700 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 Officer
Posted 1 day ago
Job Viewed
Job Description
Overview
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.
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 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.
- 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.
AI Engineering Manager
Posted 10 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!
The AI Engineering Manager will play a pivotal role in shaping and executing our AI initiatives by bridging technical leadership with strong people management
Meet the team!
Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic’s solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.
As an AI Engineering Manager, you will be responsible for managing and developing a team of highly skilled AI engineers while also remaining hands-on in the technical work. This dual focus ensures that you will guide your team to deliver high-quality AI solutions while actively contributing to architectural decisions, code reviews, performance optimizations, and proof-of-concept developments. You will foster a culture of continuous learning, technical excellence, and collaboration, ensuring that both technology and talent thrive under your leadership.
Help us shape the future of communication by:
Serving as the technical authority on AI model design, architecture, and integration within the product ecosystem.
Leading the evaluation, selection, and implementation of AI/ML frameworks, tools, and best practices, ensuring scalability, robustness, and maintainability.
Participatingin hands-on coding, solution prototyping, and code reviews to maintain high quality standards and guide the team through complex technical challenges.
Overseeing and refining theAI development lifecycle, including model training, validation, deployment, and ongoing improvement.
Leading a team of AI engineers, providing mentorship, regular feedback, and career development support.
Defining clear performance expectations, conduct performance reviews, and identify growth opportunities for team members.
Fostering a positive, inclusive, and high-performance team culture that encourages innovation, continuous learning, and collaboration
Collaborating with recruitment and HR to identify, attract, and retain top AI engineering talent, ensuring the team’s ongoing growth and success
Leading a team of AI engineers, providing mentorship, regular feedback, and career development support
Defining clear performance expectations, conduct performance reviews, and identify growth opportunities for team members
Fostering a positive, inclusive, and high-performance team culture that encourages innovation, continuous learning, and collaboration
Collaborating with recruitment and HR to identify, attract, and retain top AI engineering talent, ensuring the team’s ongoing growth and success
Working closely with the Director of AI Development, Product Managers, Designers, Data Scientists, and other Engineering leaders to translate business requirements into technical roadmaps and actionable engineering plans
Ensuring seamless integration of AI capabilities into existing and future products, partnering with platform, infrastructure, and DevOps teams to optimize deployment and operations
Communicating technical topics effectively to non-technical stakeholders, making recommendations and reporting progress, risks, and opportunities
Implementing and continuously improving the development processes, standards, and tools that drive efficiency, reliability, and scalability.
Ensuring adherence to best practices in model governance, performance monitoring, and compliance with relevant data privacy and security regulations
Monitoring engineering metrics and KPIs, leveraging data-driven insights to improve development velocity, code quality, and team efficiency
What you’ll bring:
Bachelor’s or master’s degree in computer science, Engineering, or a related field.
8+ years of software development experience with at least 3 years focused on AI/ML engineering and related technologies.
Proven track record of leading, mentoring, or managing engineering teams, preferably in high-growth or innovative tech environments.
Hands-on experience with a range of AI/ML frameworks (e.g., TensorFlow, PyTorch), advanced modeling techniques (NLP, CV, recommendation systems), and production-grade model deployments.
Proficiency in Python, cloud platforms (e.g., OCI, AWS, GCP), CI/CD workflows, and modern software engineering practices.
Excellent communication and interpersonal skills, with the ability to motivate teams and build productive cross-functional relationships.
A strategic and solution-oriented mindset, capable of balancing technical depth with big-picture thinking.
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 25 days per year working from anywhere in the world!
Paid leave for new parents
LinkedIn learning license
AI Engineering Officer
Posted 14 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 Manager
Posted 15 days ago
Job Viewed
Job Description
Overview
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!
The AI Engineering Manager will play a pivotal role in shaping and executing our AI initiatives by bridging technical leadership with strong people management.
Meet the team!
Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic’s solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.
ResponsibilitiesAs an AI Engineering Manager, you will be responsible for managing and developing a team of highly skilled AI engineers while remaining hands-on in the technical work. This dual focus ensures you guide your team to deliver high-quality AI solutions while actively contributing to architectural decisions, code reviews, performance optimizations, and proof-of-concept developments. You will foster a culture of continuous learning, technical excellence, and collaboration, ensuring that both technology and talent thrive under your leadership.
Serving as the technical authority on AI model design, architecture, and integration within the product ecosystem.
Leading the evaluation, selection, and implementation of AI/ML frameworks, tools, and best practices, ensuring scalability, robustness, and maintainability.
Participating in hands-on coding, solution prototyping, and code reviews to maintain high quality standards and guide the team through complex technical challenges.
Overseeing and refining the AI development lifecycle, including model training, validation, deployment, and ongoing improvement.
Leading a team of AI engineers, providing mentorship, regular feedback, and career development support.
Defining clear performance expectations, conducting performance reviews, and identifying growth opportunities for team members.
Fostering a positive, inclusive, and high-performance team culture that encourages innovation, continuous learning, and collaboration.
Collaborating with recruitment and HR to identify, attract, and retain top AI engineering talent, ensuring the team’s ongoing growth and success.
Working closely with the Director of AI Development, Product Managers, Designers, Data Scientists, and other Engineering leaders to translate business requirements into technical roadmaps and actionable engineering plans.
Ensuring seamless integration of AI capabilities into existing and future products, partnering with platform, infrastructure, and DevOps teams to optimize deployment and operations.
Communicating technical topics effectively to non-technical stakeholders, making recommendations and reporting progress, risks, and opportunities.
Implementing and continuously improving the development processes, standards, and tools that drive efficiency, reliability, and scalability.
Ensuring adherence to best practices in model governance, performance monitoring, and compliance with relevant data privacy and security regulations.
Monitoring engineering metrics and KPIs, leveraging data-driven insights to improve development velocity, code quality, and team efficiency.
Bachelor’s or master’s degree in computer science, Engineering, or a related field.
8+ years of software development experience with at least 3 years focused on AI/ML engineering and related technologies.
Proven track record of leading, mentoring, or managing engineering teams, preferably in high-growth or innovative tech environments.
Hands-on experience with a range of AI/ML frameworks (e.g., TensorFlow, PyTorch), advanced modeling techniques (NLP, CV, recommendation systems), and production-grade model deployments.
Proficiency in Python, cloud platforms (e.g., OCI, AWS, GCP), CI/CD workflows, and modern software engineering practices.
Excellent communication and interpersonal skills, with the ability to motivate teams and build productive cross-functional relationships.
A strategic and solution-oriented mindset, capable of balancing technical depth with big-picture thinking.
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 25 days per year working from anywhere in the world!
Paid leave for new parents
LinkedIn learning license
AI Engineering Manager
Posted today
Job Viewed
Job Description
Overview
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!
The AI Engineering Manager will play a pivotal role in shaping and executing our AI initiatives by bridging technical leadership with strong people management.
Meet the team!
Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic’s solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.
ResponsibilitiesAs an AI Engineering Manager, you will be responsible for managing and developing a team of highly skilled AI engineers while remaining hands-on in the technical work. This dual focus ensures you guide your team to deliver high-quality AI solutions while actively contributing to architectural decisions, code reviews, performance optimizations, and proof-of-concept developments. You will foster a culture of continuous learning, technical excellence, and collaboration, ensuring that both technology and talent thrive under your leadership.
Serving as the technical authority on AI model design, architecture, and integration within the product ecosystem.
Leading the evaluation, selection, and implementation of AI/ML frameworks, tools, and best practices, ensuring scalability, robustness, and maintainability.
Participating in hands-on coding, solution prototyping, and code reviews to maintain high quality standards and guide the team through complex technical challenges.
Overseeing and refining the AI development lifecycle, including model training, validation, deployment, and ongoing improvement.
Leading a team of AI engineers, providing mentorship, regular feedback, and career development support.
Defining clear performance expectations, conducting performance reviews, and identifying growth opportunities for team members.
Fostering a positive, inclusive, and high-performance team culture that encourages innovation, continuous learning, and collaboration.
Collaborating with recruitment and HR to identify, attract, and retain top AI engineering talent, ensuring the team’s ongoing growth and success.
Working closely with the Director of AI Development, Product Managers, Designers, Data Scientists, and other Engineering leaders to translate business requirements into technical roadmaps and actionable engineering plans.
Ensuring seamless integration of AI capabilities into existing and future products, partnering with platform, infrastructure, and DevOps teams to optimize deployment and operations.
Communicating technical topics effectively to non-technical stakeholders, making recommendations and reporting progress, risks, and opportunities.
Implementing and continuously improving the development processes, standards, and tools that drive efficiency, reliability, and scalability.
Ensuring adherence to best practices in model governance, performance monitoring, and compliance with relevant data privacy and security regulations.
Monitoring engineering metrics and KPIs, leveraging data-driven insights to improve development velocity, code quality, and team efficiency.
Bachelor’s or master’s degree in computer science, Engineering, or a related field.
8+ years of software development experience with at least 3 years focused on AI/ML engineering and related technologies.
Proven track record of leading, mentoring, or managing engineering teams, preferably in high-growth or innovative tech environments.
Hands-on experience with a range of AI/ML frameworks (e.g., TensorFlow, PyTorch), advanced modeling techniques (NLP, CV, recommendation systems), and production-grade model deployments.
Proficiency in Python, cloud platforms (e.g., OCI, AWS, GCP), CI/CD workflows, and modern software engineering practices.
Excellent communication and interpersonal skills, with the ability to motivate teams and build productive cross-functional relationships.
A strategic and solution-oriented mindset, capable of balancing technical depth with big-picture thinking.
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 25 days per year working from anywhere in the world!
Paid leave for new parents
LinkedIn learning license
AI Engineering Manager
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!
The AI Engineering Manager will play a pivotal role in shaping and executing our AI initiatives by bridging technical leadership with strong people management
Meet the team!
Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic’s solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.
As an AI Engineering Manager, you will be responsible for managing and developing a team of highly skilled AI engineers while also remaining hands-on in the technical work. This dual focus ensures that you will guide your team to deliver high-quality AI solutions while actively contributing to architectural decisions, code reviews, performance optimizations, and proof-of-concept developments. You will foster a culture of continuous learning, technical excellence, and collaboration, ensuring that both technology and talent thrive under your leadership.
Help us shape the future of communication by:
Serving as the technical authority on AI model design, architecture, and integration within the product ecosystem.
Leading the evaluation, selection, and implementation of AI/ML frameworks, tools, and best practices, ensuring scalability, robustness, and maintainability.
Participatingin hands-on coding, solution prototyping, and code reviews to maintain high quality standards and guide the team through complex technical challenges.
Overseeing and refining theAI development lifecycle, including model training, validation, deployment, and ongoing improvement.
Leading a team of AI engineers, providing mentorship, regular feedback, and career development support.
Defining clear performance expectations, conduct performance reviews, and identify growth opportunities for team members.
Fostering a positive, inclusive, and high-performance team culture that encourages innovation, continuous learning, and collaboration
Collaborating with recruitment and HR to identify, attract, and retain top AI engineering talent, ensuring the team’s ongoing growth and success
Leading a team of AI engineers, providing mentorship, regular feedback, and career development support
Defining clear performance expectations, conduct performance reviews, and identify growth opportunities for team members
Fostering a positive, inclusive, and high-performance team culture that encourages innovation, continuous learning, and collaboration
Collaborating with recruitment and HR to identify, attract, and retain top AI engineering talent, ensuring the team’s ongoing growth and success
Working closely with the Director of AI Development, Product Managers, Designers, Data Scientists, and other Engineering leaders to translate business requirements into technical roadmaps and actionable engineering plans
Ensuring seamless integration of AI capabilities into existing and future products, partnering with platform, infrastructure, and DevOps teams to optimize deployment and operations
Communicating technical topics effectively to non-technical stakeholders, making recommendations and reporting progress, risks, and opportunities
Implementing and continuously improving the development processes, standards, and tools that drive efficiency, reliability, and scalability.
Ensuring adherence to best practices in model governance, performance monitoring, and compliance with relevant data privacy and security regulations
Monitoring engineering metrics and KPIs, leveraging data-driven insights to improve development velocity, code quality, and team efficiency
What you’ll bring:
Bachelor’s or master’s degree in computer science, Engineering, or a related field.
8+ years of software development experience with at least 3 years focused on AI/ML engineering and related technologies.
Proven track record of leading, mentoring, or managing engineering teams, preferably in high-growth or innovative tech environments.
Hands-on experience with a range of AI/ML frameworks (e.g., TensorFlow, PyTorch), advanced modeling techniques (NLP, CV, recommendation systems), and production-grade model deployments.
Proficiency in Python, cloud platforms (e.g., OCI, AWS, GCP), CI/CD workflows, and modern software engineering practices.
Excellent communication and interpersonal skills, with the ability to motivate teams and build productive cross-functional relationships.
A strategic and solution-oriented mindset, capable of balancing technical depth with big-picture thinking.
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 25 days per year working from anywhere in the world!
Paid leave for new parents
LinkedIn learning license
Be The First To Know
About the latest Ai engineering Jobs in Saudi Arabia !
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.