25 Feature Engineering jobs in Riyadh

Direct message the job poster from Saudi Patient Safety Center - المركز السعودي لسلامة المرضى

Job Purpose - الغرض من الوظيفة

The Data Analyst will play a key role in improving the quality of patient safety data at the Saudi Patient Safety Center (SPSC). By applying advanced statistical and analytical methods, the analyst will generate evidence-based reports, develop national patient safety KPIs, and support decision-making at both national and international levels - سيساهم محلل البيانات بدور محوري في تحسين جودة بيانات سلامة المرضى في المركز السعودي لسلامة المرضى ومن خلال تطبيق الأساليب الإحصائية والتحليلية المتقدمة، سيقوم المحلل بإعداد تقارير قائمة على الأدلة، وتطوير مؤشرات أداء وطنية لسلامة المرضى، ودعم عملية اتخاذ القرار على المستويين الوطني والدولي. ويسهم هذا الدور بشكل مباشر في تعزيز مكانة المركز كجهة وطنية رائدة ذات شراكات دولية ومعترف بها من قبل منظمة الصحة العالمية (WHO).

Responsibilities - المسؤوليات

• Collect, clean, analyze, and present findings of healthcare data using advanced statistical tools and methods - جمع البيانات الصحية وتنظيفها وتحليلها وعرض نتائجها باستخدام أدوات وأساليب إحصائية متقدمة.
• Prepare reports highlighting trends, risks, and recommendations for performance improvement - إعداد تقارير تسلط الضوء على الاتجاهات والمخاطر والتوصيات اللازمة لتحسين الأداء.
• Collaborate with clinical teams to interpret findings and implement evidence-based improvements - التعاون مع الفرق السريرية لتفسير النتائج وتطبيق التحسينات المبنية على الأدلة.
• Support research studies and national/international projects related to patient safety - دعم الدراسات البحثية والمشاريع الوطنية والدولية ذات الصلة بسلامة المرضى.
• Develop, monitor, and evaluate patient safety Key Performance Indicators (KPIs) - تطوير ومتابعة وتقييم مؤشرات الأداء الرئيسة (KPIs) الخاصة بسلامة المرضى.
• Ensure accuracy, integrity, and quality assurance of data before reporting - ضمان دقة ونزاهة البيانات وجودتها قبل نشرها أو الإبلاغ عنها.
• Contribute to strengthening SPSC’s international reporting and benchmarking in line with WHO standards - الإسهام في تعزيز التقارير الدولية والمقارنات المرجعية للمركز بما يتماشى مع معايير منظمة الصحة العالمية.
• Create dashboards and visualization tools (Power BI/Tableau) to facilitate decision-making in patient safety - إنشاء لوحات متابعة وأدوات عرض بيانية (Power BI/Tableau) لدعم عملية اتخاذ القرار في مجال سلامة المرضى.

Requirement and Qualifications - المتطلبات والمؤهلات

• Bachelor or Master’s degree in Biostatistics, Epidemiology, Health Data Science, or a related field - درجة الباكلوريوس او الماجستير في الإحصاء الحيوي، علم الأوبئة، علوم بيانات الصحة، أو مجال ذي صلة.
• Patient Safety certification - شهادة في سلامة المرضى.
• Certified Professional in Healthcare Quality (CPHQ) - أخصائي معتمد في جودة الرعاية الصحية
• Machine Learning specialization - تخصص في التعلم الآلي.
• Lean Six Sigma Green/Black Belt - لين سقما
• Certified Health Data Analyst (CHDA) - محلل بيانات صحية معتمدة
• Proficiency in statistical software and tools such as SAS, R, SPSS, Power BI, or Python - إجادة استخدام البرمجيات والأدوات الإحصائية مثل SAS، R، SPSS، Power BI أو Python.
• Strong SQL and data querying from relational databases or cloud-based environments - إتقان SQL واستخراج البيانات من قواعد البيانات العلائقية أو البيئات السحابية.
• Advanced analytical and problem-solving skills, with ability to extract meaningful insights - مهارات تحليلية متقدمة وحل المشكلات مع القدرة على استنتاج رؤى ذات مغزى.
• Strong reporting skills with ability to communicate complex findings clearly - مهارات قوية في إعداد التقارير وعرض النتائج المعقدة بشكل واضح.
• Ensure data accuracy, quality, and security in compliance with internal policies and data governance standards - ضمان دقة وجودة وأمن البيانات بما يتماشى مع السياسات الداخلية ومعايير حوكمة البيانات.
• Cross-functional Collaboration - القدرة على التعاون الفعال مع فرق متعددة التخصصات.
• Strong communication and data presentation abilities for clinical and non-clinical audiences - قدرات تواصل متميزة وعرض البيانات بطريقة مناسبة للجمهور السريري وغير السريري.
• High attention to detail and accuracy in data work - دقة عالية واهتمام بالتفاصيل في العمل مع البيانات.
• Ability to collaborate effectively in multidisciplinary teams - القدرة على التعاون والعمل الجماعي بفعالية.

Referrals increase your chances of interviewing at Saudi Patient Safety Center - المركز السعودي لسلامة المرضى by 2x

1. Build and maintain high-performance microservices using Kotlin and Spring Boot
2. Model relational schemas, optimize SQL queries, and manage data consistency across MySQL and PostgreSQL
3. Collaborate with data scientists to consume ML models (e.g., via REST, gRPC), embed intelligent decisioning into backend services
4. Develop and maintain RESTful APIs; define contracts for frontend, partner services, or AI inference layers
5. Contribute to Docker/Kubernetes-based deployments, CI/CD pipelines, and monitoring (Grafana, Prometheus, etc.)
6. Review code, guide peers on best practices, and participate in architectural discussions and roadmap planning

Skills

• 5+ years of experience building production-ready backend systems
• Expert-level knowledge of Kotlin and Spring Boot ecosystem
• Strong experience with microservices, API design, and distributed systems
• Hands-on experience with MySQL and PostgreSQL including schema design and query optimization
• Solid understanding of software design patterns, RESTful principles, and secure coding practices
• Experience with containerized environments and orchestrators (Docker, Kubernetes)
• Familiarity with integrating AI/ML models (e.g., Python-based APIs, TensorFlow/ONNX serving, or model inference endpoints)
• Strong communication skills and ability to work across engineering and data teams

Roles & Responsibilities:

• Design and implement machine learning models, algorithms, and deep learning applications and systems.
• Optimize and scale ML models for production.
• Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications.
• Monitor model performance and identify differences in data distribution that could potentially affect model performance in real-world applications.
• Ensure algorithms generate accurate user recommendations.
• Prepare and clean data for model training, including data wrangling, feature engineering, and handling missing values.
• Integrate machine learning models into production systems (web applications, APIs) using software engineering best practices.
• Document the machine learning development process and model performance for future reference and collaboration.
• Stay up to date with developments in the machine learning industry.

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (preferred).
• At least 5 years of hands-on experience as machine learning engineer or similar role.
• Familiarity with Python, Java, C++, and R.

• Machine Learning Algorithms and Techniques (supervised, unsupervised, reinforcement learning).
• Software Engineering Principles (version control, testing, DevOps).
• Cloud Computing Platforms (AWS, Azure, GCP) (often a plus).
• Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms.
• In-depth knowledge of machine learning frameworks, like Keras or PyTorch.
• Familiarity with data structures, data modeling, and software architecture.
• Excellent time management and organizational skills.

Roles & Responsibilities:

• Design and implement machine learning models, algorithms, and deep learning applications and systems.
• Optimize and scale ML models for production.
• Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications.
• Monitor model performance and identify differences in data distribution that could potentially affect model performance in real-world applications.
• Ensure algorithms generate accurate user recommendations.
• Prepare and clean data for model training, including data wrangling, feature engineering, and handling missing values.
• Integrate machine learning models into production systems (web applications, APIs) using software engineering best practices.
• Document the machine learning development process and model performance for future reference and collaboration.
• Stay up to date with developments in the machine learning industry.

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (preferred).
• At least 5 years of hands-on experience as machine learning engineer or similar role.
• Familiarity with Python, Java, C++, and R.

• Machine Learning Algorithms and Techniques (supervised, unsupervised, reinforcement learning).
• Software Engineering Principles (version control, testing, DevOps).
• Cloud Computing Platforms (AWS, Azure, GCP) (often a plus).
• Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms.
• In-depth knowledge of machine learning frameworks, like Keras or PyTorch.
• Familiarity with data structures, data modeling, and software architecture.
• Excellent time management and organizational skills.

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 organizations, 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.

We are seeking a talented hands-on Staff Machine Learning Engineer to lead one of ML Engineering teams at OSOS.

The ideal candidate is an Arabic speaker with a strong foundation in AI and machine learning, a record of building and deploying real-world AI systems.

As a Staff Machine Learning Engineer, you will play a pivotal role in optimizing ML models for efficient training and inference, deploying deep learning models in specialized hardware for inference usage, monitoring the performance and latency of deployed models, responsible for inference and serving the pipelines, and maintaining ML infrastructure.

• Leading a multidisciplinary team of ML engineers working on advanced Arabic language solutions and products
• Designing, building, supporting, and scaling our cloud and / or our on-premise ML infrastructure
• Deploying deep learning models in production environments and optimizing their performance for inference on either GPU or CPU
• Maintaining our infrastructure (on-prem and cloud) and preparing it for training and inference purposes
• Monitoring deployed ML models for their performance, latency, and throughput using automated tools for monitoring and reporting
• Evaluating and improving data science processes, identifying opportunities for automation, efficiency, and scalability
• Collaborating with other teams, including product managers, data scientists, software engineers, data annotators, and business stakeholders, to ensure successful deployments of ML models.
• Guide the team in using best practices in ML engineering, software design, testing, versioning, and deployment for AI products
• Staying up to date with the latest trends and advancements in ML engineering, ML models, and applying this knowledge to enhance the team’s capabilities
• Exploring and learning new technologies that can complement or replace our current stack to improve it.
• Ensure the team adopts modern ML tooling and infrastructure, including vector databases, orchestration tools, and scalable APIs

Proficiency in Arabic language is a must

Proficiency in one or more programming languages (e.g., Python, C, C++) with the ability to learn new languages

Experience with relational databases, including SQL queries, database definition, and schema design

Experience with deploying Deep learning frameworks (e.g.

Tensorflow, Pytorch, Onnx) in production environments using inference frameworks (e.g.

Nvidia Triton, TFXServing, TorchServe)

Uphold best practices and principles around clean code, version control, testing, continuous integration and continuous deployment

Effective communication skills to convey technical solutions to end-users

Experience with monitoring ML models and reporting tools (e.g.

grafana, and / or promethues)

Experience with containerization technologies (e.g.

Docker) is highly preferred

Experience with distributed computing systems is a plus

Experience with cloud platforms (e.g.

AWS, GCP, OCI) is a plus

Knowledge of big data platforms like kafka, hadoop, and spark is a plus

Experience managing remote or distributed teams

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

• Bachelor's or master's degree in computer science or a related field
• 8 years of experience in a similar role
• Proficiency with MLOps tools, CI / CD pipelines for ML, and scalable backend architecture

Overview

Join to apply for the Machine Learning Engineer - Riyadh role at Mozn .

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 organizations, 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.

We are seeking a talented Machine Learning Engineer to join our growing team. As a Machine Learning Engineer, you will play a pivotal role in optimizing ML models for efficient training and inference, deploying deep learning models in specialized hardware for inference usage, monitoring the performance and latency of deployed models, and maintaining ML infrastructure.

• Designing, building, supporting, and scaling our cloud and/or on-premise ML infrastructure.
• Deploying deep learning models in production environments and optimizing their performance for inference on either GPU or CPU.
• Maintaining our infrastructure (on-prem and cloud) and preparing it for training and inference purposes.
• Monitoring deployed ML models for their performance, latency, and throughput using automated tools for monitoring and reporting.
• Evaluating and improving data science processes, identifying opportunities for automation, efficiency, and scalability.
• Collaborating with other teams, including product managers, data scientists, software engineers, data annotators, and business stakeholders, to ensure successful deployments of ML models.
• Staying up to date with the latest trends and advancements in ML engineering, ML models, and applying this knowledge to enhance the team’s capabilities.
• Exploring and learning new technologies that can complement or replace our current stack to improve it.

• Bachelor's or Master's degree in Computer Science or a related field.
• +2 years of experience in a similar role.
• Proficiency in Arabic language (Native Arabic speaker) is a must.
• Proficiency in one or more programming languages (e.g., Python, C, C++) with the ability to learn new languages.
• Experience with relational databases, including SQL queries, database definition, and schema design.
• Experience with deploying Deep learning frameworks (e.g. Tensorflow, Pytorch, Onnx) in production environments using inference frameworks (e.g. Nvidia Triton, TFXServing, TorchServe).
• Uphold best practices and principles around clean code, version control, testing, continuous integration and continuous deployment.
• Effective communication skills to convey technical solutions to end-users.
• Experience with monitoring ML models and reporting tools (e.g. grafana, and/or promethues).
• Experience with containerization technologies (e.g. Docker) is highly preferred.
• Experience with distributed computing systems is a plus.
• Experience with cloud platforms (e.g. AWS, GCP, OCI) is a plus.
• Knowledge of big data platforms like kafka, hadoop, and spark is a plus.

• 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.

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Software Development

Riyadh, Riyadh, Saudi Arabia

About the role

We are seeking a talented hands-on Staff Machine Learning Engineer to lead one of ML Engineering teams at OSOS. The ideal candidate is a native Arabic speaker with a strong foundation in AI and machine learning, a record of building and deploying real-world AI systems. As a Staff Machine Learning Engineer, you will play a pivotal role in optimizing ML models for efficient training and inference, deploying deep learning models in specialized hardware for inference usage, monitoring the performance and latency of deployed models, responsible for inference and serving the pipelines, and maintaining ML infrastructure.

• Leading a multidisciplinary team of ML engineers working on advanced Arabic language solutions and products
• Designing, building, supporting, and scaling our cloud and/or our on-premise ML infrastructure
• Deploying deep learning models in production environments and optimizing their performance for inference on either GPU or CPU
• Maintaining our infrastructure (on-prem and cloud) and preparing it for training and inference purposes
• Monitoring deployed ML models for their performance, latency, and throughput using automated tools for monitoring and reporting
• Evaluating and improving data science processes, identifying opportunities for automation, efficiency, and scalability
• Collaborating with other teams, including product managers, data scientists, software engineers, data annotators, and business stakeholders, to ensure successful deployments of ML models.
• Guide the team in using best practices in ML engineering, software design, testing, versioning, and deployment for AI products
• Staying up to date with the latest trends and advancements in ML engineering, ML models, and applying this knowledge to enhance the team’s capabilities
• Exploring and learning new technologies that can complement or replace our current stack to improve it.
• Ensure the team adopts modern ML tooling and infrastructure, including vector databases, orchestration tools, and scalable APIs

• Bachelor's or master's degree in computer science or a related field
• +8 years of experience in a similar role
• Proficiency with MLOps tools, CI/CD pipelines for ML, and scalable backend architecture
• Proficiency in Arabic language (Native Arabic speaker) is a must
• Proficiency in one or more programming languages (e.g., Python, C, C++) with the ability to learn new languages
• Experience with relational databases, including SQL queries, database definition, and schema design
• Experience with deploying Deep learning frameworks (e.g. Tensorflow, Pytorch, Onnx) in production environments using inference frameworks (e.g. Nvidia Triton, TFXServing, TorchServe)
• Uphold best practices and principles around clean code, version control, testing, continuous integration and continuous deployment
• Effective communication skills to convey technical solutions to end-users
• Experience with monitoring ML models and reporting tools (e.g. grafana, and/or promethues)
• Experience with containerization technologies (e.g. Docker) is highly preferred
• Experience with distributed computing systems is a plus
• Experience with cloud platforms (e.g. AWS, GCP, OCI) is a plus
• Knowledge of big data platforms like kafka, hadoop, and spark is a plus
• Experience managing remote or distributed teams
• 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

About the role

We are seeking a talented hands-on Staff Machine Learning Engineer to lead one of ML Engineering teams at OSOS. The ideal candidate is a native Arabic speaker with a strong foundation in AI and machine learning, a record of building and deploying real-world AI systems. As a Staff Machine Learning Engineer, you will play a pivotal role in optimizing ML models for efficient training and inference, deploying deep learning models in specialized hardware for inference usage, monitoring the performance and latency of deployed models, responsible for inference and serving the pipelines, and maintaining ML infrastructure.

• Leading a multidisciplinary team of ML engineers working on advanced Arabic language solutions and products
• Designing, building, supporting, and scaling our cloud and/or our on-premise ML infrastructure
• Deploying deep learning models in production environments and optimizing their performance for inference on either GPU or CPU
• Maintaining our infrastructure (on-prem and cloud) and preparing it for training and inference purposes
• Monitoring deployed ML models for their performance, latency, and throughput using automated tools for monitoring and reporting
• Evaluating and improving data science processes, identifying opportunities for automation, efficiency, and scalability
• Collaborating with other teams, including product managers, data scientists, software engineers, data annotators, and business stakeholders, to ensure successful deployments of ML models.
• Guide the team in using best practices in ML engineering, software design, testing, versioning, and deployment for AI products
• Staying up to date with the latest trends and advancements in ML engineering, ML models, and applying this knowledge to enhance the team’s capabilities
• Exploring and learning new technologies that can complement or replace our current stack to improve it.
• Ensure the team adopts modern ML tooling and infrastructure, including vector databases, orchestration tools, and scalable APIs

• Bachelor's or master's degree in computer science or a related field
• +8 years of experience in a similar role
• Proficiency with MLOps tools, CI/CD pipelines for ML, and scalable backend architecture
• Proficiency in Arabic language (Native Arabic speaker) is a must
• Proficiency in one or more programming languages (e.g., Python, C, C++) with the ability to learn new languages
• Experience with relational databases, including SQL queries, database definition, and schema design
• Experience with deploying Deep learning frameworks (e.g. Tensorflow, Pytorch, Onnx) in production environments using inference frameworks (e.g. Nvidia Triton, TFXServing, TorchServe)
• Uphold best practices and principles around clean code, version control, testing, continuous integration and continuous deployment
• Effective communication skills to convey technical solutions to end-users
• Experience with monitoring ML models and reporting tools (e.g. grafana, and/or promethues)
• Experience with containerization technologies (e.g. Docker) is highly preferred
• Experience with distributed computing systems is a plus
• Experience with cloud platforms (e.g. AWS, GCP, OCI) is a plus
• Knowledge of big data platforms like kafka, hadoop, and spark is a plus
• Experience managing remote or distributed teams
• 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

Graduate Engineer - ESP Calculations & Machine Learning

Join to apply for the Graduate Engineer - ESP Calculations & Machine Learning role at nybl

We are developing an Ai ecosystem that enables businesses, in any industry, to be able to deploy artificially intelligent solutions using both our platform and applications. Our technology allows anyone to build Ai solutions without writing a line of code or needing a degree in Data Science. Our ecosystem is world changing from healthcare to agriculture, education to industry, the applications of our technology are truly limitless.

We're on the hunt for an enthusiastic Junior Engineer to help with engineering calculations and machine learning algorithms for Electrical Submersible Pumps (ESPs). This position is perfect for someone who has a solid technical foundation in petroleum, electrical, or mechanical engineering, is keen on production optimization, and loves using data science and programming to tackle real-world issues in the energy field.

• Gather, organize, and examine ESP field data (production, electrical, and fluid characteristics).
• Help in creating and verifying ESP performance calculations (head, power, efficiency, pumpability ranges).
• Apply correlations for fluid characteristics and IPR/VLP models.
• Assist in designing and testing machine learning models for optimizing ESP and predicting failures.
• Create and update Python/Excel/MATLAB scripts for engineering and ML processes.
• Record algorithms, generate reports, and present results for engineering and management teams.
• Work with senior engineers to incorporate solutions into production monitoring systems.

• Bachelor’s degree in Petroleum Engineering.
• Fundamental understanding of ESP operation and production systems (academic experience or internships are acceptable).
• Proficiency in Python (preferred), MATLAB, or VBA for engineering tasks.
• Knowledge of data analysis, regression, and basic machine learning methods.
• Analytical approach with a focus on detail and a willingness to learn.

• Internship

• Full-time

• Engineering and Information Technology