Fire Fighting EngineerJobs

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

<p><h4>About us</h4> <p>Worley is a global company of energy, chemicals and resources experts headquartered in Australia. We partner with our customers to deliver projects and create value across the life of their assets. We specialize in consulting, engineering, procurement and construction across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating complexity as they meet today's needs and transition to more sustainable solutions.</p> <p>As a senior mechanical engineer (turbine island) you will be required to support the review and oversight of turbine island systems in a nuclear project, ensuring compliance, performance, and integration across design, construction, and commissioning phases.</p> <h4>Duties and responsibilities</h4> <ul> <li>Reviews and evaluates technical documentation, engineering studies and O&M documentation related to turbine island mechanical systems (e.g., steam supply, feedwater, and auxiliary systems).</li> <li>Assesses system performance, design compliance, and integration across disciplines within turbine island scope.</li> <li>Reviews analyses such as flow analysis, piping stress analysis, and finite element analysis pertinent to turbine island operations.</li> <li>Contributes to and evaluates testing, commissioning, and O&M documentation for turbine island systems.</li> <li>Monitors construction and ensures turbine island installations are compliant with design and quality standards.</li> <li>Ensures all turbine island-related technical changes follow established requirements, processes and procedures.</li> <li>Prepares and reviews correspondence, statements and technical reports related to turbine island mechanical systems.</li> <li>Develops training materials and delivers training sessions specific to turbine island design, operation, and engineering principles.</li> <li>Provides technical input and coordination support to project stakeholders.</li> </ul> <h4>Experience and qualifications</h4> <ul> <li>Bachelor’s degree required (master’s degree beneficial) in mechanical engineering, specializing in power generation and energy.</li> <li>Strong technical skills; 8+ years of experience in mechanical engineering on large scale projects or in nuclear power plant development. Nuclear power industry related experience is required.</li> <li>Knowledge of water properties (working with the I-S and derivative T-S diagram), thermodynamic, thermohydraulic and hydrodynamic.</li> <li>Knowledge of vessels operating under pressure and vacuum, rotating equipment (pumps, fans and compressors), valves, heat exchanger installations and associated equipment, fittings and pipelines.</li> <li>Familiar with design, manufacturing, testing and operational codes and standards for systems under pressure, ventilation, lifting equipment and fire suppression.</li> <li>Familiar with principles and means of measurement and control of thermohydraulic processes.</li> <li>2D and 3D CAD, CAM, flow analysis, piping stress analysis, finite element programs software experience is beneficial.</li> </ul> <h4>Special job requirements</h4> <ul> <li>Ability to analyze, communicate, influence and persuade.</li> <li>Strong written and verbal communication skills in English are essential; understanding of Russian and/or Arabic is a plus.</li> <li>Proactive team player, proven to be effective in a multi-cultural environment.</li> <li>Organized and disciplined.</li> </ul> <h4>Moving forward together</h4> <p>We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. We're building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard.</p> <p>And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there's a path for you here.</p> <p>And there's no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.</p></p><p></p>

Egis International_MMUP<br><br>A leading global architectural, consulting, construction engineering, operations and mobility services firm. <br><br><br><br>Job Description<br><br>We are seeking a detail-oriented and analytical Power Supply Engineer to join our team in Alexandria, Egypt. In this role, you will be responsible for designing, developing, and optimizing power supply systems that meet the highest standards of efficiency and reliability. You will work collaboratively with cross-functional teams to deliver innovative power solutions for a variety of applications. The ideal candidate will demonstrate strong technical expertise, exceptional problem-solving abilities, and a commitment to excellence in power electronics engineering.<br><br>Design and develop power supply circuits and systems, including AC-DC and DC-DC converters, ensuring optimal performance and efficiency Conduct detailed circuit analysis and simulations using industry-standard tools to validate designs before prototyping Perform comprehensive testing and troubleshooting of power supply prototypes and production units to identify and resolve technical issues Create and maintain technical documentation, including schematics, design specifications, and test reports Analyze power electronics components and select appropriate power management ICs and passive components for specific applications Collaborate with PCB design teams to ensure proper layout and routing for optimal thermal and electrical performance Ensure all designs comply with relevant electrical safety standards and industry regulations (IEC, UL, CE) Evaluate and implement improvements to existing power supply designs to enhance efficiency, reduce costs, and improve reliability Participate in design reviews and provide technical recommendations to optimize system performance Support the manufacturing and quality assurance teams during production and field deployment phases<br><br><br>Qualifications<br><br>Proven experience in power supply design and development, including AC-DC and DC-DC conversion systems Strong knowledge of power electronics, circuit theory, and electrical engineering principles Proficiency with circuit simulation and analysis tools such as SPICE, MATLAB, or equivalent software Experience with PCB design tools and understanding of PCB layout best practices for power applications Solid understanding of power management integrated circuits and their applications Familiarity with electrical safety standards and regulatory requirements (IEC, UL, CE) Excellent analytical and problem-solving skills with strong attention to detail Experience in testing, validation, and troubleshooting of electronic systems Strong technical documentation and communication skills Organized approach to project management and ability to work effectively in team environments Preferred: Experience with renewable energy systems or battery management systems Preferred: Knowledge of thermal management techniques and heat dissipation solutions Preferred: Experience with embedded systems and microcontroller integration Preferred: Project management or team leadership experience

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.

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

<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>

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>

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.