user stories and acceptance criteria.
- Analyse and map business processes.
- Liaise between stakeholders and development teams.
Required Skills And Qualifications
- Bachelor's degree in a relevant field.
- Experience in Technical PMO, Scrum Master, DevOps, or Business Analysis.
- Strong understanding of Agile methodologies.
- Excellent client-facing skills.
- Proficiency in capturing requirements and user stories.
- Familiarity with project management and DevOps tools.
- Strong communication and organisational skills.
Preferred Qualifications
- Certified Scrum Master (CSM) or equivalent.
- Jira Administrator certification
- Experience with cloud platforms.
- Knowledge of SDLC and best practices.
- Familiarity with business process modelling tools.
Data Science Manager
Posted today
Job Viewed
Job Description
About Mozn
Mozn is a rapidly growing technology firm revolutionising the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it's working to realise Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted AI technology partner for some of the largest government organisations, as well as many large corporations and startups.
We are in an exciting stage of scaling the company to provide AI-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of AI to create a long-lasting impact.
About The Role
We are seeking a
*Data Science Manager *
to join our team. In this leadership role, you will be responsible for guiding and developing a team of data scientists, driving the full lifecycle of model development, and ensuring delivery of high-quality, client-focused solutions across a range of business domains. You'll work closely with internal teams and external clients, leading initiatives that encompass a broad spectrum of data science applications.
What You'll Do
- Lead and mentor a team of data scientists, overseeing all aspects of model development, evaluation, and deployment.
- Own the data science project lifecycle—from ideation and experimentation to prototyping, productionization, and monitoring—ensuring delivery of impactful client solutions.
- Collaborate with engineering, product teams, and clients to understand requirements, translate business problems into data-driven solutions, and communicate results.
- Contribute to the design and improvement of data and software platforms, emphasizing scalable, reusable, and service-oriented solutions.
- Keep the team up to date with emerging technologies and industry trends in data science, machine learning, and AI, supporting continuous learning and innovation.
- Support business development efforts by engaging in client discussions, understanding client needs, and proposing data science solutions tailored to diverse domains.
- Foster an inclusive, collaborative, and high-performance team culture, focused on excellence and client satisfaction.
- Attract, develop, and retain top data science talent.
Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- 6+ years of relevant experience, with at least 4 years in data science leadership or management roles.
- Proven experience developing and deploying data science solutions in production environments.
- Broad knowledge of machine learning, statistical modeling, and data analysis.
- Proficiency in Python and experience with frameworks such as PyTorch or TensorFlow.
- Experience working with large, real-world datasets (structured and unstructured).
- Familiarity with scalable ML infrastructure, cloud computing, and distributed computing is a plus.
- Strong client-facing communication skills; ability to translate technical concepts for business stakeholders.
- Proficiency in Arabic is preferred.
- Demonstrated ownership, collaboration, and commitment to excellence.
Benefits
*Why Mozn? *
- You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
- 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.
- 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.
- You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
- We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
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Data Science Specialist
Posted today
Job Viewed
Job Description
Company Description
is a Saudi-based company at the forefront of the healthcare technology sector, specializing in advanced artificial intelligence. Our mission is to revolutionize healthcare by transforming standard Hospital Information Systems (HIS) and Electronic Health Records (EHR) into dynamic, intelligent systems. We provide real-time, evidence-based clinical support to align with the healthcare goals of Saudi Arabia's Vision 2030, enhancing patient outcomes and supporting medical professionals.
Role Description
This is a full-time online role for a Data Science Specialist located in Jeddah. The Data Science Specialist will be responsible for analyzing large datasets, developing statistical models, conducting data analysis, and utilizing data science techniques to extract insights. Day-to-day tasks include data analytics, developing data-driven solutions to improve patient outcomes, and collaborating with cross-functional teams to implement AI-driven healthcare solutions.
Qualifications
- Analytical Skills and Data Analysis skills
- Expertise in Data Science and Data Analytics
- Strong Statistics knowledge
- Proficient in programming languages such as Python or R
- Experience with machine learning algorithms and data visualization tools
- Excellent problem-solving and communication skills
- Ability to work collaboratively in a team environment
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field
- Experience in the healthcare industry is a plus
Data Science Manager - Riyadh
Posted 4 days ago
Job Viewed
Job Description
Mozn is a rapidly growing technology firm revolutionising the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it’s working to realise Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted AI technology partner for some of the largest government organisations, as well as many large corporations and startups.
We are in an exciting stage of scaling the company to provide AI-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of AI to create a long-lasting impact.
About the role
We are seeking a Data Science Manager to join our team. In this leadership role, you will be responsible for guiding and developing a team of data scientists, driving the full lifecycle of model development, and ensuring delivery of high-quality, client-focused solutions across a range of business domains. You’ll work closely with internal teams and external clients, leading initiatives that encompass a broad spectrum of data science applications.
What you'll do
- Lead and mentor a team of data scientists, overseeing all aspects of model development, evaluation, and deployment.
- Own the data science project lifecycle—from ideation and experimentation to prototyping, productionization, and monitoring—ensuring delivery of impactful client solutions.
- Collaborate with engineering, product teams, and clients to understand requirements, translate business problems into data-driven solutions, and communicate results.
- Contribute to the design and improvement of data and software platforms, emphasizing scalable, reusable, and service-oriented solutions.
- Keep the team up to date with emerging technologies and industry trends in data science, machine learning, and AI, supporting continuous learning and innovation.
- Support business development efforts by engaging in client discussions, understanding client needs, and proposing data science solutions tailored to diverse domains.
- Foster an inclusive, collaborative, and high-performance team culture, focused on excellence and client satisfaction.
- Attract, develop, and retain top data science talent.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
- 6+ years of relevant experience, with at least 4 years in data science leadership or management roles.
- Proven experience developing and deploying data science solutions in production environments.
- Broad knowledge of machine learning, statistical modeling, and data analysis.
- Proficiency in Python and experience with frameworks such as PyTorch or TensorFlow.
- Experience working with large, real-world datasets (structured and unstructured).
- Familiarity with scalable ML infrastructure, cloud computing, and distributed computing is a plus.
- Strong client-facing communication skills; ability to translate technical concepts for business stakeholders.
- Proficiency in Arabic is preferred.
- Demonstrated ownership, collaboration, and commitment to excellence.
- You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
- 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.
- 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.
- You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
- We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
Data Science Manager - Riyadh
Posted today
Job Viewed
Job Description
Mozn is a rapidly growing technology firm revolutionising the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it’s working to realise Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted AI technology partner for some of the largest government organisations, as well as many large corporations and startups.
We are in an exciting stage of scaling the company to provide AI-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of AI to create a long-lasting impact.
About the role
We are seeking a Data Science Manager to join our team. In this leadership role, you will be responsible for guiding and developing a team of data scientists, driving the full lifecycle of model development, and ensuring delivery of high-quality, client-focused solutions across a range of business domains. You’ll work closely with internal teams and external clients, leading initiatives that encompass a broad spectrum of data science applications.
What you'll do
- Lead and mentor a team of data scientists, overseeing all aspects of model development, evaluation, and deployment.
- Own the data science project lifecycle—from ideation and experimentation to prototyping, productionization, and monitoring—ensuring delivery of impactful client solutions.
- Collaborate with engineering, product teams, and clients to understand requirements, translate business problems into data-driven solutions, and communicate results.
- Contribute to the design and improvement of data and software platforms, emphasizing scalable, reusable, and service-oriented solutions.
- Keep the team up to date with emerging technologies and industry trends in data science, machine learning, and AI, supporting continuous learning and innovation.
- Support business development efforts by engaging in client discussions, understanding client needs, and proposing data science solutions tailored to diverse domains.
- Foster an inclusive, collaborative, and high-performance team culture, focused on excellence and client satisfaction.
- Attract, develop, and retain top data science talent.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
- 6+ years of relevant experience, with at least 4 years in data science leadership or management roles.
- Proven experience developing and deploying data science solutions in production environments.
- Broad knowledge of machine learning, statistical modeling, and data analysis.
- Proficiency in Python and experience with frameworks such as PyTorch or TensorFlow.
- Experience working with large, real-world datasets (structured and unstructured).
- Familiarity with scalable ML infrastructure, cloud computing, and distributed computing is a plus.
- Strong client-facing communication skills; ability to translate technical concepts for business stakeholders.
- Proficiency in Arabic is preferred.
- Demonstrated ownership, collaboration, and commitment to excellence.
- You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
- 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.
- 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.
- You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
- We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.