What Jobs are available for Robotics in Qatar?

Company Description

We're building a next-generation robotic development platform that empowers developers to code, simulate, and deploy applications for robotic arms—directly from a web browser. As a Senior Robotics Software Engineer, you'll design and implement the core motion control, simulation, and hardware abstraction layers that power our platform.

Key Responsibilities

• Develop and maintain real-time control systems for 6-DOF robotic arms (e.g., UR, Franka, or custom).
• Build ROS2-based (or ROS-agnostic) modules for kinematics, trajectory planning, and sensor integration.
• Create a hardware abstraction layer (HAL) to support multiple robot vendors.
• Integrate physics-based simulators (e.g., Gazebo, Isaac Sim, or Web-based alternatives).
• Collaborate with web engineers to expose robot APIs securely over the network.

Qualifications

• 4+ years in robotics software development.
• Strong C++/Python; experience with ROS/ROS2, MoveIt, or similar frameworks.
• Familiarity with ROS or robotics deployment pipelines is a bonus.
• Deep understanding of forward/inverse kinematics, dynamics, and real-time systems.
• Experience deploying robotics software on embedded or edge devices is a plus.

About Walnut Education

Walnut Education is a leading EdTech company on a mission to make
coding, robotics, and AI education
accessible and engaging for young learners worldwide. We provide curriculum, robotics kits, and international competitions to empower students with essential 21st-century skills.

| Walnut Education - YouTube

Opportunity

We are seeking
distributors / strategic partners
to expand Walnut's presence
in your local market
. This is a
business opportunity
(not an employee role). Partners will purchase Walnut products and resell them to schools/centres at market rates.

Ideal Profiles

• Companies or entrepreneurs in
  coding, robotics, AI, or STEM
• Tuition centre owners, enrichment providers, or school principals
• Founders & investors with strong
  K–12 education networks
• Education publishers or organisations with distribution channels

Your Role

• Purchase Walnut products
  (coding & robotics kits, curriculum, competitions)
• Resell to schools/centres
  in your market
• Build partnerships with schools, tuition centres, and education leaders
• Run
  local/state competitions
  with Walnut's SOPs (Walnut leads regional & international competitions)

What We Provide

• Proven coding & robotics curriculum (Scratch, Python, C++)
• International competition pipeline & frameworks
• Full HQ support (training, SOPs, branding, marketing assets)

Compensation

Margin from product resale (
requires initial product purchase for distribution
).

Let's shape the future of digital education together.

Apply via LinkedIn Easy Apply

Job Summary
You will be responsible for end-to-end data science cycles, encompassing designing, training, implementing, evaluating, and monitoring machine learning models, and will also design and implement highly scalable tools and algorithms based on state-of-the-art Machine Learning and Deep Learning methodologies.

You will work across the ML stack, from researching models, working with large datasets, training, and tuning existing models to creating new models, deploying them at scale, analyzing results, and presenting findings to stakeholders across tech and business domains.

Job Objectives

• Develop and implement advanced predictive models to optimize customer experiences and other business outcomes.
• Analyze large and complex datasets to extract actionable insights and drive business decisions.
• Interpret results and provide actionable insights to guide real-time decision-making within the business context.
• Collaborate with cross-functional teams to ensure proper deployment and integration of ML models for new releases.

Job Responsibilities
Predictive Modeling and Deployment

• Develop and implement advanced predictive models to forecast key business metrics such as sales, customer churn, or product demand.
• Utilize predictive modeling to optimize customer experiences and other business outcomes.
• Execute machine learning models, algorithms, and statistical techniques to analyze historical data and ensure scalability and efficiency.

Data Preparation and Analysis

• Develop and use advanced software programs, algorithms, and query techniques to cleanse, integrate, and evaluate datasets for model inputs.
• Analyze large and complex datasets to extract actionable insights and identify trends and patterns that can drive business decisions.
• Identify manual human processes, understand user behaviors, and analyze use cases that can be augmented or automated.

Model Deployment and Interpretation

• Deploy models into production environments and monitor their performance over time.
• Apply statistical, mathematical, and predictive modeling techniques to build, maintain, and improve real-time decision systems.
• Interpret results, develop insights within the business context, and provide guidance on risks and limitations

Development & Documentation

• Write the code as per agreed software design rules to keep it aligned with the rest of the code base.
• Code the final implementation that the generated code is referring to.
• Follow company software data protection and security guidelines in developing software.
• Accurately estimate the time needed to complete an assigned task.
• Identify possible causes of issues or problems.
• Think through and recommend solutions when raising issues around code, requirements, etc.
• Write technical design documentation that fully defines all application code.
• Maintain detailed knowledge of iHorizons products and services.
• Understand the business impact for labs outcomes.

Collaboration & Team Guidance

• Stay updated on the latest research, learn new applications, tools, and technologies in the fields of data science and machine learning through intensive and focused effort.
• Collaborate with technical and non-technical business partners to develop analytical dashboards describing ML algorithm findings to stakeholders.
• Collaborate with other teams to perform code reviews and oversee proper deployment for new releases.
• Actively mentor and support mid-level and junior developers in their professional growth.
• Provide guidance on best practices in machine learning, code reviews, and project design.
• Foster an inclusive and collaborative environment that encourages continuous learning and development within the team.
• Oversee interactions with vendors and third-party service providers, including collaborating on the design and implementation of technical architectures, and acting as a point of contact for resolving technical issues. Maintain clear communication with internal stakeholders regarding vendor-related activities, updates, and issues to facilitate smooth collaboration and decision-making processes.

Job Requirements
Educational Qualification

• Bachelor's degree in data science, statistics, and computer science is a MUST.
• Google Cloud - Professional Machine Learning Engineer Certificate
• Google AgentSpace implementation experience

Previous Work Experience

• 3-4+ Years of experience in data science or machine learning.
• Must have strong experience in at least one of the following areas:
• Vision models
• NLP models (Experience in Arabic NLP is a huge plus)

Skills And Abilities

• Proficient in python, TensorFlow, keras and pytorch.
• Good experience in:
• SQL and non-relational databases.
• Data analytics reports generation.
• ML model development deployment.

Powered by JazzHR

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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:
Business Development Manager –
Educational Equipment, STEM solutions, and robotics technologies

Location
: Qatar

Experience
: 5+ years

Job Type
: Full Time

Job Brief

We are looking for a dynamic
Business Development Manager
to lead our growth in the field of
educational equipment, STEM solutions, and robotics technologies
. In this role, you will help schools, universities, and training centers bring innovation into their classrooms. If you are passionate about education, technology, and creating opportunities for the future generation, this is the right role for you.

Responsibilities

• Develop and execute strategies to grow sales of educational equipment, robotics kits, and training solutions.
• Build strong relationships with schools, universities, vocational institutes, and training centers.
• Conduct product demos, workshops, and training sessions for faculty and students.
• Prepare and deliver proposals, tenders, and project documents.
• Work with academic institutions and government bodies to promote STEM and robotics learning programs.
• Study market trends, customer needs, and competitor activities to design smart go-to-market strategies.
• Coordinate with technical and service teams for smooth delivery, training, and after-sales support.

Qualifications

• Engineering graduate (any stream).
• Experience in
  business development, educational technology, or robotics
  is an advantage.
• Strong skills in communication, presentations, and client engagement.
• Knowledge of STEM learning solutions and robotics is a plus.

Why Join Us?

• Play a key role in shaping the future of education and learning.
• Work with cutting-edge technologies in STEM and robotics.
• Competitive package
• A supportive environment that values ideas, creativity, and growth.
• Be part of a mission to empower students, teachers, and institutions.

Application Instructions

If you possess the qualifications and are driven to excel in your field, we warmly invite you to apply by sharing your updated resume at

or by applying directly through this platform.

Note: While we appreciate every application, only shortlisted candidates will be contacted. Your understanding is appreciated in this regard

Scale's rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:

• Creating custom AI applications that will impact millions of citizens
• Generating high-quality training data for national LLMs
• Upskilling and advisory services to spread the impact of AI

We are hiring multiple Machine Learning Engineers who will leverage the latest research to design, train, deploy, and evaluate computer vision and/or language models to power the custom applications we build for our public sector clients.

At Scale, we're not just building AI solutions—we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you.

You will:

• Partner with public sector counterparts to deeply understand their challenges
• Apply the latest research as you design custom models or chains of models
• Collaborate closely with our data annotation teams to create high-quality training datasets
• Train, optimize, and deploy models into challenging production environments
• Develop and maintain robust evaluation systems
• Participate in customer engagements, including occasional travel (approximately one week per quarter)
• Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing

Ideally, you'd have:

• 5+ years of computer vision and/or language model training, deployment, evaluation, and maintenance experience in a production environment
• Master's or equivalent work experience
• Software engineering experience with demonstrated proficiency in Python, TypeScript/JavaScript, C++ or similar

Nice to haves:

• Experience working at a startup
• Experience dealing with large-scale AI problems
• Strong written and verbal communication skills to operate in a cross-functional team environment
• Proficiency in Arabic (if focused on language models)
• Published research in areas of machine learning at significant conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals.

PLEASE NOTE:
Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at Please see the United States Department of Labor's
Know Your Rights poster
for additional information.
We comply with the United States Department of Labor's
Pay Transparency provision
.
PLEASE NOTE:
We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Scale's rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:

• Creating custom AI applications that will impact millions of citizens
• Generating high-quality training data for national LLMs
• Upskilling and advisory services to spread the impact of AI

We are hiring a Machine Learning Engineer Manager who will manage a team of high-calibre MLEs who design, train, deploy, and evaluate computer vision and/or LLMs to power custom applications we build for our public sector clients. You will guide your team towards using data-driven experiments to provide key insights around model strengths and inefficiencies in an effort to improve products.

At Scale, we're not just building AI solutions—we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you.

You will:

• Train state of the art models, developed both internally and from the community, in production to solve problems for our enterprise customers.
• Manage a team of ML Engineers
• Work with product and research teams to identify opportunities for ongoing and upcoming services.
• Explore approaches that integrate human feedback and assisted evaluation into existing product lines.
• Create state of the art techniques to integrate tool-calling into production-serving LLMs.
• Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems.

Ideally you'd have:

• At least 5 years of model training, deployment and maintenance experience in a production environment
• At least 5+ years of management or tech leadership experience
• Strong skills in NLP, LLMs and deep learning
• Solid background in algorithms, data structures, and object-oriented programming
• Experience working with a cloud technology stack (eg. AWS, GCP, or Azure) and developing machine learning models in a cloud environment
• Experience building products with LLMs including knowing the ins and outs of evaluation, experimentation, and designing solutions to get the most of the models
• Strong written and verbal communication skills to operate in a cross functional team environment

Nice to haves:

• Experience in dealing with large scale AI problems, ideally in the generative-AI field
• Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. classification, detection, question-answering, etc.
• Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals
• Strong high-level programming skills (e.g., Python), frameworks and tools such as DeepSpeed, Pytorch lightning, kubeflow, TensorFlow, etc.
• Fluent in Arabic

PLEASE NOTE:
Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at Please see the United States Department of Labor's
Know Your Rights poster
for additional information.
We comply with the United States Department of Labor's
Pay Transparency provision
.
PLEASE NOTE:
We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.