planning engineer

civil engineer

project engineer

engineer i

chief engineer

ai engineer

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

Microsoft

<div>
 Are you insatiably curious, deeply passionate about the realm of databases and analytics, and ready to tackle complex challenges in a dynamic environment in the era of AI? If so, we invite you to join our team as a Cloud &amp; AI Solution Engineer in Data Platform for
 
 Enterprise customers
 
 at Microsoft. Here, you'll be at the forefront of innovation, working on cutting-edge projects that leverage the latest technologies to drive meaningful impact. Join us and be part of a team that thrives on collaboration, creativity, and continuous learning.
 
 
 Databases &amp; Analytics is a growth opportunity for Microsoft Azure, as well as its partners and customers. It includes a rich portfolio of products including IaaS and PaaS services on the Azure Platform in the age of AI. These technologies empower customers to build, deploy, and manage database and analytics applications in a cloud-native way.
 
 
 As an
 
 Data Platform
 
 
 Solution Engineer
 
 , you will play a pivotal role in helping enterprises unlock the full potential of Microsoft&rsquo;s cloud database and analytics stack across every stage of deployment. You&rsquo;ll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You&rsquo;ll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you&rsquo;ll help customers modernize their data platform and realize the full value of Microsoft&rsquo;s platform, all while enjoying flexible work opportunities.
 
 
 As a trusted technical advisor, you&rsquo;ll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you&rsquo;ll help customers modernize their data platform and realize the full value of Microsoft&rsquo;s platform.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
 </li>
 <li>
 Lead hands-on engagements&mdash;hackathons and architecture workshops&mdash;to accelerate adoption of Microsoft&rsquo;s cloud platforms.
 </li>
 <li>
 Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions
 </li>
 <li>
 Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
 </li>
 <li>
 Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
 </li>
 <li>
 Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop &amp; BI solutions.
 </li>
 <li>
 Represent Microsoft through thought leadership in cloud Database &amp; Analytics communities and customer forums
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications (RQs):
 
 
 
 <ul>
 <li>
 5+ years technical pre-sales or technical consulting experience
 </li>
 <ul>
 <li>
 OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience
 </li>
 <li>
 OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience
 </li>
 <li>
 OR equivalent experience
 </li>
 </ul>
 <li>
 Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration &amp; modernize and creating new AI apps.
 </li>
 <li>
 Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security &amp; Governance.
 </li>
 <li>
 Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.
 
 </li>
 </ul>
 
 Preferred Qualifications (PQs)
 
 
 
 <ul>
 <li>
 6+ years technical pre-sales, technical consulting, or technology delivery, or related experience
 </li>
 <ul>
 <li>
 OR equivalent experience
 </li>
 </ul>
 <li>
 4+ years experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management
 </li>
 <li>
 Proficient on data warehouse &amp; big data migration including on-prem appliance (Teradata, Netezza, Oracle), Hadoop (Cloudera, Hortonworks) and Azure Synapse Gen2.
 
 </li>
 </ul>
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Cloud & AI Solution Engineer - Data Platform

<div><div>Are you insatiably curious, deeply passionate about the realm of databases and analytics, and ready to tackle complex challenges in a dynamic environment in the era of AI? If so, we invite you to join our team as a Cloud &amp; AI Solution Engineer in Data Platform for Enterprise customers at Microsoft. Here, you'll be at the forefront of innovation, working on cutting-edge projects that leverage the latest technologies to drive meaningful impact. Join us and be part of a team that thrives on collaboration, creativity, and continuous learning.</div><div>
Databases &amp; Analytics is a growth opportunity for Microsoft Azure, as well as its partners and customers. It includes a rich portfolio of products including IaaS and PaaS services on the Azure Platform in the age of AI. These technologies empower customers to build, deploy, and manage database and analytics applications in a cloud-native way.</div><div></div><div> 
As an Data Platform Solution Engineer, you will play a pivotal role in helping enterprises unlock the full potential of Microsoft&rsquo;s cloud database and analytics stack across every stage of deployment. You&rsquo;ll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You&rsquo;ll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you&rsquo;ll help customers modernize their data platform and realize the full value of Microsoft&rsquo;s platform, all while enjoying flexible work opportunities.</div><div></div><div> 
As a trusted technical advisor, you&rsquo;ll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you&rsquo;ll help customers modernize their data platform and realize the full value of Microsoft&rsquo;s platform.</div><div></div><div> 
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</div><h2 class="jobSectionHeader">
Responsibilities</h2><ul><li>
Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.</li><li>
Lead hands-on engagements&mdash;hackathons and architecture workshops&mdash;to accelerate adoption of Microsoft&rsquo;s cloud platforms.</li><li>
Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions</li><li>
Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.</li><li>
Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.</li><li>
Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop &amp; BI solutions.</li><li>
Represent Microsoft through thought leadership in cloud Database &amp; Analytics communities and customer forums</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><div>
Required Qualifications (RQs):</div><ul><li>
5+ years technical pre-sales or technical consulting experience<ul><li>
OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience</li><li>
OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience</li><li>
OR equivalent experience</li></ul></li><li>
Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration &amp; modernize and creating new AI apps.</li><li>
Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security &amp; Governance.</li><li>
Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.</li></ul><div>
Preferred Qualifications (PQs):</div><ul><li>
6+ years technical pre-sales, technical consulting, or technology delivery, or related experience<ul><li>
OR equivalent experience</li></ul></li><li>
4+ years experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management</li><li>
Proficient on data warehouse &amp; big data migration including on-prem appliance (Teradata, Netezza, Oracle), Hadoop (Cloudera, Hortonworks) and Azure Synapse Gen2.</li></ul> 
<div></div>
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

INFRA ASSURE

Job SummaryWe are seeking a highly experienced Generative AI &amp; Data Science Engineer to lead the design, development, and deployment of cutting-edge AI-driven solutions. The ideal candidate will have deep technical expertise in Azure OpenAI, Azure AI Services, machine learning, and advanced analytics, with a proven track record of building intelligent, scalable systems for enterprise and financial use cases.Key Responsibilities<ul><li>Design and implement Generative AI applications leveraging Azure OpenAI and Azure AI Foundry services.</li><li>Develop and integrate RAG (Retrieval-Augmented Generation) pipelines using vector databases, text vectorization, and embedding models.</li><li>Build and optimize end-to-end machine learning pipelines including data ingestion, preprocessing, model training, deployment, and monitoring.</li><li>Apply Agentic frameworks such as LangChain, CrewAI, A2A, or similar to build multi-agent reasoning systems.</li><li>Implement predictive analytics and ML models focused on financial services, including risk modeling, forecasting, anomaly detection, and data-driven decision support.</li><li>Collaborate closely with business stakeholders to translate analytical insights into actionable strategies.</li><li>Ensure scalability, performance, and cost-efficiency of deployed AI solutions within Azure Cloud environments.</li><li>Research and evaluate emerging AI tools, LLM-based frameworks, and MLOps best practices.</li><li>Lead and mentor junior data scientists and AI engineers in solution development and architectural design.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>What is your native language?</li></ul>Experience:<ul><li>Gen Al &amp; Data Science Engineer: 10 years (Preferred)</li></ul>

Gen Al & Data Science Engineer

Aalco Group

<ul><li>Bachelor&rsquo;s Degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field.</li><li>2&ndash;3 years of experience in AI development, data analytics, or related projects.</li><li>Proficiency in Python.</li><li>Experience with machine learning libraries and frameworks</li><li>Familiarity with cloud-based AI platforms</li><li>Basic knowledge of data visualization tools.</li><li>Understanding of prompt engineering and large language model (LLM) concepts.</li></ul>Preferred Skills:<ul><li>Hands-on experience with generative AI tools</li><li>Familiarity with AI-powered automation tools.</li><li>Knowledge of data processing tools.</li><li>Awareness of ethical AI, privacy, and security principles.</li><li>Exposure to MLOps practices is an advantage.</li></ul>Job Type: Full-time

AI Solutions Specialist

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 national LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 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&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 counterparts to deeply understand their challenges
 </li>
 <li>
 Apply the latest research as you design custom models or chains of models
 </li>
 <li>
 Collaborate closely with our data annotation teams to create high-quality training datasets
 </li>
 <li>
 Train, optimize, and deploy models into challenging production environments
 </li>
 <li>
 Develop and maintain robust evaluation systems
 </li>
 <li>
 Participate in customer engagements, including occasional travel (approximately one week per quarter)
 </li>
 <li>
 Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing
 
 
 </li>
 </ul>
 
 Ideally, you&rsquo;d have:
 
 
 
 <ul>
 <li>
 5+ years of computer vision and/or language model training, deployment, evaluation, and maintenance experience in a production environment
 </li>
 <li>
 Master&rsquo;s or equivalent work experience
 </li>
 <li>
 Software engineering experience with demonstrated proficiency in Python, TypeScript/JavaScript, C++ or similar
 
 
 </li>
 </ul>
 
 Nice to haves:
 
 
 
 <ul>
 <li>
 Experience working at a startup
 </li>
 <li>
 Experience dealing with large-scale AI problems
 </li>
 <li>
 Strong written and verbal communication skills to operate in a cross-functional team environment
 </li>
 <li>
 Proficiency in Arabic (if focused on language models)
 </li>
 <li>
 Published research in areas of machine learning at significant conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals.
 
 
 </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>

Machine Learning Engineer, International Public Sector

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 and design portfolio to info@capitaltechnologysolutions.com with the subject line: Job Application &ndash; Robotics Software EngineerJob Types: Full-time, Permanent

Robotics Software Engineer

Explore 677+ Ai engineer in Qatar this November. Find roles across top companies and apply now to boost your career.

677 ai engineer jobs IN Qatar

AI Engineer

Cloud & AI Solution Engineer - Data Platform

Cloud & AI Solution Engineer - Data Platform

Gen Al & Data Science Engineer

AI Solutions Specialist

Machine Learning Engineer, International Public Sector

Robotics Software Engineer