Machine operator Jobs
1755 Jobs Found
Job Location:<br><br>Souq Waqif Boutique Hotel By Tivoli<br><br>Overview<br><br>Minor Hotels is an international hotel owner, operator and investor, currently with a diverse portfolio of over 530 properties designed intelligently to appeal to a variety of travellers, serving new passions as well as personal needs. Through our Anantara, Avani, Elewana, Oaks, NH Hotels, NH Collection, nhow and TIVOLI properties, Minor Hotels operates in 50+ countries across Asia Pacific, the Middle East, Africa, the Indian Ocean, Europe and South America.<br><br>Like all members of the kitchen team, the Commis Chef must maintain high standards of health and safety, including personal hygiene. You will be responsible for producing the most creative and excellent dishes, ensuring that the guests expectations are exceeded and fully satisfied. The person in this position must be able to effectively communicate with other members of the kitchen team, this includes being able to gracefully receive constructive criticism as well as effectively carry out orders. Additionally, a Commis Chef also needs to be able to remain calm while multi-tasking, as they are often called upon to carry out many different orders simultaneously in a brief amount of time. The Commis Chef is a part of the kitchen team, and as such must be able and willing to perform the basic tasks of food preparation and organization in the kitchen. This ability to create excellence in your own area of responsibility and to support others as they do the same is vital to the successful operation of the kitchen and to ensure the enjoyment of guests.<br><br>Qualifications<br><br> High School degree Previous experience in a Food & Beverage/Restaurant operations role Passion for teamwork Excellent guest service skills Knowledge of basic preparation, presentation and preservation of food Basic knowledge of hygiene and safety procedures<br><br>Not the right fit? Set up email alerts as new job postings become available that meet your interest!
Job Location:<br><br>Banana Island Resort Doha By Anantara<br><br>Overview<br><br>Minor Hotels is an international hotel owner, operator and investor, currently with a diverse portfolio of over 530 properties designed intelligently to appeal to a variety of travellers, serving new passions as well as personal needs. Through our Anantara, Avani, Elewana, Oaks, NH Hotels, NH Collection, nhow and TIVOLI properties, Minor Hotels operates in 50+ countries across Asia Pacific, the Middle East, Africa, the Indian Ocean, Europe and South America.<br><br>As an Adventure Park Specialist, you are in constant contact with guests and participants on a daily basis, at this level one can introduce and instruct clients on use of safety equipment as well as a variety of other tasks in Adventure Parks such as supporting rescues. You'd teach guest’s new skills so they can safely enjoy outdoor adventure park sports and activities such as climbing wall, rope courses, zip line.<br><br>Job duties of the Adventure Park Specialist includes working outdoors, and day-to-day aspects of the job and ensuring satisfactory customer service and safety.<br><br> Safe fitting of harnesses Safety briefings and instructions Constant supervision of clients on the courses Checking safety devices are attached Clients using courses as instructed Providing brief assistance where appropriate Client retrievals from the course using ladders and technical climbing equipment Park maintenance: Painting safety cables, tightening platforms or adjusting activities Pruning or landscaping Basic gear maintenance<br><br>Qualifications<br><br>Must have a minimum of 2 years’ experience and expertise as an Adventure Park Specialist With rope course or Zip line experience and not afraid of heights Passionate about the adventure park activities Enjoys interacting and working with people Has basic experience in rock climbing or ropes (not essential) High School Diploma or equivalent required Must possess a current internationally recognized First Aid/CPR Certification<br><br>Not the right fit? Set up email alerts as new job postings become available that meet your interest!
Job Location:<br><br>Souq Waqif Boutique Hotel By Tivoli<br><br>Overview<br><br>Minor Hotels is an international hotel owner, operator and investor, currently with a diverse portfolio of over 530 properties designed intelligently to appeal to a variety of travellers, serving new passions as well as personal needs. Through our Anantara, Avani, Elewana, Oaks, NH Hotels, NH Collection, nhow and TIVOLI properties, Minor Hotels operates in 50+ countries across Asia Pacific, the Middle East, Africa, the Indian Ocean, Europe and South America.<br><br>Like all members of the kitchen team, the Commis Chef must maintain high standards of health and safety, including personal hygiene. You will be responsible for producing the most creative and excellent dishes, ensuring that the guests expectations are exceeded and fully satisfied. The person in this position must be able to effectively communicate with other members of the kitchen team, this includes being able to gracefully receive constructive criticism as well as effectively carry out orders. Additionally, a Commis Chef also needs to be able to remain calm while multi-tasking, as they are often called upon to carry out many different orders simultaneously in a brief amount of time. The Commis Chef is a part of the kitchen team, and as such must be able and willing to perform the basic tasks of food preparation and organization in the kitchen. This ability to create excellence in your own area of responsibility and to support others as they do the same is vital to the successful operation of the kitchen and to ensure the enjoyment of guests.<br><br>Qualifications<br><br> High School degree Previous experience in a Food & Beverage/Restaurant operations role Passion for teamwork Excellent guest service skills Knowledge of basic preparation, presentation and preservation of food Basic knowledge of hygiene and safety procedures<br><br>Not the right fit? Set up email alerts as new job postings become available that meet your interest!
The Equipment Readiness Technician is responsible for ensuring equipment is delivered on time and according to operational demands. The Equipment Readiness Technician improves the reliability of Division equipment assets and increases the utilization and efficiency of assets. This person reduces the cost of service delivery (CoSD).<br><br>Assist the Equipment Readiness Lead and Engineer with equipment preparation for jobs. Execute work orders (WOs) as assigned, generally involving noninvasive maintenance related to final preparation of surface and downhole equipment and ready boxes. Verify the status of equipment certifications and calibrations. Perform or assist in final function testing such as calibration, inspection, certification or verification, which may include Wireline Operational Combination Check, pressure test, measurement calibration, metrological inspection. Execute WOs as assigned through the Computerized Maintenance Management System for the Division, ensuring compliance with standard work and WO data accuracy and completeness. Help prepare and organize required documentation related to such activities as calibrations, function tests, material certifications, inspections and, if necessary, third-party quality control and inspections. Prepare equipment and associated critical spares for shipment and staging to a pre-determined location or loading zone. Load equipment onto trucks in the absence of base or operational planning support, or the Equipment Readiness Operator or Technician. Adopt a continuous improvement work ethic and participate in initiatives to improve efficiency and productivity in equipment readiness, CoSD, and asset utilization through maintenance processes. Comply with Division Technology Lifecycle Management standards and the Competency Management System.2-5 years of experience in the workshop Diploma in Mechanical Engineering or related discipline Strong communication, planning , and problem-solving skills<br><br>SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, national origin, age, disability, or other characteristics protected by law.
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Drive advanced analytics, predictive modeling, and machine learning initiatives to support business and operational decisions.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Master s or PhD in Data Science, AI, or related field</li><li>10 13+ years in advanced analytics</li><li>Strong programming (Python, AI/ML frameworks)</li></ul><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Under general supervision, leads a crew in providing the least complex slickline services in a geographic area. Is accountable for onsite customer satisfaction. Consults with customers concerning products and services, promotes good customer relations at the well site, and insures customer satisfaction. Reviews the job design and confirms that the job packet includes the proper equipment and processes to achieve the job purpose. Confirms that unit, WPCE and downhole tools are ready, complete and correct for the job. Performs all aspects of the job in compliance with HMS processes. Applies technical knowledge to solve unanticipated situations, and consults with HES operations base as needed. Performs onsite emergency unit/equipment maintenance as needed. Demonstrates knowledge of pre and post-job product and service activities (employee&aposs ongoing participation in these pre and post-job processes will vary by location). Properly maintains assigned equipment and ensures compliance with safety regulations and procedures. Interacts with third parties whose activities could negatively impact slickline job execution process to assure proper coordination. Trains service operators and operator assistants in areas of expertise. Promotes safety awareness and environmental consciousness, and complies with all applicable health, safety and environmental procedures and regulations. Conducts and documents all Halliburton HSE related activities at the well site - site assessments and risk analyses, onsite safety meetings, PPE use, etc. Completes all well site and post-job paperwork. Participates in post-job review with his/her supervisor. Promotes and takes an active part in the quality improvement process. Recognizes possible sales opportunities for additional HES products and services and communicates them to appropriate HES personnel. Develops his/her knowledge and skills to be able to run more complex, and/or a broader range of, HES offerings. Develops customer service, negotiation and leadership skills.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>High School/Secondary</p><p></p></section>
<ul><li><p>Represent COMPANY onboard DSV/CLV during offshore execution and report to PMT.</p></li><li><p>Interface daily with EPC Offshore Construction Manager and offshore crew.</p></li><li><p>Ensure compliance with Company procedures, specifications, and risk controls.</p></li><li><p>Close FRA, HAZID/HIRA, and safety actions before critical activities.</p></li><li><p>Coordinate SIMOPS and PTW activities near Company assets.</p></li><li><p>Oversee marine operations and verify vessel compliance with Company requirements.</p></li><li><p>Coordinate with project teams to resolve offshore execution issues.</p></li><li><p>Demonstrate leadership, teamwork, and proactive decision-making.</p></li><li><p>Support timely and cost-effective offshore execution.</p></li><li><p>Act as Area Operator and issue ePTW as per procedure.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>High School graduate with recognized offshore training certifications.</p></li><li><p>OPITO H2S and T-BOSIET certified.</p></li><li><p>IMCA Dive Supervisor certified.</p></li><li><p>15+ years offshore installation experience on DSVs.</p></li><li><p>5+ years’ experience as Offshore Construction Manager, CSR, or DSV Superintendent.</p></li><li><p>5+ years’ experience as diver or dive supervisor (air/saturation).</p></li><li><p>Familiarity with QELNG PTW systems preferred.</p></li><li><p>Strong knowledge of offshore installation and subsea execution methods.</p></li><li><p>Proven leadership experience onboard DSVs.</p></li><li><p>Knowledge of lifting, rigging, and safety standards.</p></li></ul><p><br></p>
<p>As a crane operator, you perform various lifting operations using one of our assembly cranes. You will lift, position and place machinery, equipment or other large objects at construction sites and industrial facilities. You will inspect the cranes daily and determine if any parts are malfunctioning. You are responsible for the correct and safe execution of the work. You always collaborate and maintain constant communication with the site manager, foreman, rigger, and other involved parties.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>A Qatar Driving License is mandatory (expired or valid).</li><li>You are proficient in the English language, with solid skills in writing and reading.</li><li>You have broad expertise in the operation and application of equipment and lifting gear.</li><li>You have a minimum of 5 years of work experience in GCC countries (with experience certificates and GCC driving license)</li><li>Crawler & Mobile Crane Experience is a must</li><li>Preferably experience on all terrain cranes above 100 tons with Liebherr/Grove / Demag or Tadano</li><li>Experience on crawler cranes preferred 200 tons with Hitachi Sumitomo/ Terex / Demag /Tadano</li></ul>
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<strong>Primary Purpose of the Job</strong><br><p>QP Refinery is a major contributor and supplier of petroleum products. Operator-I is responsible for safe and efficient field operation. Nature of job is to work in the field that involves activities dealing with hot hydrocarbons, high noise area, toxic gases, high temperatures, and pressures, and sever weather conditions. High level of alertness is required to perform the job. High level of understanding of refinery complexity and Refinery and Chemical Plant technology is required.<br>The incumbent is required to work in rotating shifts; required to work extended hours as per work requirement.</p><br> <br><strong>Required Experience and Skills</strong><br><p>•<br>7 Years of operations experience in a Refinery / Chemical Plant with 3 years in the specific unit<br>•<br>TPP or equivalent<br>•<br>Good working knowledge of relevant process units.<br>•<br>Good knowledge in basic calculations.<br>•<br>Good surveillance, vigilance and control in Operations.<br>•<br>Follows Refinery policies and procedures in line with Company’s mission.<br>•<br>Good working knowledge of English.<br>•<br>Undergone HSE related trainings.</p><br> <br><strong>Educational Qualifications</strong><br><p>Higher Secondary Certificate or Equivalent.</p><br> </div>
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<p><b>We Are</b></p><br><br><p>Our AI & Data team helps clients transform business challenges into opportunities through advanced analytics, AI, and intelligent decision-making. We work across industries to design and deliver practical analytical solutions.</p><br><br><br><p><b>The Work</b></p><br><br><p>As an AI Decision Science Consultant, you will work with clients to develop analytical solutions, generate insights, and support AI-driven transformation initiatives.</p><br><br><ul><li>Conducting data analysis and statistical modeling</li><li>Building predictive and analytical solutions</li><li>Supporting machine learning use cases and AI initiatives</li><li>Creating dashboards, reports, and decision-support tools</li><li>Gathering and documenting client requirements</li><li>Presenting findings and recommendations to stakeholders</li><li>Collaborating with multidisciplinary consulting teams</li></ul><br> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Role Overview: Drive advanced analytics, predictive modeling, and machine learning initiatives to support business and operational decisions. Key Responsibilities: Develop predictive and statistical models Identify trends, anomalies, and optimization opportunities Translate data insights into actionable strategies Support deployment of analytics solutions Requirements: Master s or PhD in Data Science, AI, or related field 10 13+ years in advanced analytics Strong programming (Python, AI/ML frameworks)</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Master s or PhD in Data Science, AI, or related field 10 13+ years in advanced analytics Strong programming (Python, AI/ML frameworks)</p><p></p></section>
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<span><u><b>Job Summary</b></u>
<br></span><p>The AI Sales Manager is a results-driven commercial leader responsible for driving revenue growth across PowerMind’s comprehensive portfolio of AI solutions, including high-performance AI compute hardware, cloud infrastructure, AI software platforms, custom machine learning integrations, and digital transformation solutions. This role is responsible for executing the commercial strategy, building and managing high-value relationships with enterprise and public sector clients, and leading a high-performing sales team. The AI Sales Manager bridges commercial opportunities with technical execution, collaborating closely with pre-sales and engineering teams to formulate and close complex, high-impact deals.</p><br><br><br><u><b>Job Responsibilities 1</b></u>
<br><p>Lead, mentor, and manage the commercial sales team to achieve and exceed regional and company-wide sales targets.</p><br>
<p>Develop and execute comprehensive sales strategies for PowerMind's end-to-end AI portfolio (covering AI compute infrastructure, cloud resources, enterprise AI software, Agentic Solutions and integrated custom solutions).</p><br>
<p>Identify, qualify, and close high-value business opportunities in enterprise, industrial, and government sectors.</p><br>
<p>Build and maintain deep, long-lasting strategic relationships with C-suite executives, IT decision-makers, and business stakeholders.</p><br>
<p>Act as a consultative advisor to clients, mapping their complex business challenges to tailored PowerMind hardware, software, or custom AI solutions.</p><br>
<p>Collaborate closely with pre-sales, solutions architects, and engineering teams to scope client projects, draft proposals, and construct winning solution architectures.</p><br>
<p>Provide accurate and timely sales forecasts, pipeline analysis, and market trend reports to the senior leadership team.</p><br>
<p>Analyze market trends, competitor portfolios, and technological shifts to identify new business opportunities and advise on pricing/positioning.</p><br>
<p>Foster and leverage relationships with tier-1 technology vendors, distributors, and cloud partners to expand market reach and enhance solution value.</p><br><br><br><u><b>Job Responsibilities 2</b></u>
<br><br><b>Additional Responsibilities 3</b>
<br><br><u><b>Job Knowledge & Skills</b></u>
<br><p>Broad and strong understanding of AI, machine learning, cloud environments, GPU/HPC hardware, big data, and system integrations.</p><br>
<p>Excellent consultative selling skills with the ability to translate technical specifications into measurable business ROI for clients.</p><br>
<p>Strong leadership, talent development, and team-building capabilities.</p><br>
<p>Exceptional communication, negotiation, and executive presentation skills.</p><br><br><br><u><b>Job Experience</b></u>
<br><p>6+ years of experience in B2B technical sales, cloud sales, or software/solution sales management, with a proven track record of exceeding revenue quotas.</p><br>
<p>At least 2 years in a leadership or team management capacity, coaching sales representatives to success.</p><br>
<p>Demonstrated experience selling complex, multi-stakeholder enterprise deals involving cloud infrastructure (SaaS/PaaS/IaaS), high-performance computing (HPC) hardware, or AI/ML solutions.</p><br><br><br><u><b>Competencies</b></u>
<br>Agility<br>AI Fluency<br>Artificial Intelligence/Machine Learning L4<br>Build High-Performing Teams<br>Client Management L4<br>Commercial Evaluation & Negotiation Support L4<br>Customer Relationship Management L4<br>Leadership<br>Provide Direction<br>Quality<br>Resilience<br>Sales Strategies L4<br><br><br><u><b>Education</b></u>
<br>Bachelor's Degree in Engineering or COMPUTER RELATED FIELD<br>Master's degree in Marketing or Business Administration<br><br><br><br>
</div>
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.
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.
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.
Additional Information<br><br>Job Number 26103480<br><br>Job Category Housekeeping & Laundry<br><br>Location Building No. 153 Street No. 347, Lusail, Qatar, Qatar,VIEW ON MAP<br><br>Schedule Full Time<br><br>Located Remotely? N<br><br>Position Type Non-Management<br><br>Position Summary<br><br>Operate and monitor washing, dry cleaning, and drying machinery, including adding chemicals and cleaning lint traps. Identify stained or damaged items and determine status for repair, spot treatment, rewash, or discard. Inspect cleanliness of articles removed from the washer, dryer, or dry-cleaning machines and place in clean linen carts. Set dryers to designated times and temperatures based on fabrics contained in load. Remove lint and debris from dryer screens, dry cleaning filters, and drain trap after each load. Fold cleaned articles into designated size, either by hand or using folding machine. Maintain accurate records of items laundered.<br><br>Follow all company safety and security policies and procedures; report accidents, injuries, and unsafe work conditions to manager; complete safety training and certifications. Follow all company policies and procedures; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets. Develop and maintain positive working relationships with others; support team to reach common goals; listen and respond appropriately to the concerns of other employees. Ensure adherence to quality expectations and standards; identify, recommend, develop, and implement new ways to increase organizational efficiency, productivity, quality, safety, and/or cost-savings. Visually inspect tools, equipment, or machines (e.g., to identify defects). Stand, sit, or walk for an extended period of time or for an entire work shift. Move, lift, carry, push, pull, and place objects weighing less than or equal to 25 pounds without assistance. Move through narrow, confined, or elevated spaces. Move over sloping, uneven, or slippery surfaces as well as up and down stairs and/or service ramps. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Perform other reasonable job duties as requested by Supervisors.<br><br>Preferred Qualifications<br><br>Education: No high school diploma or G. E. D. equivalent.<br><br>Related Work Experience: No related work experience.<br><br>Supervisory Experience: No supervisory experience.<br><br>License or Certification: None<br><br>At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law. <br><br>At Le Méridien, we are inspired by the era of glamorous travel, celebrating each culture through the distinctly European spirit of savouring the good life. Our guests are curious and creative, cosmopolitan culture seekers that appreciate moments of connection and slowing down to savour the destination. We provide authentic, chic and memorable service along with experiences that inspire guests to savour the good life. We’re looking for curious and creative people to join our team. If you appreciate connecting with like-minded guests and have a deep desire to create memorable experiences, we invite you to explore career opportunities with Le Méridien. In joining Le Méridien, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you.
Additional Information<br><br>Job Number 26093199<br><br>Job Category Housekeeping & Laundry<br><br>Location The Pearl Island, Doha, Qatar, Qatar, 14875VIEW ON MAP<br><br>Schedule Full Time<br><br>Located Remotely? N<br><br>Position Type Non-Management<br><br>Position Summary<br><br>Operate and monitor washing, dry cleaning, and drying machinery, including adding chemicals and cleaning lint traps. Identify stained or damaged items and determine status for repair, spot treatment, rewash, or discard. Inspect cleanliness of articles removed from the washer, dryer, or dry-cleaning machines and place in clean linen carts. Set dryers to designated times and temperatures based on fabrics contained in load. Remove lint and debris from dryer screens, dry cleaning filters, and drain trap after each load. Fold cleaned articles into designated size, either by hand or using folding machine. Maintain accurate records of items laundered.<br><br>Follow all company safety and security policies and procedures; report accidents, injuries, and unsafe work conditions to manager; complete safety training and certifications. Follow all company policies and procedures; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets. Develop and maintain positive working relationships with others; support team to reach common goals; listen and respond appropriately to the concerns of other employees. Ensure adherence to quality expectations and standards; identify, recommend, develop, and implement new ways to increase organizational efficiency, productivity, quality, safety, and/or cost-savings. Visually inspect tools, equipment, or machines (e.g., to identify defects). Stand, sit, or walk for an extended period of time or for an entire work shift. Move, lift, carry, push, pull, and place objects weighing less than or equal to 25 pounds without assistance. Move through narrow, confined, or elevated spaces. Move over sloping, uneven, or slippery surfaces as well as up and down stairs and/or service ramps. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Perform other reasonable job duties as requested by Supervisors.<br><br>Preferred Qualifications<br><br>Education: No high school diploma or G. E. D. equivalent.<br><br>Related Work Experience: No related work experience.<br><br>Supervisory Experience: No supervisory experience.<br><br>License or Certification: None<br><br>At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law. <br><br>시대를 초월한 화려함과 선구적인 정신을 결합한 세인트레지스 호텔 & 리조트는 전 세계 최고의 장소에 위치한 50개 이상의 고급 호텔 및 리조트에서 고객에게 특별한 경험을 제공하기 위해 최선을 다하고 있습니다. 세인트레지스 호텔은 20세기 초에 존 제이콥 애스터 4세(John Jacob Astor IV)가 뉴욕에 1호점을 오픈한 것을 시작으로 고전적인 세련미와 현대적인 감성을 결합한 우아한 호스트 팀에 의해 시그니처 버틀러 서비스는 물론, 모든 고객에게 한치의 양보도 없는 한 발 앞선 맞춤형 서비스를 완벽히 제공하는 것에 전념해 왔습니다. 세인트레지스 호텔 & 리조트는 채용 기회에 여러분을 초대합니다. 세인트레지스에 입사하면 메리어트 인터내셔널의 브랜드 포트폴리오에 합류하게 됩니다. 최선 을 다해 일하고, 목표를 향해 달리며, 훌륭한 글로벌 팀의 일원 으로 최고의 나를 만들고 싶다면 세인트레지스 호텔 & 리조트의 문을 두드리세요.
Additional Information<br><br>Job Number 26093199<br><br>Job Category Housekeeping & Laundry<br><br>Location The Pearl Island, Doha, Qatar, Qatar, 14875VIEW ON MAP<br><br>Schedule Full Time<br><br>Located Remotely? N<br><br>Position Type Non-Management<br><br>Position Summary<br><br>Operate and monitor washing, dry cleaning, and drying machinery, including adding chemicals and cleaning lint traps. Identify stained or damaged items and determine status for repair, spot treatment, rewash, or discard. Inspect cleanliness of articles removed from the washer, dryer, or dry-cleaning machines and place in clean linen carts. Set dryers to designated times and temperatures based on fabrics contained in load. Remove lint and debris from dryer screens, dry cleaning filters, and drain trap after each load. Fold cleaned articles into designated size, either by hand or using folding machine. Maintain accurate records of items laundered.<br><br>Follow all company safety and security policies and procedures; report accidents, injuries, and unsafe work conditions to manager; complete safety training and certifications. Follow all company policies and procedures; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets. Develop and maintain positive working relationships with others; support team to reach common goals; listen and respond appropriately to the concerns of other employees. Ensure adherence to quality expectations and standards; identify, recommend, develop, and implement new ways to increase organizational efficiency, productivity, quality, safety, and/or cost-savings. Visually inspect tools, equipment, or machines (e.g., to identify defects). Stand, sit, or walk for an extended period of time or for an entire work shift. Move, lift, carry, push, pull, and place objects weighing less than or equal to 25 pounds without assistance. Move through narrow, confined, or elevated spaces. Move over sloping, uneven, or slippery surfaces as well as up and down stairs and/or service ramps. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Perform other reasonable job duties as requested by Supervisors.<br><br>Preferred Qualifications<br><br>Education: No high school diploma or G. E. D. equivalent.<br><br>Related Work Experience: No related work experience.<br><br>Supervisory Experience: No supervisory experience.<br><br>License or Certification: None<br><br>At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law. <br><br>Бренд St. Regis Hotels & Resorts сочетает классическую роскошь с авангардным духом и предлагает уникальное качество обслуживания для гостей более чем 50 отелей и курортов класса люкс, расположенных в самых популярных уголках мира. Наш бренд, история которого началась на заре 20-го века с открытия Джоном Джейкобом Астором IV отеля St. Regis в Нью-Йорке, по-прежнему стремится предоставлять на самом высоком уровне уникальные услуги, предвосхищающие пожелания гостей. За выполнение этой задачи у нас отвечает коллектив опытных сотрудников, которые проявляют в работе классический продуманный подход и понимание проблем на современном уровне. Также к услугам гостей наша фирменная служба дворецких. Предлагаем вам ознакомиться с открытыми вакансиями в St. Regis. Выбрав работу в St. Regis, вы станете частью коллектива одного из брендов Marriott International. Делайте то, что у вас получается лучше всего, начните движение к своей цели, присоединитесь к удивительной глобальной команде и измените свою жизнь к лучшему.
Additional Information<br><br>Job Number 26093199<br><br>Job Category Housekeeping & Laundry<br><br>Location The Pearl Island, Doha, Qatar, Qatar, 14875VIEW ON MAP<br><br>Schedule Full Time<br><br>Located Remotely? N<br><br>Position Type Non-Management<br><br>Position Summary<br><br>Operate and monitor washing, dry cleaning, and drying machinery, including adding chemicals and cleaning lint traps. Identify stained or damaged items and determine status for repair, spot treatment, rewash, or discard. Inspect cleanliness of articles removed from the washer, dryer, or dry-cleaning machines and place in clean linen carts. Set dryers to designated times and temperatures based on fabrics contained in load. Remove lint and debris from dryer screens, dry cleaning filters, and drain trap after each load. Fold cleaned articles into designated size, either by hand or using folding machine. Maintain accurate records of items laundered.<br><br>Follow all company safety and security policies and procedures; report accidents, injuries, and unsafe work conditions to manager; complete safety training and certifications. Follow all company policies and procedures; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets. Develop and maintain positive working relationships with others; support team to reach common goals; listen and respond appropriately to the concerns of other employees. Ensure adherence to quality expectations and standards; identify, recommend, develop, and implement new ways to increase organizational efficiency, productivity, quality, safety, and/or cost-savings. Visually inspect tools, equipment, or machines (e.g., to identify defects). Stand, sit, or walk for an extended period of time or for an entire work shift. Move, lift, carry, push, pull, and place objects weighing less than or equal to 25 pounds without assistance. Move through narrow, confined, or elevated spaces. Move over sloping, uneven, or slippery surfaces as well as up and down stairs and/or service ramps. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Perform other reasonable job duties as requested by Supervisors.<br><br>Preferred Qualifications<br><br>Education: No high school diploma or G. E. D. equivalent.<br><br>Related Work Experience: No related work experience.<br><br>Supervisory Experience: No supervisory experience.<br><br>License or Certification: None<br><br>At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law. <br><br>تجمع فنادق ومنتجعات السانت ريجيس بين السحر الخالد والروح الطليعية، وتلتزم بتقديم تجارب رائعة في أكثر من 50 فندقًا ومنتجعًا فاخرًا في أفضل العناوين حول العالم. بدءًا من افتتاح فندق السانت ريجيس في نيويورك على يد جون جاكوب أستور الرابع في فجر القرن العشرين، ظلت العلامة التجارية ملتزمة بمستوى لا هوادة فيه من الخدمة المخصصة والاستباقية لجميع ضيوفها، والتي يقدمها بشكل لا تشوبه شائبة فريق من المضيفين الكرماء الذين يجمعون بين الرقي الكلاسيكي والحساسية العصرية، بالإضافة إلى خدمة الخادم الشخصي المميزة لدينا. ندعوك لاستكشاف الوظائف في السانت ريجيس. عند الانضمام إلى السانت ريجيس، فإنك تنضم إلى مجموعة من العلامات التجارية مع ماريوت الدولية. كن في المكان الذي يمكنك فيه القيام بأفضل أعمالك، وابدأ هدفك ، وانتمي إلى فريق عالمي مذهل ، لتصبح أفضل نسخة منك.
Additional Information<br><br>Job Number 26093199<br><br>Job Category Housekeeping & Laundry<br><br>Location The Pearl Island, Doha, Qatar, Qatar, 14875VIEW ON MAP<br><br>Schedule Full Time<br><br>Located Remotely? N<br><br>Position Type Non-Management<br><br>Position Summary<br><br>Operate and monitor washing, dry cleaning, and drying machinery, including adding chemicals and cleaning lint traps. Identify stained or damaged items and determine status for repair, spot treatment, rewash, or discard. Inspect cleanliness of articles removed from the washer, dryer, or dry-cleaning machines and place in clean linen carts. Set dryers to designated times and temperatures based on fabrics contained in load. Remove lint and debris from dryer screens, dry cleaning filters, and drain trap after each load. Fold cleaned articles into designated size, either by hand or using folding machine. Maintain accurate records of items laundered.<br><br>Follow all company safety and security policies and procedures; report accidents, injuries, and unsafe work conditions to manager; complete safety training and certifications. Follow all company policies and procedures; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets. Develop and maintain positive working relationships with others; support team to reach common goals; listen and respond appropriately to the concerns of other employees. Ensure adherence to quality expectations and standards; identify, recommend, develop, and implement new ways to increase organizational efficiency, productivity, quality, safety, and/or cost-savings. Visually inspect tools, equipment, or machines (e.g., to identify defects). Stand, sit, or walk for an extended period of time or for an entire work shift. Move, lift, carry, push, pull, and place objects weighing less than or equal to 25 pounds without assistance. Move through narrow, confined, or elevated spaces. Move over sloping, uneven, or slippery surfaces as well as up and down stairs and/or service ramps. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Perform other reasonable job duties as requested by Supervisors.<br><br>Preferred Qualifications<br><br>Education: No high school diploma or G. E. D. equivalent.<br><br>Related Work Experience: No related work experience.<br><br>Supervisory Experience: No supervisory experience.<br><br>License or Certification: None<br><br>At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law. <br><br>Łącząc ponadczasowe piękno z awangardową atmosferą, St. Regis Hotels & Resorts zobowiązuje się do zapewnienia wyszukanych doświadczeń w ponad 50 luksusowych hotelach i kurortach w najlepszych lokalizacjach na całym świecie. Od otwarcia pierwszego hotelu The St. Regis w Nowym Jorku przez Johna Jacoba Astora IV na początku XX wieku marka pozostaje wierna pierwotnej idei. Pragniemy dostarczać wszystkim gościom bezkompromisowego poziomu usług, które łączą tradycyjne wyrafinowanie z nowoczesną wrażliwością i są bezbłędnie świadczone przez zespół życzliwych gospodarzy, a także w ramach naszej charakterystycznej usługi Butler Service. Zapraszamy do zapoznania się z ofertami pracy w St. Regis. Stając się częścią zespołu St. Regis, dołączasz do portfolio marek Marriott International. Bądź tam, gdzie możesz pracować najlepiej, jak potrafisz, rozpocznij realizację zamierzeń, poczuj przynależność do niesamowitej globalnej społeczności i stań się najlepszą wersją siebie.