Materials Engineer Jobs

<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)

AZOROM is seeking a Senior Civil Engineer for an upcoming international power sector assignment in Egypt.<br>The role will support the upgrade of a Regional Control Centre and associated facilities. We are particularly interested in experts with experience in civil works for control centres, dispatch centres, substations, data centres, or other mission-critical technical buildings.<br>Key requirements:BSc in Civil Engineering or a closely related discipline Fluent English At least 10 years of relevant civil engineering experience Experience with control centre buildings, technical buildings, substations, data centres, or utility/infrastructure facilities Experience in building rehabilitation, refurbishment, site supervision, QA/QC, contractor coordination, inspection and handover Ability to oversee or coordinate architectural works would be an advantage Familiarity with Egyptian or comparable MENA building codes, permitting requirements, and construction regulations Experience in Egypt, MENA, North Africa, or similar developing-country infrastructure environments would be beneficial <br>The assignment is expected to involve civil and architectural works related to the upgrade and rehabilitation of an operational control centre building, including technical rooms and associated facilities.

Phi Egypt is an accomplished Egyptian engineering solutions company that has been active as a main contractor in construction, fitting out, fine finishing & furnishing for residential, commercial, medical & corporate projects, based in Cairo, Egypt.<br>Job Title:Project Engineer<br>Role Description This is a full-time on-site role for a Site Engineer in the field of retail, administrative & commercial projects, located in Cairo, Egypt.<br>Responsibilities- Conduct site supervision for different projects to ensure adherence to plans and specifications.- Align and coordinate with suppliers for project requirements.- Create and review technical office drawings.- Design and develop mood boards for project presentations.<br>Education & Experience- Bachelor’s degree in Architecture or Civil Engineering.- 1 to 3 years of experience in site supervision in the field of high end finishing ONLY.<br>Requirements-Having a car is a MUST.-East Cairo / New Cairo residents is preferred <br>Qualifications- Strong experience in Auto CAD & Microsoft Office.- ⁠Proficiency in shop drawings.- ⁠Understand project requirements.- Understand of FF&E specifications & selection.- Attention to detail.- Effective communication and teamwork skills.- Knowledge of construction industry standards and regulations.

Phi Egypt is an accomplished Egyptian engineering solutions company that has been active as a main contractor in construction, fitting out, fine finishing & furnishing for residential, commercial, medical & corporate projects, based in Cairo, Egypt.<br>Job Title:Project Engineer<br>Role Description This is a full-time on-site role for a Site Engineer in the field of retail, administrative & commercial projects, located in Cairo, Egypt.<br>Responsibilities- Conduct site supervision for different projects to ensure adherence to plans and specifications.- Align and coordinate with suppliers for project requirements.- Create and review technical office drawings.- Design and develop mood boards for project presentations.<br>Education & Experience- Bachelor’s degree in Architecture or Civil Engineering.- 1 to 3 years of experience in site supervision in the field of high end finishing ONLY.<br>Requirements- Having a car is a MUST.-East Cairo residents is a plus.<br>Qualifications- Strong experience in Auto CAD & Microsoft Office.- ⁠Proficiency in shop drawings.- ⁠Understand project requirements.- Understand of FF&E specifications & selection.- Attention to detail.- Effective communication and teamwork skills.- Knowledge of construction industry standards and regulations.

About Sabbour Consulting:Established in 1957, Sabbour Consulting is a leading multidisciplinary engineering consulting firm with over six decades of expertise in delivering high-quality projects across Egypt and the region. Our portfolio spans infrastructure, commercial, residential, and governmental sectors, supported by a culture of technical excellence and innovation.<br>Job Purpose To design, develop, and coordinate electrical power, lighting, grounding, and telecom/low current systems in accordance with project requirements, applicable codes, and client standards, ensuring technical accuracy, constructability, and timely delivery.<br>Key Responsibilities Prepare electrical design calculations (load, short circuit, voltage drop, illumination, earthing, lightning protection). Develop electrical layouts and schematics for: medium & Low Voltage systems, power distribution, lighting (internal, external, emergency) and grounding/lightning protection systems. Prepare single-line diagrams (SLD) and panel schedules. Ensure compliance with local and international codes (IEC, NEC, BS, local authorities). Design and coordinate telecom and low current systems, including: structured cabling (Data & Voice), CCTV, Access Control, Public Address (PA), Fire Alarm Interface and IP Telephony & Network Infrastructure. Prepare system layouts, riser diagrams, and technical specifications. Coordinate designs with Architectural, Structural, and other MEP disciplines. Prepare design drawings, BOQs, technical specifications, and material submittals. Participate in design review meetings and respond to technical comments. Support tender stage by providing clarifications and value engineering proposals. Ensure all designs meet client requirements, authority approvals, and project specifications. Conduct internal design checks and ensure quality standards are maintained. Assist in resolving site technical issues during construction (as required).<br>Qualifications Bachelor’s Degree in Electrical Engineering. Professional certifications or specialized courses in electrical or telecom systems are an advantage.2-5 years of relevant experience in electrical and telecom design. Previous experience in consultancy or design offices is preferred. Experience in infrastructure, buildings, or mixed-use projects is an advantage. Proficiency in Auto CAD (Revit MEP is an advantage). Electrical calculation software (e.g., ETAP, Dialux, or equivalent). Strong knowledge of electrical & telecom design standards and codes. Ability to prepare BOQs and technical specifications. Strong analytical and problem-solving skills. Effective communication and coordination abilities. Ability to work under pressure and meet deadlines. Attention to detail and quality-focused mindset.

About Sabbour Consulting:Established in 1957, Sabbour Consulting is a leading multidisciplinary engineering consulting firm with over six decades of expertise in delivering high-quality projects across Egypt and the region. Our portfolio spans infrastructure, commercial, residential, and governmental sectors, supported by a culture of technical excellence and innovation.<br>Job Purpose To design, develop, and coordinate electrical power, lighting, grounding, and telecom/low current systems in accordance with project requirements, applicable codes, and client standards, ensuring technical accuracy, constructability, and timely delivery.<br>Key Responsibilities Prepare electrical design calculations (load, short circuit, voltage drop, illumination, earthing, lightning protection). Develop electrical layouts and schematics for: medium & Low Voltage systems, power distribution, lighting (internal, external, emergency) and grounding/lightning protection systems. Prepare single-line diagrams (SLD) and panel schedules. Ensure compliance with local and international codes (IEC, NEC, BS, local authorities). Design and coordinate telecom and low current systems, including: structured cabling (Data & Voice), CCTV, Access Control, Public Address (PA), Fire Alarm Interface and IP Telephony & Network Infrastructure. Prepare system layouts, riser diagrams, and technical specifications. Coordinate designs with Architectural, Structural, and other MEP disciplines. Prepare design drawings, BOQs, technical specifications, and material submittals. Participate in design review meetings and respond to technical comments. Support tender stage by providing clarifications and value engineering proposals. Ensure all designs meet client requirements, authority approvals, and project specifications. Conduct internal design checks and ensure quality standards are maintained. Assist in resolving site technical issues during construction (as required).<br>Qualifications Bachelor’s Degree in Electrical Engineering. Professional certifications or specialized courses in electrical or telecom systems are an advantage.2-5 years of relevant experience in electrical and telecom design. Previous experience in consultancy or design offices is preferred. Experience in infrastructure, buildings, or mixed-use projects is an advantage. Proficiency in Auto CAD (Revit MEP is an advantage). Electrical calculation software (e.g., ETAP, Dialux, or equivalent). Strong knowledge of electrical & telecom design standards and codes. Ability to prepare BOQs and technical specifications. Strong analytical and problem-solving skills. Effective communication and coordination abilities. Ability to work under pressure and meet deadlines. Attention to detail and quality-focused mindset.

Company Description EAST is a joint-stock company with over 60 years of history providing innovative engineering solutions and services to local and regional markets. The company operates in major infrastructure, energy, and industrial sectors, offering a range of activities from the supply of equipment to complete EPC projects. Organized into three business sectors—E_Roads for road-related machinery, E_RAIL for rail and track machinery, and E_Industries for industrial engineering solutions—EAST delivers specialized solutions across diverse applications. With a legacy rooted in construction and road-building, EAST continues to innovate and grow as a trusted industry leader.<br>Job Description Prepare and develop technical and commercial proposals for electrical projects in accordance with client requirements and industry standards. Analyze tender documents, specifications, and drawings to determine project scope and identify key deliverables. Coordinate with engineering, procurement, and project management teams to gather necessary data for accurate bid preparation. Estimate material, labor, and equipment costs for electrical systems, ensuring competitive and compliant proposals. Liaise with suppliers and subcontractors to obtain quotations and evaluate technical offers. Ensure all proposals are submitted within deadlines and comply with company policies and client specifications. Participate in pre-bid meetings, site visits, and technical clarifications as required. Support contract negotiations by providing technical input and value engineering solutions. Maintain up-to-date records of bids, proposals, and awarded contracts for future reference and analysis. Continuously monitor market trends and competitor activities to enhance proposal strategies. Job Requirements Bachelor’s degree in Electrical Engineering or a related field.1 to 3 years of experience in electrical bids, proposals, or tendering within the engineering or construction industry. Strong understanding of electrical systems, components, and industry standards. Proficiency in preparing technical and commercial proposals for electrical projects. Excellent analytical and problem-solving skills with keen attention to detail. Ability to interpret technical drawings, specifications, and tender documents. Strong communication and negotiation skills for effective coordination with internal teams and external partners. Proficiency in MS Office Suite and relevant engineering software. Ability to work independently and manage multiple bids simultaneously under tight deadlines. Familiarity with local and regional market practices in the infrastructure, energy, or industrial sectors.

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>

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.