298 Machine Learning Engineer jobs in Saudi Arabia

As a Senior Machine Learning Engineer specializing, you will lead the development and implementation of machine learning algorithms and models to enhance our mapping and location-based services. You will be responsible for leveraging machine learning techniques to extract insights, automate processes, and improve the accuracy and relevance of our map data.

Key Responsibilities:

1. Algorithm Development: Lead the design, development, and optimization of machine learning algorithms and models for various mapping applications, including data analysis, feature extraction, image processing, and predictive modeling.
2. Data Processing and Analysis: Collaborate with data engineers to preprocess, clean, and analyze map data, including satellite imagery, LiDAR data, and point cloud data, to extract relevant features and patterns.
3. Model Training and Evaluation: Train, validate, and evaluate machine learning models using large-scale datasets to achieve high accuracy, robustness, and scalability for mapping applications, such as road detection, object recognition, and semantic segmentation.
4. Integration and Deployment: Integrate machine learning models into existing mapping systems and workflows, ensuring seamless deployment and interoperability with other software components. Collaborate with software engineers to develop APIs and interfaces for model integration.
5. Performance Optimization: Optimize machine learning algorithms and models for performance, efficiency, and scalability, including algorithm parallelization, hardware acceleration, and deployment on cloud platforms.
6. Research and Innovation: Stay updated on the latest advancements in machine learning, computer vision, and geospatial technologies, and apply innovative techniques to solve mapping-related challenges and drive continuous improvement.

Qualifications:

• Master's or Ph.D. degree in computer science, machine learning, artificial intelligence, or a related field.
• 5 years of experience in machine learning research and development, with a focus on computer vision, geospatial analysis, or mapping applications.
• Proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, and OpenCV.
• Strong programming skills in Python, C++, or another relevant language, with experience in software development and version control systems.
• Experience with geospatial data processing and analysis tools, such as GDAL, PostGIS, and QGIS.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Effective communication and leadership skills, with experience mentoring junior team members and collaborating with cross-functional teams.

Overview

We are seeking a highly skilled professional to lead the development and operation of our AI & Emerging Technology Academy. The ideal candidate will bring a strong blend of consulting expertise and training program development experience, enabling them to design, deliver, and scale impactful learning initiatives that build cutting-edge capabilities in AI, data science, and emerging technologies.

• Develop and execute the strategic roadmap for the AI & Emerging Technology Academy.
• Design and implement world-class training programs, workshops, and certifications in AI, data science, IoT, blockchain, and related domains.
• Provide expert consulting to internal and external stakeholders on AI adoption, emerging tech trends, and capability building.
• Build partnerships with academic institutions, technology providers, and industry experts to enhance program offerings.
• Oversee curriculum development, instructional design, and quality assurance of training content.
• Measure learning impact and continuously improve program effectiveness.
• Manage budgets, resources, and faculty/trainer engagements.

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field; PhD preferred.
• 8+ years of experience in technology consulting, innovation, or capability building.
• Proven track record in designing and delivering training programs in emerging technologies.
• Strong knowledge of AI/ML frameworks, data analytics, and digital transformation trends.
• Excellent communication, stakeholder management, and leadership skills.
• Experience working with government or large enterprise training initiatives is a plus.

• Strategic thinker with execution focus.
• Passion for education, innovation, and technology enablement.
• Ability to translate complex technical concepts into practical learning experiences.

• Mid-Senior level

• Full-time

• Engineering, Information Technology, and Finance

• Software Development
• Financial Services
• Banking

Aramco energizes the world economy.

Aramco occupies a unique position in the global energy industry. We are the world’s largest producer of hydrocarbons (oil and gas), with the lowest upstream carbon intensity of any major producer.

With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society.

Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.

We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.

We are seeking an Artificial Intelligence Specialist (AIS) to join the Gas Operations Technical Support Division.

The Gas Operation Technical Support Division is responsible for providing Artificial Intelligence (AI)-powered solutions to all Gas Plants. The objective is to leverage AI technological advancements to support data-driven decisions in Safety, Environment, Energy, Efficiency, and value creation.

The primary role of the Artificial Intelligence Specialist is to work closely with the Gas Business Line and other corporate entities to manage AI business cases starting from challenges/opportunities identification, solution scouting, formulating, scoping, funding, PoC, deployment, evaluation, and value tracking.

The successful candidate will be required to perform the following:

• Lead a multidisciplinary team to oversee and monitor Gas AI business cases starting from challenges/opportunities identification, solution scouting, formulating, scoping, funding, PoC, deployment, evaluation, and value tracking.
• Collaborate with internal/external entities and with 3rd parties to drive AI implementation advancement in Gas.
• Prioritize AI business cases and oversee the quality of all deliverable packages required to secure funds.
• Develop a roadmap to scale up AI solutions across the Business Line.
• Facilitate and monitor AI solutions development and execution phases with all stakeholders.
• Develop Generative AI cases for Safety, Environment, Operations, and Maintenance.
• Apply statistical analysis methods to test hypotheses and validate results based on the project or use-case.
• Build and train machine learning models to solve specific problems and optimize models for performance and accuracy such as anomaly detection algorithms or predictive models.
• Assess, identify, and mitigate key risks associated with cybersecurity and ensure that data practices adhere to the company’s regulations and data privacy standards.
• Act as the Gas AI focal point of contact and coordinator with all other entities.

• The candidate must hold a Bachelor’s degree in Engineering, Computer Science, Data Science and Analytics, Machine Learning, or AI, or in a related field from an accredited university. An advanced degree in an engineering discipline with a focus on machine learning, artificial intelligence, applied statistics, or operations research is desirable.
• 10 years of experience in building data analytics-based products or machine learning models.
• Able to program in different languages such as Python and has experience with statistics and data cleaning libraries and methodologies, in addition to visualization tools such as Power BI or Tableau.
• Strong knowledge in regression and classification, association rules & clustering, big data, databases & SQL, textual analysis (NLP), neural networks, and advanced visualization. Understanding of statistical and predictive and optimization algorithms is required.
• Analytical and problem-solving skills to derive insights and opportunities from data.
• Basic project management skills to plan, execute, and deliver data science projects.
• Past experience in leading AI solution deployment projects for Oil and Gas is preferable.
• Knowledge of plant automation systems, standard real-time interfaces such as OPC, and process historians such as PI is desirable.

Working environment

Our high-performing employees are drawn by the challenging and rewarding professional, technical, and industrial opportunities we offer, and are remunerated accordingly.

At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical, and environmental challenges, we invest heavily in talent development.

We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.

Job ID: 15053

Tagged as: Gas Ventures Dept

Aramco energizes the world economy.

Aramco occupies a unique position in the global energy industry. We are the world's largest producer of hydrocarbons (oil and gas), with the lowest upstream carbon intensity of any major producer.

With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco's value to society.

Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations' spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom's vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.

We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.

We are seeking an Artificial Intelligence Specialist (AIS) to join the Gas Operations Technical Support Division.

The Gas Operation Technical Support Division is responsible for providing Artificial Intelligence (AI)-powered solutions to all Gas Plants. The objective is to leverage AI technological advancements to support data-driven decisions in Safety, Environment, Energy, Efficiency, and value creation.

The primary role of the Artificial Intelligence Specialist is to work closely with the Gas Business Line and other corporate entities to manage AI business cases starting from challenges/opportunities identification, solution scouting, formulating, scoping, funding, PoC, deployment, evaluation, and value tracking.

The successful candidate will be required to perform the following:

• Lead a multidisciplinary team to oversee and monitor Gas AI business cases starting from challenges/opportunities identification, solution scouting, formulating, scoping, funding, PoC, deployment, evaluation, and value tracking.
• Collaborate with internal/external entities and with 3rd parties to drive AI implementation advancement in Gas.
• Prioritize AI business cases and oversee the quality of all deliverable packages required to secure funds.
• Develop a roadmap to scale up AI solutions across the Business Line.
• Facilitate and monitor AI solutions development and execution phases with all stakeholders.
• Develop Generative AI cases for Safety, Environment, Operations, and Maintenance.
• Apply statistical analysis methods to test hypotheses and validate results based on the project or use-case.
• Build and train machine learning models to solve specific problems and optimize models for performance and accuracy such as anomaly detection algorithms or predictive models.
• Assess, identify, and mitigate key risks associated with cybersecurity and ensure that data practices adhere to the company's regulations and data privacy standards.
• Act as the Gas AI focal point of contact and coordinator with all other entities.

• The candidate must hold a Bachelor's degree in Engineering, Computer Science, Data Science and Analytics, Machine Learning, or AI, or in a related field from an accredited university. An advanced degree in an engineering discipline with a focus on machine learning, artificial intelligence, applied statistics, or operations research is desirable.
• 10 years of experience in building data analytics-based products or machine learning models.
• Able to program in different languages such as Python and has experience with statistics and data cleaning libraries and methodologies, in addition to visualization tools such as Power BI or Tableau.
• Strong knowledge in regression and classification, association rules & clustering, big data, databases & SQL, textual analysis (NLP), neural networks, and advanced visualization. Understanding of statistical and predictive and optimization algorithms is required.
• Analytical and problem-solving skills to derive insights and opportunities from data.
• Basic project management skills to plan, execute, and deliver data science projects.
• Past experience in leading AI solution deployment projects for Oil and Gas is preferable.
• Knowledge of plant automation systems, standard real-time interfaces such as OPC, and process historians such as PI is desirable.

Working environment

Our high-performing employees are drawn by the challenging and rewarding professional, technical, and industrial opportunities we offer, and are remunerated accordingly.

At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world's biggest technical, logistical, and environmental challenges, we invest heavily in talent development.

We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs - one of the largest in the world.

Job ID: 15053

Tagged as: Gas Ventures Dept

At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.

The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems but also participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.

1. Co-develop production-level data science projects with our customers
2. Analyze and investigate various kinds of data and machine learning applications across industries and use cases
3. Help users discover and master the Dataiku platform via user training, office hours, and ongoing consultative support
4. Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams
5. Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality

• English - fluent; Arabic fluent is a big plus
• Curiosity and a desire to learn new topics and skills
• Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public
• The ability to clearly explain complex topics to technical as well as non-technical audiences
• 2 - 10 years of experience with Python and SQL
• 2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn)
• Familiarity with data visualization in Python, R
• Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL

• Experience with Consulting and/or Customer-facing Data Science roles
• Experience with Data Engineering or MLOps
• Experience building APIs
• Experience using enterprise data science tools
• Passion for teaching or public speaking

At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku!

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer.

At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.

The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems but also participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.

1. Co-develop production-level data science projects with our customers
2. Analyze and investigate various kinds of data and machine learning applications across industries and use cases
3. Help users discover and master the Dataiku platform via user training, office hours, and ongoing consultative support
4. Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams
5. Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality

• English - fluent; Arabic fluent is a big plus
• Curiosity and a desire to learn new topics and skills
• Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public
• The ability to clearly explain complex topics to technical as well as non-technical audiences
• 2 - 10 years of experience with Python and SQL
• 2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn)
• Familiarity with data visualization in Python, R
• Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL

• Experience with Consulting and/or Customer-facing Data Science roles
• Experience with Data Engineering or MLOps
• Experience building APIs
• Experience using enterprise data science tools
• Passion for teaching or public speaking

At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku!

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer.

At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.

The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems but also participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.

1. Co-develop production-level data science projects with our customers
2. Analyze and investigate various kinds of data and machine learning applications across industries and use cases
3. Help users discover and master the Dataiku platform via user training, office hours, and ongoing consultative support
4. Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams
5. Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality

• English - fluent; Arabic fluent is a big plus
• Curiosity and a desire to learn new topics and skills
• Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public
• The ability to clearly explain complex topics to technical as well as non-technical audiences
• 2 - 10 years of experience with Python and SQL
• 2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn)
• Familiarity with data visualization in Python, R
• Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL

• Experience with Consulting and/or Customer-facing Data Science roles
• Experience with Data Engineering or MLOps
• Experience building APIs
• Experience using enterprise data science tools
• Passion for teaching or public speaking

At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku!

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer.