TensorFlow Jobs in Qatar

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Parsons is seeking a <strong>Programmer (AI/ML)</strong> to support the end-to-end delivery of a large-scale Geospatial Digital Twin programme for a major national infrastructure owner in the Middle East. This multi-year initiative will design, build, and operationalize an Operational Digital Twin platform that integrates geospatial data, real-time IoT/SCADA feeds, asset information, and core enterprise systems to enable data-driven planning, operations, and maintenance. The role will work closely with the Software Development Lead, Data &amp; Architecture team, and a team of international experts, developers, and engineers.</p> <p>The scope spans discovery and stakeholder engagement, analytical use case design, proof-of-concept delivery, implementation of a production-grade environment, post-implementation support, and structured training and knowledge transfer. The Programmer (AI/ML) will help design and implement analytical and machine-learning components, support data preparation and feature engineering, contribute to testing and performance tuning of models and services, and assist in ensuring that AI/ML capabilities are robust, explainable, and aligned with key Digital Twin use cases.</p> <p><strong>What You ll Be Doing</strong></p> <ul> <li><p>Support the Software Development Lead and Data &amp; Architecture team in designing and implementing AI/ML components for the Operational Digital Twin across discovery, PoC, implementation, and post implementation support phases.</p></li> <li><p>Assist in preparing and transforming data for modelling (including cleaning, joining, aggregating, and feature engineering) using structured, time series, and geospatial datasets.</p></li> <li><p>Develop an AI-powered knowledge and query assistant leveraging large language models and a retrieval augmented generation engine.</p></li> <li><p>Help develop, train, and validate AI/ML models (e.g. for prediction, classification, anomaly detection, optimisation, or forecasting) using agreed tools, libraries, and frameworks.</p></li> <li><p>Develop and deploy trained models as scalable services or microservices, integrating them with the Digital Twin platform and upstream/downstream applications and APIs.</p></li> <li><p>Assist in implementing monitoring, performance tracking, and periodic retraining processes for models, and in troubleshooting issues related to data drifts, accuracy, or stability.</p></li> <li><p>Help document AI/ML components, including data assumptions, model choices, limitations, and usage guidelines, and support knowledge transfer and handover to client and operations teams.</p></li> </ul> <p><strong>What Required Skills You ll Bring</strong></p> <ul> <li><p>Degree in computer science, data science, engineering, mathematics, or a related technical discipline from an accredited institution.</p></li> <li><p>Experience developing AI/ML solutions using languages and libraries such as Python, Pandas, NumPy, scikit-learn, and deep learning frameworks (e.g., TensorFlow and PyTorch).</p></li> <li><p>Working knowledge of core machine learning concepts (feature engineering, model selection, training/validation, overfitting, evaluation metrics) and basic statistics.</p></li> <li><p>Experience with data preparation and handling of large or complex datasets, ideally including time series, sensor, or geospatial data.</p></li> <li><p>Familiarity with geospatial platforms (e.g., Esri ArcGIS) and using spatial data as features in analytical models.</p></li> <li><p>Exposure to deploying models to production (e.g., as APIs, batch jobs, or streaming components) and to integrating them with applications or data platforms.</p></li> <li><p>Experience working within multidisciplinary, multinational teams across multiple time zones.</p></li> <li><p>Strong organisational and coordination skills, with some experience in structured project or delivery environments (e.g., PMI, PRINCE2, Agile/Hybrid).</p></li> <li><p>Exposure to testing, acceptance, or go live activities for analytical or data driven solutions.</p></li> <li><p>Excellent communication and documentation skills, with the ability to clearly explain data, models, and results to non technical stakeholders.</p></li> <li><p>Fluency in spoken and written English; Arabic language skills are a strong advantage.</p></li> </ul> <p><strong>What Desired Skills You ll Bring</strong></p> <ul> <li><p>Prior work with national infrastructure owners, transport authorities, utilities, or public works organisations.</p></li> <li><p>Experience applying AI/ML in Digital Twin, smart city, asset management, or operations optimisation contexts.</p></li> <li><p>Experience working with cloud platforms (e.g., Azure, AWS) and modern data/ML tooling (e.g., MLflow, Databricks, Azure ML, or similar).</p></li> <li><p>Professional certifications in data science, machine learning, or cloud data/AI services.</p></li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Degree in computer science, data science, engineering, mathematics, or a related technical discipline from an accredited institution.</p> <p>Experience developing AI/ML solutions using languages and libraries such as Python, Pandas, NumPy, scikit-learn, and deep learning frameworks (e.g., TensorFlow and PyTorch).</p> <p>Working knowledge of core machine learning concepts (feature engineering, model selection, training/validation, overfitting, evaluation metrics) and basic statistics.</p> <p>Experience with data preparation and handling of large or complex datasets, ideally including time series, sensor, or geospatial data.</p> <p>Familiarity with geospatial platforms (e.g., Esri ArcGIS) and using spatial data as features in analytical models.</p> <p>Exposure to deploying models to production (e.g., as APIs, batch jobs, or streaming components) and to integrating them with applications or data platforms.</p> <p>Experience working within multidisciplinary, multinational teams across multiple time zones.</p> <p>Strong organisational and coordination skills, with some experience in structured project or delivery environments (e.g., PMI, PRINCE2, Agile/Hybrid).</p> <p>Exposure to testing, acceptance, or go live activities for analytical or data driven solutions.</p> <p>Excellent communication and documentation skills, with the ability to clearly explain data, models, and results to non technical stakeholders.</p> <p>Fluency in spoken and written English; Arabic language skills are a strong advantage.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Job Description</b><br>Develop enterprise digital transformation strategies and deliver enterprise solutions by combining cloud modernization, AI adoption, data-driven solutions, process automation, enterprise system integration, and modern application architecture. Lead the design and implementation of scalable, secure, and production-ready platforms using Azure, AWS, Generative AI, machine learning, and DevOps practices. The role includes defining technology roadmaps, modernizing enterprise applications, integrating AI into business processes, leading cloud migration initiatives, integrating enterprise platforms and third-party systems, and enabling innovation through secure, scalable, and high-impact digital solutions.<br>Key Skills:<br>1- Digital Transformation: Digital transformation strategy, technology roadmap development, business process modernization, enterprise application modernization, cloud adoption planning, AI adoption strategy, and digital innovation delivery.<br>2- Cloud &amp; Enterprise Architecture: Azure cloud architecture, AWS cloud services, Azure PaaS/IaaS, microservices, event-driven architecture, service-oriented architecture, scalable system design, high-availability architecture, and enterprise integration.<br>3- Artificial Intelligence &amp; Generative AI: Azure OpenAI, Generative AI, LLMs, RAG, Agentic RAG, multi-agent systems, Semantic Kernel, LangChain, LangGraph, prompt engineering, vector search, Azure AI Search, FAISS, and AI-powered enterprise assistants.<br>4- Data, Machine Learning &amp; Analytics: Azure Machine Learning, AWS SageMaker, Python, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, data science, NLP, deep learning, Power BI, SQL Server, Cosmos DB, and data-driven decision support.<br>5- DevOps, Automation &amp; Cloud Delivery: Azure DevOps, CI/CD pipelines, Terraform, Docker, Kubernetes, AKS, Jenkins, infrastructure as code, cloud deployment automation, monitoring, and application performance management.<br>6- Software Engineering &amp; Integration: .NET Core, C#, ASP.NET Web APIs, React, TypeScript, JavaScript, REST APIs, SQL Server, SharePoint, Power Apps, Power Automate, Nintex, ERP integration, third-party system integration, API integration, and enterprise platform integration.<br>7- Communication &amp; Leadership: Bilingual communication in Arabic and English, solution architecture leadership, technical team leadership, stakeholder engagement, proof of concepts, technical mentoring, Agile delivery, PMP practices, and end-to-end solution delivery.<br><br><br><b>Qualifications</b><br>• Must have a Bachelor's degree in Technology or any related field. <br>• Must have 15+ years in software engineering, solution architecture, cloud architecture, or digital transformation.<br>• Must have hands-on experience delivering Azure-based cloud solutions, enterprise AI initiatives, application modernization programs, and large-scale digital transformation projects.<br>• Proven experience in leading digital transformation projects in the infrastructure sector or similar<br>• Good communication and interpersonal skills, with the ability to build and maintain strong relationships with stakeholders at all levels.<br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><strong>Requisition Number:</strong> 24379BR<br><strong>Description:</strong><br>Develop enterprise digital transformation strategies and deliver enterprise solutions by combining cloud modernization, AI adoption, data-driven solutions, process automation, enterprise system integration, and modern application architecture. Lead the design and implementation of scalable, secure, and production-ready platforms using Azure, AWS, Generative AI, machine learning, and DevOps practices. The role includes defining technology roadmaps, modernizing enterprise applications, integrating AI into business processes, leading cloud migration initiatives, integrating enterprise platforms and third-party systems, and enabling innovation through secure, scalable, and high-impact digital solutions.<br>Key Skills:<br>1- Digital Transformation: Digital transformation strategy, technology roadmap development, business process modernization, enterprise application modernization, cloud adoption planning, AI adoption strategy, and digital innovation delivery.<br>2- Cloud &amp; Enterprise Architecture: Azure cloud architecture, AWS cloud services, Azure PaaS/IaaS, microservices, event-driven architecture, service-oriented architecture, scalable system design, high-availability architecture, and enterprise integration.<br>3- Artificial Intelligence &amp; Generative AI: Azure OpenAI, Generative AI, LLMs, RAG, Agentic RAG, multi-agent systems, Semantic Kernel, LangChain, LangGraph, prompt engineering, vector search, Azure AI Search, FAISS, and AI-powered enterprise assistants.<br>4- Data, Machine Learning &amp; Analytics: Azure Machine Learning, AWS SageMaker, Python, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, data science, NLP, deep learning, Power BI, SQL Server, Cosmos DB, and data-driven decision support.<br>5- DevOps, Automation &amp; Cloud Delivery: Azure DevOps, CI/CD pipelines, Terraform, Docker, Kubernetes, AKS, Jenkins, infrastructure as code, cloud deployment automation, monitoring, and application performance management.<br>6- Software Engineering &amp; Integration: .NET Core, C#, ASP.NET Web APIs, React, TypeScript, JavaScript, REST APIs, SQL Server, SharePoint, Power Apps, Power Automate, Nintex, ERP integration, third-party system integration, API integration, and enterprise platform integration.<br>7- Communication &amp; Leadership: Bilingual communication in Arabic and English, solution architecture leadership, technical team leadership, stakeholder engagement, proof of concepts, technical mentoring, Agile delivery, PMP practices, and end-to-end solution delivery.<br><strong>Qualifications:</strong><br>• Must have a Bachelor's degree in Technology or any related field.<br>• Must have 15+ years in software engineering, solution architecture, cloud architecture, or digital transformation.<br>• Must have hands-on experience delivering Azure-based cloud solutions, enterprise AI initiatives, application modernization programs, and large-scale digital transformation projects.<br>• Proven experience in leading digital transformation projects in the infrastructure sector or similar<br>• Good communication and interpersonal skills, with the ability to build and maintain strong relationships with stakeholders at all levels.<br><strong>About Stantec:</strong><br>We’re active members of the communities we serve. That’s why at Stantec we always design with community in mind. We believe growing a great design company happens from the inside out. We look for people who are drawn to use every talent they possess, plus creativity, determination and a drive to do the extraordinary.<br>The Stantec community unites approximately 22,000 employees working in over 400 locations across six continents. We collaborate across disciplines and industries to bring projects to life. Our work as architects, engineers, and consultants from initial project concept and planning through design, construction and commissioning is built on a solid history of success. So, when we take on a project, we see the opportunity to make a lasting connection with the people and places where we live and work. Redefine your personal best. Join us!<br><strong>Work Location(s):Qatar-Doha</strong><br><strong>Employment Type:</strong> <strong>Full-Time</strong><br><strong>Job Type:</strong> <strong>Regular</strong><br><strong>Job Category:</strong> <strong>Consulting, IT/IS, Software Development</strong></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><strong>Requisition Number:</strong> 24379BR<br><strong>Description:</strong><br>Develop enterprise digital transformation strategies and deliver enterprise solutions by combining cloud modernization, AI adoption, data-driven solutions, process automation, enterprise system integration, and modern application architecture. Lead the design and implementation of scalable, secure, and production-ready platforms using Azure, AWS, Generative AI, machine learning, and DevOps practices. The role includes defining technology roadmaps, modernizing enterprise applications, integrating AI into business processes, leading cloud migration initiatives, integrating enterprise platforms and third-party systems, and enabling innovation through secure, scalable, and high-impact digital solutions.<br>Key Skills:<br>1- Digital Transformation: Digital transformation strategy, technology roadmap development, business process modernization, enterprise application modernization, cloud adoption planning, AI adoption strategy, and digital innovation delivery.<br>2- Cloud &amp; Enterprise Architecture: Azure cloud architecture, AWS cloud services, Azure PaaS/IaaS, microservices, event-driven architecture, service-oriented architecture, scalable system design, high-availability architecture, and enterprise integration.<br>3- Artificial Intelligence &amp; Generative AI: Azure OpenAI, Generative AI, LLMs, RAG, Agentic RAG, multi-agent systems, Semantic Kernel, LangChain, LangGraph, prompt engineering, vector search, Azure AI Search, FAISS, and AI-powered enterprise assistants.<br>4- Data, Machine Learning &amp; Analytics: Azure Machine Learning, AWS SageMaker, Python, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, data science, NLP, deep learning, Power BI, SQL Server, Cosmos DB, and data-driven decision support.<br>5- DevOps, Automation &amp; Cloud Delivery: Azure DevOps, CI/CD pipelines, Terraform, Docker, Kubernetes, AKS, Jenkins, infrastructure as code, cloud deployment automation, monitoring, and application performance management.<br>6- Software Engineering &amp; Integration: .NET Core, C#, ASP.NET Web APIs, React, TypeScript, JavaScript, REST APIs, SQL Server, SharePoint, Power Apps, Power Automate, Nintex, ERP integration, third-party system integration, API integration, and enterprise platform integration.<br>7- Communication &amp; Leadership: Bilingual communication in Arabic and English, solution architecture leadership, technical team leadership, stakeholder engagement, proof of concepts, technical mentoring, Agile delivery, PMP practices, and end-to-end solution delivery.<br><strong>Qualifications:</strong><br>• Must have a Bachelor's degree in Technology or any related field.<br>• Must have 15+ years in software engineering, solution architecture, cloud architecture, or digital transformation.<br>• Must have hands-on experience delivering Azure-based cloud solutions, enterprise AI initiatives, application modernization programs, and large-scale digital transformation projects.<br>• Proven experience in leading digital transformation projects in the infrastructure sector or similar<br>• Good communication and interpersonal skills, with the ability to build and maintain strong relationships with stakeholders at all levels.<br><strong>About Stantec:</strong><br>We’re active members of the communities we serve. That’s why at Stantec we always design with community in mind. We believe growing a great design company happens from the inside out. We look for people who are drawn to use every talent they possess, plus creativity, determination and a drive to do the extraordinary.<br>The Stantec community unites approximately 22,000 employees working in over 400 locations across six continents. We collaborate across disciplines and industries to bring projects to life. Our work as architects, engineers, and consultants from initial project concept and planning through design, construction and commissioning is built on a solid history of success. So, when we take on a project, we see the opportunity to make a lasting connection with the people and places where we live and work. Redefine your personal best. Join us!<br><strong>Work Location(s):Qatar-Doha</strong><br><strong>Employment Type:</strong> <strong>Full-Time</strong><br><strong>Job Type:</strong> <strong>Regular</strong><br><strong>Job Category:</strong> <strong>Consulting, IT/IS, Software Development</strong></span> </div>