22 Robotics jobs in Saudi Arabia

Job Title:
STEM Trainer (Female)

Location:
Jeddah, Saudi Arabia

About Us:

Genius Kidz is a leading provider of STEM, Robotics, and AI education solutions for K-12 students across international schools. We aim to empower young learners with hands-on experience in Robotics, Coding, IoT, AI, 3D Printing, and Design Thinking, preparing them for the future of technology and innovation.

Position Overview:

We are seeking a female STEM Trainer
based in
Jeddah, Saudi Arabia
, who is passionate about teaching and inspiring students in the fields of Science, Technology, Engineering, and Mathematics. The trainer will be responsible for delivering structured STEM programs, conducting workshops, and supporting students in hands-on projects and competitions.

Key Responsibilities:

• Deliver engaging lessons in STEM, Robotics, Coding, IoT, and related subjects to K-12 students.
• Facilitate hands-on learning activities, workshops, and project-based learning.
• Guide students in problem-solving, innovation, and design thinking approaches.
• Customize teaching methods based on students' grade levels and abilities.
• Collaborate with school staff, management, and Genius Kidz coordinators to ensure smooth delivery of programs.
• Track student progress, provide feedback, and assist in preparing them for competitions, exhibitions, and presentations.
• Ensure safe and effective use of STEM kits, robotics equipment, and lab resources.

Requirements:

• Bachelor's degree in Engineering / Science / Education (STEM-related fields preferred).
• Previous experience in teaching/training students in Robotics, Coding, or STEM subjects.
• Strong knowledge of Arduino, Raspberry Pi, Robotics kits, or coding platforms (Scratch, Python, etc.) is an advantage.
• Excellent communication and classroom management skills.
• Passionate about working with children and fostering creativity.
• Candidate must be a female and stationed in Jeddah.
• Must hold a valid dependent visa or legal work visa in Saudi Arabia.

What We Offer:

• Competitive salary package.
• Training and professional development opportunities.
• Opportunity to work in international schools and be part of a growing STEM education movement.

Job Title: STEM Trainer (Female)

Location: Jeddah, Saudi Arabia

About Us:

Genius Kidz is a leading provider of STEM, Robotics, and AI education solutions for K-12 students across international schools. We aim to empower young learners with hands-on experience in Robotics, Coding, IoT, AI, 3D Printing, and Design Thinking, preparing them for the future of technology and innovation.

Position Overview:

We are seeking a female STEM Trainer based in Jeddah, Saudi Arabia, who is passionate about teaching and inspiring students in the fields of Science, Technology, Engineering, and Mathematics. The trainer will be responsible for delivering structured STEM programs, conducting workshops, and supporting students in hands-on projects and competitions.

Key Responsibilities:

Deliver engaging lessons in STEM, Robotics, Coding, IoT, and related subjects to K-12 students.

Facilitate hands-on learning activities, workshops, and project-based learning.

Guide students in problem-solving, innovation, and design thinking approaches.

Customize teaching methods based on students' grade levels and abilities.

Collaborate with school staff, management, and Genius Kidz coordinators to ensure smooth delivery of programs.

Track student progress, provide feedback, and assist in preparing them for competitions, exhibitions, and presentations.

Ensure safe and effective use of STEM kits, robotics equipment, and lab resources.

Requirements:

Bachelor's degree in Engineering / Science / Education (STEM-related fields preferred).

Previous experience in teaching/training students in Robotics, Coding, or STEM subjects.

Strong knowledge of Arduino, Raspberry Pi, Robotics kits, or coding platforms (Scratch, Python, etc.) is an advantage.

Excellent communication and classroom management skills.

Passionate about working with children and fostering creativity.

Candidate must be a female and stationed in Jeddah.

Must hold a valid dependent visa or legal work visa in Saudi Arabia.

What We Offer:

Competitive salary package.

Training and professional development opportunities.

Opportunity to work in international schools and be part of a growing STEM education movement.

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Company Description

Inc Robotics is a leading provider of cleaning, disinfection, service, guidance, and logistical robots in Saudi Arabia and the GCC region. Our innovative solutions cater to a diverse range of industries and are designed to enhance operational efficiency and safety. We are committed to delivering state-of-the-art robotic technology to meet the unique needs of our clients and improve their operational outcomes.

Role Description

This is a full-time, on-site role located in the Riyadh Region for a Robotics Sales Manager. The Robotics Sales Manager will be responsible for developing and implementing sales strategies to drive business growth, identifying and pursuing new business opportunities, and managing customer relationships. The role includes presenting and demonstrating robotic products to clients, negotiating contracts, and collaborating with the marketing team to align sales strategies with marketing initiatives. The manager will also be responsible for monitoring market trends, providing feedback to the product development team, and ensuring customer satisfaction.

Qualifications

• Experience in Sales, Business Development, and Account Management skills
• Knowledge of Robotics, Automation, and Product Demonstration skills
• Strong Communication, Negotiation, and Presentation skills
• Customer Relationship Management and Customer Service skills
• Ability to analyze market trends and provide strategic input
• Proficiency in using CRM software and MS Office Suite
• Bachelor's degree in Business, Engineering, or a related field
• Experience in the robotics

About Us

INC Robotics is a prominent Saudi firm specializing in delivering advanced robotics, artificial intelligence, and automation solutions across diverse sectors, including hospitality, cleaning, logistics, and smart infrastructure. As part of our ongoing expansion, we are seeking an accomplished Sales Manager to spearhead business growth, lead strategic client engagements, and oversee the successful management of complex projects.

Key Responsibilities

• Develop and execute comprehensive sales strategies to meet defined monthly and annual revenue objectives.

• Establish and nurture long-term relationships with enterprise clients, government organizations, and facility management providers.

• Identify, evaluate, and capitalize on new business opportunities within AI, robotics, and facility management solutions.

• Manage the end-to-end sales process, ensuring seamless progression from prospecting through to deal closure.

• Collaborate closely with technical, operational, and facility management teams to design and deliver integrated solutions tailored to client needs.

• Oversee post-sales project management, ensuring effective implementation and high levels of client satisfaction.

• Prepare precise sales forecasts, detailed reports, and professional presentations for senior leadership. Requirements

• Bachelor's degree in business, Engineering, or a related discipline (MBA preferred).

• At least 5 years of proven experience in sales management, ideally within the AI, robotics, or facility management industries.

• Solid understanding of project management methodologies.

• Demonstrated background in Facility Management services, operations, or technology solutions.

• Exceptional communication, negotiation, and leadership capabilities.

• Proficiency in English and Arabic is mandatory.

• An established network of clients within Saudi Arabia is highly desirable

Job Type: Full-time

Pay: ﷼7, ﷼15,000.00 per month

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