Production Technician Jobs - Dubai UAE

Chief Technology Officer: Hands-on, AI-native technology leadership for Zofeur's next stage of scale Reports to: Founder & CEOScope: Engineering, architecture, mobile, QA, Dev Ops, infrastructure, cybersecurity, data engineering and AI engineering<br>The Opportunity Build the technology organisation behind a high-volume, real-time mobility platform. This is a company-level leadership role for a technically deep operator who can strengthen an existing platform, upgrade a distributed team and make AI a practical advantage across engineering and mobility intelligence.<br>About Zofeur Zofeur is a fast-growing mobility technology platform built around delegated mobility for car owners. The platform powers on-demand chauffeur services, scheduled and subscription-based mobility, enterprise driver logistics and related operational services across multiple markets. Its technology environment includes customer and chauffeur mobile applications, real-time dispatch and location systems, payments, subscriptions, operational control systems, enterprise dashboards, APIs, analytics and cloud infrastructure. Zofeur is now building its next stage of internal technology leadership as it scales across the GCC.<br>The role Zofeur is seeking a hands-on, AI-native Chief Technology Officer to take end-to-end ownership of technology strategy, engineering execution and organisational capability. The CTO will inherit a live platform and an established distributed engineering team. The immediate mandate is to strengthen that team, internalise critical capabilities, improve delivery speed and quality, reduce key-person dependency and build a high-performing engineering organisation. This is not a purely strategic or managerial position. The CTO must be technically credible enough to engage directly with architecture, code quality, infrastructure and production incidents while building the leadership structure required for scale.<br>What you will own Technology strategy and architecture Own Zofeur's technical vision, architecture and engineering roadmap. Ensure the platform can support increasing transaction volumes, geographic expansion and new product lines. Review the current cloud, backend, mobile, data and integration architecture and establish clear technical standards. Prioritise technical debt according to customer, operational and commercial impact. Make pragmatic build-versus-buy, modernisation and platform investment decisions. Improve systems incrementally while replacing components where evidence clearly justifies it.<br>Engineering organisation Assess the existing engineering organisation and develop a clear capability and succession plan. Build an internal technology organisation while managing a controlled hybrid delivery model. Recruit, coach and retain high-quality engineering leaders and individual contributors. Establish clear ownership across backend, mobile, QA, infrastructure, security, data and AI engineering. Eliminate critical individual dependencies and create an accountable, transparent engineering culture.<br>Delivery, reliability and quality Improve engineering velocity without compromising platform stability. Establish measurable standards for release frequency, lead time, defect rate, availability and incident recovery. Strengthen QA automation across critical customer, chauffeur, payment, subscription, B2B and operational workflows. Implement effective code review, testing, deployment, rollback, observability and incident-response practices. Improve technical documentation and engineer onboarding.<br>AI-first engineering and mobility intelligence Establish AI-native development practices across coding, testing, review, documentation, debugging and internal tooling. Select and govern AI development tools with appropriate security, privacy and quality controls. Build capability in data engineering, AI engineering and MLOps. Partner with Product and Operations to convert high-value AI opportunities into reliable production systems. Lead initial priorities including automated software engineering and QA, ETA and demand forecasting, and pricing and supply planning.<br>Cloud, security and governance Own AWS and GCP architecture, availability, security and cost management. Establish strong identity, access, secrets and production-control policies. Ensure Zofeur maintains complete control over source code, infrastructure and critical third-party systems. Strengthen cybersecurity, privacy, business continuity and disaster recovery. Prepare the technology organisation for enterprise diligence, regional expansion and future compliance requirements.<br>Executive leadership Act as a strategic partner to the Founder and CEO and challenge priorities constructively. Translate company objectives into credible technology plans, budgets, trade-offs and timelines. Represent technology with the board, investors, strategic partners and enterprise customers. Build a culture of accountability, urgency, transparency and continuous improvement.<br>What success looks like Technology ownership has moved from founder-led decision-making to a clear, CTO-led operating model. Zofeur has a strong internal engineering core supported by carefully governed external capacity. Critical systems and responsibilities have documented owners and no material single-person dependencies. Release speed, reliability, defect rates and incident recovery are measured and materially improving. AI is embedded in everyday engineering delivery and selected mobility-intelligence use cases are operating in production. The technology organisation can support GCC expansion without proportionally increasing complexity or headcount.<br>Candidate profile The successful candidate will likely bring:Significant software engineering and technology leadership experience, typically 12 or more years, with evidence valued above tenure. Experience leading and scaling multidisciplinary engineering organisations. Strong architecture capability across cloud, backend, mobile, data and APIs. Experience with high-volume transactional, marketplace, logistics, mobility, delivery, fintech or consumer platforms. Direct exposure to real-time systems, location data, payments or operational platforms. Experience managing distributed internal teams and outsourced engineering partners. A record of recruiting, assessing and upgrading engineering talent. Practical experience implementing AI-assisted software development and production AI systems. Strong knowledge of QA automation, Dev Ops, observability, security and incident management. Commercial judgement and the ability to connect technical decisions to customer and business outcomes. The confidence and communication skills to work directly with founders and boards. Experience with PHP/Laravel, Swift, Kotlin, AWS, GCP, Redshift or mobility technology is advantageous but not mandatory. A previous CTO title is not required.<br>The working style we value Technically hands-on without becoming the team's bottleneck. Decisive, calm and low-ego, particularly during incidents and organisational change. Pragmatic about architecture and resistant to unnecessary rewrites or fashionable complexity. Comfortable challenging the CEO and leadership team, while remaining accountable for execution. Able to communicate difficult technical trade-offs in clear commercial language. Motivated by measurable customer and business outcomes rather than technology for its own sake.<br>Location and package This is a full-time, office-based position in Dubai. Zofeur offers a competitive executive package, meaningful equity participation and the opportunity to shape the technology foundation of a category-defining regional mobility company.<br>Important This role is designed for a builder. Candidates seeking a remote, advisory or delegation-only CTO position will not be a fit.

Chief Technology Officer: Hands-on, AI-native technology leadership for Zofeur's next stage of scale Reports to: Founder & CEOScope: Engineering, architecture, mobile, QA, Dev Ops, infrastructure, cybersecurity, data engineering and AI engineering<br>The Opportunity Build the technology organisation behind a high-volume, real-time mobility platform. This is a company-level leadership role for a technically deep operator who can strengthen an existing platform, upgrade a distributed team and make AI a practical advantage across engineering and mobility intelligence.<br>About Zofeur Zofeur is a fast-growing mobility technology platform built around delegated mobility for car owners. The platform powers on-demand chauffeur services, scheduled and subscription-based mobility, enterprise driver logistics and related operational services across multiple markets. Its technology environment includes customer and chauffeur mobile applications, real-time dispatch and location systems, payments, subscriptions, operational control systems, enterprise dashboards, APIs, analytics and cloud infrastructure. Zofeur is now building its next stage of internal technology leadership as it scales across the GCC.<br>The role Zofeur is seeking a hands-on, AI-native Chief Technology Officer to take end-to-end ownership of technology strategy, engineering execution and organisational capability. The CTO will inherit a live platform and an established distributed engineering team. The immediate mandate is to strengthen that team, internalise critical capabilities, improve delivery speed and quality, reduce key-person dependency and build a high-performing engineering organisation. This is not a purely strategic or managerial position. The CTO must be technically credible enough to engage directly with architecture, code quality, infrastructure and production incidents while building the leadership structure required for scale.<br>What you will own Technology strategy and architecture Own Zofeur's technical vision, architecture and engineering roadmap. Ensure the platform can support increasing transaction volumes, geographic expansion and new product lines. Review the current cloud, backend, mobile, data and integration architecture and establish clear technical standards. Prioritise technical debt according to customer, operational and commercial impact. Make pragmatic build-versus-buy, modernisation and platform investment decisions. Improve systems incrementally while replacing components where evidence clearly justifies it.<br>Engineering organisation Assess the existing engineering organisation and develop a clear capability and succession plan. Build an internal technology organisation while managing a controlled hybrid delivery model. Recruit, coach and retain high-quality engineering leaders and individual contributors. Establish clear ownership across backend, mobile, QA, infrastructure, security, data and AI engineering. Eliminate critical individual dependencies and create an accountable, transparent engineering culture.<br>Delivery, reliability and quality Improve engineering velocity without compromising platform stability. Establish measurable standards for release frequency, lead time, defect rate, availability and incident recovery. Strengthen QA automation across critical customer, chauffeur, payment, subscription, B2B and operational workflows. Implement effective code review, testing, deployment, rollback, observability and incident-response practices. Improve technical documentation and engineer onboarding.<br>AI-first engineering and mobility intelligence Establish AI-native development practices across coding, testing, review, documentation, debugging and internal tooling. Select and govern AI development tools with appropriate security, privacy and quality controls. Build capability in data engineering, AI engineering and MLOps. Partner with Product and Operations to convert high-value AI opportunities into reliable production systems. Lead initial priorities including automated software engineering and QA, ETA and demand forecasting, and pricing and supply planning.<br>Cloud, security and governance Own AWS and GCP architecture, availability, security and cost management. Establish strong identity, access, secrets and production-control policies. Ensure Zofeur maintains complete control over source code, infrastructure and critical third-party systems. Strengthen cybersecurity, privacy, business continuity and disaster recovery. Prepare the technology organisation for enterprise diligence, regional expansion and future compliance requirements.<br>Executive leadership Act as a strategic partner to the Founder and CEO and challenge priorities constructively. Translate company objectives into credible technology plans, budgets, trade-offs and timelines. Represent technology with the board, investors, strategic partners and enterprise customers. Build a culture of accountability, urgency, transparency and continuous improvement.<br>What success looks like Technology ownership has moved from founder-led decision-making to a clear, CTO-led operating model. Zofeur has a strong internal engineering core supported by carefully governed external capacity. Critical systems and responsibilities have documented owners and no material single-person dependencies. Release speed, reliability, defect rates and incident recovery are measured and materially improving. AI is embedded in everyday engineering delivery and selected mobility-intelligence use cases are operating in production. The technology organisation can support GCC expansion without proportionally increasing complexity or headcount.<br>Candidate profile The successful candidate will likely bring:Significant software engineering and technology leadership experience, typically 12 or more years, with evidence valued above tenure. Experience leading and scaling multidisciplinary engineering organisations. Strong architecture capability across cloud, backend, mobile, data and APIs. Experience with high-volume transactional, marketplace, logistics, mobility, delivery, fintech or consumer platforms. Direct exposure to real-time systems, location data, payments or operational platforms. Experience managing distributed internal teams and outsourced engineering partners. A record of recruiting, assessing and upgrading engineering talent. Practical experience implementing AI-assisted software development and production AI systems. Strong knowledge of QA automation, Dev Ops, observability, security and incident management. Commercial judgement and the ability to connect technical decisions to customer and business outcomes. The confidence and communication skills to work directly with founders and boards. Experience with PHP/Laravel, Swift, Kotlin, AWS, GCP, Redshift or mobility technology is advantageous but not mandatory. A previous CTO title is not required.<br>The working style we value Technically hands-on without becoming the team's bottleneck. Decisive, calm and low-ego, particularly during incidents and organisational change. Pragmatic about architecture and resistant to unnecessary rewrites or fashionable complexity. Comfortable challenging the CEO and leadership team, while remaining accountable for execution. Able to communicate difficult technical trade-offs in clear commercial language. Motivated by measurable customer and business outcomes rather than technology for its own sake.<br>Location and package This is a full-time, office-based position in Dubai. Zofeur offers a competitive executive package, meaningful equity participation and the opportunity to shape the technology foundation of a category-defining regional mobility company.<br>Important This role is designed for a builder. Candidates seeking a remote, advisory or delegation-only CTO position will not be a fit.

<ul><li><p>Develop, enhance, and maintain applications using <strong>C#, .NET / .NET Core</strong>.</p></li><li><p>Design, develop, and optimize <strong>MS SQL Server</strong> databases, stored procedures, queries, functions, and views.</p></li><li><p>Analyze business and technical requirements and translate them into scalable software solutions.</p></li><li><p>Troubleshoot application, database, and production issues and provide effective resolutions.</p></li><li><p>Develop and integrate REST APIs and web services.</p></li><li><p>Write clean, maintainable, and efficient code following development best practices.</p></li><li><p>Perform unit testing, debugging, code reviews, and support application deployments.</p></li><li><p>Collaborate with business analysts, QA teams, developers, and other stakeholders.</p></li><li><p>Prepare and maintain technical documentation.</p></li><li><p>Support production systems and participate in incident/problem resolution when required.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Strong experience in <strong>C# and .NET / .NET Core</strong>.</p></li><li><p>Good hands-on experience with <strong>MS SQL Server</strong>.</p></li><li><p>Strong knowledge of <strong>SQL queries, stored procedures, joins, indexing, performance tuning, and database design</strong>.</p></li><li><p>Experience developing REST APIs / Web APIs.</p></li><li><p>Good understanding of object-oriented programming and software development principles.</p></li><li><p>Experience working with enterprise applications and development methodologies.</p></li><li><p>Good analytical, troubleshooting, and problem-solving skills.</p></li></ul><p>Strong communication and teamwork skills.</p><br>

Dear ,<br><br><strong>Job Description – Maintenance Supervisor<br><br></strong><ul><li> Position Details</li><li>Position: Maintenance Supervisor</li><li>Department: Engineering &amp; Maintenance</li><li>Reports To: Maintenance Manager / General Manager</li><li>Industry: Plastic Manufacturing – Bottles, Cans &amp; Caps</li><li>Location: UAE</li><li> Job Purpose<br><br></li></ul>To ensure maximum machine availability, reliability, safety and productivity by effectively managing preventive, predictive and breakdown maintenance of production machines, utilities, electrical systems and plant infrastructure.<br><br><strong>Job Benefits<br><br></strong><ul><li>Attractive salary package as per company standards.</li><li>Employment visa provided as per UAE labour regulations.</li><li>Medical insurance as per company policy.</li><li>Annual leave as per UAE labour regulations.</li><li>Paid public holidays as per UAE labour regulations.</li><li>Other benefits as per company policy. Company-provided accommodation.</li><li>Company-provided transportation.</li><li>30 days of paid annual leave per year.</li><li>Flight tickets as per company policy.</li><li> Key Responsibilities (KRAs)</li><li>Machine Availability &amp; Reliability: Maintain production equipment availability, reduce repeat failures and improve MTBF.</li><li>Preventive / Predictive Maintenance: Execute preventive maintenance (PM) schedules and condition checks on time.</li><li>Breakdown Response &amp; MTTR: Respond rapidly, troubleshoot safely and restore production.</li><li>Utilities Reliability: Maintain compressors, chillers, dryers, pumps, cooling systems and electrical distribution.</li><li>Spare Parts &amp; Cost Control: Maintain critical spares and optimize maintenance expenditure.</li><li>Safety &amp; Compliance: Ensure LOTO, PTW, machine guarding and safe maintenance practices.</li><li>Team &amp; Shift Management: Allocate manpower, train technicians and ensure shift handover.</li><li>Documentation &amp; Continuous Improvement: Maintain records, root cause analysis (RCA), reports and improvement projects with SAP reports.</li><li> Qualification &amp; Experience</li><li>Education: Diploma / B.Tech in Mechanical, Electrical, Mechatronics or a related field.</li><li>Experience: 5–10 years of industrial maintenance experience; preferably in a plastic processing plant.</li><li>Machine Experience: Injection moulding, EBM/IBM, extrusion/accumulator head, printing and auxiliary equipment.</li><li>Utilities: Compressors, air dryers, chillers, cooling towers, pumps, DG and electrical distribution.</li><li>Controls: PLC, HMI, VFD/servo drives, sensors, interlocks and control panels.</li><li>Mechanical: Hydraulics, pneumatics, bearings, gearboxes, lubrication and alignment.</li><li>HSE: LOTO, PTW, machine guarding, electrical safety and safe isolation.</li><li> Core Technical Responsibilities</li><li>Production Machines: EBM/IBM, injection moulding, extrusion/accumulator head, printing, dosing systems (volumetric and gravimetric), silos and downstream equipment.</li><li>Electrical &amp; Automation: PLC, HMI, VFD/servo drives, motors, sensors, interlocks, MCC and control panels.</li><li>Hydraulic &amp; Pneumatic Systems: Pumps, valves, cylinders, FRL, solenoids and pressure controls.</li><li>Utilities: Compressors, dryers, chillers, cooling towers, pumps, DG and plant electrical distribution.</li><li>Maintenance Systems: Preventive/predictive maintenance, breakdown response, MTBF/MTTR, RCA, critical spares and maintenance history.</li><li>Safety: LOTO, PTW, machine guarding, electrical isolation, PPE and safe work practices.</li><li> Daily Shift Responsibilities</li><li>Start of Shift: Review previous shift breakdowns, machine status, critical alarms, pending preventive maintenance and manpower allocation.</li><li>During Shift: Monitor breakdowns, ensure preventive maintenance, conduct utility checks, follow up on spares, ensure safety compliance and support production.</li><li>End of Shift: Complete reports, update breakdown history, record spare consumption and pending jobs, and ensure formal shift handover.<br><br></li></ul><strong>Interested candidates can share their updated CV for consideration.<br><br></strong><strong>Archana Patil<br><br></strong>Assistant Manager – Talent Acquisition<br><br><strong>SPERTON<br><br></strong>Email: archana.patil@sperton.com<br><br>Contact: 7276527477<br><br><strong>Interested candidates can apply with their updated CV.<br><br></strong><strong>Archana Patil<br><br></strong>Assistant Manager – Talent Acquisition<br><br><strong>SPERTON<br><br></strong>Sperton Christos Consulting Pvt. Ltd.<br><br>✉️ archana.patil@sperton.com<br><br> 7276527477<br><br><em>Sperton – Your Business Growth Partner<br><br></em>Global Recruitment | People Management | Global Mobility | Business Support Services in 140+ Countries

<em>Please direct all resume submissions to </em><em>QuantTalentASIA@mlp.com</em><em> and reference REQ-30162 as the subject.<br><br></em>Job Specification: Quant Research Engineer<br><br><strong>Preferred Candidate Profile<br><br></strong><ul><li> Top-tier academic background from a globally top-20 university (e.g., MIT, Harvard, Princeton, Stanford, Caltech)</li><li> PhD-level training in Computer Science, Engineering, Physics, Mathematics, or Statistics preferred</li><li> Gold medal in a national or international olympiad (IMO, CMO, IOI, NOI, IPhO, CPhO) strongly preferred</li><li> Prior experience at a top-tier quantitative trading firm or a leading AI/technology company preferred</li><li> Demonstrated passion for applying AI — candidates who have built LLM-powered tools into their own research or engineering workflow stand out<br><br></li></ul>Key Responsibilities<br><br><strong>Core Infrastructure Ownership<br><br></strong><ul><li> Design, build, and maintain the firm’s core quant pipelines, data infrastructure, and research and production compute environments.</li><li> Ensure the reliability, scalability, and performance of critical systems central to our research and trading activities.</li><li> Drive the architectural vision for our next-generation data and compute platform — including how AI-native capabilities (LLM services, agentic workflows, retrieval infrastructure) are embedded into the research stack.<br><br></li></ul><strong>Collaboration &amp; Integration<br><br></strong><ul><li> Partner directly with Quantitative Researchers and other development teams to understand their requirements and integrate new components into the core infrastructure.</li><li> Act as a central point of expertise, facilitating the seamless flow of data and computation across teams and systems.</li><li> Identify where AI can accelerate the research process — from literature ingestion and data exploration to signal prototyping — and build the tooling that makes it routine.</li><li> Establish and enforce rigorous standards for system design, code quality, testing, and deployment.<br><br></li></ul><strong>DevOps &amp; AI-Augmented Operations<br><br></strong><ul><li> Own the deployment, monitoring, and operational health of production and research systems.</li><li> Implement robust observability, logging, and alerting frameworks; apply AI-assisted techniques (automated log analysis, anomaly detection, intelligent incident triage) to raise the bar on reliability.</li><li> Drive infrastructure-as-code practices and automate operational workflows, leveraging AI coding agents and LLM tooling where they demonstrably improve velocity and quality.<br><br></li></ul><strong>Qualifications &amp; Experience<br><br></strong><ul><li> 3–5 years of professional experience in a quantitative development role, focused on building and maintaining quantitative research and production pipelines. Alternatively, significant engineering experience in a fast-paced startup — or strong hands-on AI/LLM engineering experience (building production LLM applications, agentic systems, or AI-powered developer<br><br></li></ul>tooling) — with demonstrated ownership of complex infrastructure will be considered in lieu of direct quant experience.<br><br><ul><li> Proven, end-to-end ownership of a significant piece of trading, research, high-performance, or AI infrastructure.</li><li> Deep expertise in modern C++ and Python in a high-performance computing context.</li><li> Demonstrable experience with large-scale data infrastructure (e.g., real-time/streaming and historical tick data).</li><li> Strong background in cloud computing (AWS, GCP, or Azure) and parallel computing paradigms.<br><br></li></ul><strong>Hard Skills &amp; Technical Knowledge<br><br></strong><ul><li> Broad knowledge of the technology landscape and the judgment to select the right tool for the problem (e.g., KDB+, Apache Spark, Dask, Redis).</li><li> Practical experience applying LLMs and agentic workflows to real engineering or research problems — LLM APIs, agent frameworks, retrieval-augmented generation, and structured output pipelines — with sound judgment about where AI adds value and where determinism must be preserved.</li><li> Proficiency with different database designs — SQL, NoSQL, and distributed file systems.</li><li> Experience with containerization and orchestration technologies (Docker, Kubernetes).</li><li> Strong experience with DevOps practices: infrastructure-as-code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, GitLab CI), and system observability — including familiarity with AI-assisted operations tooling.<br><br></li></ul><strong>Soft Skills<br><br></strong><ul><li> Exceptional Logical &amp; Reflective Thinking: Ability to deconstruct complex problems and design elegant, effective solutions.</li><li> Proactive Collaboration: A team player who thrives in a collaborative environment and builds strong partnerships.</li><li> High Integrity: Takes initiative and ownership of projects, upholding rigorous ethical standards in handling sensitive data and models.</li><li> Growth Mindset: Innate curiosity and commitment to continuous improvement — including genuine enthusiasm for the rapidly evolving AI landscape and a track record of adopting new tools ahead of the curve.</li><li> Superb Communication: Can articulate complex technical concepts to both technical and non-technical stakeholders.</li></ul>

Role: Data Science engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Science engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Science engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Science engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

<p>Position Title: Façade Design Manager Employment Type: Full Time Salary: up to 18K AED inclusive depending on experience and qualifications Job Location: Dubai, UAE About the Client: One of the trusted names in Aluminum and Glass fabrication, based in Dubai Job Description: • Lead and manage façade design projects including curtain walls, ACP cladding, glazing systems, louvers, and aluminum solutions. • Supervise design engineers, BIM coordinators, and draftsmen to ensure timely and high-quality project delivery. • Coordinate with architects, consultants, production, procurement, and site teams for seamless project execution. • Ensure compliance with GCC construction standards, client requirements, and international façade engineering practices </p><p>Qualifications: • Male, 30-40 years old • Minimum 10 years of façade/aluminum design experience within GCC façade projects • Bachelor’s Degree in Mechanical, Civil, Structural Engineering, Architecture, or related field • Proficiency in AutoCAD, Revit, Navisworks, and BIM coordination software with strong technical knowledge of curtain wall and façade systems</p>

<p>Position Title: Façade Design Manager Employment Type: Full Time Salary: up to 18K AED inclusive depending on experience and qualifications Job Location: Dubai, UAE About the Client: One of the trusted names in Aluminum and Glass fabrication, based in Dubai - Lead and manage façade design projects including curtain walls, ACP cladding, glazing systems, louvers, and aluminum solutions. - Supervise design engineers, BIM coordinators, and draftsmen to ensure timely and high-quality project delivery. - Coordinate with architects, consultants, production, procurement, and site teams for seamless project execution. - Ensure compliance with GCC construction standards, client requirements, and international façade engineering practices</p><p>Qualifications: - Male, 30-40 years old - Minimum 10 years of façade/aluminum design experience within GCC façade projects - Bachelor’s Degree in Mechanical, Civil, Structural Engineering, Architecture, or related field - Proficiency in AutoCAD, Revit, Navisworks, and BIM coordination software with strong technical knowledge of curtain wall and façade systems</p>

<p>Position Title: Façade Design Manager Employment Type: Full Time Salary: up to 18K AED inclusive depending on experience and qualifications Job Location: Dubai, UAE About the Client: One of the trusted names in Aluminum and Glass fabrication, based in Dubai Job Description: • Lead and manage façade design projects including curtain walls, ACP cladding, glazing systems, louvers, and aluminum solutions. • Supervise design engineers, BIM coordinators, and draftsmen to ensure timely and high-quality project delivery. • Coordinate with architects, consultants, production, procurement, and site teams for seamless project execution. • Ensure compliance with GCC construction standards, client requirements, and international façade engineering practices </p><p>Qualifications: • Male, 30-40 years old • Minimum 10 years of façade/aluminum design experience within GCC façade projects • Bachelor’s Degree in Mechanical, Civil, Structural Engineering, Architecture, or related field • Proficiency in AutoCAD, Revit, Navisworks, and BIM coordination software with strong technical knowledge of curtain wall and façade systems</p>

Sign Media and Fixtures L. L. C-FZ is seeking an experienced and detail-oriented Estimator to join our team in Dubai. This is an excellent opportunity for a motivated professional with experience in signage, joinery, shopfitting, or construction to work on exciting projects and contribute to delivering high-quality visual communication solutions.<br>Key Responsibilities<br>Review project drawings, specifications, and client requirements. Prepare accurate quantity take-offs, cost estimates, and project budgets. Obtain and evaluate supplier and subcontractor quotations. Analyze materials, labor, and production methods to determine project costs. Prepare detailed quotations and proposals for clients. Coordinate with design, production, and sales teams to ensure project feasibility and competitive pricing. Revise estimates based on project scope changes and market pricing. Maintain cost databases and support continuous improvement of estimating processes.<br>Requirements<br>Proven experience in estimating, cost analysis, and quantity take-offs. Strong ability to read and interpret technical drawings and project specifications. Experience sourcing materials, obtaining quotations, and negotiating with suppliers. Advanced proficiency in Microsoft Excel and strong analytical skills. Excellent communication and organizational abilities. Ability to manage multiple tenders and meet deadlines in a fast-paced environment. Must have experience in signage, joinery, interior fit-out shopfitting, construction, fabrication, or manufacturing. Technical, engineering, construction, or related qualification is an advantage.<br>Why Join us? At Sign Media and Fixtures L. L. C-FZ, you'll be part of a growing company that delivers innovative signage and fixture solutions across diverse industries. We offer:Opportunities to work on exciting and challenging projects. A collaborative and supportive work environment. Career growth and professional development. Exposure to the complete project lifecycle, from estimation to installation. A culture built on quality, innovation, teamwork, and continuous improvement.<br>If you're passionate about delivering accurate estimates and contributing to successful projects, we'd love to hear from you.

Sign Media and Fixtures L. L. C-FZ is seeking an experienced and detail-oriented Estimator to join our team in Dubai. This is an excellent opportunity for a motivated professional with experience in signage, joinery, shopfitting, or construction to work on exciting projects and contribute to delivering high-quality visual communication solutions.<br>Key Responsibilities<br>Review project drawings, specifications, and client requirements. Prepare accurate quantity take-offs, cost estimates, and project budgets. Obtain and evaluate supplier and subcontractor quotations. Analyze materials, labor, and production methods to determine project costs. Prepare detailed quotations and proposals for clients. Coordinate with design, production, and sales teams to ensure project feasibility and competitive pricing. Revise estimates based on project scope changes and market pricing. Maintain cost databases and support continuous improvement of estimating processes.<br>Requirements<br>Proven experience in estimating, cost analysis, and quantity take-offs. Strong ability to read and interpret technical drawings and project specifications. Experience sourcing materials, obtaining quotations, and negotiating with suppliers. Advanced proficiency in Microsoft Excel and strong analytical skills. Excellent communication and organizational abilities. Ability to manage multiple tenders and meet deadlines in a fast-paced environment. Must have experience in signage, joinery, interior fit-out shopfitting, construction, fabrication, or manufacturing. Technical, engineering, construction, or related qualification is an advantage.<br>Why Join us? At Sign Media and Fixtures L. L. C-FZ, you'll be part of a growing company that delivers innovative signage and fixture solutions across diverse industries. We offer:Opportunities to work on exciting and challenging projects. A collaborative and supportive work environment. Career growth and professional development. Exposure to the complete project lifecycle, from estimation to installation. A culture built on quality, innovation, teamwork, and continuous improvement.<br>If you're passionate about delivering accurate estimates and contributing to successful projects, we'd love to hear from you.

Role: Data Science engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.<br>Key Responsibilities:• Develop and maintain production-grade data science models using Python and relevant frameworks.• Design and implement data pipelines to process large-scale datasets for model training and inference.• Collaborate with software engineers to integrate models into production systems and APIs.• Optimize models for performance, scalability, and cost-efficiency in cloud environments.• Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.<br>Required Skills & Qualifications:• Proficiency in Python with experience in data science libraries such as Num Py, Pandas, and Scikit-learn.• Experience with machine learning frameworks including Tensor Flow, PyTorch, or similar tools.• Strong background in statistical modeling, regression, classification, and clustering techniques.• Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).• Experience with SQL and database systems for data extraction and transformation.• Ability to write clean, maintainable, and well-documented code.• Understanding of MLOps practices, including model deployment and monitoring.• Experience with version control systems such as Git.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Company Description:RAW Marketing UAE is a digital-first agency that builds genuine partnerships to drive brand growth and innovation. The team brings together digital strategists, technologists, designers, and content specialists to deliver integrated marketing solutions. From engaging websites and intuitive apps to compelling campaigns, RAW Marketing helps clients stand out in a competitive landscape. The agency emphasizes creativity, cutting-edge technology, and collaborative work to bring each client’s vision to life.<br>About the Role RAW Marketing UAE is looking for a Videography & Photography Intern to join our creative production team in Dubai. On-site, with travel to client/project locations as required. This is a hands-on internship for someone interested in developing practical experience in commercial photography and video production. You will work alongside our production team on real client projects across industries including hospitality, F&B, real estate, corporate, events, automotive, and lifestyle. The role will involve both studio and on-location shoots across Dubai and, when required, other locations within the UAE.<br>Key Responsibilities Assist the production team during photography and video shoots Support with camera, lighting, audio, and production equipment setup Assist photographers and videographers with shot preparation and execution Capture behind-the-scenes and supporting photo/video content when required Help organize equipment before and after shoots Support basic footage and photo management, including file organization and backups Assist with basic photo and video editing where required Follow creative briefs, shot lists, and production requirements Maintain equipment carefully and professionally Work collaboratively with the creative and production team on client projects<br>What We’re Looking For Basic understanding of photography and videography Familiarity with cameras, lenses, lighting, and basic production equipment Basic knowledge of Adobe Premiere Pro, DaVinci Resolve, Lightroom, Photoshop, or similar software is an advantage Strong interest in commercial content creation and production Willingness to learn and take direction from experienced team members Good communication and teamwork skills Reliable, organized, and comfortable working in a fast-paced production environment Ability to work on location and adapt to different types of shoots A portfolio, showreel, or examples of previous photography/video work are preferred but not mandatory<br>What You’ll Gain You’ll get practical exposure to real commercial productions rather than working only on internal practice projects. You’ll have the opportunity to learn how professional shoots are planned, executed, and delivered while working with an experienced creative team.

<ul><li><p>Handle day-to-day <strong>ERP data entry and transactions</strong> for the Joinery division.</p></li><li><p>Enter and update <strong>sales orders, purchase orders, material requests, stock movements, production orders, and delivery details</strong> in the ERP system.</p></li><li><p>Maintain accurate records of <strong>raw materials, hardware, finished goods, and production-related data</strong>.</p></li><li><p>Coordinate with <strong>Production, Stores, Procurement, Projects, and Accounts</strong> to ensure timely and accurate ERP entries.</p></li><li><p>Monitor and update <strong>material receipts, issues, transfers, and inventory balances</strong>.</p></li><li><p>Prepare ERP-based reports and assist with <strong>production and inventory tracking</strong>.</p></li><li><p>Verify documents and ensure all entries are accurate and properly supported.</p></li><li><p>Follow up on pending transactions and resolve data discrepancies with relevant departments.</p></li><li><p>Maintain proper documentation and ensure ERP records are updated on time.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p><strong>ERP/data entry experience</strong>, preferably in a <strong>joinery company</strong>.</p></li><li><p>Good understanding of <strong>ERP systems and inventory/production processes</strong>.</p></li><li><p>Experience with <strong>SAP, Oracle, Microsoft Dynamics, Odoo, or similar ERP systems</strong> is preferred.</p></li><li><p>Good knowledge of <strong>MS Excel</strong> and basic reporting.</p></li><li><p>Strong attention to detail and accuracy.</p></li><li><p>Good coordination and communication skills.</p></li><li><p>Ability to work under deadlines and handle large volumes of data.</p></li><li><p>Knowledge of <strong>joinery materials, production processes, BOMs, and inventory</strong> will be an added advantage.</p></li><li><p><strong>UAE experience is preferred.</strong></p></li></ul>

<strong>Job Description<br><br></strong>Seeking a skilled Bit Welder with experience in TIG/MIG welding, hard facing, brazing, metal fabrication, and grinding to support bit manufacturing operations while meeting NOV Quality and HSE requirements.<br><br><strong>Responsibilities<br><br></strong><ul><li>Perform TIG/MIG welding, hard facing, brazing, and other metal welding processes.</li><li>Read and follow technical drawings and engineering specifications.</li><li>Assemble components according to engineering drawings and established procedures.</li><li>Set up and adjust equipment to ensure proper alignment of parts.</li><li>Lift, position, and secure workpieces safely during welding operations.</li><li>Ensure welding setups are approved by the senior operator or supervisor before production.</li><li>Use standard measuring instruments and inspection techniques.</li><li>Perform required manual grinding and hot-work activities.</li><li>Carry out operator-level machine maintenance and daily workplace cleaning.</li><li>Comply with all NOV Quality, HSE, and operational requirements.</li><li>Support other operations, shifts, or weekend work when required<br><br></li></ul><strong>Qualifications<br><br></strong><ul><li>Diploma in Mechanical Engineering/Technology, Metal Fabrication, or Welding Processes.</li><li>Vocational training with 2 years of relevant experience or equivalent practical experience.</li><li>Previous experience in production processes or light/heavy fabrication is preferred.</li><li>Ability to read and understand manufacturing drawings and schematics.</li><li>Experience in manual grinding operations.</li><li>Good understanding of manufacturing shop practices and procedures.</li><li>Ability to communicate effectively in English.</li><li>Good teamwork skills with the ability to work independently.</li><li>Knowledge of Quality and HSE requirements.<br><br></li></ul><strong>About Us<br><br></strong>Every day, the oil and gas industry’s best minds put more than 150 years of experience to work to help our customers achieve lasting success.<br><br><strong>We Power the Industry that Powers the World<br><br></strong>Throughout every region in the world and across every area of drilling and production, our family of companies has provided the technical expertise, advanced equipment, and operational support necessary for success—now and in the future.<br><br><strong>Global Family<br><br></strong>We are a global family of thousands of individuals, working as one team to create a lasting impact for ourselves, our customers, and the communities where we live and work.<br><br><strong>Purposeful Innovation<br><br></strong>Through purposeful business innovation, product creation, and service delivery, we are driven to power the industry that powers the world better.<br><br><strong>Service Above All<br><br></strong>This drives us to anticipate our customers’ needs and work with them to deliver the finest products and services on time and on budget.

<ul><li>Develop and implement preventive maintenance programs to minimize downtime and enhance equipment reliability.</li><li>Conduct regular inspections and assessments of machinery and equipment, identifying areas for improvement and recommending solutions.</li><li>Troubleshoot and diagnose mechanical, electrical, and hydraulic issues in a timely manner to ensure production continuity.</li><li>Collaborate with production teams to schedule maintenance activities that align with operational requirements and reduce disruption.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Mechanical Engineering, Electrical Engineering, or a related field, ensuring a solid technical foundation.</li><li>A minimum of 3-5 years of hands-on maintenance experience within a manufacturing or industrial environment.</li><li>Certifications in maintenance management (such as CMRP or CMRT) that demonstrate commitment to professional development.</li><li>Proven experience with PLCs and automation systems, essential for troubleshooting and maintaining modern industrial equipment.</li></ul>

CCC Advisory is a strategic and management consulting firm serving the media, entertainment and production industry across the GCC and wider MENA region.<br>We are building a network of subject matter experts to support client engagements across areas including content strategy and commissioning, production operations and optimization, content investment and ROI, AI and technology adoption in media, and production facilities advisory.<br>This is not a full-time role. We engage subject matter experts on a project and engagement basis, matched to the specific expertise a client mandate requires.<br>We are looking for professionals with deep, hands-on experience in one or more of the following:Broadcast and content strategy Production operations and finance Commissioning governance Media technology and AI adoption Production facilities Engineering Entertainment and Event Management<br>If you have this expertise and are interested in joining our network, please apply through the link below.<br>https://cccadvisory.com/experts