Cost Engineer Jobs in UAE

Role: CAD Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $100/hour<br>Role Overview:We are hiring for one of our clients, seeking a Senior Free CAD Mechanical Engineer to work on a contract basis. The role involves designing and optimizing mechanical components and assemblies using Free CAD, ensuring manufacturability and adherence to engineering standards. Candidates will collaborate with cross-functional teams to deliver high-quality technical solutions for complex projects.<br>Key Responsibilities:• Develop and modify 3D mechanical models and assemblies in Free CAD for engineering projects.• Perform detailed design reviews to identify and resolve potential issues in mechanical components.• Generate and maintain technical documentation, including drawings, specifications, and BOMs.• Optimize designs for performance, cost, and manufacturability while ensuring compliance with industry standards.• Work closely with manufacturing and engineering teams to validate designs and incorporate feedback.<br>Required Skills & Qualifications:• Proficiency in Free CAD for parametric modeling and assembly design is required.• Experience with mechanical engineering principles and manufacturing processes is required.• Ability to interpret technical drawings and specifications is required.• Strong problem-solving skills with attention to detail are required.• Experience with CAD collaboration tools and version control systems is preferred.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | IT Services and IT Consulting | Engineering Services industry, contributing to the development of advanced mechanical solutions for diverse applications. The project involves creating scalable and efficient designs for client-specific requirements.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: AWS Engineer - Cloud (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $80/hour<br>Role Overview:We are hiring for one of our clients, seeking an AWS Engineer to design, deploy, and manage scalable cloud infrastructure supporting high-traffic applications. The role involves optimizing AWS services for performance, cost, and security while collaborating with cross-functional teams to implement solutions.<br>Key Responsibilities:• Design, configure, and maintain AWS infrastructure including EC2, S3, RDS, Lambda, and VPC.• Implement CI/CD pipelines using AWS Code Pipeline, Code Build, and Code Deploy for automated deployments.• Monitor system performance using Cloud Watch, Cloud Trail, and third-party tools to ensure uptime and reliability.• Troubleshoot and resolve incidents related to AWS services, networking, and security configurations.• Document infrastructure, processes, and best practices for team knowledge sharing and compliance.<br>Required Skills & Qualifications:• AWS Certified Solutions Architect or equivalent hands-on experience with AWS services.• Proficiency in Infrastructure as Code (IaC) using Terraform or AWS Cloud Formation.• Experience with Linux/Unix environments and shell scripting for automation tasks.• Knowledge of security best practices, IAM policies, and compliance frameworks.• Familiarity with containerization technologies such as Docker and Kubernetes on AWS.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | IT Services and IT Consulting industry, contributing to the modernization of cloud infrastructure. The position supports scalable, high-performance systems critical to business operations.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Job Title: Senior Procurement Engineer – Dubai, UAE<br>Company: Shafa Group Location: Dubai, UAE<br>Job Overview:We are looking for an experienced Senior Procurement Engineer to join our team in Dubai. The ideal candidate should have strong procurement experience in large-scale building construction and residential villa projects, with excellent knowledge of the GCC construction market, preferably UAE experience.<br>Requirements:<br>Minimum 10–15 years of experience in Procurement within the construction industry. GCC experience is mandatory; UAE experience is highly preferred. Must have proven experience in mega building construction projects and luxury residential villa projects. Strong knowledge of construction materials, suppliers, subcontractors, and market rates. Experience in vendor management, supplier negotiations, cost optimization, and procurement planning. Ability to manage end-to-end procurement activities for large-scale projects. Immediate joiners preferred; candidates with a notice period of up to 30 days may also be considered. Bachelor’s Degree in Civil Engineering (B. E / B. Tech Civil) is mandatory.<br>Key Responsibilities:Manage procurement activities from RFQ stage to final delivery. Source and evaluate suppliers, negotiate prices, and ensure timely material availability. Prepare procurement plans aligned with project requirements and schedules. Review technical specifications, BOQs, and material requirements. Maintain strong relationships with suppliers and subcontractors. Ensure compliance with project specifications, quality standards, and company policies. Monitor procurement progress and coordinate with project teams.<br>Candidate Profile:<br>Candidates with extensive experience in high-value building construction projects, luxury villas, and major residential developments are encouraged to apply. Job Location: Dubai, UAE<br>Availability: Immediate joiners preferred / Maximum 30 days notice period.

Job Title: Senior Procurement Engineer – Dubai, UAE<br>Company: Shafa Group Location: Dubai, UAE<br>Job Overview:We are looking for an experienced Senior Procurement Engineer to join our team in Dubai. The ideal candidate should have strong procurement experience in large-scale building construction and residential villa projects, with excellent knowledge of the GCC construction market, preferably UAE experience.<br>Requirements:<br>Minimum 10–15 years of experience in Procurement within the construction industry. GCC experience is mandatory; UAE experience is highly preferred. Must have proven experience in mega building construction projects and luxury residential villa projects. Strong knowledge of construction materials, suppliers, subcontractors, and market rates. Experience in vendor management, supplier negotiations, cost optimization, and procurement planning. Ability to manage end-to-end procurement activities for large-scale projects. Immediate joiners preferred; candidates with a notice period of up to 30 days may also be considered. Bachelor’s Degree in Civil Engineering (B. E / B. Tech Civil) is mandatory.<br>Key Responsibilities:Manage procurement activities from RFQ stage to final delivery. Source and evaluate suppliers, negotiate prices, and ensure timely material availability. Prepare procurement plans aligned with project requirements and schedules. Review technical specifications, BOQs, and material requirements. Maintain strong relationships with suppliers and subcontractors. Ensure compliance with project specifications, quality standards, and company policies. Monitor procurement progress and coordinate with project teams.<br>Candidate Profile:<br>Candidates with extensive experience in high-value building construction projects, luxury villas, and major residential developments are encouraged to apply. Job Location: Dubai, UAE<br>Availability: Immediate joiners preferred / Maximum 30 days notice period.

Role: AWS Engineer - Cloud (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $80/hour<br>Role Overview:We are hiring for one of our clients, seeking an AWS Engineer to design, deploy, and manage scalable cloud infrastructure supporting high-traffic applications. The role involves optimizing AWS services for performance, cost, and security while collaborating with cross-functional teams to implement solutions.<br>Key Responsibilities:• Design, configure, and maintain AWS infrastructure including EC2, S3, RDS, Lambda, and VPC.• Implement CI/CD pipelines using AWS Code Pipeline, Code Build, and Code Deploy for automated deployments.• Monitor system performance using Cloud Watch, Cloud Trail, and third-party tools to ensure uptime and reliability.• Troubleshoot and resolve incidents related to AWS services, networking, and security configurations.• Document infrastructure, processes, and best practices for team knowledge sharing and compliance.<br>Required Skills & Qualifications:• AWS Certified Solutions Architect or equivalent hands-on experience with AWS services.• Proficiency in Infrastructure as Code (IaC) using Terraform or AWS Cloud Formation.• Experience with Linux/Unix environments and shell scripting for automation tasks.• Knowledge of security best practices, IAM policies, and compliance frameworks.• Familiarity with containerization technologies such as Docker and Kubernetes on AWS.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | IT Services and IT Consulting industry, contributing to the modernization of cloud infrastructure. The position supports scalable, high-performance systems critical to business operations.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: AWS Engineer - Cloud (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $80/hour<br>Role Overview:We are hiring for one of our clients, seeking an AWS Engineer to design, deploy, and manage scalable cloud infrastructure supporting high-traffic applications. The role involves optimizing AWS services for performance, cost, and security while collaborating with cross-functional teams to implement solutions.<br>Key Responsibilities:• Design, configure, and maintain AWS infrastructure including EC2, S3, RDS, Lambda, and VPC.• Implement CI/CD pipelines using AWS Code Pipeline, Code Build, and Code Deploy for automated deployments.• Monitor system performance using Cloud Watch, Cloud Trail, and third-party tools to ensure uptime and reliability.• Troubleshoot and resolve incidents related to AWS services, networking, and security configurations.• Document infrastructure, processes, and best practices for team knowledge sharing and compliance.<br>Required Skills & Qualifications:• AWS Certified Solutions Architect or equivalent hands-on experience with AWS services.• Proficiency in Infrastructure as Code (IaC) using Terraform or AWS Cloud Formation.• Experience with Linux/Unix environments and shell scripting for automation tasks.• Knowledge of security best practices, IAM policies, and compliance frameworks.• Familiarity with containerization technologies such as Docker and Kubernetes on AWS.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | IT Services and IT Consulting industry, contributing to the modernization of cloud infrastructure. The position supports scalable, high-performance systems critical to business operations.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: AWS Engineer - Cloud (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $80/hour<br>Role Overview:We are hiring for one of our clients, seeking an AWS Engineer to design, deploy, and manage scalable cloud infrastructure supporting high-traffic applications. The role involves optimizing AWS services for performance, cost, and security while collaborating with cross-functional teams to implement solutions.<br>Key Responsibilities:• Design, configure, and maintain AWS infrastructure including EC2, S3, RDS, Lambda, and VPC.• Implement CI/CD pipelines using AWS Code Pipeline, Code Build, and Code Deploy for automated deployments.• Monitor system performance using Cloud Watch, Cloud Trail, and third-party tools to ensure uptime and reliability.• Troubleshoot and resolve incidents related to AWS services, networking, and security configurations.• Document infrastructure, processes, and best practices for team knowledge sharing and compliance.<br>Required Skills & Qualifications:• AWS Certified Solutions Architect or equivalent hands-on experience with AWS services.• Proficiency in Infrastructure as Code (IaC) using Terraform or AWS Cloud Formation.• Experience with Linux/Unix environments and shell scripting for automation tasks.• Knowledge of security best practices, IAM policies, and compliance frameworks.• Familiarity with containerization technologies such as Docker and Kubernetes on AWS.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | IT Services and IT Consulting industry, contributing to the modernization of cloud infrastructure. The position supports scalable, high-performance systems critical to business operations.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Science engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Science engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Science engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Science engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Science engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Science engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Science engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Science engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Science engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Science engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span> </span><p><strong><span>1</span></strong></p><br> <p><strong><span>Job Details</span></strong></p><br> <br> <p><strong><span>Job Title</span></strong></p><br> <p><span>Senior AI Infrastructure Architect</span></p><br> <br> <p><strong><span>Department</span></strong></p><br> <p><span>Technology</span></p><br> <p><strong><span>Section</span></strong></p><br> <p><span>Enterprise Architecture </span></p><br> <p><strong><span>Unit</span></strong></p><br> <p><span>NA </span></p><br> <br> <p><strong><span>Direct Manager</span></strong></p><br> <p><span>Enterprise Architecture Section Head</span></p><br> <br> <p><strong><span>Direct Reports</span></strong></p><br> <p><span>NA</span></p><br> <br> <p><strong><span>2</span></strong></p><br> <p><strong><span>Role Purpose</span></strong></p><br> <br> <p><span>Design, architect, and govern enterprise infrastructure platforms that support both traditional and AI-enabled workloads. Lead the development of scalable, secure, resilient, and high-performance cloud and hybrid infrastructure architectures that enable Artificial Intelligence (AI), Machine Learning (ML), Generative AI (GenAI), data analytics, and enterprise applications in alignment with DCT's technology strategy, architecture principles, and governance standards.</span></p><br> <p><span>The role focuses on the infrastructure, cloud, platform, networking, security, compute, storage, and operational capabilities required to support AI adoption across the organization, while ensuring reliability, performance, cost optimization, and compliance.</span></p><br> <br> <p><strong><span>3</span></strong></p><br> <p><strong><span>Key Responsibilities</span></strong></p><br> <br> <p><strong><span>Infrastructure Strategy and Architecture</span></strong></p><br> <ul> <li><span>Develop and maintain enterprise infrastructure architectures that support current and future business and technology requirements, including AI and advanced analytics workloads.</span></li> <li><span>Define infrastructure standards, reference architectures, and technology roadmaps covering cloud, hybrid cloud, networking, storage, compute, container platforms, and AI infrastructure capabilities.</span></li> <li><span>Collaborate with Enterprise Architecture, Infrastructure, Security, Data, and Digital teams to ensure infrastructure readiness for AI initiatives.</span></li> <li><span>Evaluate and recommend infrastructure technologies, cloud services, GPU-enabled environments, and platform services that support enterprise AI adoption.</span></li> <li><span>Ensure infrastructure architectures align with security, governance, operational, and regulatory requirements.</span></li> </ul> <p><strong><span>AI Infrastructure Enablement</span></strong></p><br> <ul> <li><span>Design and govern infrastructure platforms supporting AI, Machine Learning, Generative AI, and data-intensive workloads.</span></li> <li><span>Architect GPU-enabled cloud and on-premises infrastructure to support model training, inference, and AI service deployment.</span></li> <li><span>Design scalable environments supporting Azure AI Services, Azure OpenAI, Azure Machine Learning, AI Foundry, and related AI platforms.</span></li> <li><span>Define infrastructure requirements for Retrieval-Augmented Generation (RAG), vector databases, AI assistants, and intelligent automation solutions.</span></li> <li><span>Ensure AI workloads are deployed using enterprise-grade infrastructure, security, networking, and operational standards.</span></li> </ul> <p><strong><span>Cloud and Platform Architecture</span></strong></p><br> <ul> <li><span>Lead the design and implementation of cloud-native AI infrastructure solutions considering scalability, availability, security, performance, and operational efficiency.</span></li> <li><span>Drive adoption of Infrastructure as Code (IaC), automation, containerization, and platform engineering best practices.</span></li> <li><span>Provide technical guidance on Kubernetes, Docker, cloud platforms, and AI infrastructure deployment models.</span></li> <li><span>Support the evolution of DevSecOps practices to enable automated infrastructure provisioning and operational excellence.</span></li> </ul> <p><strong><span>Infrastructure Management</span></strong></p><br> <ul> <li><span>Define infrastructure sizing, resource allocation, performance optimization, and cost management strategies for enterprise and AI workloads.</span></li> <li><span>Collaborate with operational teams to ensure infrastructure reliability, resilience, and service continuity.</span></li> </ul> <p><strong><span>Security, Reliability, and Performance</span></strong></p><br> <ul> <li><span>Design secure infrastructure architectures that support enterprise applications and AI workloads.</span></li> <li><span>Ensure appropriate controls are implemented for identity management, network security, data protection, encryption, and workload isolation.</span></li> <li><span>Define and implement high availability, disaster recovery, backup, and business continuity strategies.</span></li> <li><span>Monitor and assess AI infrastructure performance and identify opportunities for optimization and modernization.</span></li> <li><span>Support FinOps practices and cloud cost optimization initiatives across infrastructure and AI platforms.</span></li> </ul> <p><strong><span>Shared Activity &nbsp;</span></strong></p><br> <ul> <li><span>Ensure effective cascading of the functional strategy into business plans to ensure vertical alignment and horizontal integration with other interfacing sectional strategies. </span></li> <li><span>Lead the identification of opportunities for continuous improvement and sustainability of systems, processes and practices considering global standards, productivity improvement and cost reduction. </span></li> <li><span>Carry out any other duties and responsibilities related to the role at the request of the direct manager.</span></li> <li><span>Manage and ensure effective implementation of functional policies, procedures and controls covering all areas of assigned section activity so that all relevant procedural/legislative requirements are fulfilled while delivering a quality, cost-effective service. </span></li> <li><span>Follow all relevant departmental policies, processes, standard operating procedures, and instructions so that work is carried out in a controlled and consistent manner.</span></li> <li><span>Demonstrate compliance to organization’s values and ethics at all times to support the establishment of a value drive culture within the organization</span></li> <li><span>Contribute to the identification of opportunities for continuous improvement and sustainability of systems, processes and practices considering global standards, productivity improvement and cost reduction.</span></li> </ul> <br> <p><strong><span>4</span></strong></p><br> <p><strong><span>Communication and Business Relationships</span></strong></p><br> <br> <p><strong><span>Internal</span></strong></p><br> <ul> <li><span>Technology Internal Sections</span></li> <li><span>DCT Relevant Sectors / Departments </span></li> </ul> <p><strong><span>External</span></strong></p><br> <ul> <li><span>Key vendors &amp; supplies</span></li> <li><span>Government entities</span></li> <li><span>Service Provider &amp; Consulting firms &nbsp;&nbsp;</span></li> </ul> <br> </div>

<p>A leading MEP, Infrastructure & Landscape Contractor in Dubai is looking for an experienced Landscape Engineer (Civil) to manage and deliver landscape construction projects. Key Responsibilities Manage landscape projects from mobilization to final handover. Supervise hardscape, soft scape, irrigation, and civil works. Review drawings, material submittals, and project specifications. Coordinate with consultants, architects, engineers, subcontractors, and clients. Prepare work schedules, manpower plans, and progress reports. Ensure compliance with quality, safety, HSE, and Dubai Municipality requirements. Monitor project progress, costs, quantities, and productivity. Handle inspections, approvals, technical issues, snagging, and final handover.</p><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor's degree in civil engineering.</p></li><li><p>Minimum 6–8 years of relevant experience in Dubai/UAE is mandatory.</p></li><li><p>Strong experience in delivering landscape projects from commencement to handover.</p></li><li><p>Proven experience in Hardscape works</p></li><li><p>Proven experience in Softscape works</p></li><li><p>Proven experience Irrigation systems</p></li><li><p>Proven experience Landscape civil works</p></li><li><p>Proven experience Water features</p></li><li><p>Proven experience External works and infrastructure</p></li><li><p>Ability to read and interpret engineering drawings and specifications.</p></li><li><p>Strong planning, leadership, and site management skills.</p></li><li><p>Proficient in AutoCAD and Microsoft Office. Knowledge of MS Project, Primavera P6, or other project management software is an advantage.</p></li><li><p>Excellent communication and coordination skills.</p></li><li><p>Preferred Project Experience</p></li></ul>

Job Overview<br><br> JOB DESCRIPTION <br><br>The Associate Structural Engineer is responsible for utilizing existing Structural (Eng) procedures to solve routine or standard problems. They receive instruction, guidance, and direction from others within the team, and they will leverage their conceptual knowledge of theories, practices, and procedures related to Structural (Eng) and Engineering.<br><br>Responsibilities<br><br>Key Tasks and Responsibilities<br><br>Perform detailed design engineering, analysis, and calculations on basic engineering tasks Apply knowledge and skills to complete routine assignments under close supervision and mentoring Prepare clear and accurate detailed design calculations and analyses including design reports and procedures Organize own work to meet deadlines set by others Clearly communicate information, asking questions and checking for understanding Gain an understanding of the project scope of work, specifications, schedule, and all inter-discipline requirements Perform computer analyses of structures designed by others with guidance from Senior and PPL engineers Prepare design calculations as required Perform engineering checks of drafting Use of specifications when performing design calculations Prepare MTOs of primary structures under supervision Provide engineering support as required Assist in the preparation of subcontract documents Review vendor data with guidance from colleagues<br><br>Reports to: Project: Lead Engineer<br><br>Functional: Supervising Department Manager<br><br>Liaises with: Engineers, Design Supervisor, and Designers of their own discipline<br><br>Supervises: <br><br>Qualifications<br><br>Essential Qualifications and Education<br><br>Bachelor’s Degree or master's degree in engineering0-3 years of experience in the oil and gas industry Preferably Registered Engineer in Training (EIT) or member of professional engineering society as applicable Eager to learn Working knowledge of English, both oral and written Learn the content and application of standards, codes, and guidelines as applicable Learn design techniques and analysis methods HSE, TQM and cost-conscious Show flexibility and ensure proper hand-over with regards to:The reassignment to other departments, construction sites, and fabrication yards The replacement of colleagues during illness and holidays The provision of assistance to other colleagues with heavy workloads (also other projects) when possible and desirable The managing or learning of future current working methods and software applications Accredited engineering degree as may be required by specific regions Familiar with the use of codes and standards