Fire Fighting EngineerJobs - Cairo Egypt

<p>The Architectural Finishing Engineer is responsible for supervising and managing architectural finishing works on site, ensuring that all activities are executed according to approved drawings, specifications, and quality standards. The role includes reviewing project drawings, coordinating with project teams, monitoring site progress, and ensuring proper execution and handover of finishing works.</p><p><strong>Responsibilities:</strong></p><p>• Review architectural drawings, specifications, and project documents.<br>• Ensure all finishing works are executed according to approved drawings and quality standards.<br>• Prepare architectural details and coordinate with site teams for proper execution.<br>• Review and approve architectural materials and ensure compliance with project requirements.<br>• Issue architectural correspondences and follow up on site-related issues.<br>• Identify and report any architectural deviations or violations on site.<br>• Attend progress meetings and coordination meetings to resolve technical issues.<br>• Monitor site activities, supervise execution, and ensure timely completion of works.<br>• Prepare drawings and visual details using AutoCAD and other design software.<br>• Coordinate with different disciplines to ensure smooth project execution and handover.</p><p><strong>Requirements</strong></p><p>• Bachelor’s degree in Architecture Engineering.<br>• 4–5 years of experience in architectural finishing and site supervision.<br>• Previous experience in Resorts, Hotels, or Hospitality projects is preferred.<br>• Strong knowledge of finishing works, construction details, and quality standards.<br>• Proficiency in AutoCAD and Microsoft Excel.<br>• Ability to read and interpret architectural drawings and specifications.<br>• Hands-on experience in site supervision, coordination, and work handover.<br>• Strong attention to details and problem-solving skills.<br>• Ability to work with multiple disciplines and manage site activities.<br>• Excellent communication skills and ability to work effectively within a team.</p>

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L<br>Role Overview:We are looking for experienced Machine Learning Engineers (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.<br>What does day-to-day life look like? Work with real-world ML codebases to support MLE Bench–style evaluation tasks. Build, run, and modify model training, evaluation, and inference pipelines. Prepare datasets, features, and metrics for ML benchmarking and validation. Debug, refactor, and improve production-like ML systems for correctness and performance. Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks. Write clean, reproducible, and well-documented Python code for ML workflows. Participate in code reviews to ensure high standards of engineering quality. Collaborate with researchers and engineers to design challenging, real-world ML engineering tasks for AI system evaluation.<br>Requirements:Minimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer (ML-focused). Strong proficiency in Python for machine learning and data workflows. Hands-on experience with model training, evaluation, and inference pipelines. Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization). Experience working with ML frameworks (e.g., PyTorch, Tensor Flow, JAX, or similar). Ability to understand, navigate, and modify complex, real-world ML codebases. Experience writing readable, reusable, and maintainable production-quality code. Strong problem-solving and debugging skills. Excellent spoken and written English communication skills.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 3 months (adjustable based on engagement)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for a hands-on Applied Scientist / ML Engineer to support the development and improvement of AI/ML solutions, with a strong focus on Large Language Models, model accuracy, evaluation frameworks, and production-ready machine learning pipelines. The role will involve fine-tuning models, building RAG pipelines, improving prompt strategies, and collaborating with engineering teams to integrate AI capabilities into operational tools.</p><p>Key Responsibilities</p><ul><li>Fine-tune and optimize Large Language Models for domain-specific use cases.</li><li>Build evaluation frameworks to measure model quality, accuracy, and performance.</li><li>Develop and maintain RAG pipelines using operational data, documentation, and codebase references.</li><li>Design prompt engineering strategies and improve multi-step AI workflows.</li><li>Analyze model failure points, identify accuracy gaps, and recommend improvements.</li><li>Collaborate with software engineering teams to deploy model enhancements into production.</li><li>Create dashboards and reporting to track model performance and continuous improvement.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>3+ years of hands-on experience in machine learning, deep learning, NLP, or LLM development.</li><li>Experience fine-tuning language models such as GPT, Claude, Llama, Mistral, or similar.</li><li>Strong Python skills and experience with PyTorch, TensorFlow, or Hugging Face Transformers.</li><li>Experience building end-to-end ML pipelines, including data preparation, training, evaluation, and deployment.</li><li>Knowledge of model evaluation metrics such as accuracy, F1, BLEU, ROUGE, and human evaluation methods.</li><li>Experience with RAG architectures, vector databases, and embedding models is preferred.</li><li>Familiarity with AWS ML tools such as Amazon Bedrock or SageMaker is a plus.</li><li>Ability to work independently and deliver high-quality results with minimal supervision.</li></ul><p></p></section>

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L<br>Role Overview:We are looking for experienced Machine Learning Engineers (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.<br>What does day-to-day life look like? Work with real-world ML codebases to support MLE Bench–style evaluation tasks. Build, run, and modify model training, evaluation, and inference pipelines. Prepare datasets, features, and metrics for ML benchmarking and validation. Debug, refactor, and improve production-like ML systems for correctness and performance. Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks. Write clean, reproducible, and well-documented Python code for ML workflows. Participate in code reviews to ensure high standards of engineering quality. Collaborate with researchers and engineers to design challenging, real-world ML engineering tasks for AI system evaluation.<br>Requirements:Minimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer (ML-focused). Strong proficiency in Python for machine learning and data workflows. Hands-on experience with model training, evaluation, and inference pipelines. Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization). Experience working with ML frameworks (e.g., PyTorch, Tensor Flow, JAX, or similar). Ability to understand, navigate, and modify complex, real-world ML codebases. Experience writing readable, reusable, and maintainable production-quality code. Strong problem-solving and debugging skills. Excellent spoken and written English communication skills.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 3 months (adjustable based on engagement)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L<br>Role Overview:We are looking for experienced Machine Learning Engineers (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.<br>What does day-to-day life look like? Work with real-world ML codebases to support MLE Bench–style evaluation tasks. Build, run, and modify model training, evaluation, and inference pipelines. Prepare datasets, features, and metrics for ML benchmarking and validation. Debug, refactor, and improve production-like ML systems for correctness and performance. Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks. Write clean, reproducible, and well-documented Python code for ML workflows. Participate in code reviews to ensure high standards of engineering quality. Collaborate with researchers and engineers to design challenging, real-world ML engineering tasks for AI system evaluation.<br>Requirements:Minimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer (ML-focused). Strong proficiency in Python for machine learning and data workflows. Hands-on experience with model training, evaluation, and inference pipelines. Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization). Experience working with ML frameworks (e.g., PyTorch, Tensor Flow, JAX, or similar). Ability to understand, navigate, and modify complex, real-world ML codebases. Experience writing readable, reusable, and maintainable production-quality code. Strong problem-solving and debugging skills. Excellent spoken and written English communication skills.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 3 months (adjustable based on engagement)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L<br>Role Overview:We are looking for experienced Machine Learning Engineers (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.<br>What does day-to-day life look like? Work with real-world ML codebases to support MLE Bench–style evaluation tasks. Build, run, and modify model training, evaluation, and inference pipelines. Prepare datasets, features, and metrics for ML benchmarking and validation. Debug, refactor, and improve production-like ML systems for correctness and performance. Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks. Write clean, reproducible, and well-documented Python code for ML workflows. Participate in code reviews to ensure high standards of engineering quality. Collaborate with researchers and engineers to design challenging, real-world ML engineering tasks for AI system evaluation.<br>Requirements:Minimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer (ML-focused). Strong proficiency in Python for machine learning and data workflows. Hands-on experience with model training, evaluation, and inference pipelines. Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization). Experience working with ML frameworks (e.g., PyTorch, Tensor Flow, JAX, or similar). Ability to understand, navigate, and modify complex, real-world ML codebases. Experience writing readable, reusable, and maintainable production-quality code. Strong problem-solving and debugging skills. Excellent spoken and written English communication skills.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 3 months (adjustable based on engagement)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L<br>Role Overview:We are looking for experienced Machine Learning Engineers (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.<br>What does day-to-day life look like? Work with real-world ML codebases to support MLE Bench–style evaluation tasks. Build, run, and modify model training, evaluation, and inference pipelines. Prepare datasets, features, and metrics for ML benchmarking and validation. Debug, refactor, and improve production-like ML systems for correctness and performance. Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks. Write clean, reproducible, and well-documented Python code for ML workflows. Participate in code reviews to ensure high standards of engineering quality. Collaborate with researchers and engineers to design challenging, real-world ML engineering tasks for AI system evaluation.<br>Requirements:Minimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer (ML-focused). Strong proficiency in Python for machine learning and data workflows. Hands-on experience with model training, evaluation, and inference pipelines. Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization). Experience working with ML frameworks (e.g., PyTorch, Tensor Flow, JAX, or similar). Ability to understand, navigate, and modify complex, real-world ML codebases. Experience writing readable, reusable, and maintainable production-quality code. Strong problem-solving and debugging skills. Excellent spoken and written English communication skills.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 3 months (adjustable based on engagement)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L<br>Role Overview:We are looking for experienced Machine Learning Engineers (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.<br>What does day-to-day life look like? Work with real-world ML codebases to support MLE Bench–style evaluation tasks. Build, run, and modify model training, evaluation, and inference pipelines. Prepare datasets, features, and metrics for ML benchmarking and validation. Debug, refactor, and improve production-like ML systems for correctness and performance. Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks. Write clean, reproducible, and well-documented Python code for ML workflows. Participate in code reviews to ensure high standards of engineering quality. Collaborate with researchers and engineers to design challenging, real-world ML engineering tasks for AI system evaluation.<br>Requirements:Minimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer (ML-focused). Strong proficiency in Python for machine learning and data workflows. Hands-on experience with model training, evaluation, and inference pipelines. Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization). Experience working with ML frameworks (e.g., PyTorch, Tensor Flow, JAX, or similar). Ability to understand, navigate, and modify complex, real-world ML codebases. Experience writing readable, reusable, and maintainable production-quality code. Strong problem-solving and debugging skills. Excellent spoken and written English communication skills.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 3 months (adjustable based on engagement)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L<br>Role Overview:We are looking for experienced Machine Learning Engineers (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.<br>What does day-to-day life look like? Work with real-world ML codebases to support MLE Bench–style evaluation tasks. Build, run, and modify model training, evaluation, and inference pipelines. Prepare datasets, features, and metrics for ML benchmarking and validation. Debug, refactor, and improve production-like ML systems for correctness and performance. Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks. Write clean, reproducible, and well-documented Python code for ML workflows. Participate in code reviews to ensure high standards of engineering quality. Collaborate with researchers and engineers to design challenging, real-world ML engineering tasks for AI system evaluation.<br>Requirements:Minimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer (ML-focused). Strong proficiency in Python for machine learning and data workflows. Hands-on experience with model training, evaluation, and inference pipelines. Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization). Experience working with ML frameworks (e.g., PyTorch, Tensor Flow, JAX, or similar). Ability to understand, navigate, and modify complex, real-world ML codebases. Experience writing readable, reusable, and maintainable production-quality code. Strong problem-solving and debugging skills. Excellent spoken and written English communication skills.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 3 months (adjustable based on engagement)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L<br>Role Overview:We are looking for experienced Machine Learning Engineers (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.<br>What does day-to-day life look like? Work with real-world ML codebases to support MLE Bench–style evaluation tasks. Build, run, and modify model training, evaluation, and inference pipelines. Prepare datasets, features, and metrics for ML benchmarking and validation. Debug, refactor, and improve production-like ML systems for correctness and performance. Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks. Write clean, reproducible, and well-documented Python code for ML workflows. Participate in code reviews to ensure high standards of engineering quality. Collaborate with researchers and engineers to design challenging, real-world ML engineering tasks for AI system evaluation.<br>Requirements:Minimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer (ML-focused). Strong proficiency in Python for machine learning and data workflows. Hands-on experience with model training, evaluation, and inference pipelines. Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization). Experience working with ML frameworks (e.g., PyTorch, Tensor Flow, JAX, or similar). Ability to understand, navigate, and modify complex, real-world ML codebases. Experience writing readable, reusable, and maintainable production-quality code. Strong problem-solving and debugging skills. Excellent spoken and written English communication skills.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 3 months (adjustable based on engagement)<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

Scan-to-BIM Structural Engineer (BIM-26-01) Location: Nasr City, Cairo, Egypt GSC Engineering & Geo Consulting is seeking an experienced Scan-to-BIM Structural Engineer to join our multidisciplinary engineering team. The successful candidate will be responsible for developing accurate structural BIM models of existing buildings and infrastructure using point-cloud data, site surveys, as-built drawings, and structural investigation findings for projects across Egypt and the GCC region. Qualifications Bachelor’s degree in Civil or Structural Engineering. At least 5 years of relevant experience in structural BIM modelling. Proven experience in Scan-to-BIM projects and modelling existing structures. Previous experience with engineering consultancy firms and GCC projects is preferred. Strong technical coordination and communication skills. Requirements Advanced proficiency in Autodesk Revit Structure is mandatory. Strong practical experience working with point-cloud data obtained from laser scanning, LiDAR, or photogrammetry. Proven ability to develop accurate structural BIM models for existing buildings from registered point clouds. Experience modelling reinforced-concrete and structural-steel elements, including foundations, columns, walls, beams, slabs, stairs, and roof systems. Ability to identify and model structural irregularities, deformations, level variations, and deviations from the original drawings. Experience integrating point-cloud data, as-built drawings, site measurements, and structural investigation findings. Good knowledge of Autodesk ReCap and Navisworks; experience with Cloud Compare or similar point-cloud software is an advantage. Ability to produce structural plans, sections, elevations, schedules, details, and as-built documentation directly from BIM models. Understanding of BIM standards, model coordination, clash detection, Levels of Development (LOD), naming conventions, and quality-control procedures. Ability to distinguish between structural and non-structural elements within existing buildings. Familiarity with structural assessment, rehabilitation, retrofit, and strengthening projects is highly preferred. Ability to coordinate with structural, architectural, MEP, geotechnical, geophysical, and surveying teams. Ability to manage multiple projects, support junior BIM engineers and modelers, and deliver accurate models within project deadlines. Benefits Competitive Salary Paid Time Off (PTO) & Public Holidays Professional Development Exposure to multidisciplinary projects across Egypt and the GCC region<br>How to Apply Please send your CV and a sample portfolio of relevant Scan-to-BIM structural projects to hr@gscconsultings.com and mention “BIM-26-01” in the email subject. Note: Candidates must demonstrate practical experience in both point-cloud processing and structural modelling of existing buildings. <br>Only shortlisted candidates who meet the required qualifications will be contacted.

Title: Internal Technical Support Engineer (General Industries) Location: New Cairo<br>About the Role We are seeking an Internal Technical Support Engineer to provide technical support to the sales team and customers by preparing quotations, reviewing technical specifications, and recommending suitable industrial solutions. The ideal candidate will coordinate with internal departments to ensure accurate proposals, timely order processing, and excellent customer support.<br>Key Responsibilities Develop and execute the sales strategy for the assigned territory in line with the company's business objectives. Achieve annual sales, gross margin, and collection targets. Lead, coach, and support the sales engineers within the assigned area to maximize their performance and professional development. Identify new business opportunities and develop strategic account plans for key customers. Build and maintain strong relationships with decision-makers, consultants, EPC contractors, and end users. Manage the complete sales cycle from lead generation and opportunity qualification through quotation, negotiation, and order closing. Monitor sales pipelines and ensure opportunities are accurately maintained within the CRM system. Conduct regular customer visits and develop plans to increase market penetration. Prepare sales forecasts, pipeline reviews, territory reports, and market intelligence. Coordinate with technical support, service, operations, and management teams to deliver effective customer solutions. Monitor competitor activities, market trends, and customer requirements to identify growth opportunities. Support the development and execution of marketing initiatives, seminars, technical presentations, and customer events. Ensure high levels of customer satisfaction throughout the sales and project execution process.<br>Qualifications Bachelor’s degree in mechanical engineering, mechatronics or Industrial Engineering, or a related engineering discipline. MBA or postgraduate qualification is considered an advantage. Minimum 7–10 years of experience in industrial B2B sales. Minimum 3 years in a leadership or supervisory sales role. Experience working with industrial customers in one or more of the following sectors:Food & Beverage Pharmaceutical Textile Industry General Manufacturing Experience selling technical engineering solutions is highly preferred. Previous experience using CRM systems<br>Required Skills Strong leadership and people management skills. Excellent communication, presentation, and negotiation abilities. Strategic thinking with strong commercial awareness. Proven ability to develop new business and manage key accounts. Strong analytical and problem-solving skills. Ability to lead complex sales opportunities involving multiple stakeholders. Excellent planning, forecasting, and territory management capabilities. Self-motivated, results-oriented, and customer-focused. Proficient in Microsoft Office, particularly Excel and Power Point.

We're partnering with an innovative, fast-growing technology company that's building large-scale digital products with a strong focus on automation, cloud infrastructure, and engineering excellence. We're looking for a talented Mid-Level Dev Ops Engineer to join a collaborative team that's passionate about delivering reliable, scalable, and secure software solutions.<br>As a Dev Ops Engineer, you'll play a critical role in improving the software delivery lifecycle by designing, automating, and maintaining modern infrastructure and deployment pipelines.<br>Key Responsibilities:Design, implement, and optimize CI/CD pipelines. Automate infrastructure provisioning and operational workflows using Infrastructure as Code. Manage Linux and Windows server environments. Deploy and maintain containerized applications using Docker and Kubernetes. Monitor system health, troubleshoot production issues, and improve platform reliability. Collaborate closely with Software Engineers and QA teams to streamline development and deployment processes. Implement security best practices throughout the software delivery lifecycle. Support cloud-based infrastructure and ensure high availability and performance.<br>Required Qualifications:Proven experience in a Dev Ops or Infrastructure Engineering role. Strong administration experience with Linux and Windows servers. Hands-on experience with Docker and Kubernetes. Strong scripting skills (Bash, Python, Power Shell, or similar). Experience with Git and version control platforms. Hands-on experience with CI/CD tools such as Jenkins, Azure Pipelines, Git Lab CI/CD, or Bamboo. Experience with Infrastructure as Code tools like Terraform or Ansible. Experience with monitoring and logging solutions such as Grafana, Prometheus, ELK Stack, or Data Dog. Solid understanding of Agile development practices and Dev Ops culture. Nice to Have:Experience with AWS, Azure, or Google Cloud Platform. Knowledge of networking and security best practices. Familiarity with REST APIs and modern application architectures. Relevant cloud or Dev Ops certifications.<br>What we are looking for beyond the technical skills:Strong problem-solving and analytical thinking. Excellent communication and collaboration skills. Ownership mindset and attention to detail. Passion for automation, continuous improvement, and learning new technologies.<br>Company Benefits:Hybrid working model. Work on modern cloud-native technologies. Join a highly skilled engineering team. Solve challenging technical problems in a fast-paced environment. Competitive compensation and excellent career growth opportunities.<br>If you're interested in learning more about this opportunity, we'd love to hear from you. Apply now via Linked In or send your updated CV to talent.jobs16@gmail.com, and we'll be happy to share additional details with shortlisted candidates.

Company Description PC Power focuses on delivering Information and Communication Technology (ICT) services that address the growing needs of both global and local markets. The company supports organizations in adopting and optimizing modern technologies to improve performance and efficiency. PC Power's expertise spans diverse ICT solutions, making it a dynamic environment for technical professionals. Team members gain exposure to a variety of projects and clients, offering strong opportunities for learning and career growth.<br>Role Description This is a full-time Junior Full Stack Engineer role based in Cairo, Egypt, with a hybrid work arrangement that combines on-site presence and some work-from-home flexibility. The Junior Full Stack Engineer will assist in designing, developing, and maintaining web applications using Angular on the front end and . NET on the back end. Day-to-day responsibilities include implementing Angular components and user interfaces, writing server-side logic and APIs in . NET, integrating front-end and back-end systems, debugging and testing features, and collaborating with senior engineers to enhance system performance. The role also involves participating in code reviews, following best practices for software development and version control, leveraging AI-assisted development tools like Claude Code to boost productivity, and documenting technical solutions to support ongoing maintenance and scalability.<br>Qualifications1-2 years hands-on experience with Angular to build responsive, component-based front-end interfaces. Candidates must have hands-on experience with . NET (C#/. NET Core or similar) to implement reliable server-side functionality and application logic. Experience with Claude Code or similar AI-assisted coding tools is a must. Solid working knowledge of Git/Git Hub, including branching, pull requests, and code review workflows, is a must. Candidates should possess skills in Full-Stack Development to work across the entire application stack and integrate front-end and back-end components. Familiarity with CSS, HTML, and RESTful API integration is beneficial. Strong problem-solving abilities, attention to detail, and willingness to learn from feedback are essential. Ability to collaborate effectively within a technical team, communicate clearly, and manage tasks in a hybrid work environment. A relevant degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience, is preferred.<br>Benefits Competitive salary based on experience Health insurance and social insurance Hybrid work environment Career growth opportunities in a dynamic and expanding company Exposure to global clients and projects AI-powered development workflows

Job Summary We are seeking a detail-oriented and experienced Quantity Surveyor (QS) Engineer to join our team. The successful candidate will be responsible for managing project costs, preparing quantity take-offs, evaluating subcontractor and supplier quotations, monitoring project budgets, and ensuring cost-effective project delivery while maintaining quality standards.<br>Responsibilities Prepare quantity take-offs and cost estimates from drawings and specifications. Develop and manage project budgets and cost plans. Prepare Bills of Quantities (BOQs) and tender documentation. Evaluate contractor, subcontractor, and supplier quotations. Monitor project costs, variations, and change orders. Prepare interim payment applications and certify subcontractor payments. Conduct cost analysis and value engineering to optimize project expenses. Review contracts and ensure compliance with contractual obligations. Prepare cost reports and present financial updates to project management. Coordinate with project managers, site engineers, consultants, and clients. Assist in final account preparation and project closeout.<br>Qualifications Bachelor's degree in Civil Engineering, Quantity Surveying, or a related field.1-3 years of experience in quantity surveying within construction projects. Strong knowledge of BOQ preparation, cost estimation, and contract administration. Proficiency in Microsoft Excel, Auto CAD, and quantity surveying software (e.g., Cost X, CCS, or similar). Familiarity with FIDIC contracts is an advantage. Excellent analytical, negotiation, and communication skills. Ability to manage multiple projects and meet deadlines. Professional certification in Quantity Surveying or Cost Management is a plus. Experience with commercial, residential, or infrastructure projects. Strong attention to detail and problem-solving skills.

Advansys is looking for a Junior Machine Learning Engineer to join our dynamic team. This is an excellent opportunity for recent graduates or individuals with foundational experience in machine learning to advance their careers in a supportive and innovative environment. You will assist in the development, implementation, and monitoring of machine learning models and algorithms.<br><br>Key responsibilities include:<br><br>Assisting in the design and implementation of machine learning models under the guidance of senior engineers Conducting data cleaning and preprocessing to prepare datasets for training models Supporting the evaluation and fine-tuning of machine learning algorithms Collaborating with cross-functional teams to understand project requirements and objectives Documenting processes, model training, and outcomes clearly and comprehensively Staying updated with industry trends and best practices in machine learning and AIParticipating in team meetings and contributing to brainstorming sessions<br><br>Requirements<br><br>Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field Basic understanding of machine learning concepts and algorithms Familiarity with programming languages such as Python or R, and experience with ML libraries (e.g., scikit-learn, Tensor Flow, or Keras) Experience with data manipulation and analysis tools such as Pandas and Num PyStrong analytical and problem-solving skills Good communication skills and the ability to work effectively in a team environment Enthusiasm for learning new technologies and techniques in AI/MLInternship or project experience in machine learning or data analysis is a plus<br><br>Benefits<br><br>Hybrid working model Social and medical insurance Transportation

To handle drafting project shop drawings, as well as coordinate drawings between different disciplines and assist site engineers clarifying and resolving any technical problem that could arise during the construction caused by designs. Roles & Responsibilities Participate in implementing technical office policies and procedures. Study the project contract documents (time schedule, project design drawings, BOQ, etc.). Prepare shop and coordination drawings (or composite drawing) based on project’s design drawings in accurate with quality standard. Coordinate with other trades to solve any conflict between various Engineering disciplines. Update the shop drawing log before sending the shop drawing to consultant for approvals. Study and prepare requests for information (RFIs) for all missing, unclear, conflicting or other technical matters that may arise during construction. Review sub-contractors’ shop drawings as well as outsourced shop drawings and coordinate their approval process with the project consultant. Coordinate with Surveying Engineer to provide him all the information about land coordinates and any site measurement required. Participate in solving/reporting any unexpected technical difficulties, and other problems that may arise during construction to the Technical Office Manager for discussion and proper solve. Prepare as-built drawings at the end of the project and hand over to the project consultant. Prepare material submittal in conjunction with material to be and approved by the consultant. Ensure that employee is working according to the company HSE policies and regulations, and fully aware of his job risk assessment and environmental aspects.<br><br>Education/ Qualifications BSC Engineering, Mechanical or Electrical

Job Purpose<br><br> JOB DESCRIPTION <br><br>To handle drafting project shop drawings, as well as coordinate drawings between different disciplines and assist site engineers clarifying and resolving any technical problem that could arise during the construction caused by designs.<br><br>Roles & Responsibilities<br><br> Participate in implementing technical office policies and procedures. Study the project contract documents (time schedule, project design drawings, BOQ, etc.). Prepare shop and coordination drawings (or composite drawing) based on project’s design drawings in accurate with quality standard. Coordinate with other trades to solve any conflict between various Engineering disciplines. Update the shop drawing log before sending the shop drawing to consultant for approvals. Study and prepare requests for information (RFIs) for all missing, unclear, conflicting or other technical matters that may arise during construction. Review sub-contractors’ shop drawings as well as outsourced shop drawings and coordinate their approval process with the project consultant. Coordinate with Surveying Engineer to provide him all the information about land coordinates and any site measurement required. Participate in solving/reporting any unexpected technical difficulties, and other problems that may arise during construction to the Technical Office Manager for discussion and proper solve. Prepare as-built drawings at the end of the project and hand over to the project consultant. Prepare material submittal in conjunction with material to be and approved by the consultant. Ensure that employee is working according to the company HSE policies and regulations, and fully aware of his job risk assessment and environmental aspects.

<p><h4>Who we are</h4> <p>VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through talent, technology & transformation.</p> <p>As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and third party capability.</p> <p>We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.</p> <h4>About this role</h4> <p>We are seeking a DevOps engineer with around one year of experience to support and enhance cloud platforms, primarily on Google Cloud Platform (GCP). This role focuses on learning and contributing to Kubernetes-based platforms, infrastructure as code, CI/CD pipelines, monitoring, and operational support across development and production environments. Working closely with senior engineers, the individual will help automate, secure, and maintain reliable, scalable cloud services that enable engineering teams to deliver efficiently.</p> <h4>What you’ll do</h4> <ul> <li>Support the management and maintenance of cloud infrastructure on GCP</li> <li>Assist in deploying and supporting Kubernetes clusters and containerised applications</li> <li>Contribute to infrastructure as code development and maintenance using Terraform</li> <li>Help develop and maintain CI/CD pipelines for application and infrastructure delivery</li> <li>Support Linux-based systems across cloud environments</li> <li>Assist with secrets management and secure access solutions such as Vault</li> <li>Monitor system health through logging, alerting, and observability platforms</li> <li>Provide operational support for development, staging, and production environments</li> <li>Troubleshoot infrastructure, deployment, Kubernetes, networking, and platform-related issues with guidance from senior team members</li> <li>Collaborate with development, security, and operations teams to improve automation, reliability, and security practices</li> </ul> <h4>Who you are</h4> <ul> <li>Around one year of experience in DevOps, cloud, system administration, or a related role</li> <li>Basic to intermediate experience with Google Cloud Platform (GCP)</li> <li>Familiarity with Kubernetes and containerised applications</li> <li>Knowledge of Terraform and infrastructure as code concepts</li> <li>Basic Linux administration and troubleshooting skills</li> <li>Understanding of CI/CD concepts and tools</li> <li>Awareness of monitoring and observability tools such as Prometheus, Grafana, Cloud Monitoring, or ELK</li> <li>Basic understanding of networking, cloud infrastructure, and security principles</li> <li>Familiarity with scripting or automation using Bash, Python, or similar</li> <li>A collaborative mindset with strong communication skills and a willingness to learn and grow in a DevOps environment</li> </ul> <h4>Not a perfect fit?</h4> <p>Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p> <h4>What's in it for you</h4> <ul> <li>Hands-on exposure to enterprise-scale cloud and DevOps platforms within a global organisation</li> <li>Close mentorship from experienced DevOps and cloud professionals</li> <li>Opportunities to work on live development and production environments, gaining practical operational experience</li> <li>A collaborative, learning-focused environment that supports continuous development</li> </ul> <h4>What skills you will learn</h4> <ul> <li>Practical application of DevOps and cloud-native principles</li> <li>Deeper expertise in GCP services, Kubernetes operations, and Terraform-based automation</li> <li>Experience with CI/CD pipelines, monitoring, and observability tooling</li> <li>Foundational exposure to security, IAM, backup, and disaster recovery practices</li> </ul> <h4>VOIS equal opportunity employer commitment</h4> <p>Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.</p> <h4>Join us</h4> <p>At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.</p> <p>We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.</p> <p>With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.</p> <h4>Alert</h4> <p>Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.</p></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life such as energy, infrastructure, chemicals and minerals safely, efficiently and more sustainably. We re the first software business in the world to have our sustainability targets validated by the SBTi, and we ve been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We ve also recently been named as one of the world s most innovative companies. If you re a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at AVEVA Careers . For more information about our privacy policy and how to manage cookies, visit our Privacy Policy . Job Title: Tech Support Engineer Location: Cairo, Egypt Employment Type: full-time The job The Tech Support Engineer is a key role in contributing to the growth of business within the region, providing the essential post-sales product support, training, consultancy, and implementation for AVEVA applications. The TSE is accountable for delivery of professional services to customers, either internally or externally, and may be required to travel at short notice as a representative of the company wherever necessary to deliver services. Key responsibilities Provides routine second line product support as required to customers in the region. Promptly address and resolve customer complaints or technical issues. Provides high quality, specialist product training in both AVEVA training centres and at customer locations. Contributes to the delivery of deployment and configuration services to AVEVA s customers Works with members of the technical team and technical managers to help develop scopes of work and proposals for consulting and customisation services Develops technical skills within their primary domain and into other AVEVA product areas to assist in the growth of the technical team in the region Provides industry specific consultancy, based upon related experiences to aid other members of the team to achieve successful product positioning. Provides pre-sales support as required by line management.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Essential requirements</strong> Experience with Microsoft Windows Operating Systems. Experience in Current versions of AVEVA InTouch and System Platform. A sound understanding of HMI / SCADA solution architectures and industrial automation. Domain experience in the implementation and use of process control utilized in the Food &amp; Beverage, Consumer Packaged Goods (CPG), Metals, or Discrete industry manufacturing space. Experience as a Technical Support Engineer or related field practicing in support, design, development, and/or integration of process control and IT solutions for manufacturing. BS degree in a respective Computer Science or Engineering field. Excellent communication skills, written and verbal in English. Other languages will be considered a Plus Collaboration mindset and ability to work in a virtual team environment towards a common goal. <strong>Desired skills</strong> Experience with Microsoft SQL Server database development tools and languages (SQL, PL/SQL, T-SQL) Experience with Microsoft SQL Server database administration Experience with Microsoft Visual Studio, including VB.Net and/or C#</p><p></p></section>