176 Ml Engineering jobs in Saudi Arabia

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.

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.

Who Are We

HALA is a leading fintech player in the MENAP region that aims to redefine financial services and build the future bank of SMEs. HALA aims at empowering SMEs to start, run, and grow their businesses by providing them with cutting-edge financial and technological tools.

HALA currently holds multiple entities in UAE, Saudi Arabia and Egypt (including HALA Payments, HALA Cashier and HALA Logistics) and offers solutions that enable merchants to digitize their payments as well as manage their sales and operations.

Founded in 2017, HALA is currently duly licensed by the Saudi Arabian Central Bank as well as the Financials Services Regulatory Authority (FSRA) in Abu Dhabi Global Market.

About the Role

We're hiring a Data Scientist with 1-2 years of experience to help shape the future of AI and ML at HALA. You'll be working closely with leadership to define the roadmap, uncover high-impact use cases, and develop models that drive real business value.

This role is ideal for someone who enjoys the challenge of building from the ground up—bringing structure, experimentation, and vision to a space full of potential.

What You'll Do

• Support and Contribute to the ML Roadmap
  : Identify and prioritize AI/ML opportunities across key areas such as credit risk, fraud detection, customer acquisition, and churn prevention
• Prototype & Scale
  : Propose, design, build, and deploy ML models that brings value to HALA, starting with rapid prototyping and scaling up based on impact
• Cross-Functional Collaboration
  : Work hand-in-hand with teams across the company to deeply understand their challenges and co-create solutions that leverage data

What You Bring

• Strong Python and SQL skills, and experience with ML libraries like scikit-learn, XGBoost, LightGBM, or similar
• A strategic mindset: you're comfortable identifying business opportunities, prioritizing impact, and navigating ambiguity
• Clear communication and storytelling skills. You can turn data into action and rally teams around your ideas
• Experience (or interest) in working on use cases like credit scoring, fraud detection, or customer lifecycle modeling is a big plus
• Willingness to keep an open mind and learn on the job

Why Join Us?

You'll be joining a leading FinTech that's growing quickly—and we believe data will play a critical role in that growth. As an early member of the data science team, you'll have the autonomy to explore, the support to execute, and the opportunity to shape how machine learning creates value across the organization.

What We Offer You
We believe you will love working at HALA

• We have an inclusive and diverse culture that encourages innovation and flexibility in remote, in-office, and hybrid work setups.
• We offer highly competitive compensation packages, including the potential for shares.
• We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment.
• Join a talented team of over 30 nationalities working in 7 countries and gain valuable experience in an exciting industry.
• We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company.
• 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.

If you think you have what it takes to join a remarkable team #apply_now

*Job Overview:
We are seeking an experienced
AI Engineer *
to design and implement advanced AI and machine learning solutions that enhance banking operations, customer experience, risk analysis, and process automation. The ideal candidate will have a strong background in applied machine learning, data science, and AI systems architecture.

*Key Responsibilities: *

• Design, develop, and deploy machine learning and AI models tailored to banking and financial services use cases (e.g., fraud detection, credit scoring, customer insights).
• Perform data preprocessing, feature engineering, and exploratory data analysis.
• Work with structured and unstructured data from various sources.
• Collaborate with business units and data engineering teams to define model requirements and deployment strategies.
• Continuously evaluate and improve AI models based on performance metrics.
• Ensure compliance with data privacy, security, and regulatory standards.
• Document processes, experiments, and model outcomes clearly for technical and non-technical stakeholders

Requirements
*Required Qualifications: *

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• 5-7 years of experience in AI/ML development and deployment.
• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, Keras.
• Experience with NLP, Computer Vision, or Predictive Analytics in real-world projects.
• Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker).
• Strong understanding of data pipelines, model lifecycle management, and model versioning.
• Experience working with cloud platforms such as AWS, Azure, or GCP

Role Purpose

To lead a team of data scientists within the Analytics Department in order to develop advanced machine learning models, deliver actionable insights through corporate reporting, and oversee the creation of predictive models, advanced analytics, and data visualizations within the set KPIs, agreed budgets, and adopted policies and procedures.

Responsibilities for Internal Candidates

Key Accountability Areas

Key Activities

Operational Management

• Lead, mentor, and develop a team of data scientists
• Actively participate in on-the-job training, mentoring and coaching of subordinates
• Provide clear direction, prioritize tasks, assign and delegate responsibility and monitor the workflow
• Promote a high-performance working environment embracing SANS's values
• Conduct regular performance reviews and provide coaching to team members
• Identify skill gaps and organize training programs to enhance team capabilities
• Provide recurring productivity reports on department progress and projects pipeline.
• Recruit, onboard, and retain top talent for the data science section

Budget Management

• Develop and manage budget and supporting business cases for the data science and reporting section including ML operations infrastructure.
• Justify budget requests to senior leadership by demonstrating the ROI of data science and analytics initiatives.
• Develop and negotiate contracts with tooling, infrastructure and service providers to optimize costs and service quality

Stakeholder and C-Suite Communication

• Generate and present regular operational and corporate performance insights and reports to senior leadership.
• Translate complex technical findings into actionable insights and strategic recommendations for non-technical audiences.
• Facilitate collaboration with IT and engineering stakeholders to ensure data science infrastructure needs are realized
• Build strong relationships with cross-functional teams to ensure alignment and collaboration on data-driven initiatives.
• Educate stakeholders on data science best practices.

Data science and ML products management

• Conducting discovery meetings to collect, analyze, clarify and document business requirements for data science and corporate reporting.
• Establish and monitor value metrics encompassing the full cycle of envisaged and developed data science products
• Continuously identify opportunities for data science products where value can be added to the business domain.
• Ensure that machine learning models and analytics solutions are scalable, reliable, and aligned with business needs.
• Manage advanced analytics workload including A/B and multivariate experiments, design and implement exploratory analysis and insight generation, all in close collaboration with partners across the Data management directorate and business groups.
• Collaborate with engineering and IT teams to integrate data science products into existing systems and workflows.
• Oversee the analysis of corporate and operational workstreams to provide periodic descriptive reporting and on-demand Diagnosis on key observed patterns for decision making purposes.
• lead the development efforts for provision of descriptive, predictive and diagnostic analysis for relevant constituencies.
• Develop strategy and roadmap for data science products while ensuring that defined path is consistent with the enterprise vision.
• Lead iterative data science products development process from idealization, through the implementation stage and all the way to the launch.
• Develop plans for ML models features/services delivery defining business goals, timelines, and roadmaps.
• Partner with business functions leads to proactively explore and overcome business problems through quantitative analytics levering established data science solutions.
• Support corporate planning and strategy functions in researching and analyzing industry operational and data related trends and developing market diligence periodically through quantitative reports and aggregation of relevant data from premium online/offline sources.
• Oversee the team's execution of key technical activities including: Data exploration and pre-processing, statistical analysis and modeling, features engineering, models evaluation, data visualization and communication, and collaborative problem solving

Engineering management

• Participate in planning and executing workload related to deploying and expanding ML models hosting platforms at the back-end and front-end service layers
• Lead the deployment and configuration of developed data science solutions.
• Oversee the ML models development workload cadence includes establishment of and sustenance of devOPS and CICD practices and cadence, while ensuring engineering standards, including version control, code reviews, and testing protocols are maintained
• Develop, manage, and maintain engineering plans related to data science workload; work closely with enterprise and operations engineering teams.
• Implement agile methodologies and project management frameworks to streamline team operations and improve delivery timelines.
• Manage technical debt by prioritizing refactoring, documentation, and process improvements.

Policies, Processes and Procedures

• Support in monitoring day-to-day activities to ensure compliance with stipulated policies and procedures
• Contribute to the identification of opportunities for continuous improvement of systems and processes taking into account leading practices, changes in business environment, cost reduction and productivity improvement

People Management

• Actively participate in on-the-job training, mentoring and coaching of subordinates
• Provide clear direction, prioritize tasks, assign and delegate responsibility and monitor the workflow
• Promote a high-performance working environment embracing SANS's values

Qualifications for Internal Candidates

Knowledge and Experience

• Minimum 6 years of experience in Data Science & Reporting, preferably leading and managing teams of data scientists and data analysts and budget management, resource allocation, and vendor negotiations.

Desirable:

• Referenced hands-on experience: team lead or unit manager/supervisor managing the operations and services of a data science team in a technology or engineering organization.
• Math / Quantitative skills: Skills with creating simulations, Erlangs theory for capacity planning, Hypothesis testing, Linear Regression, Logistic Regression, Outliers Detection, Linear Algebra with knowledge of Matrices attributes, knowledge and application of GLM (Generalized Linear Model)
• Strong scripting skills (e.g., Python, Bash) and knowledge of coding for creating automation scripts and integrating tools , and SQL/SPARK, JAVA/SCALA, Hadoop stack, C/C + for scripting/development on distributed/unstructured systems, and big data technologies such as Spark for handling and processing large datasets , and Python or PyTorch, Tensorflow, KERAS, Scikit-learn, XGBoost or similar stack for data manipulation, analysis, and data science modelling implementation.
• Familiarity or Ability to work with task management tools (JIRA, Microsoft Azure DevOPS boards), and Microsoft power platform , and hands on experience with popular SaaS services for database, developer and analytics (GCP, AWS or Azure)

Education and Certifications

• Bachelor's Degree in Computer Engineering, Data Science, Computer science, Cybersecurity, Statistics, Engineering or equivalent is required.

We are seeking a visionary
Director of Artificial Intelligence
to lead the development and implementation of an ambitious AI strategy for one of the most innovative large-scale immersive projects in the region. This is a rare opportunity to shape how AI transforms experiences, environments, and human interaction at scale.

Role Overview

As Director of Artificial Intelligence, you will define and execute the AI strategy across immersive platforms, installations, and engagement layers. You will work at the intersection of cutting-edge technology, creativity, and large-scale delivery, partnering with internal teams and global leaders in AI, immersive technologies, and content development.

This role requires a forward-thinking, hands-on leader who can bridge strategy and execution - ensuring AI initiatives are aligned with business goals while pushing the boundaries of possibility.

Key Responsibilities

• Develop and lead a comprehensive AI strategy to enable immersive, interactive, and personalized experiences.
• Identify and prioritize AI-driven use cases across content generation, real-time interactivity, spatial computing, and audience personalization.
• Oversee AI infrastructure deployment, covering generative media, real-time rendering, NLP, and computer vision.
• Collaborate with creative, technical, and production teams to integrate AI solutions that enhance storytelling and audience engagement.
• Build and manage partnerships with AI vendors, research institutions, content studios, and regulators.
• Ensure compliance with ethical AI principles, data privacy laws, and cultural sensitivities.
• Stay ahead of emerging technologies and drive adoption of new innovations across the project.

Background & Experience

• 7+ years of leadership experience in AI, with proven success in delivering solutions for creative, immersive, or experience-driven environments.
• Strong expertise in AI infrastructure, model lifecycle management, and deployment across cloud/edge environments.
• Demonstrated ability to lead cross-functional teams spanning R&D, creative, and technical domains.
• Experience collaborating with creative studios, technology vendors, and research institutions.
• Excellent communication and stakeholder management skills, with the ability to translate technical concepts into business value.
• Familiarity with compliance standards around ethical AI, data privacy, and content safety.

Preferred Experience Includes:

• Hands-on work in immersive or interactive settings such as theme parks, large-scale exhibitions, or gaming/XR platforms.
• Knowledge of real-time engines (Unreal, Unity) and integration of AI for live systems or dynamic environments.
• Experience with sensory systems (vision, audio, biometrics) to enhance AI responsiveness.
• Background in establishing or managing AI R&D/prototyping labs.

Why Apply?

This role offers the chance to be at the forefront of AI-driven innovation in immersive experiences, working on one of the world's most ambitious cultural and entertainment developments. You will influence strategy at the highest level while being directly involved in hands-on execution and delivery.

Job Posting: AI Engineer

Job Objective

We are seeking a creative AI Engineer with strong technical and practical expertise to develop advanced intelligent solutions that enhance operational efficiency, improve customer satisfaction, and support data-driven decision-making through forecasting and advanced analytics.

Key Responsibilities

• Develop advanced artificial intelligence and machine learning models to accurately forecast project delays and estimate job durations.
• Design and implement sophisticated scheduling and route optimization solutions leveraging Google OR-Tools.
• Detect and resolve scheduling conflicts, including overlaps and idle periods, through automated methodologies.
• Improve customer engagement by deploying NLP-powered chatbots integrated with WhatsApp and other communication channels.
• Integrate AI-driven systems with Zoho FSM, CRM, and Books utilizing APIs.
• Conduct thorough analyses of operational and customer data to generate actionable insights.

Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, or a related field.
• 3–5 years of professional experience in AI/ML development.
• Proficient in Python and experienced with relevant ML/NLP frameworks (TensorFlow, PyTorch, Scikit-learn, spaCy).
• Experience with Google OR-Tools or similar platforms for optimization and scheduling solutions.
• Skilled in database technologies such as PostgreSQL and SQL Server.
• Experienced in REST API integration; familiarity with Zoho platforms is advantageous.
• Practical experience in delivering chatbot and NLP projects is preferred.

Soft Skills

• Exceptional analytical and problem-solving abilities.
• Strong team player, effective in cross-functional collaboration.
• Excellent communication skills with both technical and non-technical stakeholders.
• High attention to detail, quick learner, and consistently delivers on time.

Think you're the right fit?

Join us and be part of an innovative team building cutting-edge AI solutions that make a real impact.

Job Summary:

The Artificial Intelligence (AI) Consultant is responsible for analyzing business needs and delivering AI-based solutions to enhance decision-making, operational efficiency, and innovation. The role involves designing and deploying machine learning models, working with large datasets, and providing both technical and strategic guidance, particularly in government or enterprise environments.

Key Responsibilities:

• Analyze business and technical requirements to identify opportunities for AI-driven solutions.
• Develop and deploy machine learning and deep learning models using tools such as Python, TensorFlow, and Scikit-learn.
• Provide technical and strategic consultation to clients on the adoption and integration of AI technologies.
• Collaborate with data engineers and software teams to ensure smooth integration of AI models into existing systems.
• Evaluate, monitor, and continuously improve the performance of AI models.
• Prepare reports and presentations for stakeholders, summarizing project progress, results, and recommendations.

Qualifications & Skills:

• Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field.
• Minimum of 5 years of hands-on experience in AI, machine learning, or data science projects.
• Proficiency in programming languages such as Python or R, with strong knowledge of AI/ML libraries.
• Experience with big data tools and database systems.
• Excellent communication and presentation skills to work across multidisciplinary teams.
• Prior experience working on government or strategic sector projects is a plus.

Company Description

FSIME is a 3M Master Contractor with FM 4991 certification, operating in the Middle East. With over 50 years of operational experience in fire and life safety, FSIME offers expertise in specialist contracting needs including passive firestopping, fireproofing, expansion joint solutions, thermal insulation, and Acrovyn. As the largest distributor of 3M firestop materials, FSIME provides commercial and technical support. FSIME ensures cost-effective solutions through excellent knowledge, extensive experience, and a commitment to customer safety and satisfaction.

Role Description

This is a full-time on-site role for an Artificial Intelligence Intern located in Jeddah. The AI Intern will be responsible for developing and implementing AI models to address various business challenges, conducting data analysis, and working with the team to integrate AI solutions into existing systems. Daily tasks include data collection, data preprocessing, model training, and performance evaluation, as well as collaborating with cross-functional teams to identify and solve business problems using AI.

Qualifications

• Strong knowledge in Computer Science and Programming
• Proficiency in Data Science and Machine Learning
• Excellent Analytical Skills and problem-solving abilities
• Effective communication skills, both written and verbal
• Ability to work independently and collaboratively in a team environment
• Relevant experience or coursework in AI/ML methodologies and tools
• Enthusiasm for learning and applying new technologies to real-world problems