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Advanced Artificial Mind

AI Solutions Engineer / Data Scientist / Machine Learning EngineerLocation: Qatar Department: ITResponsibilities:<ul><li>Develop and deploy custom AI models &mdash; particularly in Arabic NLP, document classification, and chatbots.</li><li>Work on data preprocessing, training, and fine-tuning large language models.</li><li>Build APIs or applications integrating AI capabilities into client systems.</li><li>Collaborate with cross-functional teams to define problem statements and evaluate solutions.</li></ul>Requirements:<ul><li>Experience with Python, TensorFlow / PyTorch, Hugging Face, or similar frameworks.</li><li>Familiarity with n8n workflows.</li><li>Knowledge of Arabic language processing and text analytics.</li><li>Strong problem-solving and research skills.</li><li>Familiarity with deploying AI models in cloud environments (Azure, AWS, GCP).</li></ul>Job Type: Full-time

AI Solutions Engineer / Data Scientist / Machine Learning Engineer

COZMALABS

We are looking for an experienced&#8239; Data Engineer&#8239;to join our team full-time. This role requires a strong background in building and optimizing data pipelines, with a focus on supporting AI-driven solutions. The candidate will work closely with software engineers to ensure reliable data flows for AI models and contribute to cloud-based data integration using Microsoft Azure.Key Responsibilities:<ul><li>Design, develop, and maintain scalable data pipelines and ETL processes to support AI-driven projects</li><li>Build and optimize data infrastructure to ensure efficient data management, processing, and storage in cloud environments (Azure)</li><li>Collaborate with AI engineers to facilitate data preparation for machine learning models and AI solutions</li><li>Ensure data pipelines are secure, reliable, and meet performance standards</li><li>Monitor and troubleshoot data pipeline performance to ensure timely and accurate data delivery</li><li>Implement data governance policies and ensure compliance with data security standards</li></ul>Required Qualifications:<ul><li>Proven experience as a Data Engineer, with a focus on building and maintaining complex data pipelines for AI projects</li><li>Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, SQL Server) and NoSQL databases (e.g., MongoDB)</li><li>Expertise in cloud-based data solutions, specifically Microsoft Azure (e.g., Azure Data Factory, Azure Synapse, Azure Databricks)</li><li>Experience with data integration tools and ETL frameworks (e.g., Apache Airflow)</li><li>Proficiency in at least one programming language for data manipulation (e.g., Python)</li><li>Knowledge of data warehousing solutions and best practices</li><li>Experience in working with data pipelines for AI or machine learning workflows</li><li>Strong problem-solving and analytical skills</li><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field</li><li>Proficiency in English (written and spoken)</li></ul>Desirable Qualifications:<ul><li>Familiarity with machine learning models and data preprocessing for AI solutions</li><li>Knowledge of containerization tools (Docker, Kubernetes) for data pipeline deployments</li></ul>Job Type: Full-time

Data Engineer

Oscar

<div>
 
 
 Role: AI Security Engineer
 
 
 
 
 Location: Doha, Qatar
 
 
 
 
 Salary: Negotiable (Tax Free) + Relocation Allowance
 
 
 
 
 
 
 
 Summary:
 
 
 
 
 
 
 Oscar Technology has partnered with a leading consultancy firm to recruit a specialist for an exciting two-year project based in Qatar. The successful candidate will play a key role in ensuring the security posture of the firm. A relocation package is available and can be negotiated.
 
 
 
 
 
 We need a technically focused AI Security Engineer with 5 years' hands‑on experience securing machine learning systems, LLM deployments, and data pipelines in enterprise environments. Deep expertise in adversarial ML, secure MLOps, model integrity, and privacy-preserving techniques. Proven record of designing production-safe inference services, automating adversarial testing, and reducing model exposure and data leakage risk.
 
 
 
 
 
 This is an excellent opportunity for someone looking to advance their career with a major Qatari firm while enjoying tax-free earnings. Salary is dependant on experience and negotiable.
 
 
 
 
 
 
 Technical expertise we are looking for:
 
 
 
 
 
 
 
 AI &amp; Automation:
 
 
 
 
 
 <ul>
 <li>
 Workflow Automation (Make.com, Zapier, n8n, MS Power Automate)
 </li>
 <li>
 AI Agents &amp; Chatbots (OpenAI, LangChain, Rasa, Dialogflow)
 </li>
 <li>
 Business Process Automation (RPA, API-Integration, SaaS Workflows)
 </li>
 <li>
 Generative AI &amp; LLMs (GPT, Prompt Engineering, Agentic Workflows)
 </li>
 </ul>
 
 
 
 
 
 Technologies &amp; Tools:
 
 
 
 
 
 <ul>
 <li>
 OpenAI API, LangChain, n8n, Make.com, Zapier
 </li>
 <li>
 MS Power Platform, Power Automate, SharePoint
 </li>
 <li>
 Docker, SQL, REST APIs, Postman, GitHub
 </li>
 <li>
 Confluence, JIRA, MS Project, Trello, Asana
 </li>
 </ul>
 
 
 
 
 
 Programming &amp; Test Automation:
 
 
 
 
 
 <ul>
 <li>
 Python, Java, C#, C/C++
 </li>
 <li>
 Test Automation (Pytest, Robot Framework, Playwright, Selenium)
 </li>
 <li>
 QA &amp; Test Management (Azure DevOps, CI/CD, Test Strategies)
 </li>
 </ul>
 
 
 
 
 
 Cloud &amp; Infrastructure:
 
 
 
 
 
 <ul>
 <li>
 Microsoft Azure (AI, Automation, Data Services)
 </li>
 <li>
 Amazon Web Services (AWS AI, Lambda, EC2)
 </li>
 <li>
 Cloud Integrations &amp; Deployment
 </li>
 <li>
 Consulting &amp; Project Management
 </li>
 <li>
 IT Project Management (Agile, Scrum, Kanban)
 </li>
 <li>
 Process Optimization &amp; Digital Transformation in SMEs
 </li>
 <li>
 Workshops, Trainings &amp; Coaching for AI Automation
 </li>
 <li>
 Stakeholder Management &amp; Change Management
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 
 
 
 <ul>
 <li>
 Intercultural Collaboration
 </li>
 <li>
 Structured &amp; Solution-Oriented Approach to Work
 </li>
 </ul>
 
 
 
 
 
 What you will be responsible for:
 
 
 
 
 
 <ul>
 <li>
 Model Security &amp; Hardening: adversarial training, gradient masking, model watermarking, integrity verification
 </li>
 <li>
 Privacy &amp; Data Protection: differential privacy, secure aggregation, federated learning, synthetic data
 </li>
 <li>
 MLOps &amp; Infrastructure: Kubernetes, Docker, MLflow, CI/CD for ML, Terraform, Vault
 </li>
 <li>
 Secure Deployment: encrypted inference, API gateway hardening, rate limiting, runtime monitors
 </li>
 <li>
 Threat Modeling &amp; Testing: ATT&amp;CK for ML mapping, red-team adversarial scenarios, prompt-injection testing
 </li>
 <li>
 Languages &amp; Frameworks: Python, Bash, Go, PyTorch, TensorFlow, Hugging Face Transformers, ONNX
 </li>
 <li>
 Cloud &amp; DevSecOps: AWS (SageMaker, ECR, IAM), Azure ML, GCP Vertex AI, GitHub Actions
 </li>
 <li>
 Monitoring &amp; Observability: Prometheus, Grafana, ELK Stack, model drift detection
 </li>
 </ul>
 
 
</div>

AI Security Engineer

Codvo.ai

<div><div><div>Job Description:Data Engineer (OT Data) (Category - Engineer)
Sector: Oil and Gas
Location: Doha, Qatar<div>
Experience - 10 years</div><div></div> 
About Us
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology. 
The Opportunity:
The Data Engineer will be a foundational architect of our delivery strategy, responsible for building and maintaining the data ecosystem required for our scoped-out use cases. You will be the crucial link between our vast, complex data sources and our advanced analytics ambitions. This involves tackling the unique challenges of the oil and gas sector, bridging the worlds of operational technology (OT)&mdash;with its real-time drilling data, SCADA systems, and seismic surveys&mdash;and information technology (IT). Your mission is to build the specific, high-performance data pipelines required to deliver our portfolio of projects. This means going beyond simple data movement; you will be creating reliable, scalable, and secure data products that serve as the fuel for our most critical AI models and analytics dashboards, directly enabling tangible business value and competitive advantage.<div></div> 
Key Responsibilities:<ul><li>Architect &amp; Build Data Pipelines: Design, construct, install, test, and maintain highly scalable data management systems and ETL/ELT pipelines.</li><li>Integrate Diverse Data Sources: Develop processes to ingest and integrate high-volume, high-velocity data from SCADA systems, historians (like OSIsoft PI, Aspen InfoPlus.21), DCS, PLC, and IoT sensors.</li><li>Cloud Data Platform Development: Implement and manage data solutions on the Microsoft Azure cloud platform, Leveraging services like Azure IoT Hub, Azure Event Hubs, and Azure Stream Analytics for real-time ingestion and processing of operational technology (OT) data.</li><li>Data Modelling &amp; Warehousing: Design and implement data models optimized for time-series data from industrial assets, supporting operational dashboards and real-time analytics.</li><li>Enable Advanced AI: Build the data infrastructure to support AI/ML models for predictive maintenance, operational anomaly detection, and process optimization using real-time OT data.</li><li>Champion Master Data Management (MDM): Design and implement MDM strategies and solutions to create a single, authoritative source of truth for critical data domains such as wells, equipment, and assets, ensuring data consistency across the enterprise.</li><li>Ensure Data Quality &amp; Governance: Implement robust data quality checks, validation rules, and monitoring to ensure the accuracy, consistency, and reliability of our data. Adhere to and help shape our data governance policies.</li><li>Embrace Industry Standards: Champion and implement industry-specific data standards and models, such as the OSDU&trade; Data Platform, to ensure interoperability and a unified data view across the upstream lifecycle.</li><li>Collaborate &amp; Innovate: Work closely with a cross-functional team of geoscientists, drilling engineers, data scientists, and business analysts to understand their data needs and deliver effective solutions.</li><li>Automate &amp; Optimize: Identify opportunities for process automation and infrastructure optimization to improve data delivery, scalability, and cost-effectiveness.</li><li>Security First: Implement and maintain security best practices to protect our sensitive and proprietary data assets.</li></ul> 
Required Skills and Qualifications:<ul><li>Bachelor's in engineering, Information Systems, or a related quantitative field.</li><li>5+ years of proven experience in a data engineering role.</li><li>Experience within oil and gas industry is highly preferred.</li><li>Demonstrable experience building and operationalizing large-scale data pipelines and applications.</li></ul> 
Technical Proficiencies:<ul><li> 
Expert-level proficiency in SQL and Python for data manipulation and pipeline development.</li><li>Big Data Technologies: Hands-on experience with distributed computing frameworks like Apache Spark (PySpark). Experience with streaming technologies like Kafka is a plus.</li><li>Cloud Platforms: Deep experience with Microsoft Azure (Azure Data Lake Storage, Azure Data Factory, Azure Databricks, Azure Synapse).</li><li>Data Warehousing/Lakehouse: Proven experience with modern data platforms Databricks Delta Lake.</li><li>AI &amp; ML Knowledge: Understanding of machine learning lifecycles and the data requirements for training and deploying AI/ML models.</li><li>Orchestration: Experience with workflow orchestration tools like Airflow, Dagster, or Azure Data Factory.</li><li>Databases: Strong understanding of both relational (e.g., PostgreSQL, SQL Server) and NoSQL databases. Experience with graph databases (e.g., Neo4j) and vector databases is highly desirable.</li><li>Version Control: Proficiency with Git and CI/CD best practices.</li></ul> 
Preferred Qualifications:<ul><li>Familiarity with historian systems (e.g., OSIsoft PI System) and their data structures.</li><li>Hands-on experience with the OSDU&trade; Data Platform.</li><li>Experience working with industrial communication protocols (e.g., OPC UA, Modbus TCP/IP).</li><li>Understanding of cybersecurity considerations for OT environments and data segregation.</li><li>Experience integrating data from ERP systems like SAP.</li><li>Professional certifications in Azure or Databricks.</li><li>Advanced SQL skills, including query optimization and performance tuning.</li><li>Knowledge of containerization technologies (Docker, Kubernetes).</li><li>Experience of constructing and maintaining enterprise knowledge graphs.</li></ul> 
Domain - Oil &amp; Gas
Location - Doha, Qatar</div></div></div>

Data Engineer Lead (OT Data)

Advanced Construction Technology Services

Key Responsibilities:<ul><li>Collect, clean, and preprocess large and complex datasets from multiple sources.</li><li>Perform exploratory data analysis (EDA) to identify patterns, trends, and insights.</li><li>Build and validate predictive and prescriptive models using statistical and machine learning techniques.</li><li>Visualize and communicate insights through dashboards, reports, and presentations.</li><li>Design, train, and deploy machine learning and deep learning models.</li><li>Collaborate with software engineers and data engineers to integrate AI models into products or systems.</li><li>Continuously evaluate and improve model accuracy, performance, and reliability.</li><li>Stay updated with the latest AI, data science, and related technologies developments.</li><li>Experiment with new tools, frameworks, and techniques to improve workflow efficiency.</li></ul>Qualifications and Skills:Education:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.</li></ul>Technical Skills:<ul><li>Proficiency in Python</li><li>Experience with SQL and NoSQL databases.</li><li>Strong knowledge of machine learning algorithms, deep learning architectures, and data preprocessing techniques.</li><li>Experience with data visualization tools (Power BI, Tableau, Plotly, etc.).</li></ul>Soft Skills:<ul><li>Strong analytical and problem-solving abilities.</li><li>Excellent communication and presentation skills.</li><li>Ability to work independently and collaboratively in cross-functional teams.</li><li>Attention to detail and commitment to quality.</li></ul>Preferred Experience:<ul><li>4 years of experience in data science, AI engineering, or applied machine learning roles.</li><li>Experience in a specific domain (Construction) is a plus.</li><li>Ready to start immediately</li></ul>Job Type: Full-time

AI Engineer

Capital Technology Solutions

Position: Robotics Software Engineer Experience: 5-8 Years Location: Doha, Qatar Company: Capital Technology Solutions (CTS)About CTSCapital Technology Solutions (CTS), part of the Capital Group, is a next-generation IT solutions company driving innovation across Cloud, Cybersecurity, Artificial Intelligence (AI), Robotic Process Automation (RPA), Data Analytics, and Robotics. CTS collaborates with global enterprises to deliver intelligent, secure, and data-driven business transformation solutions.Roles &amp; Responsibilities &ndash; Robotics Software Engineer (CTS Focus)<ul><li>Design and develop robotic control and automation software integrating motion, perception, and system intelligence for CTS&rsquo;s robotics initiatives.</li><li>Implement and maintain ROS/ROS2-based frameworks for communication, motion planning, and control in robotic platforms.</li><li>Develop AI-integrated robotic applications leveraging computer vision, edge processing, and real-time data analytics.</li><li>Configure and optimize Linux and Android environments for embedded and mobile robotic systems.</li><li>Collaborate with AI, Cloud, and Data teams to design robotics use cases aligned with CTS&rsquo;s solution portfolio.</li><li>Prototype and simulate robotic workflows using Gazebo, RViz, or MATLAB/Simulink for validation and performance tuning.</li><li>Integrate hardware components such as LiDAR, cameras, and sensors with microcontrollers and edge devices (e.g., Jetson, Raspberry Pi).</li><li>Support solution-based client projects by contributing to robotic automation concepts, demonstrations, and proof-of-value implementations.</li></ul>Education<ul><li>Bachelor&rsquo;s or Master&rsquo;s in Robotics, Computer Science, Electrical/Electronics, or Mechatronics Engineering</li></ul>Technical Skills<ul><li>Programming: C, C++, Python, Java, Embedded Programming</li><li>Robotics Frameworks: ROS/ROS2</li><li>Operating Systems: Linux administration (Ubuntu, Yocto, Kernel basics)</li><li>Mobile/Edge OS: Android development (AOSP, NDK)</li><li>Control Systems: Kinematics, Motion Planning, PID control</li><li>Middleware &amp; Networking: DDS, MQTT, CAN, UART, SPI, I2C</li><li>Real-Time Systems: RTOS, Real-time Linux patches</li><li>AI/Computer Vision (Optional): OpenCV, TensorRT, AI deployment</li><li>Simulation Tools: Gazebo, RViz, Unity, MATLAB/Simulink</li></ul>Hardware Knowledge<ul><li>Microcontrollers (ARM, STM32)</li><li>Single-board computers (NVIDIA Jetson, Raspberry Pi)</li><li>Sensors: LiDAR, IMU, depth cameras, ultrasonic</li><li>Motor drivers, servo control</li></ul>Software Engineering Practices<ul><li>Git, CI/CD, DevOps workflows</li><li>Unit testing and debugging robotics systems</li></ul>Linux Robotics Expertise<ul><li>Linux kernel cross&#8209;compiling</li><li>Device drivers' fundamentals</li><li>System tuning &amp; shell scripting</li><li>Docker on edge devices</li></ul>Android Robotics Expertise<ul><li>Android architecture for robotics</li><li>Custom Android app development for robot control</li><li>Camera &amp; sensor integration with Android</li><li>JNI/NDK development for performance</li></ul>Professional Qualities<ul><li>Strong problem&#8209;solving in real&#8209;time environments</li><li>Ability to work with multidisciplinary engineering teams</li><li>Knowledge of safety &amp; industrial standards</li></ul>Bonus Certifications<ul><li>ROS Certification &ndash; Robotics software specialization</li><li>Linux Foundation Certifications &ndash; Strong Linux expertise</li><li>NVIDIA Jetson AI Certification &ndash; AI&#8209;powered robotics</li><li>Android Developer Certification &ndash; Embedded/mobile development</li></ul>Why Join CTS?<ul><li>Be part of a forward-looking technology company focused on innovation across digital domains.</li><li>Work closely with Cloud, AI, RPA, and Cybersecurity experts to design transformative solutions.</li><li>Opportunity to contribute creatively to strategic presentations and solution frameworks.</li><li>Competitive compensation, growth opportunities, and collaborative work culture.</li></ul>How to Apply Interested candidates may send their CV with their recent picture and date of birth, and design portfolio to info@capitaltechnologysolutions.com with the subject line: Job Application &ndash; Robotics Software EngineerJob Types: Full-time, Permanent

Robotics Software Engineer

Scale AI

<div>
 Scale&rsquo;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:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for custom LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 As a Software Engineer (Forward Deployed), you&rsquo;ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications to solve their most pressing challenges and achieve meaningful impact for citizens.
 
 
 At Scale, we&rsquo;re not just building AI solutions&mdash;we&rsquo;re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a founding member of our team, we&rsquo;d love to hear from you.
 
 
 
 You will:
 
 
 
 <ul>
 <li>
 Partner with public sector clients to deeply understand their challenges and define AI-driven solutions
 </li>
 <li>
 Scope and implement comprehensive solutions to ambiguous customer problems
 </li>
 <li>
 Build and maintain end-to-end web applications using modern frameworks and technologies.
 </li>
 <li>
 Leverage database systems to manage and query data efficiently
 </li>
 <li>
 Deploy and manage infrastructure on cloud service environments for scalability and reliability
 </li>
 <li>
 Build customer facing products and integrate with AI models to deliver intelligent and interactive user experiences
 </li>
 <li>
 Work cross-functionally with design, product, and data teams to create robust applications
 </li>
 <li>
 Spend significant time onsite with clients, including traveling up to 1-2 weeks per month as needed
 
 
 </li>
 </ul>
 
 Ideally you&rsquo;d have:
 
 
 
 <ul>
 <li>
 A strong engineering background, with a Bachelor&rsquo;s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
 </li>
 <li>
 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in Python, Node, React, Next.js, TypeScript/JavaScript, or similar
 </li>
 <li>
 Can-do attitude with a good handle on infrastructure and system design
 </li>
 <li>
 Experience working directly with customers and within customer infrastructure
 
 
 </li>
 </ul>
 
 Nice to haves:
 
 
 
 <ul>
 <li>
 Proficient in Arabic
 </li>
 <li>
 Past experience working at a startup as a CTO or founding engineer or in a forward deployed engineer / dedicated customer engineer role
 </li>
 <li>
 Experience working cross functionally with operations
 </li>
 <li>
 Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape
 
 
 </li>
 </ul>
 
 
 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 accommodations@scale.com. 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&rsquo; 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.
 
</div>

Software Engineer (Forward Deployed), International Public Sector

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