485 Machine Learning Engineer jobs in Saudi Arabia

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.

Job Title: Machine Learning Engineer (AI/ML – Generative AI Focus)

Location: Riyadh, Saudi Arabia

Employment Type: Full-Time (Onsite)

Compensation: 15,000 SAR (Net) + 6,000 SAR (Benefits)

About the Role

We are seeking a highly skilled Machine Learning Engineer with strong expertise in LLMs, Generative AI, and modern ML frameworks. This role requires a professional who can design, build, and deploy machine learning systems, while also driving technical roadmaps and collaborating with business SMEs. Fluency in Arabic and residency in Riyadh are mandatory.

Key Responsibilities

• Design, develop, and deploy machine learning models and pipelines for business-critical applications

• Work hands-on with Large Language Models (LLMs), focusing on prompt engineering, Retrieval-Augmented Generation (RAG), and AI agents

• Lead and guide engineering teams on technical strategies and roadmaps

• Collaborate with business SMEs to translate requirements into ML/AI solutions

• Implement and optimize end-to-end ML systems in production, ensuring scalability, reliability, and performance

• Integrate solutions with cloud platforms (Azure, AWS, GCP)

• Manage data preprocessing, feature engineering, and SQL-based transformations

• Monitor, evaluate, and continuously improve model accuracy, fairness, and efficiency

Required Qualifications

• 5+ years of professional experience in building and deploying machine learning models and systems

• 1+ years of practical experience with LLMs and Generative AI techniques (prompt engineering, RAG, agents)

• Proven experience in leading or mentoring engineering teams or driving technical roadmaps

• Strong programming proficiency in Python

• Hands-on expertise with LangChain or LangGraph

• Advanced SQL skills for data handling and pipeline development

• Experience with cloud services (Azure, GCP, or AWS)

• Strong communication skills with the ability to collaborate effectively with business stakeholders

• Must be a resident of Riyadh and fluent in Arabic (mandatory)

Preferred Skills (Nice-to-Have)

• Experience with vector databases (Pinecone, FAISS, Weaviate, Milvus)

• Familiarity with MLOps tools (MLflow, Kubeflow, Airflow)

• Deep learning frameworks such as PyTorch, TensorFlow, Hugging Face Transformers

• Experience in deploying AI solutions at scale

Why Join Us

• Competitive package: 15,000 SAR net + 6,000 SAR benefits

• Opportunity to work on cutting-edge Generative AI projects in Riyadh

• Collaborative and innovative work culture

Do you want to love what you do at work? Do you want to make a difference, an impact, and transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?

If yes, then this is the job you are looking for , is Saudi's #1 event ticketing and experience booking platform in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion in sales. is part of the Supertech Group also consisting of UXBERT Labs, one of the best digital and user experience design agencies in the GCC, along with Kafu Games, the largest esports tournament platform in MENA.

Key Responsibilities:

• Lead the development of innovative AI tools.
• Leverage existing AI models and frameworks, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), to address complex business challenges.
• Collaborate with cross-functional teams to gather requirements and translate them into effective AI solutions.
• Fine-tune and optimize AI models for specific applications, ensuring high performance and accuracy.
• Experiment with various AI models, libraries, and techniques to identify the best solutions for specific problems.
• Develop custom AI solutions when necessary, utilizing machine learning, deep learning, natural language processing, and computer vision techniques.
• Integrate AI solutions seamlessly into existing systems and workflows, working closely with data scientists and software engineers.
• Document and communicate technical designs, processes, and best practices to ensure clarity and knowledge sharing.

Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
• Strong programming skills in languages such as Python, Java, or C++.
• In-depth knowledge of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and AI technologies.
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Proficiency in software development best practices, version control systems, and agile methodologies.
• Excellent problem-solving skills with the ability to think critically and analytically.
• Strong communication skills and the ability to collaborate effectively with cross-functional teams.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).

Siyadah AI | Saudi AI Startup

We are building an advanced SaaS platform that redefines customer service and sales through fully automated AI agents. Our mission is to become the leading regional player in AI solutions tailored for emerging markets.

Position: Machine Learning Engineer

Location: Riyadh

Responsibilities

• Design and develop machine learning models for Natural Language Processing (NLP), with a strong focus on Arabic and Gulf dialects.

• Train, fine-tune, and optimize models using state-of-the-art frameworks (PyTorch, TensorFlow, HuggingFace).

• Collaborate with data and software engineering teams to integrate models into production SaaS environments.

• Continuously evaluate, monitor, and improve model performance to ensure scalability and reliability.

• Stay up to date with the latest AI research and transform cutting-edge advancements into practical applications.

Requirements

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.

• 2+ years of proven experience in developing and deploying ML models.

• Proficiency in Python and deep learning frameworks.

• Solid knowledge of NLP techniques and handling text/audio datasets.

• Understanding of MLOps practices and model deployment in production environments.

What We Offer

• A chance to be part of a fast-growing AI startup leading innovation in Saudi Arabia and the region.

• The opportunity to work on challenging problems with real-world impact.

• A dynamic, ambitious, and collaborative team environment.

• Clear career growth pathways and exposure to cutting-edge AI technologies.

If you are looking for an opportunity to shape the future of AI in the Middle East, we want to hear from you.

Role Overview

We are looking for a driven and experienced Machine Learning Engineer with strong

specialization in Computer Vision to join our AI team. This role involves developing high

performance computer vision solutions that power real-world applications across diverse

domains such as surveillance, retail analytics, document automation, inspections, and beyond.

You will contribute across the full lifecycle of model development. from problem definition to

deployment. working closely with multidisciplinary teams to transform business requirements

into scalable intelligent systems.

Role Summary

As a Machine Learning Engineer with a focus on Computer Vision, you will bridge research and

real-world deployment. Your mission is to transform complex visual data into actionable

intelligence, whether it's through real-time video analytics, document understanding, or

automated inspection. You will work cross-functionally to build, optimize, and scale machine

learning models that are robust, efficient, and impactful in operational environments.

Key Responsibilities

• Design and develop machine learning models tailored for image, video, or document

analysis tasks such as classification, detection, segmentation, or text extraction.

• Build and maintain robust end-to-end pipelines for data ingestion, preprocessing, model

training, validation, and deployment.

• Experiment with new algorithms and architectures to improve model performance and

adaptability across environments.

• Collaborate with hardware, software, and product teams to integrate vision models into

cloud-based and on-edge environments.

• Analyze performance metrics and continuously optimize models for accuracy, latency,

and resource efficiency.

• Support team members with code reviews, architecture planning, and research

explorations.

• Ensure models and pipelines follow best practices in versioning, testing, and

documentation.

Minimum Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field with a

strong focus on machine learning or computer vision.

• 4–7 years of professional experience in designing and deploying ML solutions, with at

least 3 years focused on computer vision.

• Solid understanding of deep learning principles and core CV concepts such as image

transformations, feature extraction, and object recognition.

• Strong coding and debugging skills in a major programming language used in AI/ML

development.

• Experience in handling large-scale image/video datasets and building automated training

workflows.

• Ability to evaluate model performance using appropriate statistical and business metrics.

Preferred Qualifications

• Experience deploying models into production environments, both cloud-based and

edge-oriented.

• Familiarity with video processing, multi-modal data fusion, or document layout analysis.

• Background in solving real-world problems involving noisy data, low-resource

environments, or high accuracy demands.

• Exposure to annotation workflows, human-in-the-loop training, or active learning

setups.

• Strong communication skills, with ability to document findings, present solutions, and

collaborate across disciplines.

We're looking for a Machine Learning Engineer who is deeply grounded in ML theory and excited to design, train, fine-tune, and deploy Large Language Models (LLMs) and other ML systems in real-world production environments.

You'll work closely with backend and product individuals/teams to deliver smart, scalable features—from rapid experimentation to full-scale deployment. If you're passionate about ML theory, hands-on with LLMs, and know how to ship high-impact AI features, this role is for you.What You'll Do

• Design and implement ML solutions from ideation to production
• Fine-tune and integrate LLMs
• Deploy and monitor LLM-powered features at scale in real-world products
• Collaborate with engineers and product teams to build intelligent, user-facing features
• Write clean, scalable code and detailed technical documentation
• Stay current with the latest in ML research, LLM capabilities, and MLOps best practices

Must-Haves

1. Be an Arabic speaker
2. Have at least 1 year of non-internship experience in Machine Learning.
3. Strong ML and DL theory background, you don't just use things, you know how they are working under the hood.
4. Experience training and fine-tuning LLMs, with practical knowledge of transformer architectures
5. Solid production-level Python experience and strong software engineering fundamentals (OOP, OOD, DSA)
6. Familiarity with LLM integration frameworks like HuggingFace Transformers, OpenAI, or LangChain
7. Familiarity with ML data pipelines and manipulation tools (e.g., Pandas, NumPy)
8. Strong research, writing, and documentation skills
9. Collaborative mindset and ability to communicate technical ideas clearly

Nice-to-Haves

• Experience deploying LLM-based features to production
• Knowledge of parameter-efficient fine-tuning (LoRA, QLoRA, PEFT)
• Familiarity with RAG pipelines and vector databases (e.g., Pinecone, Weaviate)
• Understanding of model serving and inference optimization (quantization, batching)
• Exposure to MLOps practices (monitoring, versioning, CI/CD for ML)
• Experience with RESTful APIs, Docker, and cloud platforms (GCP, AWS, or Azure)
• Interest in NLP applications, smart assistants, or chatbot systems

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.

Relevant Experience:

• 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.

Skills Expected:

• 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.

Job Type:
Full Time

Job Location:
Riyadh

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