Concrete Engineer Jobs

Key Responsibilities Lead and manage the engineering design team. Review and approve electrical and mechanical designs. Ensure compliance with IEC standards, customer specifications, and company requirements. Supervise the preparation and review of Single-line diagrams, General Arrangement Drawings, Fabrication Drawings, and Bills of Materials (BOM). Coordinate with the Production, Quality, Procurement, Sales, and Projects departments to ensure smooth project execution. Provide technical support during manufacturing, testing, and commissioning. Optimize product designs to improve quality, manufacturability, and cost efficiency. Manage engineering changes and maintain design documentation. Mentor and develop design engineers while promoting continuous improvement.<br>Qualifications:Bachelor's degree in mechanical engineering.8+ years of experience in electrical design, including experience in a leadership role. Strong experience in Compact Substations, MV/LV Panels, Electrical Enclosures, or Power Distribution products. Proficiency in Solid Works, Auto CAD, and Microsoft Office. Strong leadership, communication, and problem-solving skills. Ability to manage multiple projects and meet deadlines.

Egy Bell is hiring an Office Management Assistant for a leading manufacturer and global supplier of measuring and control technologies.<br><br>Job duties:Support the sales and service engineers in their office work. Customer support by phone and email. Create quotations and maintain records/reports in accordance with company procedures. Maintenance of the CRM (MS Dynamics) system. Coordination of customer visits. Active support for pre-/aftersales activities at shows or customer events. Coordinate and support activities related to local logistics and banking issues Other administrative office duties.operational duties (ensures seamless daily business operations by managing administrative systems, office facilities, and vendor relationships. Core operational duties include implementing procedures, overseeing office budgets, maintaining equipment, coordinating space planning, managing front-desk operations, and ensuring health and safety compliance.<br>Requirements:A Bachelor’s degree in Business Administration.4-5 years of experience in the same role Fluent in English. Solid administration skills. Microsoft Office. Ability to work comfortably in a fast-paced environment.

Engineering Manager Location: Maadi, Cairo, Egypt (Hybrid) Department: Engineering About the Role We are seeking an experienced Engineering Manager to lead high-performing software engineering teams and ensure the successful delivery of scalable, secure, and high-quality software solutions. This role combines people leadership, technical leadership, and delivery management, working closely with Product, QA, Dev Ops, and executive stakeholders to drive engineering excellence and business success. Key Responsibilities Engineering Leadership Build, mentor, and lead high-performing engineering teams. Foster a culture of ownership, accountability, collaboration, and continuous learning. Conduct regular one-on-one meetings, performance reviews, feedback sessions, and career development discussions. Support engineers in achieving career growth and promotion objectives. Delivery & Execution Own the execution of product roadmaps and ensure predictable, high-quality delivery. Improve sprint planning, estimation, prioritization, and engineering processes. Balance feature development, technical debt, operational support, and product quality. Identify and remove delivery blockers while managing cross-team dependencies. Technical Excellence Promote engineering best practices for architecture, coding standards, testing, maintainability, scalability, and reliability. Partner with Technical Leads and senior engineers to drive sound technical decisions and system design. Collaborate with QA teams to improve release quality, regression coverage, and defect prevention. Cross-Functional Collaboration Work closely with Product Managers, Dev Ops, QA, Delivery, and executive leadership to align engineering execution with business objectives. Support customer escalations while ensuring engineering teams remain focused on roadmap priorities. Participate in technical planning, project reviews, and continuous process improvement initiatives. Talent Acquisition & Team Development Define hiring requirements for engineering teams. Conduct technical interviews and candidate evaluations. Support onboarding, coaching, succession planning, and engineering career frameworks. Qualifications Required Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field. Minimum 7 years of experience in Software Engineering. Previous experience leading software engineering teams. Strong understanding of Agile/Scrum methodologies and software delivery practices. Experience building and maintaining production software systems. Experience managing Backend, Frontend, Full Stack, Platform, or Machine Learning engineering teams. Strong leadership, coaching, and performance management skills. Excellent communication and stakeholder management abilities. Preferred Experience within Saa S, AI/ML, Enterprise Software, Fin Tech, or other regulated industries. Experience with Cloud platforms and/or On-Premises deployments. Knowledge of Dev Ops, CI/CD pipelines, Observability, and Site Reliability Engineering (SRE). Experience scaling engineering organizations and building engineering operating models. Technical Skills Software Engineering Software Architecture System Design Agile & Scrum Dev Ops CI/CDCloud Computing Product Engineering AI / Machine Learning Saa SEngineering Operations Technical Strategy Core Competencies Leadership & People Management Coaching & Mentoring Strategic Planning Project & Delivery Management Stakeholder Management Decision Making Problem Solving Communication & Collaboration Performance Management Continuous Improvement

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Customer Support Technical Specialist - Associate is the technical role within the Customer Support organization. This role entails taking calls from the assigned technology queue and assisting customers with their technical queries and issues.</p><p>What you'll do..</p><ul><li>Provide remote assistance to customers with their technical issues &amp; queries.</li><li>Maintain personal assigned incident queues, keeping customers updated regularly.</li><li>Keep incident backlog and aged calls within defined ranges</li><li>Maintain Customer Satisfaction levels to within or above defined range.</li></ul><p>Customer Support Associates must have a solid technical foundation across areas such as Operating Systems (Wintel or Unix/ Linux), &amp; Networking. They should have proven technical experience and sound troubleshooting methodology. They should possess good communication skills and customer empathy.</p><p>Engineers address issues end to end - be it Deployment, Configuration, Backups, Archiving, Restores, Replication, Performance benchmarking etc across a broad spectrum of innovative technologies listed below -</p><ul><li>On prem hypervisors - VMware, MSFT Hyper-V</li><li>Containerization - Kubernetes</li><li>Cloud hypervisors - AWS, Azure, GCP, Nutanix AHV, OpenStack, OCI, OpenShift, RHEV</li><li>FS - Windows File Systems</li></ul><p>Also, as a bonus engineers will have the opportunity to learn and work on challenging technologies like IntelliSnap using storage arrays from vendors like NetApp, Nutanix, Dell EMC, HDS, HPE etc</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>This role requires a minimum 2 yrs. Of industry-based experience, using enterprise level platforms and applications. Proficiency in English is a Must, Second Language is a must (Spanish, Portuguese, French)</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Envision Employment Solutions is currently looking for Senior ESM Tool Architect for one of our partners, a leader in the Consulting &amp; Technology Services !<br> Objective: The Senior ESM Tool Architect is responsible for designing, governing, and evolving Enterprise Service Management (ESM) tool architecture, primarily based on the ServiceNow platform.<br> The role ensures that ESM solutions are scalable, secure, and aligned with business processes across IT and enterprise functions such as HR, Facilities, Security, and Customer Service.<br> Responsibilities: Design and own the ESM tool architecture based on ServiceNow best practices Define target architecture, solution blueprints, and integration patterns for ESM Lead the implementation and evolution of ServiceNow modules supporting ESM (e.<br>g. ITSM, HRSD, CSM, ITOM) Ensure governance, platform standards, and instance health across ESM tools Define and maintain the ESM roadmap aligned with business and service management objectives Design integrations between ServiceNow and enterprise systems (e.<br>g. monitoring, ERP, CRM) Support automation, workflow optimization, and self service enablement Collaborate with delivery, platform, and process stakeholders to ensure architectural alignment Provide architectural guidance during transition, transformation, and run phases.<br> 6 -9 years of experience as a Tool Architect or Solution Architect in Enterprise Service Management Hands on experience with ServiceNow architecture and multi module implementations Strong understanding of ITIL / SIAM / Service Management frameworks Experience designing scalable, enterprise wide tool landscapes Strong stakeholder management and communication skill</span> </div>

About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: C#Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. 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. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<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 the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: C#Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. 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. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<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 the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: C#Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. 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. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<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 the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: C#Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. 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. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<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 the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: C#Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. 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. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<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 the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: C#Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. 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. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<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 the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: C#Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. 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. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<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.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><em><strong>This role is open to candidates based in LATAM, Africa, and Eastern Europe. Please note that as this role supports U.S.-based clients, candidates must be available to work during U.S. business hours aligned with the client’s time zone.</strong></em></p><br><p>Our client is a growing construction-focused company supporting commercial projects across multiple sectors, including schools, hotels, and industrial buildings. They are seeking an MEP Estimator to support project bidding, cost analysis, and estimating efforts for large-scale commercial MEP systems.</p><br>Location<p>Fully remote | 9 AM - 5 PM EST</p><br>Role Overview<p>The MEP Estimator will perform take-offs, prepare estimates for commercial MEP systems, and support competitive bids for large-scale construction projects. This role focuses primarily on plumbing and electrical systems while collaborating closely with project managers, engineers, and contractors to ensure accurate and timely project estimates.</p><br>Key ResponsibilitiesEstimating &amp; Take-Offs<ul><li><p>Perform detailed take-offs for commercial MEP systems, primarily plumbing and electrical.</p><br></li><li><p>Prepare accurate estimates for projects including schools, hotels, and industrial facilities.</p><br></li><li><p>Review construction drawings and specifications to calculate material, labor, and equipment costs.</p><br></li></ul>Bidding &amp; Proposal Support<ul><li><p>Collaborate with project managers to prepare competitive project bids.</p><br></li><li><p>Identify potential project risks and include contingencies within estimates.</p><br></li><li><p>Ensure timely submission of estimates for project opportunities.</p><br></li></ul>Software &amp; Tools<ul><li><p>Utilize estimating and take-off software including Plan Hub, Build Connect, Blue Beam, and Stack.</p><br></li><li><p>Maintain organized digital records of estimates, drawings, and project documentation.</p><br></li><li><p>Apply software tools to improve estimating accuracy and workflow efficiency.</p><br></li></ul>Collaboration &amp; Communication<ul><li><p>Work closely with project managers, engineers, and contractors to confirm project scope and requirements.</p><br></li><li><p>Provide input regarding project feasibility, materials, and scheduling considerations.</p><br></li><li><p>Support procurement and project planning through detailed cost breakdowns and estimating documentation.</p><br></li></ul>QualificationsExperience<ul><li><p>2+ years of experience as an MEP Estimator within commercial construction environments.</p><br></li><li><p>Experience estimating plumbing and electrical systems for commercial projects.</p><br></li><li><p>Experience working with estimating and take-off software platforms.</p><br></li></ul>Skills<ul><li><p>Strong knowledge of plumbing and electrical systems.</p><br></li><li><p>Proficiency with Plan Hub, Build Connect, Blue Beam, Stack, or similar estimating tools.</p><br></li><li><p>Strong analytical, organizational, and problem-solving abilities.</p><br></li><li><p>Ability to manage multiple estimating projects and deadlines efficiently.</p><br></li><li><p>Excellent communication and collaboration skills.</p><br></li></ul>What Success Looks Like<ul><li><p>Accurate and timely estimates delivered across assigned commercial projects.</p><br></li><li><p>Successful bid submissions with minimal errors or omissions.</p><br></li><li><p>Efficient and organized estimating workflows using industry software tools.</p><br></li><li><p>Strong collaboration with project teams to ensure scope clarity and estimate accuracy.</p><br></li></ul>Opportunity<p>This is an exciting opportunity to join a growing construction team and play a direct role in supporting project planning, bidding, and profitability across commercial MEP projects. The MEP Estimator will contribute to winning key projects while working in a fast-paced and collaborative construction environment.</p><br><strong><u>Application Process:</u></strong>To be considered for this role these steps need to be followed:<ul><li><p>Fill in the application form</p><br></li><li><p>Record a video showcasing your skill sets</p><br></li></ul> </div>

About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: C#Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. 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. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<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 the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: C#Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. 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. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<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 the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: C#Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. 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. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<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 the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.<br>About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public Git Hub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality<br>Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.<br>What does day-to-day look like:Analyze and triage Git Hub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects.<br>Required Skills:Minimum 3+ years of overall experience Strong experience with at least one of the following languages: C#Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.<br>Nice to Have:Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. 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. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type: Contractor assignment (no medical/paid leave)<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.

Founded in 2003 and headquartered in Singapore, Group-IB is a leading creator of cybersecurity technologies to investigate, prevent, and fight digital crime. Combating cybercrime is in the company’s DNA, shaping its technological capabilities to defend businesses, citizens, and support law enforcement operations. Group-IB’s Digital Crime Resistance Centers (DCRCs) are located in the Middle East, Europe, Central Asia, and Asia-Pacific to help critically analyze and promptly mitigate regional and country-specific threats. These mission-critical units help Group-IB strengthen its contribution to global cybercrime prevention and continually expand its threat-hunting capabilities.<br>ABOUT THE ROLEWe are looking for a Reverse Engineering Technical Lead to lead a small but high-impact squad of reverse engineers focused on supporting customer-driven investigations, DFIR engagements with malware reversing expertise, and threat intelligence production. The role is responsible for managing and mentoring a squad of reverse engineers, ensuring high-quality technical analysis, and enabling the team to deliver actionable intelligence and reversing support across customer RFIs, incident response cases, malware investigations, and Middle East threat landscape research. This position combines deep technical reverse engineering expertise, team leadership, and research-driven threat intelligence contribution.<br>YOUR MISSION1. Squad Leadership and Technical Management Lead and mentor a squad of reverse engineers, ensuring clear priorities, quality output, and continuous technical growth. Responsibilities include:Assigning and prioritizing reverse engineering tasks based on customer RFIs, DFIR needs, and threat intelligence requirements. Reviewing technical analysis, reports, YARA rules, configuration extractors, and malware capability assessments. Defining analysis depth based on case priority, from basic triage to deep code-level reversing. Ensuring the squad maintains strong documentation, reusable knowledge, and consistent analytical standards. Coaching team members on advanced reversing techniques, tooling, automation, and research methodology.2. Threat Intelligence Generation Contribute to threat intelligence production focused on the Middle East threat landscape, including cybercriminal, hacktivist, and APT activity. The role should help transform reverse engineering findings into intelligence outcomes such as:Malware profiles. Threat actor capability assessments. Campaign or cluster analysis. Technical blogs, spot reports, and internal intelligence notes. Detection logic and hunting leads. Comparisons between new samples and known regional threat activity. A key expectation is to connect technical malware findings with broader intelligence context, including victimology, targeting, infrastructure, tactics, and regional relevance.3. R&D and Capability Development Drive improvements in software reverse engineering workflows through tooling, automation, and process development. Areas of contribution may include:Automated malware triage pipelines. Configuration extractors. Similarity analysis workflows. YARA generation and validation pipelines. Sandbox integration. IDA/Ghidra/Binary Ninja scripting. Internal knowledge bases and malware profile enrichment. AI-assisted reverse engineering experiments. Repeatable workflows for L1/L2/L3 malware analysis. The ideal candidate should be able to identify bottlenecks in the reversing process and propose practical automation or tooling improvements<br>WHAT WE ARE LOOKING FORThe candidate should have strong hands-on experience in:Malware reverse engineering on Windows and Linux. Static and dynamic analysis.x86/x64 assembly and common compiler patterns. Debugging, unpacking, deobfuscation, and anti-analysis bypass. Malware families such as loaders, stealers, RATs, ransomware, backdoors, droppers, and webshells. IDA Pro, Ghidra, Binary Ninja, x64dbg, Win Dbg, GDB, or similar tools. Scripting with Python for automation and analysis. YARA rule writing and validation. Malware configuration extraction. Behavioral analysis and capability mapping. Understanding of MITRE ATT&CK and threat intelligence concepts. This is not only a senior reverse engineering role. It is a technical leadership role. The candidate should be able to:Lead by technical example. Review and improve team output. Translate complex reversing findings into clear intelligence value. Help junior and mid-level reverse engineers grow. Coordinate with DFIR, threat intelligence, detection engineering, and customer-facing teams. Balance deep technical research with customer delivery timelines. Build repeatable processes rather than solving every case manually. Maintain quality under pressure during urgent investigations.<br>WHAT SETS YOU APARTExcellent technical reporting and documentation skills. Ability to convert complex technical findings into actionable business intelligence.<br>WHY CHOOSE GROUP-IBGroup-IB is a global leader in cybersecurity technologies that investigate, predict, prevent, and fight digital crime. We help organizations reduce risk and protect trust. Trusted by governments, major industries, and law enforcement, we deliver adversary-focused, predictive threat intelligence and cyber fraud fusion solutions that detect, analyse, and mitigate regional and country-specific digital crimes. Work with real stakes. Group-IB investigates active cybercriminal groups, responds to breaches affecting critical infrastructure, and develops technologies used by law enforcement agencies including INTERPOL, Europol, and Afripol across 60+ countries. We've conducted 1,550+ cybercrime investigations alongside 600+ enterprise customers globally. When you join Group-IB, your work directly disrupts digital crime. Grow your way. Choose your own path: deepen your craft as a technical expert, step into leadership, move across to another team, or relocate to one of our Digital Crime Resistance Centers across the Americas, Europe, the Middle East & Africa, Central Asia, and the Asia-Pacific. Your growth is our growth — Group-IB's expansion across 60+ active country operations means real career acceleration. We fund professional certifications at company expense — whether you're pursuing CEH, CISSP, OSCP, or specialized certifications in forensics and penetration testing. You don't have to choose between doing the job and advancing your credentials. Work alongside industry leaders. Our Unified Risk Platform — Threat Intelligence, Digital Risk Protection, Attack Surface Management, Managed XDR, and more — is recognized by Gartner, Forrester, Kuppinger Cole, and Datos Insights. Frost & Sullivan named us a 2025 Global Technology Innovation Leader. When you work here, you're building technologies that set the industry standard. Real challenges, real expertise. You'll take on complex, real-world problems alongside adversary-centric researchers and incident response experts spread across six continents. We've built 21+ years of proprietary telemetry through 1,500+ joint investigations. No two threats look alike — and neither do the skills you'll develop. A team that is genuinely international. Our people come from different countries, speak different languages, and bring different perspectives. What connects us is a shared mission: fighting cybercrime and making the world safer. We care about your wellbeing and happiness as much as your output.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>TheSoul Group is a global media company with over a decade of experience building and operating digital businesses at scale.<br> With a presence across 60 platforms, content distributed in 21 languages, and more than 100 billion monthly views, we have established one of the largest and most operationally sophisticated media footprints in the world.<br> Our remote-first team, spanning 85+ countries, has grown by solving — at real scale — the exact organisational and operational challenges most companies struggle with.<br> That operational depth is the foundation of Valis — TheSoul Group's brand new business and AI platform for enterprise transformation.<br> Valis is an institutional AI operating layer for mid-market organisations (roughly 200–2,000 employees).<br> It sits across a company's systems, runs one shared, org-wide "brain" on everything the company knows, and applies encoded operator judgment on every answer — so the value of AI compounds for the company, not just for individuals using per-seat chatbots.<br> Valis is already proven in production — built from real transformation work, encoding operational experience rather than theory — and we are now scaling its deployment to mid-market companies worldwide.<br> We are seeking a Client Deployment Lead, AI to embed on-site alongside mid-market CEOs and make their AI-Native transformation real on the ground.<br> You work as a tight pod: you on-site owning the CEO relationship and the result and you drive the rollout to a finance-verified outcome, with elite remote engineers shipping the product configuration behind you.<br> Every CEO who watches you land the transformation becomes the proof that wins the next one.<br> This role is the engine of our go-to-market.<br> Responsibilities Own the client-CEO relationship and the executive steering committee — as a peer, with real decision rights.<br> Run the transformation cadence: weekly reviews, monthly finance-verified value reviews, and quarterly business reviews.<br> Drive a fast, fixed-scope first win on the client's real data, then lead the full rollout (leadership first, then the wider team).<br> Translate client problems into crisp, build-ready specs for remote engineers; own adoption and sign-off.<br> Be personally accountable for a finance-verified outcome the client can see in their P&amp;L.<br> Build a portfolio of 2–3 marquee CEO accounts as each engagement matures.<br> Own end-to-end rollout management — from kick-off through adoption, sign-off, and handover — ensuring every phase lands on time and to a measurable outcome.<br> Codify the method after each deployment so the next one requires less ramp-up.<br> Compensation: A competitive base calibrated to your market and seniority, plus a performance bonus tied to delivered outcomes.<br> Equity: Meaningful, founder-tier ownership — this is the real upside, and it's sized to match.<br> Authority: Real decision rights and an interim-executive mandate inside the client where granted.<br> You own the result.<br> Trajectory: A portfolio of marquee CEO relationships and a clear path to Regional GM for MENA.<br> Location: On-site with the client during deployment (~30–60% travel across the MENA region); your home base is flexible.<br> Why AI makes this seat more valuable, not less: Valis automates the coordination, reporting and status layer of a company.<br> This role sits on the other side of that line: CEO trust, judgment under ambiguity, and accountability for a real outcome are exactly what don't automate.<br> As the platform gets stronger, the seat compounds in leverage — it doesn't erode.<br> We appreciate your interest in our job opportunities and our company.<br> Our team carefully evaluates each application to identify the most suitable candidates for the role.<br> Due to the high volume of applications received, we may not be able to respond to every applicant.<br> However, if your qualifications align with our requirements, we will contact you to discuss the next steps in the selection process.<br> A track record of owning real outcomes — you have moved a P&amp;L or shipped a transformation, not just advised on one.<br> CEO-room presence: ability to sit across from a mid-market CEO as a peer and earn organisational trust quickly.<br> Technically literate enough to prototype, spec work, and direct engineers — you shape the solution, you don't wait for one.<br> You thrive in ambiguity — operating effectively with incomplete information, shifting requirements, and no fixed playbook.<br> Willing and energised to be on-site with clients (~30–60% travel).<br> Likely background: top-tier strategy firm (Engagement Manager → Associate Partner) or a proven in-house transformation operator.<br> Hands-on experience with AI / data tooling is a strong plus.<br></span> </div>

Responsibilities:Identify and develop new business opportunities Manage the full sales cycle (lead generation, proposals, follow-up) Build strong relationships with customers and partners Coordinate with presales and technical teams to deliver accurate solutions Achieve monthly and quarterly sales targets Prepare and deliver accurate sales forecasts and reports. Handle customer inquiries and resolve issues in a timely and professional manner. Negotiate contracts, terms, and pricing with clients Complete full product training on UPS systems, data center solutions, and batteries Gain full understanding of MPS Egypt’s internal processes (quotations, delivery cycle, invoicing, coordination with presales) Ability to qualify leads and prepare initial technical assessments Confidence in presenting UPS and data center solutions to customers Strong follow-up discipline with accurate documentation Improve communication with internal teams (presales, logistics, finance) Shadow the sales manager and senior sales engineers in customer meetings Conduct customer visits (existing and new accounts) Generate a minimum number of qualified leads