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قطر - الدوحة
Overview<br><br>As a Microsoft Data Center Technician (DCT), you will stage, set up and perform hardware deployments. In addition, you will also perform troubleshooting and diagnostics on equipment, as well as perform hardware decommissions for simple changes and refreshes following Standard Operating Procedures. This opportunity will allow you to deepen your understanding of Data Center standard processes and procedures, develop mentoring skills while providing guidance to peers, familiarizing yourself with security and data management procedures, and accelerate your career growth in the process.<br><br>Microsoft’s Cloud Operations & Innovation (CO+I) is the engine that powers our cloud services. As a CO+I DCT, you will perform a key role in delivering the core infrastructure and foundational technologies for Microsoft's online services including Bing, Office 365, Xbox, One Drive, and the Microsoft Azure platform. As a group, CO+I is focused on the personal and professional development of all employees and offers training and growth opportunities including Career Rotation Programs, Diversity & Inclusion training and events, and professional certifications.<br><br>Our infrastructure is comprised of a large global portfolio of more than 200 Data Centers in 32 countries and millions of servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide.<br><br>With environmental sustainability and optimization at the forefront of our data center design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.<br><br>Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.<br><br>Responsibilities<br><br>Performs diagnostics and troubleshooting following standard procedures, quickly identifies the cause(s) of issues, and replaces faulty components with minimal customer and business disruption. Performs post-execution quality checks and verifies that grounding, staging, labeling, and cabling are set up properly according to safety protocols, deployment standards, and planned Network Design Tasks (NDTs). Decommissions hardware for simple changes and refreshes (e.g., memory upgrades, rebuilds) following standard procedures with minimal guidance. Follows procedures to communicate, report, and escalate incidents to appropriate Microsoft data center operations management units, Technician Leads, and engineering specialists. Assists and provides guidance to other technicians to complete challenging or complex tasks. Completes required training aligned to the role and workload; observes more experienced technicians to gain hands-on experience and relevant on-the-job training Contributes to a positive and effective team environment by sharing information with others, contributing to regular team meetings, asking questions, and staying apprised of the status of others' work Has pride and a sense of accountability for the service quality, completeness, and resulting user experience; displays accountability and ownership of the data center facilities. Embodies our culture and values.<br><br>Qualifications<br><br>High school diploma, or equivalent and basic knowledge of computer hardware and components AND experience supporting IT equipment or related technology.<br><br>Background Check Requirements<br><br>Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:<br><br>Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.<br><br>While not required, we also look for the following Preferred Qualifications:<br><br>Experience supporting IT equipment or related technology. Applicable certifications: Comp TIA (A+, Server+, Network+), Basic Structure Cabling (BSC).<br><br>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.<br><br>Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
قطر - الدوحة
Overview<br><br>As a Microsoft Data Center Technician (DCT), you will stage, set up and perform hardware deployments. In addition, you will also perform troubleshooting and diagnostics on equipment, as well as perform hardware decommissions for simple changes and refreshes following Standard Operating Procedures. This opportunity will allow you to deepen your understanding of Data Center standard processes and procedures, develop mentoring skills while providing guidance to peers, familiarizing yourself with security and data management procedures, and accelerate your career growth in the process.<br><br>Microsoft’s Cloud Operations & Innovation (CO+I) is the engine that powers our cloud services. As a CO+I DCT, you will perform a key role in delivering the core infrastructure and foundational technologies for Microsoft's online services including Bing, Office 365, Xbox, One Drive, and the Microsoft Azure platform. As a group, CO+I is focused on the personal and professional development of all employees and offers training and growth opportunities including Career Rotation Programs, Diversity & Inclusion training and events, and professional certifications.<br><br>Our infrastructure is comprised of a large global portfolio of more than 200 Data Centers in 32 countries and millions of servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide.<br><br>With environmental sustainability and optimization at the forefront of our data center design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.<br><br>Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.<br><br>Responsibilities<br><br>Performs diagnostics and troubleshooting following standard procedures, quickly identifies the cause(s) of issues, and replaces faulty components with minimal customer and business disruption. Performs post-execution quality checks and verifies that grounding, staging, labeling, and cabling are set up properly according to safety protocols, deployment standards, and planned Network Design Tasks (NDTs). Decommissions hardware for simple changes and refreshes (e.g., memory upgrades, rebuilds) following standard procedures with minimal guidance. Follows procedures to communicate, report, and escalate incidents to appropriate Microsoft data center operations management units, Technician Leads, and engineering specialists. Assists and provides guidance to other technicians to complete challenging or complex tasks. Completes required training aligned to the role and workload; observes more experienced technicians to gain hands-on experience and relevant on-the-job training Contributes to a positive and effective team environment by sharing information with others, contributing to regular team meetings, asking questions, and staying apprised of the status of others' work Has pride and a sense of accountability for the service quality, completeness, and resulting user experience; displays accountability and ownership of the data center facilities. Embodies our culture and values.<br><br>Qualifications<br><br>High school diploma, or equivalent and basic knowledge of computer hardware and components AND experience supporting IT equipment or related technology.<br><br>Background Check Requirements<br><br>Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:<br><br>Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.<br><br>While not required, we also look for the following Preferred Qualifications:<br><br>Experience supporting IT equipment or related technology. Applicable certifications: Comp TIA (A+, Server+, Network+), Basic Structure Cabling (BSC).<br><br>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.<br><br>Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
قطر - الدوحة
About Commercial Bank Of Qatar<br><br>Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar’s economic development by offering a range of personal, business, government, international and investment services.<br><br>We believe in empowering our employees, providing them with opportunities for growth and professional development.<br><br>By Joining us, you’ll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.<br><br>Join us in shaping the future of banking!<br><br>Job Summary<br><br>Responsible for developing advanced machine learning models for banking use cases including pricing optimization, customer propensity modelling, and recommendation systems. This senior role requires deep expertise in statistical modelling and machine learning combined with substantial banking and financial services domain knowledge . The position focuses on translating complex business problems in areas such as Risk, Finance, Retail Banking, and Wholesale Banking into actionable ML solutions. Will leverage their understanding of banking products, regulatory requirements, and financial metrics to build models that drive measurable business value. The role requires a balance of domain expertise and technical capability, with sufficient programming skills in Python and SQL to develop and deliver working prototypes that can be transitioned to production.<br><br>Key Accountabilities<br><br>ML Model Development Design and develop machine learning models for pricing optimization, including dynamic pricing, rate optimization, and fee structures. Build propensity models for customer behavior prediction including churn, cross-sell, upsell, and product adoption. Develop recommendation systems for personalized product offerings, next-best-action, and customer engagement. Banking Domain Application Apply deep banking domain knowledge to frame business problems as ML solutions with measurable outcomes. Partner with Risk, Finance, and business units to identify high-value modeling opportunities. Ensure models incorporate relevant regulatory requirements, risk considerations, and business constraints. Analysis & Insights Conduct exploratory data analysis to identify patterns, relationships, and modeling opportunities in banking data. Translate model outputs into actionable business recommendations and insights. Develop model performance metrics aligned with business KPIs and financial outcomes. Create data visualizations and reports for stakeholder communication. Prototyping & Delivery Develop working prototypes in Python demonstrating model functionality and business value. Create clear documentation of model methodology, assumptions, limitations, and use cases. Collaborate with ML Engineers and AI Engineers to transition prototypes to production systems. Stakeholder Collaboration Partner with business stakeholders to understand requirements and validate model outputs. Present model results, methodology, and recommendations to senior management. Contribute to model governance, validation, and documentation requirements. Ensure compliance with data policies, ethical standards, and regulatory requirements.<br><br>Key Competencies<br><br>Machine Learning & Statistics Expert knowledge of supervised and unsupervised learning techniques for classification, regression, and clustering. Deep experience with pricing models, propensity modeling, and recommendation systems. Strong foundation in statistical analysis, hypothesis testing, and experimental design. Familiarity with deep learning frameworks (Tensor Flow, PyTorch) for advanced use cases. Banking Domain Expertise Comprehensive understanding of banking products (Retail or Corporate business), services, and customer lifecycle. Knowledge of Risk functions including credit risk, market risk, and operational risk frameworks. Understanding of Finance functions including P&L drivers, cost allocation, and profitability analysis. Familiarity with regulatory requirements affecting model development (IFRS 9, Basel, etc.). Technical Skills Python for data analysis and model development (pandas, scikit-learn, XGBoost, etc.). SQL – Advanced user (Stored Procedures, Window functions, Temp Tables, Recursive Queries). Experience with data visualization and reporting tools. Familiarity with Git (Git Hub/Git Lab) for version control. Basic understanding of Spark for large-scale data processing. Awareness of MLOps practices and model deployment concepts (MLflow, TFX). Communication & Collaboration Ability to translate complex analytical concepts into business language for non-technical stakeholders. Strong presentation skills for executive-level communication. Experience working with cross-functional teams across business and technology. Agile methodologies (Kanban, Scrum) experience.<br><br>Qualifications & Experience<br><br>Master's degree or PhD in Finance, Economics, Statistics, Mathematics, or quantitative field strongly preferred.8+ years of experience in data science or quantitative analysis roles. Minimum 5 years of experience in banking or financial services industry is mandatory. Proven track record of delivering ML models in pricing, propensity, or recommendation domains. Background in Risk, Finance, or quantitative functions within banking preferred. Experience with model validation, governance, and regulatory requirements in financial services. Professional certifications in Risk (FRM, PRM) or Finance (CFA) are a plus.<br><br>Why Commercial Bank?<br><br> Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance. An Innovation-Driven, Digital-First Environment where employees work with the latest tools and technologies to redefine banking Opportunities for Global Partnerships & International Exposure, connecting employees with global networks and perspectives. A focus on Employee Well-being & Work-Life Balance, ensuring a healthy and supportive environment for all team members Competitive Compensation & Benefits that ensure our employees are rewarded for their dedication and performance A strong Commitment to Diversity, Equity & Inclusion, fostering a culture that values every individual’s unique perspective. <br><br>At Commercial Bank, we don’t just offer careers, We shape futures by pioneering digital transformation in Qatar’s banking sector, blending digital-first approach to redefine banking through innovative solutions.<br><br>Disclaimer<br><br>We appreciate your interest in joining CBQ! Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CBQ reserves the right to modify, withdraw, or close it at any time without notice.
قطر - الدوحة
About Commercial Bank Of Qatar<br><br>Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar’s economic development by offering a range of personal, business, government, international and investment services.<br><br>We believe in empowering our employees, providing them with opportunities for growth and professional development.<br><br>By Joining us, you’ll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.<br><br>Join us in shaping the future of banking!<br><br>Job Summary<br><br>Responsible for developing advanced machine learning models for banking use cases including pricing optimization, customer propensity modelling, and recommendation systems. This senior role requires deep expertise in statistical modelling and machine learning combined with substantial banking and financial services domain knowledge . The position focuses on translating complex business problems in areas such as Risk, Finance, Retail Banking, and Wholesale Banking into actionable ML solutions. Will leverage their understanding of banking products, regulatory requirements, and financial metrics to build models that drive measurable business value. The role requires a balance of domain expertise and technical capability, with sufficient programming skills in Python and SQL to develop and deliver working prototypes that can be transitioned to production.<br><br>Key Accountabilities<br><br>ML Model Development Design and develop machine learning models for pricing optimization, including dynamic pricing, rate optimization, and fee structures. Build propensity models for customer behavior prediction including churn, cross-sell, upsell, and product adoption. Develop recommendation systems for personalized product offerings, next-best-action, and customer engagement. Banking Domain Application Apply deep banking domain knowledge to frame business problems as ML solutions with measurable outcomes. Partner with Risk, Finance, and business units to identify high-value modeling opportunities. Ensure models incorporate relevant regulatory requirements, risk considerations, and business constraints. Analysis & Insights Conduct exploratory data analysis to identify patterns, relationships, and modeling opportunities in banking data. Translate model outputs into actionable business recommendations and insights. Develop model performance metrics aligned with business KPIs and financial outcomes. Create data visualizations and reports for stakeholder communication. Prototyping & Delivery Develop working prototypes in Python demonstrating model functionality and business value. Create clear documentation of model methodology, assumptions, limitations, and use cases. Collaborate with ML Engineers and AI Engineers to transition prototypes to production systems. Stakeholder Collaboration Partner with business stakeholders to understand requirements and validate model outputs. Present model results, methodology, and recommendations to senior management. Contribute to model governance, validation, and documentation requirements. Ensure compliance with data policies, ethical standards, and regulatory requirements.<br><br>Key Competencies<br><br>Machine Learning & Statistics Expert knowledge of supervised and unsupervised learning techniques for classification, regression, and clustering. Deep experience with pricing models, propensity modeling, and recommendation systems. Strong foundation in statistical analysis, hypothesis testing, and experimental design. Familiarity with deep learning frameworks (Tensor Flow, PyTorch) for advanced use cases. Banking Domain Expertise Comprehensive understanding of banking products (Retail or Corporate business), services, and customer lifecycle. Knowledge of Risk functions including credit risk, market risk, and operational risk frameworks. Understanding of Finance functions including P&L drivers, cost allocation, and profitability analysis. Familiarity with regulatory requirements affecting model development (IFRS 9, Basel, etc.). Technical Skills Python for data analysis and model development (pandas, scikit-learn, XGBoost, etc.). SQL – Advanced user (Stored Procedures, Window functions, Temp Tables, Recursive Queries). Experience with data visualization and reporting tools. Familiarity with Git (Git Hub/Git Lab) for version control. Basic understanding of Spark for large-scale data processing. Awareness of MLOps practices and model deployment concepts (MLflow, TFX). Communication & Collaboration Ability to translate complex analytical concepts into business language for non-technical stakeholders. Strong presentation skills for executive-level communication. Experience working with cross-functional teams across business and technology. Agile methodologies (Kanban, Scrum) experience.<br><br>Qualifications & Experience<br><br>Master's degree or PhD in Finance, Economics, Statistics, Mathematics, or quantitative field strongly preferred.8+ years of experience in data science or quantitative analysis roles. Minimum 5 years of experience in banking or financial services industry is mandatory. Proven track record of delivering ML models in pricing, propensity, or recommendation domains. Background in Risk, Finance, or quantitative functions within banking preferred. Experience with model validation, governance, and regulatory requirements in financial services. Professional certifications in Risk (FRM, PRM) or Finance (CFA) are a plus.<br><br>Why Commercial Bank?<br><br> Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance. An Innovation-Driven, Digital-First Environment where employees work with the latest tools and technologies to redefine banking Opportunities for Global Partnerships & International Exposure, connecting employees with global networks and perspectives. A focus on Employee Well-being & Work-Life Balance, ensuring a healthy and supportive environment for all team members Competitive Compensation & Benefits that ensure our employees are rewarded for their dedication and performance A strong Commitment to Diversity, Equity & Inclusion, fostering a culture that values every individual’s unique perspective. <br><br>At Commercial Bank, we don’t just offer careers, We shape futures by pioneering digital transformation in Qatar’s banking sector, blending digital-first approach to redefine banking through innovative solutions.<br><br>Disclaimer<br><br>We appreciate your interest in joining CBQ! Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CBQ reserves the right to modify, withdraw, or close it at any time without notice.
قطر - الدوحة
About Commercial Bank Of Qatar<br><br>Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar’s economic development by offering a range of personal, business, government, international and investment services.<br><br>We believe in empowering our employees, providing them with opportunities for growth and professional development.<br><br>By Joining us, you’ll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.<br><br>Join us in shaping the future of banking!<br><br>Job Summary<br><br>Responsible for developing advanced machine learning models for banking use cases including pricing optimization, customer propensity modelling, and recommendation systems. This senior role requires deep expertise in statistical modelling and machine learning combined with substantial banking and financial services domain knowledge . The position focuses on translating complex business problems in areas such as Risk, Finance, Retail Banking, and Wholesale Banking into actionable ML solutions. Will leverage their understanding of banking products, regulatory requirements, and financial metrics to build models that drive measurable business value. The role requires a balance of domain expertise and technical capability, with sufficient programming skills in Python and SQL to develop and deliver working prototypes that can be transitioned to production.<br><br>Key Accountabilities<br><br>ML Model Development Design and develop machine learning models for pricing optimization, including dynamic pricing, rate optimization, and fee structures. Build propensity models for customer behavior prediction including churn, cross-sell, upsell, and product adoption. Develop recommendation systems for personalized product offerings, next-best-action, and customer engagement. Banking Domain Application Apply deep banking domain knowledge to frame business problems as ML solutions with measurable outcomes. Partner with Risk, Finance, and business units to identify high-value modeling opportunities. Ensure models incorporate relevant regulatory requirements, risk considerations, and business constraints. Analysis & Insights Conduct exploratory data analysis to identify patterns, relationships, and modeling opportunities in banking data. Translate model outputs into actionable business recommendations and insights. Develop model performance metrics aligned with business KPIs and financial outcomes. Create data visualizations and reports for stakeholder communication. Prototyping & Delivery Develop working prototypes in Python demonstrating model functionality and business value. Create clear documentation of model methodology, assumptions, limitations, and use cases. Collaborate with ML Engineers and AI Engineers to transition prototypes to production systems. Stakeholder Collaboration Partner with business stakeholders to understand requirements and validate model outputs. Present model results, methodology, and recommendations to senior management. Contribute to model governance, validation, and documentation requirements. Ensure compliance with data policies, ethical standards, and regulatory requirements.<br><br>Key Competencies<br><br>Machine Learning & Statistics Expert knowledge of supervised and unsupervised learning techniques for classification, regression, and clustering. Deep experience with pricing models, propensity modeling, and recommendation systems. Strong foundation in statistical analysis, hypothesis testing, and experimental design. Familiarity with deep learning frameworks (Tensor Flow, PyTorch) for advanced use cases. Banking Domain Expertise Comprehensive understanding of banking products (Retail or Corporate business), services, and customer lifecycle. Knowledge of Risk functions including credit risk, market risk, and operational risk frameworks. Understanding of Finance functions including P&L drivers, cost allocation, and profitability analysis. Familiarity with regulatory requirements affecting model development (IFRS 9, Basel, etc.). Technical Skills Python for data analysis and model development (pandas, scikit-learn, XGBoost, etc.). SQL – Advanced user (Stored Procedures, Window functions, Temp Tables, Recursive Queries). Experience with data visualization and reporting tools. Familiarity with Git (Git Hub/Git Lab) for version control. Basic understanding of Spark for large-scale data processing. Awareness of MLOps practices and model deployment concepts (MLflow, TFX). Communication & Collaboration Ability to translate complex analytical concepts into business language for non-technical stakeholders. Strong presentation skills for executive-level communication. Experience working with cross-functional teams across business and technology. Agile methodologies (Kanban, Scrum) experience.<br><br>Qualifications & Experience<br><br>Master's degree or PhD in Finance, Economics, Statistics, Mathematics, or quantitative field strongly preferred.8+ years of experience in data science or quantitative analysis roles. Minimum 5 years of experience in banking or financial services industry is mandatory. Proven track record of delivering ML models in pricing, propensity, or recommendation domains. Background in Risk, Finance, or quantitative functions within banking preferred. Experience with model validation, governance, and regulatory requirements in financial services. Professional certifications in Risk (FRM, PRM) or Finance (CFA) are a plus.<br><br>Why Commercial Bank?<br><br> Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance. An Innovation-Driven, Digital-First Environment where employees work with the latest tools and technologies to redefine banking Opportunities for Global Partnerships & International Exposure, connecting employees with global networks and perspectives. A focus on Employee Well-being & Work-Life Balance, ensuring a healthy and supportive environment for all team members Competitive Compensation & Benefits that ensure our employees are rewarded for their dedication and performance A strong Commitment to Diversity, Equity & Inclusion, fostering a culture that values every individual’s unique perspective. <br><br>At Commercial Bank, we don’t just offer careers, We shape futures by pioneering digital transformation in Qatar’s banking sector, blending digital-first approach to redefine banking through innovative solutions.<br><br>Disclaimer<br><br>We appreciate your interest in joining CBQ! Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CBQ reserves the right to modify, withdraw, or close it at any time without notice.
toto
قطر - Qatar
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>BORNAN SPORTS TECHNOLOGY is a company specialized in technological innovation applied to sports. We develop technological products for all types of sporting events, large or small, nationally and internationally. Our company is proud to offer a comprehensive range of services, including results, timing and television graphics in real time. Throughout the year, we will be participating in multiple major sporting events across Latin America and Asia, and we are looking for motivated individuals who are excited to travel internationally and operate on site at sports venues. Your role will involve capturing real time sports data for the discipline assigned to you, working directly from the venue while watching the matches live. Before traveling, you will receive in depth training at our office in Lusail, Qatar. Accommodation and transportation are covered by the company. This is a permanent intermittent contract, allowing you to collaborate with us across different sporting events around the world.</p><p>What You Will Do?</p><ul><li>Travel to sports venues in various countries to operate onsite.</li><li>Record and input live, real time sports data with precision and speed.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Qualifications & Skills We Are Looking For:</p><ul><li>Studies related to sports or technology.</li><li>Previous experience in sporting events is an advantage.</li><li>Advanced level of English, both spoken and written, a test will be conducted.</li><li>Additional languages are a plus.</li><li>Genuine passion for sports and new technologies.</li><li>Good knowledge of Microsoft Office.</li><li>Strong teamwork skills, initiative, and the ability to stay focused under pressure.</li></ul><p></p></section>
toto
قطر
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p>The <b>Technical Manager</b> is responsible for the overall technical leadership, design coordination, and engineering management of hyperscale data centre projects during design, construction, testing, commissioning, and handover phases. The role ensures that all CSA, MEP, ELV, and IT/ICT systems are delivered in accordance with hyperscale client requirements, Tier III / Tier IV standards, and international best practices, ensuring high availability, resiliency, operational readiness, and quality execution.</p><p><br></p><p><b>Key Responsibilities:</b></p><p><b>Technical Leadership & Governance</b></p><ul><li>Act as the technical authority across Civil, Structural, Electrical, Mechanical, ELV, and ICT disciplines.</li><li>Ensure alignment with hyperscale client standards and Uptime Institute Tier III / Tier IV requirements.</li><li>Lead multidisciplinary engineering coordination throughout the project lifecycle.</li><li>Ensure technical compliance, resiliency, and operational reliability across all infrastructure systems.</li><li>Support technical governance, engineering standards, and project delivery frameworks.</li></ul><p><br></p><p><b>Design Management & Coordination</b></p><ul><li>Lead and manage design consultants and engineering teams.</li><li>Review and approve concept, schematic, and detailed engineering designs.</li><li>Review IFC drawings, shop drawings, technical submittals, and engineering documentation.</li><li>Ensure clash-free and coordinated designs across all disciplines.</li><li>Drive value engineering and technical optimization initiatives.</li><li>Ensure constructability, maintainability, and operational requirements are incorporated into the design.</li></ul><p><br></p><p><b>Engineering Integration</b></p><ul><li>Ensure seamless integration between CSA, MEP, ELV, and ICT systems.</li><li>Validate redundancy strategies including N+1, 2N, and 2N+1 configurations.</li><li>Ensure resiliency, maintainability, and operational continuity requirements are achieved.</li><li>Coordinate power, cooling, and critical infrastructure integration activities.</li></ul><p><br></p><p><b>Construction Phase Technical Oversight</b></p><ul><li>Manage design reviews, technical workshops, and engineering approvals.</li><li>Oversee design integration between critical infrastructure systems.</li><li>Ensure constructability, operability, and maintainability requirements are addressed.</li><li>Support value engineering and technical optimization initiatives.</li><li>Review technical submittals, shop drawings, RFIs, and method statements.</li></ul><p><br></p><p><b>Construction Phase Technical Oversight</b></p><ul><li>Provide technical support during construction and installation activities.</li><li>Ensure compliance with approved designs, project specifications, and quality standards.</li><li>Resolve technical issues, discrepancies, and engineering challenges on site.</li><li>Support site teams with method statement reviews and technical clarifications.</li><li>Participate in inspections, technical reviews, and coordination meetings.</li></ul><p><br></p><p><b>Testing, Commissioning & Validation</b></p><ul><li>Oversee and support FAT, SAT, IST, and integrated systems testing activities.</li><li>Review commissioning plans, procedures, and testing scripts.</li><li>Ensure systems meet performance, reliability, and operational readiness requirements.</li><li>Participate in failure scenario testing and black building tests.</li><li>Support Level 1–5 commissioning activities and final handover processes.</li></ul><p><br></p><p><b>Interface with Commissioning Authority (CxA)</b></p><ul><li>Coordinate closely with the Commissioning Authority (CxA) and Commissioning Manager (CxM).</li><li>Ensure successful execution of commissioning activities across all infrastructure systems.</li><li>Support issue resolution and commissioning closeout activities.</li></ul><p><br></p><p><b>Quality Assurance & Compliance</b></p><ul><li>Ensure compliance with project specifications and international standards.</li><li>Maintain compliance with TIA-942, NFPA, IEC, ASHRAE, QCS, Kahramaa, and QCDD requirements.</li><li>Oversee ITPs, inspections, quality audits, and technical compliance reviews.</li><li>Ensure closure of snags, punch lists, and non-conformances.</li></ul><p><br></p><p><b>Risk Management & Value Engineering</b></p><ul><li>Identify and mitigate technical risks, design conflicts, and project constraints.</li><li>Lead value engineering workshops and optimization initiatives.</li><li>Optimize cost, efficiency, and system performance without compromising reliability.</li></ul><p><br></p><p><b>Vendor & Stakeholder Management</b></p><ul><li>Interface with OEMs, suppliers, consultants, contractors, and client technical teams.</li><li>Review vendor designs, technical submissions, and compliance documentation.</li><li>Ensure alignment with project technical and operational requirements.</li></ul><p><br></p><p><b>Documentation & Handover</b></p><ul><li>Oversee preparation of as-built drawings, O&M manuals, and technical documentation.</li><li>Ensure complete documentation and compliance records for project handover.</li><li>Support client training, operational readiness, and knowledge transfer activities.</li></ul><p><br></p><p><b>Governance & Reporting</b></p><ul><li>Maintain technical documentation, reports, and engineering trackers.</li><li>Present technical updates to senior management and stakeholders.</li><li>Support PMO and project governance processes.</li><li>Ensure all technical deliverables meet project timelines and quality standards.</li></ul><p><br></p><p><br></p> </div><h2 class="h5">Skills</h2>
<div data-jb-field="skills"><p><b>Qualifications & Experience:</b></p><ul><li>Minimum 12–18 years of experience in engineering and project delivery.</li><li>At least 5–8 years of experience in data centre or mission-critical infrastructure projects.</li><li>Proven experience delivering hyperscale data centres with IT loads exceeding 20MW.</li><li>Strong background in Tier III / Tier IV mission-critical facilities.</li><li>Bachelor’s degree in Electrical, Mechanical, Civil Engineering, or related discipline.</li><li>Master’s degree is an advantage.</li><li>Strong understanding of data centre architecture, power systems, cooling infrastructure, and redundancy design.</li><li>Strong knowledge of TIA-942, Uptime Institute, NFPA, IEC, and ASHRAE standards.</li><li>Familiarity with QCS, Kahramaa, and Qatar authority requirements.</li><li>Experience using AutoCAD, Revit, Primavera P6, and MS Project.</li><li>Excellent leadership, technical coordination, and stakeholder management skills.</li><li>PMP, Uptime Institute ATD/ATS, or similar certifications are preferred.</li></ul><p><br></p></div>
قطر - الدوحة
Overview<br><br>As a Microsoft Data Center Inventory & Asset Technician (DIAT), you will perform cycle audits, execute incoming/outgoing deliveries, coordinate security escorts for third-party vendors, and document inbound and outbound deliveries. This opportunity will allow you to deepen your knowledge of inventory management principles, warranty process management, data bearing device destruction and advance your career in the process.<br><br>Microsoft’s Cloud Operations & Innovation (CO+I) is the engine that powers our cloud services. As a CO+I DIAT, you will perform a key role in delivering the core infrastructure and foundational technologies for Microsoft's online services including Bing, Office 365, Xbox, One Drive, and the Microsoft Azure platform. As a group, CO+I is focused on the personal and professional development of all employees and offers training and opportunities including Career Rotation Programs, Diversity & Inclusion training and events, and professional certifications.<br><br>Our infrastructure is comprised of a large global portfolio of more than 200 Data Centers in 32 countries and millions of servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide.<br><br>With environmental sustainability and optimization at the forefront of our data center design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.<br><br>Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.<br><br>Responsibilities<br><br>Responsibilities<br><br>Perform assigned tasks and escalate issues during high-volume work activity or escalation-based situations. Coordinate with suppliers to initiate warranty claim and process failed vendor hardware devices. This includes information processing, packaging, shipment, and receipt of return for Return Merchandise Authorization (RMA) devices following all Service Level Agreements (SLAs) related to RMA warranty process. Leverage process knowledge and best judgment to complete tasks with minimal direct supervision. Maintains a strong focus to understand the impact of their work when completing tickets and assigned Inventory and Asset Management (IAM) tasks. Maintains and steward up-to-date and accurate logical information within various inventory management systems (e.g., configuration management databases, asset management repositories). Ensures detailed physical inventory tracking and staging. Help to reconcile and report inventory discrepancies. Performs destruction of data bearing devices (DBD) following all Service Level Agreements (SLAs) and Microsoft policies as necessary. Notifies management about ordering stock shortages. Escalates any issues to management. Comply with security and data management policies. Embody our culture and values.<br><br>Qualifications<br><br>Required Qualifications<br><br>High School Diploma AND experience warehouse/supply chain in an information technology (IT) environment, inventory management, retail, warehouse management, or a related field. OR equivalent experience. Ability to work shifts, including shift assignments during non-standard business hours that may include evening, nighttime, weekends, and/or holidays<br><br>Background Check Requirements<br><br>Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:<br><br>Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.<br><br>While not required, we also look for the following Preferred Qualifications: 2+ year(s) experience in warehouse/supply chain in an information technology (IT) environment, IT, and/or logistics, operating heavy-load movement equipment (e.g., forklift, pallet jacks, chassis lifts) for a large corporation OR equivalent experience.<br>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.<br><br>Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
قطر - Al Rayyan
About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get To Know Our Team:<br><br>Join a small platform team building the next generation of natural-language analytics at Agoda. You will own the governed knowledge layer between our data warehouse and the applications, assistants, and analysts that consume it: metrics, domain context, quality signals, and the APIs that expose them. This is semantic modeling and knowledge engineering, not dashboard reporting or model training.<br><br>The Opportunity:<br><br>You will design and operate the shared knowledge layer behind conversational analytics at Agoda: turning scattered business knowledge into versioned, reviewable assets that return consistent, current answers. You pair with a senior tech lead on product architecture. Your scope is the layer itself (models, context, validation, governance workflows) and how it is exposed through service and agent interfaces.<br><br>What You’ll Do:<br><br>Model governed metrics, dimensions, joins, and grain for business domains Structure expert context, glossaries, and validated question patterns as Git-reviewed assets Build freshness, drift, and validation signals; treat stale knowledge as a production issue Expose the layer through APIs so applications and agents get deterministic answers Enable domain owners to propose, review, and publish knowledge without engineering deploys Partner across analytics, product, and platform teams on access control and quality standards<br><br>Required Qualifications:<br><br>4+ years in BI, analytics engineering, data platform, or software engineering with heavy data modeling Semantic or metrics-layer experience (Look ML, dbt metrics, or equivalent) Strong SQL and analytical modeling on OLAP / warehouse systems Knowledge engineering: versioned definitions, peer review, contributor workflows API / service mindset: you design for multiple consumers, not a single dashboard Clear communication across engineering, analytics, and product partners<br><br>Preferred Qualifications:<br><br>Open-source semantic layer engines (Cube, Metric Flow patterns) Agent or tool-interface experience for LLM-powered applications NL-to-data products, retrieval, or evaluation harnesses Python or Node.js service development Large-scale e-commerce or travel analytics environments<br><br>#sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
قطر - الدوحة
About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get To Know Our Team:<br><br>Join a small platform team building the next generation of natural-language analytics at Agoda. You will own the governed knowledge layer between our data warehouse and the applications, assistants, and analysts that consume it: metrics, domain context, quality signals, and the APIs that expose them. This is semantic modeling and knowledge engineering, not dashboard reporting or model training.<br><br>The Opportunity:<br><br>You will design and operate the shared knowledge layer behind conversational analytics at Agoda: turning scattered business knowledge into versioned, reviewable assets that return consistent, current answers. You pair with a senior tech lead on product architecture. Your scope is the layer itself (models, context, validation, governance workflows) and how it is exposed through service and agent interfaces.<br><br>What You’ll Do:<br><br>Model governed metrics, dimensions, joins, and grain for business domains Structure expert context, glossaries, and validated question patterns as Git-reviewed assets Build freshness, drift, and validation signals; treat stale knowledge as a production issue Expose the layer through APIs so applications and agents get deterministic answers Enable domain owners to propose, review, and publish knowledge without engineering deploys Partner across analytics, product, and platform teams on access control and quality standards<br><br>Required Qualifications:<br><br>4+ years in BI, analytics engineering, data platform, or software engineering with heavy data modeling Semantic or metrics-layer experience (Look ML, dbt metrics, or equivalent) Strong SQL and analytical modeling on OLAP / warehouse systems Knowledge engineering: versioned definitions, peer review, contributor workflows API / service mindset: you design for multiple consumers, not a single dashboard Clear communication across engineering, analytics, and product partners<br><br>Preferred Qualifications:<br><br>Open-source semantic layer engines (Cube, Metric Flow patterns) Agent or tool-interface experience for LLM-powered applications NL-to-data products, retrieval, or evaluation harnesses Python or Node.js service development Large-scale e-commerce or travel analytics environments<br><br>#sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
قطر - الدوحة
???? Welcome to Your Next Adventure!<br><br>???? What You’ll Get Your Hands On<br><br>Act as a strategic advisor, combining technical expertise with domain knowledge to solve complex business challenges and unlock growth opportunities. Unblock team members and drive solutions under tight timelines, ensuring delivery without compromising on quality or technical standards. Build, mentor, and lead a high-performing DS&AI team, fostering technical excellence, business impact, continuous learning, and professional growth. Drive innovation by researching, evaluating, and integrating cutting-edge techniques (e.g. advanced forecasting, personalization, generative AI) into production solutions. Shape and influence the organizational data strategy, defining standards and practices to maximize long-term business impact. Lead and oversee the full lifecycle of high-impact DS&AI projects, from scoping and design to production deployment, ensuring measurable outcomes for the business. Define and communicate the technical vision for the DS&AI team, ensuring alignment of solutions with company strategy and stakeholder priorities. Safeguard project quality by setting technical best practices, reviewing designs, and providing strategic technical guidance across initiatives. Guide experimentation and model validation through advanced methodologies (A/B testing, switchbacks, Bayesian approaches), ensuring results translate into business KPIs. Oversee deployment, monitoring, and scaling of ML and Gen AI systems, ensuring performance, governance, and sustainability at scale.<br><br>????♂️ The Magic You Bring<br><br>MSc in Data Science, Big Data, AI, Statistics, or a related field.5+ years of experience in data science, machine learning, or statistical modeling, with at least 1 year in a leadership role. Advanced expertise in statistical modeling, experimental design, and specialized ML/DL domains (e.g. recommendation systems, time series, NLP, AI agents). Proven track record of leading end-to-end, high-impact projects from problem framing to deployment, with ownership of business metrics and measurable value delivery. Strong leadership and stakeholder management skills, with the ability to define technical direction and align it with strategic business priorities. Demonstrated ability to grow and mentor teams, set high technical standards, and ensure long-term quality and sustainability of DS & AI products. Proven success in leading teams through the design, deployment, and scaling of ML/DL models in production, with strategy-setting for real-time, low-latency, and streaming environments. Experience defining strategy and leading cross-functional teams to build, deploy, and scale LLM-based applications. Deep expertise in SQL, with the ability to architect, debug, and optimize highly complex queries and pipelines for large-scale data environments.<br><br>✨ Bonus Points If You Have<br><br>Proven expertise in marketplaces, delivery, or logistics tech, with the ability to compound DS methods with deep domain knowledge.<br><br>Inside Snoonu’s Universe<br><br>Snoonu is Qatar’s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more – all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.<br><br>The Dream We’re Chasing<br><br>To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time.<br><br>The Quest We’re On<br><br>To radically transform how people live by leveraging technology to connect them with endless possibilities.<br><br>Our Everyday Superpowers<br><br>???? Be Customer Obsessed: “Focus on the customer and all else will follow.”<br><br>???? Act with Integrity: “We are honest, ethical, and trustworthy in everything we do.”<br><br>???? Be Curious and Creative: “We constantly innovate and create solutions to bring a lasting positive impact.”<br><br>????Lead by Example and Take Ownership: “Be the change you want to see and take ownership.”<br><br>???? Work Smart and Deliver Results: “You can do more by doing less, better, and faster.”<br><br>???????? It's All About People: “Be a team player; together we are stronger.”<br><br>Perks & Worklife Magic At Snoonu<br><br>???? Global Vibes – Collaborate with a worldwide crew.<br><br>???? Brain Boosters – Learning budgets, access to courses, and tools for your growth.<br><br>???? Builder’s Playground – Own your tasks, own your path! We’re big on autonomy.<br><br>????️ Flexible Time Off – We take recharging seriously. Generous leave and wellness policies.<br><br>????️ Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops.<br><br>Great Place to Work® Certified<br><br>We’re certified as a Great Place to Work®, a recognition that celebrates a culture we’ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work.<br><br>Certified for Excellence<br><br>Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people.<br><br>Beyond the Code: Giving Back Matters<br><br>We don’t just build apps. We’re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we’re always finding ways to do better—and we invite you to be a part of that mission.<br><br>Diversity Isn’t Just a Buzzword<br><br>At Snoonu, fairness and inclusion are the foundation of everything we do. We’re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.<br><br>Let’s Build the Future Together<br><br>Apply now to join a team where your contributions spark a change and your voice is heard. Let’s make some magic together.<br><br>Stay in the loop—connect with us on Linked In!
قطر - الدوحة
Please submit your resume in English and indicate your level of English.<br><br>At Toloka, we connect smart, curious people from around the world with freelance online tasks that train and improve artificial intelligence.<br><br>What We Do<br><br>The Toloka Annotators connects individuals with Generative AI projects from leading tech innovators. Our mission is to unlock the full potential of AI by involving real people from around the world in the development process.<br><br>About The Role<br><br>Annotation is what helps AI make sense of the world. As an annotator, you may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses - when projects are available.<br><br>Responsibilities:<br><br>Carefully review provided data (text, images, or videos) Label or classify content based on project guidelines Identify and flag factually incorrect, sensitive, inappropriate, or unclear material <br><br>Important note: This is project-based work. Tasks are available only when projects are active. You may be invited to one or more projects depending on your profile and current opportunities.<br><br>Each project has its own compensation level based on scope and expertise required. On this project, AI trainers earn up to $17 per hour equivalent.<br><br>Requirements<br><br>Bachelor's degree in any discipline Minimum 1 year of experience in any professional role Advanced level of English (C1 or higher), both written and spoken Logical thinking, fact-checking and reasoning abilities Strong attention to detail and ability to understand and follow complex instructions Strong communication skills, including the ability to ask clarifying questions when needed Genuine interest in technology and artificial intelligence<br><br>Benefits<br><br>Why this freelance opportunity might be a great fit for you? <br><br>Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments Work on advanced AI projects and gain valuable experience that enhances your portfolio Influence how future AI models understand and communicate in your field of expertise
قطر - الدوحة
Please submit your resume in English and indicate your level of English.<br><br>At Toloka, we connect smart, curious people from around the world with freelance online tasks that train and improve artificial intelligence.<br><br>What We Do<br><br>The Toloka Annotators connects individuals with Generative AI projects from leading tech innovators. Our mission is to unlock the full potential of AI by involving real people from around the world in the development process.<br><br>About The Role<br><br>Annotation is what helps AI make sense of the world. As an annotator, you may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses - when projects are available.<br><br>Responsibilities:<br><br>Carefully review provided data (text, images, or videos) Label or classify content based on project guidelines Identify and flag factually incorrect, sensitive, inappropriate, or unclear material <br><br>Important note: This is project-based work. Tasks are available only when projects are active. You may be invited to one or more projects depending on your profile and current opportunities.<br><br>Each project has its own compensation level based on scope and expertise required. On this project, AI trainers earn up to $17 per hour equivalent.<br><br>Requirements<br><br>Bachelor's degree in any discipline Minimum 1 year of experience in any professional role Advanced level of English (C1 or higher), both written and spoken Logical thinking, fact-checking and reasoning abilities Strong attention to detail and ability to understand and follow complex instructions Strong communication skills, including the ability to ask clarifying questions when needed Genuine interest in technology and artificial intelligence<br><br>Benefits<br><br>Why this freelance opportunity might be a great fit for you? <br><br>Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments Work on advanced AI projects and gain valuable experience that enhances your portfolio Influence how future AI models understand and communicate in your field of expertise
قطر - الدوحة
Job Title – Data Network L1 Engineer / MPLS NOC Engineer / SD-WAN Support – L1Company – TCS (MEA) Location – Doha, Qatar Job type – Full time About Us:Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News. Job Description:<br>Key Responsibilities1. Network Monitoring & Event Handling Monitor network using NMS/EMS tools (Solar Winds, PRTG, Sev One, etc.) Track alerts for: Internet Not working Services Down MPLS link down / latency / packet loss VPN tunnel down SD-WAN edge device issues Interface/utilization alerts Degradation on the link Identify service impact and classify alarms (P1/P2/P3)<br>2. Incident Management Log incidents in tools (Service Now / Remedy / Jira) Categorize based on service, severity, and impact Ensure timely acknowledgment and updates Follow defined SLA / TAT<br>3. Initial Troubleshooting Perform first-level checks: Interface status (up/down) Device reachability (ping/traceroute) Bandwidth/utilization VPN tunnel status Basic SD-WAN checks Validate whether issue is: Access issue ISP problem Device-level fault<br>4. Escalation Handling Escalate to L2 / OEM / ISP / Field teams Follow defined escalation matrix for P1/P2 cases Ensure no delay in high-priority incidents<br>5. Communication & Coordination Provide regular updates to stakeholders Support bridge calls during outages Share shift handover notes and status summary<br>6. Process & SLA Compliance Ensure incident lifecycle adherence Maintain proper documentation in tickets Follow SOPs and audit requirements<br>Required Technical Skills Basic understanding of: TCP/IP, Routing & Switching MPLS concepts (L2VPN/L3VPN – basic) SD-WAN basics (overlay/underlay) Internet & VPN services Familiarity with: Ping, traceroute, basic CLIMonitoring tools and ticketing systems.<br>Application Deadline: 20-Sep-2026 Privacy Note:https://www.tcs.com/connect-with-tcs/privacy-policy
قطر - الدوحة
Job Title – Data Network L1 Engineer / MPLS NOC Engineer / SD-WAN Support – L1Company – TCS (MEA) Location – Doha, Qatar Job type – Full time About Us:Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News. Job Description:<br>Key Responsibilities1. Network Monitoring & Event Handling Monitor network using NMS/EMS tools (Solar Winds, PRTG, Sev One, etc.) Track alerts for: Internet Not working Services Down MPLS link down / latency / packet loss VPN tunnel down SD-WAN edge device issues Interface/utilization alerts Degradation on the link Identify service impact and classify alarms (P1/P2/P3)<br>2. Incident Management Log incidents in tools (Service Now / Remedy / Jira) Categorize based on service, severity, and impact Ensure timely acknowledgment and updates Follow defined SLA / TAT<br>3. Initial Troubleshooting Perform first-level checks: Interface status (up/down) Device reachability (ping/traceroute) Bandwidth/utilization VPN tunnel status Basic SD-WAN checks Validate whether issue is: Access issue ISP problem Device-level fault<br>4. Escalation Handling Escalate to L2 / OEM / ISP / Field teams Follow defined escalation matrix for P1/P2 cases Ensure no delay in high-priority incidents<br>5. Communication & Coordination Provide regular updates to stakeholders Support bridge calls during outages Share shift handover notes and status summary<br>6. Process & SLA Compliance Ensure incident lifecycle adherence Maintain proper documentation in tickets Follow SOPs and audit requirements<br>Required Technical Skills Basic understanding of: TCP/IP, Routing & Switching MPLS concepts (L2VPN/L3VPN – basic) SD-WAN basics (overlay/underlay) Internet & VPN services Familiarity with: Ping, traceroute, basic CLIMonitoring tools and ticketing systems.<br>Application Deadline: 20-Sep-2026 Privacy Note:https://www.tcs.com/connect-with-tcs/privacy-policy
قطر - الدوحة
Job Title – Data Network L2 Engineer / MPLS / SD-WAN Specialist Company – TCS (MEA) Location – Doha, Qatar Job type – Full time<br>About Us:Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.<br>Job Description:<br> Key Responsibilities1. Advanced Troubleshooting & Fault Isolation Diagnose complex issues related to:MPLS L3VPN / L2VPN failures Routing issues (BGP, OSPF, Static routes) SD-WAN overlay/underlay instability Latency, jitter, packet loss Perform deep analysis using CLI, logs, and monitoring tools<br>2. Incident Resolution & Service Restoration Own P1/P2 incidents escalated by L1Restore services within MTTR targets Troubleshoot:PE/CE connectivity issues VRF routing problems Tunnel failures (IPSec/SD-WAN) QoS-related degradation<br>3. Routing & Protocol Analysis Hands-on experience in:BGP (peering, route propagation issues) OSPF (neighbourship, LSDB issues) MPLS labels & forwarding Identify routing loops, flaps, asymmetry<br>4. SD-WAN Operations Troubleshoot SD-WAN solutions (Viptela, Meraki, Fortinet etc.) Validate:Edge device status Control connections Overlay tunnels Policy/config issues<br>5. Root Cause Analysis (RCA) Perform detailed RCA for major incidents Identify root causes:Config issues Hardware/software fault ISP/backhaul issues Policy misconfigurations Provide Corrective & Preventive Actions (CAPA)<br>6. Change & Implementation Support Validate and support:Network changes Config modifications Routing updates Device upgrades Ensure impact assessment and rollback readiness<br>7. Vendor & Stakeholder Management Coordinate with:OEMs (Cisco, Juniper, Fortinet, etc.) ISPs / carrier providers Manage vendor escalations and TAC cases<br>8. Performance & Stability Improvement Analyze recurring incidents Drive network optimization Recommend improvements for:Routing stability Bandwidth optimization SD-WAN policy tuning<br>9. L1 Support & Governance Guide L1 team on troubleshooting Improve SOPs and knowledge base Ensure quality checks on ticket handling<br>Required Technical Skills Strong expertise in:MPLS (L2/L3 VPN) Routing protocols – BGP, OSPFTCP/IP stack SD-WAN architecture (Viptela/Meraki/Fortinet) Hands-on in:CLI troubleshooting Network logs & packet analysis Knowledge of:QoS, SLA tracking Redundancy & failover mechanisms<br>Experience & Qualification3–7 Years experience B. Tech / Diploma (Telecom / Networking / IT) Certifications:CCNA/CCNP (preferred) SD-WAN certification (added advantage)<br>Key KPIsMTTR reduction RCA quality & timeliness High severity incident resolution Repeat issue reduction Change success rate Vendor coordination TAT<br>C. Common Competencies (L1 & L2) Strong understanding of:NOC / Service Assurance processes Incident / Problem / Change management Tools:Service Now / Remedy / Jira Monitoring tools (NMS/EMS) Soft Skills:Communication (customer & internal) Stakeholder management Ability to work in 24x7 shifts.<br>Application Deadline: 20-Sep-2026<br>Privacy Note:https://www.tcs.com/connect-with-tcs/privacy-policy
قطر - الدوحة
Job Title – Data Network L2 Engineer / MPLS / SD-WAN Specialist Company – TCS (MEA) Location – Doha, Qatar Job type – Full time<br>About Us:Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.<br>Job Description:<br> Key Responsibilities1. Advanced Troubleshooting & Fault Isolation Diagnose complex issues related to:MPLS L3VPN / L2VPN failures Routing issues (BGP, OSPF, Static routes) SD-WAN overlay/underlay instability Latency, jitter, packet loss Perform deep analysis using CLI, logs, and monitoring tools<br>2. Incident Resolution & Service Restoration Own P1/P2 incidents escalated by L1Restore services within MTTR targets Troubleshoot:PE/CE connectivity issues VRF routing problems Tunnel failures (IPSec/SD-WAN) QoS-related degradation<br>3. Routing & Protocol Analysis Hands-on experience in:BGP (peering, route propagation issues) OSPF (neighbourship, LSDB issues) MPLS labels & forwarding Identify routing loops, flaps, asymmetry<br>4. SD-WAN Operations Troubleshoot SD-WAN solutions (Viptela, Meraki, Fortinet etc.) Validate:Edge device status Control connections Overlay tunnels Policy/config issues<br>5. Root Cause Analysis (RCA) Perform detailed RCA for major incidents Identify root causes:Config issues Hardware/software fault ISP/backhaul issues Policy misconfigurations Provide Corrective & Preventive Actions (CAPA)<br>6. Change & Implementation Support Validate and support:Network changes Config modifications Routing updates Device upgrades Ensure impact assessment and rollback readiness<br>7. Vendor & Stakeholder Management Coordinate with:OEMs (Cisco, Juniper, Fortinet, etc.) ISPs / carrier providers Manage vendor escalations and TAC cases<br>8. Performance & Stability Improvement Analyze recurring incidents Drive network optimization Recommend improvements for:Routing stability Bandwidth optimization SD-WAN policy tuning<br>9. L1 Support & Governance Guide L1 team on troubleshooting Improve SOPs and knowledge base Ensure quality checks on ticket handling<br>Required Technical Skills Strong expertise in:MPLS (L2/L3 VPN) Routing protocols – BGP, OSPFTCP/IP stack SD-WAN architecture (Viptela/Meraki/Fortinet) Hands-on in:CLI troubleshooting Network logs & packet analysis Knowledge of:QoS, SLA tracking Redundancy & failover mechanisms<br>Experience & Qualification3–7 Years experience B. Tech / Diploma (Telecom / Networking / IT) Certifications:CCNA/CCNP (preferred) SD-WAN certification (added advantage)<br>Key KPIsMTTR reduction RCA quality & timeliness High severity incident resolution Repeat issue reduction Change success rate Vendor coordination TAT<br>C. Common Competencies (L1 & L2) Strong understanding of:NOC / Service Assurance processes Incident / Problem / Change management Tools:Service Now / Remedy / Jira Monitoring tools (NMS/EMS) Soft Skills:Communication (customer & internal) Stakeholder management Ability to work in 24x7 shifts.<br>Application Deadline: 20-Sep-2026<br>Privacy Note:https://www.tcs.com/connect-with-tcs/privacy-policy
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قطر - الدوحة
We need native Arabic-Qatar (Gulf) speakers for a speech recording project. Your recordings help train AI speech recognition systems.<br><br>The work is straightforward. Read and record 500 short Arabic sentences using the Appen Mobile app. One session takes 1–2 hours.<br><br>You're paid when you finish, provided at least 90% of your recordings pass our quality review.<br><br>Requirements<br><br> Native Arabic (Gulf) speaker in Qatar Age 18 or older Smartphone compatible with the Appen Mobile app Ability to follow recording guidelines<br><br>Demographic quotas apply. Task slots depend on region capacity. We'll contact you if slots open later.<br><br>If selected, you'll get an email from Crowd Gen to set up your account and begin the project.<br><br>#crowdgen<br><br>$40 - $40 one-time
قطر - الدوحة
We need native Arabic-Qatar (Gulf) speakers for a speech recording project. Your recordings help train AI speech recognition systems.<br><br>The work is straightforward. Read and record 500 short Arabic sentences using the Appen Mobile app. One session takes 1–2 hours.<br><br>You're paid when you finish, provided at least 90% of your recordings pass our quality review.<br><br>Requirements<br><br> Native Arabic (Gulf) speaker in Qatar. Please make sure that GULF ARABIC language is listed in your Language Skills list before applying to the project Age 18 or older Smartphone compatible with the Appen Mobile app Ability to follow recording guidelines<br><br>Demographic quotas apply. Task slots depend on region capacity. We'll contact you if slots open later.<br><br>If selected, you'll get an email from Crowd Gen to set up your account and begin the project.<br><br>#crowdgen<br><br>$50 - $50 one-time