Materials Engineer Jobs

About the role:SBS Protech is looking for a Technical Sales Engineer to support our business growth across Fire & Gas, Fire Alarm, and Industrial Safety Systems projects within the Oil & Gas, Industrial, Energy, and Infrastructure sectors.<br>Main Responsibilities:Develop new business opportunities and generate qualified leads. Build and maintain relationships with clients, consultants, and EPC contractors. Prepare technical and commercial proposals. Participate in tendering and contract negotiation activities. Coordinate with engineering and project teams to develop customer solutions. Achieve assigned sales targets and support market expansion initiatives. Monitor market trends and competitor activities.<br>Key Requirements:Bachelor's Degree in Electrical, Electronics, Instrumentation & Control, Mechatronics, or a related Engineering discipline. Minimum 3 years of experience in Technical Sales, Business Development, Tendering, or Proposal Engineering. Experience with Fire & Gas Systems, Fire Alarm Systems, Gas Detection Systems, or Industrial Safety Solutions. Experience dealing with EPC contractors, consultants, and industrial clients. Strong proposal preparation, tendering, and negotiation skills. Excellent communication and relationship management abilities.<br>To apply, please send your updated CV to: youssef.akram@sbsprotech.comEmail Subject: SAL-TSE-BF-ENG-0626-015

About the role:SBS Protech is looking for a Technical Sales Engineer to support our business growth across Fire & Gas, Fire Alarm, and Industrial Safety Systems projects within the Oil & Gas, Industrial, Energy, and Infrastructure sectors.<br>Main Responsibilities:Develop new business opportunities and generate qualified leads. Build and maintain relationships with clients, consultants, and EPC contractors. Prepare technical and commercial proposals. Participate in tendering and contract negotiation activities. Coordinate with engineering and project teams to develop customer solutions. Achieve assigned sales targets and support market expansion initiatives. Monitor market trends and competitor activities.<br>Key Requirements:Bachelor's Degree in Electrical, Electronics, Instrumentation & Control, Mechatronics, or a related Engineering discipline. Minimum 3 years of experience in Technical Sales, Business Development, Tendering, or Proposal Engineering. Experience with Fire & Gas Systems, Fire Alarm Systems, Gas Detection Systems, or Industrial Safety Solutions. Experience dealing with EPC contractors, consultants, and industrial clients. Strong proposal preparation, tendering, and negotiation skills. Excellent communication and relationship management abilities.<br>To apply, please send your updated CV to: youssef.akram@sbsprotech.comEmail Subject: SAL-TSE-BF-ENG-0626-015

<ul><li>Job Description</li><li>We are seeking a skilled and proactive DevOps &amp; Deployment Engineer to join our growing technology team. The ideal candidate will be responsible for managing cloud infrastructure, automating deployment processes, maintaining CI/CD pipelines, and ensuring the reliability, security, and scalability of our applications and services.</li><li>The successful candidate will work closely with software developers and technical teams to streamline development workflows, optimize system performance, and support enterprise-grade cloud environments.</li><li>Key Responsibilities</li><li>Design, implement, and maintain CI/CD pipelines.</li><li>Deploy, monitor, and maintain web applications across development, staging, and production environments.</li><li>Manage and optimize Linux servers and cloud infrastructure.</li><li>Configure and maintain Docker containers and containerized environments.</li><li>Monitor system performance, availability, and security.</li><li>Implement backup, disaster recovery, and infrastructure security best practices.</li><li>Troubleshoot deployment, infrastructure, and production issues.</li><li>Manage web servers, SSL certificates, DNS configurations, and load balancers.</li><li>Collaborate with development teams to improve deployment efficiency and system reliability.</li><li>Ensure high availability, scalability, and operational excellence across all environments.</li><li>Join us and become part of a dynamic team building innovative technology solutions powered by modern cloud infrastructure and DevOps practices.</li></ul>

Role: Senior Technical Engineer (Cisco ISE, Telephony, Zscaler) Experience: 4 to 10years Location: Egypt Cairo Notice Period: Immediate to 30 Days JD: Network Access Control (Cisco ISE): Operate and optimize ISE (802.1X/MAB, profiling, posture); drive policy changes, device onboarding, and certificate lifecycle.• Telephony/Voice: Support and enhance enterprise telephony (SIP trunks, SBCs, call routing/IVR); coordinate with carriers and UC platforms.• Secure Web Access (Zscaler): Administer ZIA/ZPA policies, authentication/IdP integrations, tunnels (GRE/IPSec), and monitor performance. Operational Integration: Validate designs, activate configurations, and run SAT/CAT; ensure seamless integration with LAN/WAN/SD-WAN.<br>Skills and Qualifications• Cisco ISE / NAC expertise including policy sets, posture, profiling, and PKI.• Telephony & Voice: SIP, RTP, SBCs, IVR/ACD, call routing, and end-to-end troubleshooting.• Zscaler (ZIA/ZPA): Policy admin, authentication, tunnels, and client connector.• Routing/Switching & SD-WAN: BGP/OSPF/VRRP/HSRP, QoS, VLAN/VXLAN, Cisco platforms, SD-WAN.• Operational Excellence: L3 NOC support, ITIL processes, strong communication, RCA capability.

We’re Hiring | Sales Engineer<br>Kitchino is looking for a Sales Engineer to join our new branch in Hurghada.<br>We’re searching for someone with experience in kitchens and dressing rooms, and a strong passion for premium interior solutions and client engagement.<br>━━━━━━━━━━━━━━━━━━<br>Key Responsibilities<br>▪ Deliver a premium showroom and customer experience▪ Understand client requirements and recommend customized kitchen and dressing solutions▪ Prepare quotations and project proposals▪ Coordinate with design, production, and installation teams▪ Follow up with clients and close deals professionally<br>━━━━━━━━━━━━━━━━━━<br>Qualifications<br>▪ Minimum 2 years of experience in kitchens or dressing rooms sales▪ Bachelor’s degree in Applied Arts, is a Must▪ Ability to understand layouts and technical drawings▪ Strong communication and presentation skills▪ Customer-oriented mindset with attention to detail<br>━━━━━━━━━━━━━━━━━━<br>What We Offer<br>▪ Competitive salary + attractive commission scheme▪ Professional training and development▪ Career growth opportunities▪ Professional and dynamic work environment▪ Accommodation provided for candidates from outside Hurghada<br>━━━━━━━━━━━━━━━━━━<br>Apply Now Send your CV to:[cv@kitchino.net]WhatsApp: 01282109712

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for a Senior Fortinet Security Engineer with hands-on experience in FortiGate, FortiAnalyzer, and FortiManager to support security compliance implementation across multiple retail outlets.<br> The role involves centralized firewall management, monitoring, troubleshooting, and supporting enterprise security operations.<br> Key Responsibilities: Deploy, configure, and manage FortiGate Firewalls Configure and manage FortiAnalyzer for monitoring and reporting Manage centralized firewall administration using FortiManager Implement firewall policies, VPNs, security profiles, and access controls Perform troubleshooting and resolve network/security incidents Support compliance rollout and security standardization activities Coordinate with infrastructure and project teams during implementations Maintain documentation, reports, and operational procedures Minimum 6 years of hands-on experience with Fortinet Security solutions including FortiGate, FortiAnalyzer, and FortiManager.<br> Strong hands-on experience with FortiGate Firewalls Strong experience with FortiAnalyzer Mid-to-strong level experience with FortiManager Good understanding of enterprise network security Experience with firewall HA, policy management, VPNs, and logging Strong troubleshooting and implementation skills Experience in retail or enterprise environments is preferred Preferred Certifications: Fortinet NSE Certifications are highly preferred</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking an experienced Fortinet Security Engineer to support compliance and security rollout activities across retail outlets in Dubai.<br> The ideal candidate will have strong hands-on experience with FortiGate firewalls and FortiAnalyzer, with the ability to manage security configurations, monitoring, troubleshooting, and reporting activities in enterprise environments.<br> Key Responsibilities: Configure, deploy, and troubleshoot FortiGate Firewalls Manage firewall policies, NAT, VPNs, routing, and security profiles Monitor and analyze security logs using FortiAnalyzer Support compliance and security implementation across retail branches Perform troubleshooting and incident resolution Ensure security best practices and policy compliance Work closely with project and infrastructure teams during rollout activities Prepare technical documentation and implementation reports Strong hands-on experience with Fortinet FortiGate Firewalls Strong experience with FortiAnalyzer Good understanding of network security concepts Experience with VPNs, IPS, Web Filtering, and Security Policies Knowledge of routing and switching concepts Experience in enterprise or retail environments is preferred Strong troubleshooting and communication skills Preferred Certifications: NSE Certification is a plus</span> </div>

???? We’re Hiring: Senior Industrial Engineer<br>Location: Al-Amerya Public Free Zone, Alexandria Company: Rubyred (FETIH TEKSTIL).<br>Key Responsibilities:Plan, organize, and coordinate production activities to achieve targets while maintaining high-quality standards. Optimize production processes to improve efficiency and minimize waste. Collaborate with maintenance teams to ensure smooth and continuous equipment operation. Conduct time and motion studies to identify and resolve workflow bottlenecks. Develop and implement Standard Operating Procedures (SOPs) to enhance consistency and productivity. Train and mentor production staff on best practices and operational procedures.<br>Job Requirements:• Bachelor’s degree in Industrial Engineering or a related field.• 6+ years of experience in garment manufacturing or the textile industry.• Strong understanding of production processes and lean manufacturing principles.• Familiarity with production planning and statistical analysis tools.• Excellent problem-solving, adaptability, and teamwork skills.• Strong communication and organizational abilities.• Good command of English.• Proficiency in Microsoft Office.<br>For those who are interested, kindly send your CV to: hrbranch@rubyredgarment.comEmail Subject: (Senior Industrial Engineer)

What started in 2007 with a pizza and a plan has grown into a fast-moving Saa S company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce. <br><br>Our mission is simple: help businesses build stronger relationships through seamless digital commerce. <br><br>At Sana Commerce, you’ll join a team that’s bold, growth-oriented, and customer-obsessed, where every engineer has real ownership and impact. <br><br>About the role <br><br>We’re looking for a Full Stack Senior Software Engineer who can help us build a high performance, scalable e-commerce platform. <br><br>You will be playing a critical role in expanding our product at speed, while building features that help our customers grow, and contributing to our initiative of bringing engineering excellence to a new level. <br><br><br><br>Job Description<br><br>What you'll be doing<br><br>Design and develop robust, scalable, and high-performance software systems using C#, . NET, Type Script (ES6), React.js, Redux, RxJS, Webpack, and Graph QLCollaborate with a cross-functional team to define, design, and ship new features Lead the system design, testing and coding standards efforts, contributing with clean & high-performance code and architecture Implement modern best practices and patterns in software engineering Mentor software engineers Conduct code reviews and ensure coding standards, best practices, and security guidelines are implemented Troubleshoot, debug, and upgrade existing software Stay up to date with emerging trends and technologies in software development to continuously improve our products and processes <br><br>Qualifications<br><br>What you'll bring: <br><br>Bachelor’s degree in Computer Engineering 5+ years of experience in software development, with a strong background in web development using C#, . NET and React You have a strong engineering mindset and experience in having end to end ownership of the software you build (Dev Ops, testing, system design, observability, git version control) You have solid experience with reactive programming principles and flux architecture You have designed scalable, complex systems based on services-oriented architecture, on cloud (Azure Cloud preferred) and you are familiar with event driven architecture and domain driven design You have a strong drive to continuously improve your craft You have a passion for mentoring and guiding team members You’ve fully embraced generative AI tools, and you’ve found your way using AI to help you be a high-performing engineer, deliver faster and at a higher quality You are experienced in working in an agile environment You have excellent problem-solving skills Your communication and teamwork skills enable you to effectively collaborate with cross-functional teams and find solutions to new challenges Why you’ll love working here<br><br>Impact from day one – Join a scale-up where your ideas shape how global businesses operate online. Continuous learning – Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture. Hybrid flexibility – Work from our Alexandria office 3 days per week and from home 2 days. Career growth – Expand your technical and leadership scope in a company built for long-term success. Our values<br><br>At Sana Commerce, our values drive everything we do:<br><br>Champions of Our League – We deliver lasting success, balancing quick wins and long-term value Supercharge Our Customers – We’re revolutionizing B2B commerce together, helping our customers to lead and succeed. Determined to Grow – We embrace challenges, growing and raising the bar for ourselves and our industry. Bold Together – We dare to be bold because we have each other’s back. Ready to build reliability that scales?<br><br>Apply now and help shape the foundation of our next-generation Saa S platform.<br><br><br><br>Additional Information

What started in 2007 with a pizza and a plan has grown into a fast-moving Saa S company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce. <br><br>Our mission is simple: help businesses build stronger relationships through seamless digital commerce. <br><br>At Sana Commerce, you’ll join a team that’s bold, growth-oriented, and customer-obsessed, where every engineer has real ownership and impact. <br><br>About the role <br><br>We’re looking for a Full Stack Senior Software Engineer who can help us build a high performance, scalable e-commerce platform. <br><br>You will be playing a critical role in expanding our product at speed, while building features that help our customers grow, and contributing to our initiative of bringing engineering excellence to a new level. <br><br><br><br>Job Description<br><br>What you'll be doing<br><br>Design and develop robust, scalable, and high-performance software systems using C#, . NET, Type Script (ES6), React.js, Redux, RxJS, Webpack, and Graph QLCollaborate with a cross-functional team to define, design, and ship new features Lead the system design, testing and coding standards efforts, contributing with clean & high-performance code and architecture Implement modern best practices and patterns in software engineering Mentor software engineers Conduct code reviews and ensure coding standards, best practices, and security guidelines are implemented Troubleshoot, debug, and upgrade existing software Stay up to date with emerging trends and technologies in software development to continuously improve our products and processes <br><br>Qualifications<br><br>What you'll bring: <br><br>Bachelor’s degree in Computer Engineering 5+ years of experience in software development, with a strong background in web development using C#, . NET and React You have a strong engineering mindset and experience in having end to end ownership of the software you build (Dev Ops, testing, system design, observability, git version control) You have solid experience with reactive programming principles and flux architecture You have designed scalable, complex systems based on services-oriented architecture, on cloud (Azure Cloud preferred) and you are familiar with event driven architecture and domain driven design You have a strong drive to continuously improve your craft You have a passion for mentoring and guiding team members You’ve fully embraced generative AI tools, and you’ve found your way using AI to help you be a high-performing engineer, deliver faster and at a higher quality You are experienced in working in an agile environment You have excellent problem-solving skills Your communication and teamwork skills enable you to effectively collaborate with cross-functional teams and find solutions to new challenges Why you’ll love working here<br><br>Impact from day one – Join a scale-up where your ideas shape how global businesses operate online. Continuous learning – Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture. Hybrid flexibility – Work from our Alexandria office 3 days per week and from home 2 days. Career growth – Expand your technical and leadership scope in a company built for long-term success. Our values<br><br>At Sana Commerce, our values drive everything we do:<br><br>Champions of Our League – We deliver lasting success, balancing quick wins and long-term value Supercharge Our Customers – We’re revolutionizing B2B commerce together, helping our customers to lead and succeed. Determined to Grow – We embrace challenges, growing and raising the bar for ourselves and our industry. Bold Together – We dare to be bold because we have each other’s back. Ready to build reliability that scales?<br><br>Apply now and help shape the foundation of our next-generation Saa S platform.<br><br><br><br>Additional Information

We are seeking a technical and customer-focused Security Implementation Engineer to join our growing team. This role is central to our customer success mission, responsible for the end-to-end technical integration of new clients into COGNNA's security monitoring Platform. The ideal candidate is a hands-on expert with major SIEM/Security platforms and possesses deep system administration skills across Linux, Windows, and cloud environments, enabling them to independently troubleshoot and resolve complex integration challenges.<br><br>???? Key Responsibilities<br><br>???? Client Onboarding & Implementation:<br><br>Lead the technical onboarding process for new customers, from initial kick-off to full operational status Integrate customer log sources (e.g., firewalls, servers, cloud platforms, applications) with our security data lake Develop and configure custom parsers and data connectors to ensure accurate data ingestion and normalization<br><br>????️‍♂️ System Administration & Troubleshooting:<br><br>Utilize deep expertise in Linux and Windows Server to troubleshoot agent installations, log forwarding configurations, and connectivity issues directly on customer systems Act as the primary technical resource for diagnosing and resolving complex infrastructure and OS-level issues that impede data collection Contribute to the continuous improvement of our onboarding processes, creating documentation and automation scripts to increase efficiency<br><br>???? Security Advisory & Customer Success:<br><br>Serve as a trusted technical advisor to clients during the onboarding phase, providing guidance on logging best practices and security architecture Work closely with the Security Operations Center (SOC) and account managers to ensure a seamless handover of clients upon successful onboarding<br><br>Requirements<br><br>???? Experience:<br><br>Hands-on experience in a technical cybersecurity role (e.g., SOC Engineer, SIEM Engineer, Security Consultant)3+ with direct responsibility for technical implementation or support Proven experience managing and troubleshooting both Linux (e.g., Ubuntu, Cent OS) and Windows Server environments in a production setting<br><br>???? Technical Skills:<br><br>SIEM: Expertise with major SIEM platforms. Experience with systems like Splunk, Microsoft Sentinel, Elastic Search, or Google Sec Ops is essential Operating Systems: Deep proficiency in system administration, log management, and troubleshooting across Linux and Windows Scripting: Proficiency in at least one scripting language (e.g., Python, Bash, Power Shell) for automation and parsing Security Concepts: Strong knowledge of network security architecture, cloud security (AWS, Azure, GCP), and security devices (Firewalls, IDS/IPS, EDR) Google Cloud and management of Google Sec Ops experience<br><br>???? Soft Skills:<br><br>Exceptional problem-solving skills with the ability to work independently Strong communication and interpersonal skills, with an ability to articulate technical concepts to diverse audiences A proactive, detail-oriented, and self-motivated work ethic<br><br>Benefits<br><br>???? Impact that Matters - Build products that shape the future of cybersecurity and protect organizations globally.<br><br>???? Continuous Growth - Access to certifications, trainings, and opportunities to sharpen your expertise.<br><br>???? Ownership Mindset - Benefit from our benefits program and grow with COGNNA's success.<br><br>???? Culture of Trust - We empower talent, encourage ownership, and celebrate real outcomes.

Unicon Company has been in the water / waste water and firefighting station market for over 15 years. We are dedicated to providing high-quality solutions and exceptional customer service. As we expand our team, we are looking for a talented Installation & Commissioning Engineer to join us with Avery competitive salary and benefits.<br>Key Responsibilities:Supervise the installation of all types of pumping systems and related electromechanical equipment, Manage site installation activities, ensuring compliance with project specifications, quality standards, and safety requirements, Lead testing, commissioning, start-up, and performance verification of pumping systems, Coordinate with consultants, contractors, and clients during installation and commissioning, Review shop drawings, installation procedures, and technical documentation and Prepare site reports and provide technical support to the Sales and Projects departments, Supervise subcontractors and installation teams. Required Qualifications:B. Sc. in Mechanical or Electrical Engineering. Minimum of 2-5 years of practical experience in pump installation and commissioning. Solid experience in Water and Wastewater Pumping Stations. Strong knowledge of electrical control panels, MCCs, Variable Frequency Drives (VFDs), Soft Starters, and motor control systems. Ability to troubleshoot mechanical and electrical issues during commissioning. Good knowledge of international standards and site safety procedures. Excellent communication skills and willingness to travel to project sites across Egypt.also, we are looking for firefighting sales engineer Key Responsibilities:Develop new business opportunities in the Firefighting market, Promote and sell Fire Pump Packages and Firefighting Systems, Build and maintain strong relationships with consultants, contractors, developers, and end users, prepare technical and commercial quotations, follow up on submitted offers and negotiate to secure orders, Coordinate with the technical and procurement teams to ensure customer satisfaction, Achieve assigned sales targets and provide regular sales reports. Qualifications:Bachelor’s Degree in Mechanical Engineering.1–5 years of experience in Firefighting sales. Good knowledge of NFPA Standards and Fire Pump Systems. Experience dealing with consultants, contractors, and project sales. Strong communication, presentation, and negotiation skills. Good command of English (written and spoken). Valid driving license is preferred. Also, we are looking for water utilites sales engineer Key Responsibilities:Actively engage consultants and EPC contractors on upcoming projects, penetrate new water/wastewater and industrial accounts, Support the shift toward offering Integrated Water Solutions rather than individual products, prepare technical proposals and participate in bid preparation for government and EPC projects, maintain relationships with existing clients and ensure customer satisfaction. Required Qualifications:Bachelor’s degree in Mechanical Engineering, Industrial Engineering, or a related field. Minimum 3 years’ sales experience specifically in pumps, valves, or rotating equipment. Strong technical understanding of various pump types and applications. Excellent communication skills in Arabic and English. Must own a personal car and hold a valid driver's license. Proficiency in MS Office; CRM experience is a plus.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We're looking for a driven DevOps Engineer to automate, scale, and secure our infrastructure while championing engineering best practices across the team. You'll own the full stack from cloud architecture to on-call operations and play a key role in shaping Bayzat's engineering culture. Some high-impact responsibilities you will be entrusted with:</p><ul><li>Automate tools to reduce repeating efforts of processes</li><li>Develop high quality software that is scalable and secure</li><li>Build tools and integrations that monitor and create alerts</li><li>Adapt cloud best practices</li><li>Troubleshoot errors across the entire stack - from software to hardware to cloud resources</li><li>Spread Dev-Ops culture across company</li><li>Continuously improve your technical and soft skills</li><li><br></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>3+ years experience in at least one programming language: Java, Python, Golang, or TypeScript</li><li>Strong interpersonal and communication skills in English</li><li>BS degree in Computer Science/Engineering or related technical field</li><li>Strong understanding of CS fundamentals such as data structures and algorithms</li><li>Strong debugging and troubleshooting skills</li><li>Strong experience and understanding of Git</li><li>Experience with Unix-like systems and Bash scripting</li><li>Experience with application packaging using Docker</li><li>Experience with infrastructure-as-code tools (Terraform)</li><li>Understanding of network stack basics</li><li>Solid AWS fundamentals with hands-on experience (EC2, S3, IAM, VPC, and related services)</li><li>Familiarity with Agile software development methodologies</li><li>A mindset for operational excellence</li></ul><p><strong>Nice to haves:</strong></p><ul><li>Familiarity with container orchestration technologies (Kubernetes, AWS ECS)</li><li>Familiarity with CI/CD concepts and tools (GitHub Actions)</li><li>Experience with building developer tooling and developer experience (DX)</li><li>An ability and desire to mentor and coach engineers</li><li>A deep understanding of Observability (monitoring, logging, and tracing) standard methodologies</li></ul><p></p></section>

<h2>&nbsp;</h2><ul><li><p>Ensure the issuing of project schedule whether in tender or construction phase with the most appropriate planning methodology.</p></li></ul><p>&nbsp;</p><ul><li><p>Monitor the project progress to assure that the project progress complies with the estimated base line schedule to ensure and align that all the projects’ planning process are implemented based on the planning procedures.</p></li></ul><p>&nbsp;</p><ul><li><p>Deliver a complete suite of cost-control services and financial support for projects.</p></li></ul><p>&nbsp;</p><ul><li><p>Ensures the use of the project cost control strategy, plans and procedures, reflecting both Company and contractor roles and responsibilities and ensuring the adherence to the safety, environmental, financial, business and project guidelines.</p></li></ul><p>&nbsp;</p><ul><li><p>Handling all different multiple projects for the company regarding all the engineering planning activities.</p></li></ul><p>&nbsp;</p><ul><li><p>Review, develop the baseline schedule/recovery/ Tender schedule and assign the project resources in details as well as the costs &amp; Cash flow.</p></li><li><p>Review summary report and any prepared data issued by the Planning Engineer necessary to develop the project’s schedule.</p></li></ul><p>&nbsp;</p><ul><li><p>Produces Plans, Programmers and Projects, controls information, sets the performance baselines</p></li><li><p>Monitors project performance against performance baselines</p></li><li><p>Recommends, enables and controls future actions of consultants and contractors</p></li><li><p>Understands and works within contractual frameworks</p></li><li><p>Reports internally and to clients</p></li><li><p>Can work across multiple projects simultaneously</p></li></ul><h2><strong>Duties and Responsibilities:</strong></h2><ul><li><p>Review and understand all relevant project documents and conditions</p></li><li><p>Develop in conjunction with the Project Manager and Client, a suitable work breakdown structure for the project</p></li><li><p>Establish and communicate cost and schedule baselines.</p></li><li><p>Review overall project status with the Project team.</p></li><li><p>Ensure that all cost, planning and document control reports are prepared in accordance with the Project Control Manual</p></li></ul><p></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.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>The Senior Full Stack Engineer builds the AHOY IoT platform end to end—from device telemetry ingestion and AWS infrastructure to the real-time web dashboard.<br> We are hiring two full-stack engineers who each own complete vertical slices of the product.<br> This model ensures speed and resilience at founding stage; each engineer takes features from sensor to dashboard.<br> The trade-off is a very high bar: true backend engineering and real frontend craft in the same person.<br> As the more senior hire, you will also act as technical lead, owning the platform architecture, AWS infrastructure, and key technology decisions.<br> Key Responsibilities Backend Core Services: Build multi-tenant services from scratch: device registration/auth, alert/rule engines, notifications, and device shadow (last-known-state) services.<br> Data Pipelines: Implement the MQTT ingestion path (EMQX broker), normalize telemetry, and persist it to time-series storage and Aurora PostgreSQL (with strict row-level security).<br> APIs &amp; Real-Time: Develop versioned REST APIs (OpenAPI) and real-time delivery paths via WebSockets for high-concurrency dashboard updates.<br> Frontend App Development: Build the platform web application in Next.<br>js + TypeScript, including monitoring dashboards, onboarding wizards, and multi-tenant admin portals.<br> High-Frequency Data: Render live telemetry and time-series visualizations (line, gauge, maps) without lag, page refreshes, or memory leaks.<br> UX &amp; UI Craft: Make independent UX choices in the absence of a designer; maintain a reusable component library from Day 1 with i18n scaffolding (Arabic RTL support).<br> Architecture Infrastructure as Code: Provision and maintain AWS environments (UAE region me-central-1 for data residency) using Terraform.<br> No click-ops.<br> Scale &amp; CI/CD: Set up GitHub Actions CI/CD pipelines, operate core infrastructure (Kafka, Redis, InfluxDB), and define horizontal scaling strategies for hundreds of thousands of devices.<br> Remote Discipline: Work autonomously with proactive documentation (ADRs, runbooks) and a minimum 4-hour daily overlap with UAE working hours.<br> Must-Have Requirements Experience: 5–9 years of full-stack engineering shipping production applications (portfolio required showing deep execution on both sides).<br> Expert Frontend: React/Next.<br>js with TypeScript; proven experience handling high-frequency data streams and virtualized lists via WebSockets.<br> (Non-Negotiable) Strong Backend: Production services in Node.<br>js/TypeScript and/or Python; strong data modeling and relational performance (PostgreSQL).<br> (Non-Negotiable) IoT &amp; Messaging: Genuine literacy in MQTT protocols (topics, QoS, LWT) and device connectivity concepts.<br> (Non-Negotiable) Cloud &amp; DevOps: Hands-on AWS infrastructure deployment and GitOps-driven Terraform workflows.<br> Data Viz: Proficiency in D3.<br>js, ECharts, or similar to build custom chart types and geospatial device maps.<br> Nice to Have - Go (Golang) for high-throughput backend services.<br> - Production-scale self-hosted MQTT brokers (EMQX, HiveMQ) beyond standard AWS IoT Core.<br> - Geospatial frameworks (Mapbox GL JS, Leaflet, Deck.<br>gl). - Kafka/MSK stream processing; Keycloak for RBAC/MFA.<br> - Industrial vertical exposure (cold chain, telematics, smart buildings, predictive maintenance).<br></span> </div>