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cnc laser cutting machine operator

Leaders Training Center

Senior Technical Engineer &ndash; Carpentry &amp; Wood Factory OperationsLocation: Doha, QatarJob Type: Full-Time | On-SiteSalary: QAR 4,000 &ndash; 5,000Immediate Hiring: Candidates in Qatar are preferredWe are seeking an experienced Senior Technical Engineer with 4&ndash;6 years of professional experience in a carpentry workshop, joinery factory, furniture manufacturing, wood processing facility, or interior fit-out company.The ideal candidate will be responsible for overseeing production operations, coordinating technical activities, ensuring quality standards are met, managing factory resources, and supporting the successful delivery of projects.Key Responsibilities<ul><li>Supervise daily factory production and manufacturing activities</li><li>Review technical drawings, shop drawings, and production specifications</li><li>Plan and monitor production schedules to meet project deadlines</li><li>Coordinate with design, procurement, sales, and operations teams</li><li>Ensure efficient utilization of manpower, machinery, and materials</li><li>Monitor product quality and implement quality control procedures</li><li>Resolve technical and production-related issues</li><li>Supervise fabrication, assembly, finishing, and installation processes</li><li>Prepare production reports and progress updates</li><li>Support inventory planning and material procurement</li><li>Lead production teams and maintain high workmanship standards</li></ul>Requirements<ul><li>Bachelor's Degree or Diploma in Engineering or a related technical field</li><li>Minimum 4&ndash;6 years of experience in a joinery, carpentry, furniture manufacturing, or wood processing factory</li><li>Strong knowledge of woodworking machinery, materials, and production processes</li><li>Ability to read and interpret technical and shop drawings</li><li>Experience in production planning, factory operations, and quality control</li><li>Strong leadership, communication, and problem-solving skills</li><li>Experience in GCC countries will be an advantage</li></ul>Preferred Skills<ul><li>Experience in joinery, custom furniture manufacturing, and interior fit-out projects</li><li>Knowledge of CNC machines, panel saws, edge banders, and woodworking equipment</li><li>Understanding of production costing and material optimization</li><li>Immediate availability preferred</li></ul>To ApplyPlease send your updated CV with the subject line along with a short Video Introduction:&quot;Senior Technical Engineer &ndash; Carpentry &amp; Wood Factory Operations&quot;Email: tallat@leaders.qaWhatsApp: +974 3005 8021Pay: QAR4,000.00 - QAR5,000.00 per monthApplication Question(s):<ul><li>How many years of experience do you have in a Joinery, Carpentry, Furniture Manufacturing, or Wood Processing Factory?</li><li>Are you available to join immediately or within 30 days?</li><li>Which of the following areas do you have hands-on experience in?</li><li>Are you able to read and interpret technical drawings and shop drawings?</li><li>Have you supervised production teams and factory workers?</li><li>What is the largest production team you have managed?</li><li>Do you have experience with production planning, scheduling, and resource allocation?</li><li>Which woodworking machinery have you worked with? (CNC Machines-Panel Saws-Edge Banders-Cutting Machines-Finishing Equipment)</li><li>Do you have experience in quality control and production process improvement?</li><li>Have you worked in a GCC country before?</li><li>What types of projects have you handled (joinery, custom furniture, fit-out, wood manufacturing, etc.)</li><li>What is your last drwan Salary ?</li><li>What are your Salary Expectations for this role? </li></ul>Work Location: In person

Senior Technical Engineer (Carpentry & Wood Factory Operations)

London Bridge Medical & Surgery Center

Key Responsibilities:<ul><li>Assessing and planning nursing care requirements.</li><li>Providing pre- and post-operation care.</li><li>Monitoring and administering medication and intravenous infusions.</li><li>Writing records.</li><li>Organizing workloads.</li><li>Perform laser, slimming and facial treatments.</li><li>Coordinate files withdrawal and insertion back seamlessly.</li><li>Ensuring infection control implementation are always meet.</li><li>Coordinating nursing care.</li><li>Making sure all the patients have their needs met and receive appropriate attention.</li><li>Stock management.</li><li>Must drive key service quality processes at the clinic level.</li><li>Must personally meet and engage clients and manage VIP clients.</li><li>Must handle any irate client and solve problems.</li><li>Must ensure clinic cleanliness and hygiene at all times.</li><li>Other responsibilities will be provided by the head of department.</li></ul>Qualifications &amp; Skills:<ul><li>Valid Qatar Council for Healthcare Practitioners (QCHP) license.</li><li>Minimum of 2 years of clinical experience in a hospital setting</li><li>Strong knowledge of nursing best practices, clinical protocols, and medical procedures</li><li>Excellent communication and interpersonal skills</li></ul>Job Type: Full-timePay: QAR4,000.00 - QAR7,000.00 per monthApplication Question(s):<ul><li>Nationality (required for visa and licensing purposes in Qatar)?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Derma Nursing: 2 years (Required)</li></ul>Language:<ul><li>English (Required)</li><li>Arabic (Preferred)</li></ul>License/Certification:<ul><li>QID (Required)</li><li>QCHP License (Required)</li><li>Bachelor of Science in Nursing (BSN) Certificate (Required)</li></ul>Location:<ul><li>Doha (Required)</li></ul>Work Location: In person

Dermatology Nurse

Confidential

<div>
 
 
 Azure Cloud Architect + DevOps Engineer
 
 
 
 
 
 
 
 About the role
 
 
 
 Our entire stack runs on Azure Container Apps, App Services, Function Apps, Azure AI Search, Cosmos DB for PostgreSQL, Azure Database for PostgreSQL, Storage, Service Bus, Front Door plus an edge CDN provider (e.g. Cloudflare) for our public domains. We need one person who lives at the intersection of cloud architecture (designing the next major change) and operational DevOps (running the pipelines, the network, the cost, the security every day). You are not a platform-team-of-five behind a ticket queue; you are a builder / operator who owns the cloud end-to-end and partners with engineering to ship faster and cheaper.
 
 
 
 
 
 
 What you'll do
 
 
 
 
 Architecture
 
 
 
 &bull; Own the Azure architecture diagram across the platform and keep it current.
 
 
 &bull; Design changes to topology as the product grows (new container apps, replicas / autoscale rules, search-index sharding, queue strategies, multi-region considerations).
 
 
 &bull; Approve major infrastructure changes from engineering schema migrations on shared DBs, new public endpoints, new secrets in Key Vault, cross-service dependencies.
 
 
 &bull; Define and enforce naming conventions, resource tagging (cost centre, environment, owner), and resource-group structure across subscriptions.
 
 
 
 
 
 
 Networking &amp; edge
 
 
 
 &bull; Manage DNS (public domains and internal Azure DNS zones).
 
 
 &bull; Own Azure Front Door profiles origins, routes, rules, custom domains, SSL / TLS.
 
 
 &bull; Manage the edge CDN provider (e.g. Cloudflare) for public surfaces DNS, page rules, caching, purge workflows, security rules.
 
 
 &bull; Azure Application Gateway where still in play.
 
 
 &bull; WAF policies rule tuning, false-positive triage, blocking abusive traffic without blocking real users.
 
 
 &bull; Plan and execute domain migrations, certificate renewals, and edge cache strategy.
 
 
 
 
 
 
 DevOps &amp; CI/CD
 
 
 
 &bull; Own Azure DevOps Pipelines build / test / release templates, service connections, variable groups, environment approvals, artifact retention.
 
 
 &bull; Container build optimisation (image size, layer cache, build time), ACR retention policies.
 
 
 &bull; Deployment strategies blue / green via container-app revisions, canary rollouts, rollback playbooks.
 
 
 &bull; Pipeline templates that every engineering team can reuse without copy-paste.
 
 
 &bull; Secret management Key Vault references, rotating credentials, getting secrets out of .env files.
 
 
 
 
 
 
 FinOps / cost optimisation
 
 
 
 &bull; Continuously audit Azure spend across all subscriptions and bring monthly cost reports to leadership.
 
 
 &bull; Identify and execute cost-cutting moves right-sizing container apps, reserving compute where stable, switching tiers, killing zombie resources, reviewing egress / CDN charges.
 
 
 &bull; Quantify cost-versus-performance trade-offs for any proposed architecture change.
 
 
 
 
 
 
 Must-have experience
 
 
 
 &bull;
 
 6+ years
 
 in Azure as primary cloud (not someone who learned it last year).
 
 
 &bull; Azure services mastery: Container Apps, App Services, Function Apps, ACR, AKS basics, Azure Database for PostgreSQL, Cosmos DB for PostgreSQL (Citus), Storage Blob, Service Bus, Key Vault, Application Insights, Log Analytics.
 
 
 &bull; Azure Front Door (Standard + Premium) deep configuration experience.
 
 
 &bull; Edge CDN provider (e.g. Cloudflare) at the operational level zone management, page rules, firewall rules, cache purge, API automation.
 
 
 &bull; WAF rule design and tuning (Azure FD WAF or equivalent).
 
 
 &bull; DNS at scale public, private, split-horizon, NS delegation.
 
 
 &bull; Azure DevOps Pipelines YAML templates, multi-stage pipelines, service connections (and the permission politics of who can create them).
 
 
 &bull; Networking fundamentals VNet, NSG, peering, private endpoints, service endpoints.
 
 
 &bull; Strong scripting: Bash, PowerShell, Python; comfortable with the Azure CLI.
 
 
 &bull; IaC: Bicep or Terraform (at least one in production), and ARM as a fallback when reading legacy.
 
 
 &bull; FinOps practice has actually saved money in a prior role, not just read about it.
 
 
 
 
 
 
 Nice to have
 
 
 
 &bull;
 
 Azure certifications (AZ-104 / AZ-305 / AZ-400).
 
 
 
 &bull; Multi-subscription tenant management with Entra ID (formerly Azure AD).
 
 
 &bull; Kubernetes (AKS) even if not currently in use.
 
 
 &bull; SRE practices SLOs, error budgets, on-call rotations.
 
 
 &bull; Observability beyond App Insights Grafana, Datadog, ELK stacks.
 
 
 &bull; Database operations background (PostgreSQL HA, replication, point-in-time restore).
 
 
 &bull; Security background (CIS benchmarks, vulnerability scanning, container scanning).
 
</div>

Cloud Architect

Inspire Management Training Center

The AMI (Advanced Metering Infrastructure) System Operator is responsible for monitoring, operating, and maintaining AMI systems to ensure accurate and reliable collection of smart meter data. The role supports daily utility operations by monitoring system performance, resolving communication issues, managing meter data, and coordinating with field teams to maintain system reliability and efficiency.Job Responsibilities<ul><li>Monitor the performance and availability of AMI systems, smart meters, and communication networks.</li><li>Ensure successful collection, validation, and processing of meter data.</li><li>Investigate and resolve meter communication failures, outages, and data discrepancies.</li><li>Monitor system alarms and events and take appropriate corrective actions.</li><li>Perform routine system checks and support maintenance activities.</li><li>Coordinate with field technicians to troubleshoot and resolve meter-related issues.</li><li>Generate operational reports and analyze system performance metrics.</li><li>Execute remote meter operations, including meter reads, connect/disconnect services, and firmware updates.</li><li>Maintain accurate records of incidents, maintenance activities, and system performance.</li><li>Support testing, commissioning, and integration of new AMI devices and system enhancements.</li><li>Ensure compliance with operational procedures, data security, and regulatory requirements.</li></ul>Qualifications<ul><li>Bachelor's degree in Electrical Engineering, Computer Engineering, Information Technology, or a related field.</li><li>Minimum 4 years of experience in AMI system monitoring, MDM/HES operations, or a related technical field.</li><li>Knowledge of AMI architecture, smart meters, and communication technologies.</li><li>Experience with Meter Data Management Systems (MDMS) and AMI Head-End Systems is preferred.</li><li>Strong analytical, troubleshooting, and problem-solving skills.</li><li>Proficiency in Microsoft Office and system monitoring applications.</li><li>Good communication and teamwork skills.</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AMI System Operator: 4 years (Required)</li></ul>Location:<ul><li>Doha (Required)</li></ul>Work Location: In person

AMI System Operator

Scale AI

<div>
 Scale&rsquo;s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for national LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 We are hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI. You will also get the opportunity to develop and be part of creating custom datasets, evaluations, and fine-tuning these sophisticated models to maximize performance and apply on real world use cases with global reach.
 
 
 At Scale, we&rsquo;re not just building AI solutions&mdash;we are building repeatable blocks to enable the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a member of our rapidly expanding team, we&rsquo;d love to hear from you.
 
 
 
 You will:
 
 
 
 <ul>
 <li>
 Partner with public sector clients to deeply understand their challenges and define AI-driven solutions
 </li>
 <li>
 Build and deploy end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models
 </li>
 <li>
 Collaborate with cross-functional teams, including data annotation specialists, to create high-quality training datasets
 </li>
 <li>
 Design and maintain robust evaluation frameworks to ensure the reliability and effectiveness of AI models
 </li>
 <li>
 Participate in customer engagements, including occasional travel (approximately two weeks per quarter)
 </li>
 <li>
 Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing
 
 
 </li>
 </ul>
 
 Ideally you&rsquo;d have:
 
 
 
 <ul>
 <li>
 A strong engineering background, with a Bachelor&rsquo;s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
 </li>
 <li>
 7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++.
 </li>
 <li>
 2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines
 </li>
 <li>
 Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)
 </li>
 <li>
 Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets
 </li>
 <li>
 Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment
 
 
 </li>
 </ul>
 
 Nice to haves:
 
 
 
 <ul>
 <li>
 Experience working at a startup, particularly as founding engineer
 </li>
 <li>
 Experience building and deploying large-scale AI solutions
 </li>
 <li>
 Strong written and verbal communication skills to operate in a cross-functional team environment
 </li>
 <li>
 Proficiency in Arabic (if focused on language models)
 
 
 </li>
 </ul>
 
 For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted.
 
 
 Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process.
 
 
 
 
 
 PLEASE NOTE:
 
 
 
 Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta,
 
 
 Ernst
 
 
 &amp;
 
 
 Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
 
 
 
 
 We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 
</div>

Applied AI Engineer, Global Public Sector

Nova Care Cleaning and Facility Services

Marker Maker / Pattern Marker (Military Textile)Location: Qatar Job Type: Full-TimeJob SummaryNova Care is seeking an experienced Marker Maker / Pattern Marker with a strong background in military textile manufacturing to join our production team. The successful candidate will be responsible for creating accurate markers, optimizing fabric utilization, and supporting efficient cutting operations for military uniforms and tactical garments.Key Responsibilities<ul><li>Prepare and develop markers (cutting layouts) based on approved patterns and fabric widths.</li><li>Arrange pattern pieces to achieve maximum fabric efficiency and minimize material wastage.</li><li>Calculate fabric consumption and ensure accurate marker planning.</li><li>Coordinate with Pattern Makers, Cutting Supervisors, and Production Teams to meet production schedules.</li><li>Verify pattern measurements, grading, and marker accuracy before cutting.</li><li>Ensure compliance with quality standards and production specifications.</li><li>Maintain records of marker plans and fabric utilization.</li><li>Support continuous improvement initiatives to enhance productivity and reduce costs.</li></ul>Qualifications &amp; Requirements<ul><li>Minimum of 3 years of experience as a Marker Maker / Pattern Marker.</li><li>Proven experience in military textile manufacturing, military uniforms, tactical wear, or related garment industries.</li><li>Strong knowledge of pattern making, marker planning, grading, and fabric consumption calculations.</li><li>Familiarity with garment production processes and cutting room operations.</li><li>Ability to read and interpret technical specifications and garment measurements.</li><li>Excellent attention to detail and organizational skills.</li><li>Ability to work under pressure and meet production deadlines.</li></ul>What We Offer<ul><li>Competitive salary package.</li><li>Professional working environment.</li><li>Opportunities for career growth and development.</li></ul>How to ApplyInterested candidates may send their updated CV to:Email: novacaregc@gmail.com WhatsApp: +974 70780796Subject: Application for Pattern MarkerOnly shortlisted candidates will be contacted.Work Location: In person

Marker Maker / Pattern Marker (Military Textile)

malomatia

<div>
 
 Job Description
 
 
 
 Must Have
 
 
 <ul>
 <li>
 4+ years of software or machine-learning engineering experience, including hands-on experience deploying models to production.
 </li>
 <li>
 Demonstrated track record operationalizing models developed by data scientists into reliable, scalable, and observable production systems.
 </li>
 <li>
 Production experience with classical machine-learning workloads &mdash; distinct from generative-AI application development.
 </li>
 <li>
 Strong collaboration skills across data science, software engineering, and platform teams.
 </li>
 <li>
 Commitment to building reliable, well-engineered, and maintainable systems.
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 Experience with feature stores and large-scale or streaming data pipelines.
 </li>
 <li>
 Knowledge of infrastructure-as-code (e.g., Terraform) and cloud cost optimization.
 </li>
 <li>
 Experience with workflow orchestration tools (e.g., Apache Airflow).
 </li>
 <li>
 Familiarity with model-serving frameworks and API design for inference.
 </li>
 <li>
 Light exposure to generative-AI or LLM deployment.
 </li>
 <li>
 Experience operating systems in a regulated or enterprise environment.
 </li>
 <li>
 Cloud or MLOps certifications.
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build, deploy, and maintain production machine-learning pipelines, from data ingestion and feature processing through to model serving.
 </li>
 <li>
 Operationalize models developed by data scientists, ensuring reliability, scalability, reproducibility, and performance.
 </li>
 <li>
 Implement MLOps practices including CI/CD for machine learning, model versioning, automated retraining, and model registries.
 </li>
 <li>
 Design and maintain feature pipelines and, where relevant, feature stores.
 </li>
 <li>
 Set up monitoring and alerting for model performance, data drift, and system health, and respond to degradation.
 </li>
 <li>
 Optimize inference latency, throughput, and resource cost for deployed models.
 </li>
 <li>
 Containerize and orchestrate machine-learning workloads using Docker and Kubernetes on Oracle Cloud Infrastructure (OCI).
 </li>
 <li>
 Automate and harden data and model workflows to reduce manual intervention.
 </li>
 <li>
 Collaborate with data scientists on model handoff, packaging, and success metrics.
 </li>
 <li>
 Work with software engineers to integrate models into client-facing applications and services.
 </li>
 <li>
 Apply software-engineering best practices including testing, code review, and documentation to machine-learning systems.
 </li>
 <li>
 Troubleshoot and resolve production issues across the model-serving stack.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, or a related field; equivalent experience accepted.
 </li>
 <li>
 Strong Python engineering skills and production experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch.
 </li>
 <li>
 Hands-on experience with MLOps tooling (e.g., MLflow, Kubeflow) and CI/CD pipelines.
 </li>
 <li>
 Proficiency with containerization and orchestration (Docker, Kubernetes).
 </li>
 <li>
 Experience building and maintaining data pipelines and processing large datasets.
 </li>
 <li>
 Experience with cloud infrastructure, ideally Oracle Cloud Infrastructure (OCI) and OCI Data Science.
 </li>
 <li>
 Understanding of model monitoring, drift detection, and retraining strategies.
 </li>
 <li>
 Solid software-engineering fundamentals including testing and version control.
 </li>
 </ul>
</div>

ML Engineer

Explore 39+ Cnc laser cutting machine operator in Doha this July. Find roles across top companies and apply now to boost your career.