41 AI Architecture jobs in Saudi Arabia

Machine Learning & AI Specialist

Location:
Dammam / Remote

Type:
Full-time

Objective:

Develop AI and computer vision solutions for fast and accurate item recognition and counting.

Responsibilities:

• Build and deploy computer vision models for SKU recognition in varied real-world settings.
• Implement 3D perception / Spatial Vision using
  LiDAR
  and other sensors for accurate mapping of items and shelves.
• Optimize models for on-device processing (mobile/tablet) to reduce latency.
• Integrate AI outputs with backend or ERP systems for real-time inventory updates.
• Preprocess, label, and manage datasets for training and testing models.
• Continuously monitor and improve model accuracy and performance.

Required Skills & Tools:

• Deep learning & computer vision (CNNs, 3D CNNs, object detection)
• Frameworks:
  TensorFlow, PyTorch, OpenCV
• On-device inference:
  TensorFlow Lite, ONNX, CoreML
• 3D sensing / LiDAR integration
• Data preprocessing, labeling, and model evaluation

Preferred:

• Augmented Reality (AR) for overlay information
• Self-supervised or semi-supervised learning techniques

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.

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.

Role Description

This is a full-time, on-site role for a Machine Learning Engineer based in Dammam. The Machine Learning Engineer will be responsible for developing and implementing machine learning models, analyzing large datasets, and collaborating with cross-functional teams to enhance our gamified psychometric assessments. Day-to-day tasks include pattern recognition, data preprocessing, optimizing algorithms, and testing neural network models to enhance predictive accuracy and performance.

Qualifications

• Strong knowledge in Pattern Recognition and Statistics
• Proficiency in Computer Science concepts and Algorithms
• Experience with Neural Networks
• Excellent problem-solving and analytical skills
• Ability to work collaboratively in a team environment
• Bachelor's/Master's degree in Computer Science, Machine Learning, or a related field

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

Apt Resources is seeking an experienced Machine Learning Engineer for a client in Abu Dhabi's Government & Public Sector. In this role, you will design and deploy cutting-edge AI/ML solutions using Large Language Models (LLMs) like GPT, Llama, and BERT to drive innovation in public services.

This is an exciting opportunity to work on high-impact projects involving Retrieval-Augmented Generation (RAG), fine-tuning, and prompt engineering, ensuring secure, scalable, and compliant AI systems for government applications.

• Develop and optimize AI/ML pipelines for LLMs, focusing on RAG architectures, fine-tuning, and prompt engineering tailored for public sector needs.
• Implement scalable solutions using Python, LangChain, HuggingFace, PyTorch/TensorFlow, and cloud-based ML services (Azure ML preferred).
• Integrate vector/graph databases (Weaviate, Neo4j) into production systems to enhance data retrieval and analysis.
• Deploy and monitor models in production, ensuring adherence to government security and compliance standards.
• Collaborate with cross-functional teams to align AI solutions with public sector objectives (e.g., citizen services, data governance, operational efficiency).

• 6-14 years of hands-on experience in AI/ML, with a strong focus on LLMs and GenAI.
• Expertise in LLM architectures (Transformers), prompt engineering, and RAG implementations.
• Proficiency in Python and ML frameworks (LangChain, LlamaIndex, HuggingFace, Scikit-learn).
• Experience with cloud platforms (Azure ML, AWS, or GCP) and MLOps tools (MLflow, model monitoring).
• Familiarity with vector databases, ETL pipelines, and unstructured data handling.
• Knowledge of government IT standards or secure deployments is a plus.

To be discussed

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

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

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 looking for a Senior Machine Learning Engineer to lead the design, deployment, and optimization of machine learning and generative AI solutions. The role focuses on applying advanced ML techniques to solve real-world challenges across government and enterprise clients in Saudi Arabia.

• Designing, building, and scaling machine learning models and infrastructure
• Deploying deep learning and generative models into production for public and private sector projects
• Collaborating with data scientists, product managers, and stakeholders to deliver AI-driven insights
• Optimizing ML training and inference for performance, latency, and scalability
• Monitoring, retraining, and improving deployed ML models
• Driving consultation efforts, providing expert guidance to client stakeholders

• Bachelor’s or master’s degree in computer science or related field
• 4+ years of experience in ML engineering, data science, and generative AI
• Strong track record of projects across public and private sectors
• Expertise in Python, TensorFlow, PyTorch, ONNX, and ML deployment frameworks
• Expertise in containerization and orchestration technologies (Docker, Kubernetes), with hands-on experience in ML lifecycle management (MLflow) and local LLM deployment frameworks (Ollama)
• Skilled in on-premise infrastructure design and enterprise architecture frameworks, with strong adherence to security and compliance best practices
• Deep understanding of hardware provisioning for local LLM deployments (GPU, RAM, and storage optimization) and secure network configurations for internal AI services
• Experience with cloud ML environments (SageMaker, Vertex AI, OCI Data Science)
• Familiarity with MLOps practices and automation pipelines
• 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