Database Developer Jobs

Role Description The Research Analyst is responsible for conducting comprehensive research, analyzing quantitative and qualitative data, and delivering accurate, evidence-based insights that support strategic planning, business decision-making, and organizational growth. This role evaluates information from multiple sources to identify trends, opportunities, risks, and actionable recommendations across business, market, financial, or operational domains. Key responsibilities include collecting, validating, organizing, and analyzing data from industry reports, financial statements, surveys, databases, public records, academic publications, and internal systems. The role applies appropriate research methodologies to ensure data accuracy, reliability, and relevance while maintaining high standards of research integrity. The position performs quantitative and qualitative analysis, market and competitor research, trend analysis, benchmarking, forecasting, and performance evaluation to generate meaningful insights. It prepares research reports, dashboards, presentations, executive summaries, and analytical documentation that communicate findings clearly and support informed decision-making. The role collaborates with cross-functional teams including strategy, finance, marketing, operations, product, and senior management to define research objectives, support business initiatives, and provide data-driven recommendations. It also contributes to the continuous improvement of research methodologies, reporting processes, data quality standards, and analytical frameworks to enhance the effectiveness and efficiency of research activities. The position continuously monitors market conditions, industry developments, economic trends, regulatory changes, technological advancements, and competitor activities to ensure research outputs remain timely, accurate, and aligned with organizational priorities. Qualifications Strong understanding of research methodologies, quantitative and qualitative analysis, data collection techniques, statistical concepts, business analysis, and information management. Ability to conduct structured research and transform complex information into actionable insights. Proficiency in spreadsheet applications, data analysis software, business intelligence platforms, reporting tools, presentation software, and database management systems. Familiarity with statistical software, survey platforms, data visualization tools, and research databases is an advantage. Strong analytical, critical thinking, and problem-solving skills with the ability to interpret complex datasets, identify trends, evaluate business performance, and develop evidence-based recommendations. Knowledge of market research, competitor analysis, benchmarking, forecasting, survey design, literature reviews, data validation, and research reporting best practices. Excellent written and verbal communication skills with the ability to prepare professional research reports, executive summaries, presentations, and analytical documentation for technical and non-technical stakeholders. Strong organizational skills, attention to detail, intellectual curiosity, adaptability, and the ability to manage multiple research projects while maintaining accuracy, meeting deadlines, and contributing effectively in a collaborative and fast-paced environment.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Jobs at this level are responsible to ensure that Commissioning tasks assigned are properly implemented as per work standards and procedures.</p><br><br><p>DEVELOP YOUR CAREER WITH INDUSTRY LEADERS</p><br><p>NMDC Group is always looking for talented individuals to join our team. We know that our people are fundamental to our success as a business, which is why we support their career development and personal wellbeing in every way we can.</p><br><p>NMDC Group offers an environment where every employee can thrive and reach their professional potential. Nothing is more important to us than ensuring every employee feels valued and respected in their roles, and able to progress in their career through training, mentorship, and educational opportunities.</p><br><p>With a wide range of attractive employee benefits and competitive salaries, we have created a workplace defined by its culture, and made by its people. If you have a passion for EPC and marine construction and want to work on some of the region’s most exciting projects, find your next challenge with us.</p><br><br>Responsibilities:<br><ul> <li>Ability to provide detailed testing report and relevant documentation on testing completed.</li> <li>Ability to organized and perform instrument / Elrctrical commissioning activities, SAT, functional test.</li> <li>Ability to work on control system and Electrical Sy</li> <li>Familiar using instrumentation document: Control Narratives, Cause and Effect chart diagram, P&amp;ID, Loop diagrams, logic block diagram.</li> <li>Ensure that all PPE, PTW &amp; HSE requirements are adhered to when at worksite.</li> <li>Ability to prepare, write suitable and comprehensive testing procedure when required.</li> <li>Receives Project documentation and understands Scope of Work related to his discipline.</li> <li>Report to Commissioning Team Leader as per project Organization chart.</li> <li>Leads a team to undertake commissioning activities in small projects.</li> <li>Interfaces with other disciplines to ensure integration of activities.</li> <li>Implement &amp; test the subsystems as per project commissioning test sheets.</li> <li>Preparation of method statements, procedures and routines where required.</li> <li>Interface towards Pre-commissioning and Company personnel.</li> <li>Reports on work progress, bringing to notice potential problems or delays and recommends solutions.</li> <li>Assist during the database preparation for pre-commissioning status index and commissioning technical database.</li> <li>Plan, Monitor and assist in Vendor activities as required.</li> <li>Ensure temporary supplies and commissioning spares are adequate for the subsystem testing.</li> <li>Perform inter-discipline checks.</li></ul><p>Compliance in accordance with HSE Standard.</p><br><br>Qualifications:<br><p>Bachelor’s degree in&nbsp; Instrument Engineering</p><br><p>Minimum _10__ year’s relevant experience within the oil and gas industry with at least 4 years in a key role in Commissioning).</p><br> </div>

About Pulse Media NL<br><br>Pulse Media NL is a forward-thinking digital media company committed to delivering high-quality content, innovative marketing solutions, and exceptional customer experiences. We value accuracy, efficiency, collaboration, and continuous improvement. As our team grows, we are seeking a highly organized and detail-oriented Data Entry Administrator to support our daily operations by maintaining accurate and reliable data across multiple platforms.<br><br>Position Overview<br><br>The Data Entry Administrator is responsible for accurately entering, updating, verifying, and maintaining company data while ensuring the highest standards of quality and confidentiality. This role requires excellent attention to detail, strong organizational skills, and the ability to work independently in a remote environment. The successful candidate will help ensure that business records remain complete, accurate, and accessible, contributing directly to operational efficiency.<br><br>Key Responsibilities<br><br>Accurately enter data into company databases, spreadsheets, and internal management systems. Review and verify information for completeness, accuracy, and consistency before submission. Update existing records with new information while maintaining data integrity. Identify and correct errors, inconsistencies, or duplicate entries. Organize and maintain digital files, records, and documentation. Perform routine data quality checks and audits. Generate reports and summaries as requested by management. Assist with importing and exporting data between various software platforms. Maintain confidential information in accordance with company policies and applicable privacy regulations. Collaborate with internal departments to obtain missing or updated information. Prioritize tasks to meet deadlines while maintaining a high level of accuracy. Support administrative projects and perform additional data-related tasks as assigned.<br><br>Required Qualifications<br><br>High school diploma or equivalent; an associate's or bachelor's degree is an advantage. Previous experience in data entry, administrative support, or office administration preferred. Excellent typing skills with a high level of accuracy. Strong attention to detail and commitment to producing error-free work. Proficiency in Microsoft Office Suite, particularly Excel and Word. Experience using Google Workspace, including Google Sheets and Google Docs. Comfortable learning and using new software and database systems. Strong organizational and time management skills. Ability to work independently with minimal supervision. Excellent written and verbal communication skills. Reliable internet connection and a suitable remote work environment.<br><br>Preferred Qualifications<br><br>Experience with CRM or ERP software. Familiarity with database management systems. Knowledge of data privacy and information security best practices. Experience working remotely in a professional environment. Basic analytical and problem-solving skills.<br><br>Key Skills<br><br>Data entry accuracy Time management Organization Attention to detail Communication Problem-solving Computer literacy Multitasking Confidentiality Team collaboration<br><br>What We Offer<br><br>Fully remote work environment. Competitive salary. Flexible working schedule where applicable. Paid time off and company holidays. Opportunities for professional development and career growth. Supportive and collaborative team culture. Ongoing training and skill development. Performance recognition and advancement opportunities. Access to modern digital collaboration tools.<br><br>Success in This Role<br><br>The ideal candidate consistently delivers accurate work, meets deadlines, maintains confidentiality, communicates effectively with colleagues, and demonstrates a proactive approach to improving data quality and administrative processes.<br><br>Equal Opportunity Employer<br><br>Pulse Media NL is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace where all employees are treated with respect and provided equal opportunities.<br><br>If you are a detail-oriented professional who enjoys working with data and thrives in a remote environment, we encourage you to apply and become part of the Pulse Media NL team.

About Pulse Media NL<br><br>Pulse Media NL is a forward-thinking digital media company committed to delivering high-quality content, innovative marketing solutions, and exceptional customer experiences. We value accuracy, efficiency, collaboration, and continuous improvement. As our team grows, we are seeking a highly organized and detail-oriented Data Entry Administrator to support our daily operations by maintaining accurate and reliable data across multiple platforms.<br><br>Position Overview<br><br>The Data Entry Administrator is responsible for accurately entering, updating, verifying, and maintaining company data while ensuring the highest standards of quality and confidentiality. This role requires excellent attention to detail, strong organizational skills, and the ability to work independently in a remote environment. The successful candidate will help ensure that business records remain complete, accurate, and accessible, contributing directly to operational efficiency.<br><br>Key Responsibilities<br><br>Accurately enter data into company databases, spreadsheets, and internal management systems. Review and verify information for completeness, accuracy, and consistency before submission. Update existing records with new information while maintaining data integrity. Identify and correct errors, inconsistencies, or duplicate entries. Organize and maintain digital files, records, and documentation. Perform routine data quality checks and audits. Generate reports and summaries as requested by management. Assist with importing and exporting data between various software platforms. Maintain confidential information in accordance with company policies and applicable privacy regulations. Collaborate with internal departments to obtain missing or updated information. Prioritize tasks to meet deadlines while maintaining a high level of accuracy. Support administrative projects and perform additional data-related tasks as assigned.<br><br>Required Qualifications<br><br>High school diploma or equivalent; an associate's or bachelor's degree is an advantage. Previous experience in data entry, administrative support, or office administration preferred. Excellent typing skills with a high level of accuracy. Strong attention to detail and commitment to producing error-free work. Proficiency in Microsoft Office Suite, particularly Excel and Word. Experience using Google Workspace, including Google Sheets and Google Docs. Comfortable learning and using new software and database systems. Strong organizational and time management skills. Ability to work independently with minimal supervision. Excellent written and verbal communication skills. Reliable internet connection and a suitable remote work environment.<br><br>Preferred Qualifications<br><br>Experience with CRM or ERP software. Familiarity with database management systems. Knowledge of data privacy and information security best practices. Experience working remotely in a professional environment. Basic analytical and problem-solving skills.<br><br>Key Skills<br><br>Data entry accuracy Time management Organization Attention to detail Communication Problem-solving Computer literacy Multitasking Confidentiality Team collaboration<br><br>What We Offer<br><br>Fully remote work environment. Competitive salary. Flexible working schedule where applicable. Paid time off and company holidays. Opportunities for professional development and career growth. Supportive and collaborative team culture. Ongoing training and skill development. Performance recognition and advancement opportunities. Access to modern digital collaboration tools.<br><br>Success in This Role<br><br>The ideal candidate consistently delivers accurate work, meets deadlines, maintains confidentiality, communicates effectively with colleagues, and demonstrates a proactive approach to improving data quality and administrative processes.<br><br>Equal Opportunity Employer<br><br>Pulse Media NL is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace where all employees are treated with respect and provided equal opportunities.<br><br>If you are a detail-oriented professional who enjoys working with data and thrives in a remote environment, we encourage you to apply and become part of the Pulse Media NL team.

About Pulse Media NL<br><br>Pulse Media NL is a forward-thinking digital media company committed to delivering high-quality content, innovative marketing solutions, and exceptional customer experiences. We value accuracy, efficiency, collaboration, and continuous improvement. As our team grows, we are seeking a highly organized and detail-oriented Data Entry Administrator to support our daily operations by maintaining accurate and reliable data across multiple platforms.<br><br>Position Overview<br><br>The Data Entry Administrator is responsible for accurately entering, updating, verifying, and maintaining company data while ensuring the highest standards of quality and confidentiality. This role requires excellent attention to detail, strong organizational skills, and the ability to work independently in a remote environment. The successful candidate will help ensure that business records remain complete, accurate, and accessible, contributing directly to operational efficiency.<br><br>Key Responsibilities<br><br>Accurately enter data into company databases, spreadsheets, and internal management systems. Review and verify information for completeness, accuracy, and consistency before submission. Update existing records with new information while maintaining data integrity. Identify and correct errors, inconsistencies, or duplicate entries. Organize and maintain digital files, records, and documentation. Perform routine data quality checks and audits. Generate reports and summaries as requested by management. Assist with importing and exporting data between various software platforms. Maintain confidential information in accordance with company policies and applicable privacy regulations. Collaborate with internal departments to obtain missing or updated information. Prioritize tasks to meet deadlines while maintaining a high level of accuracy. Support administrative projects and perform additional data-related tasks as assigned.<br><br>Required Qualifications<br><br>High school diploma or equivalent; an associate's or bachelor's degree is an advantage. Previous experience in data entry, administrative support, or office administration preferred. Excellent typing skills with a high level of accuracy. Strong attention to detail and commitment to producing error-free work. Proficiency in Microsoft Office Suite, particularly Excel and Word. Experience using Google Workspace, including Google Sheets and Google Docs. Comfortable learning and using new software and database systems. Strong organizational and time management skills. Ability to work independently with minimal supervision. Excellent written and verbal communication skills. Reliable internet connection and a suitable remote work environment.<br><br>Preferred Qualifications<br><br>Experience with CRM or ERP software. Familiarity with database management systems. Knowledge of data privacy and information security best practices. Experience working remotely in a professional environment. Basic analytical and problem-solving skills.<br><br>Key Skills<br><br>Data entry accuracy Time management Organization Attention to detail Communication Problem-solving Computer literacy Multitasking Confidentiality Team collaboration<br><br>What We Offer<br><br>Fully remote work environment. Competitive salary. Flexible working schedule where applicable. Paid time off and company holidays. Opportunities for professional development and career growth. Supportive and collaborative team culture. Ongoing training and skill development. Performance recognition and advancement opportunities. Access to modern digital collaboration tools.<br><br>Success in This Role<br><br>The ideal candidate consistently delivers accurate work, meets deadlines, maintains confidentiality, communicates effectively with colleagues, and demonstrates a proactive approach to improving data quality and administrative processes.<br><br>Equal Opportunity Employer<br><br>Pulse Media NL is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace where all employees are treated with respect and provided equal opportunities.<br><br>If you are a detail-oriented professional who enjoys working with data and thrives in a remote environment, we encourage you to apply and become part of the Pulse Media NL team.

Community & Outreach Manager<br>Location: Dubai / Sharjah (Multi-site: Me'aisem, Wafi, DIP & Al Zahia) Reports To: Founders Employment Type: Full-Time (Includes Evenings, Weekends & Public Holidays)<br>About the Role:We are looking for an energetic, outgoing, and community-focused professional to build and grow thriving player communities across multiple padel clubs. This is a hands-on role focused on increasing off-peak court utilization by creating recurring communities rather than one-time events. The ideal candidate will be responsible for launching and managing regular player groups, driving membership growth, organizing engaging events, and ensuring players keep coming back week after week. This is a highly interactive role that requires being present on the court, engaging with players, and building lasting relationships.<br>Key Responsibilities:Community Building & Management Launch, manage, and grow 6–8 recurring player communities across multiple club locations. Create structured groups such as:Ladies' Morning Sessions Beginners' Socials Corporate Leagues Over-40s Groups Junior Programs Mixed Americano Sessions Establish each community with a dedicated day, fixed time slot, Whats App group, and consistent host presence. Personally attend and host community sessions to ensure an engaging and welcoming player experience. Foster long-term relationships with players to encourage repeat participation and community loyalty. Membership Growth & Player Acquisition Recruit new players through:Schools Residential Communities Corporate Organizations Gyms & Fitness Centers Mall Footfall Local Community Networks Convert trial participants into regular weekly members through consistent follow-ups and engagement. Maintain a well-organized player database including:Attendance Records Playing Levels Contact Information Communication & Follow-up History Events & Programming Plan and execute a monthly calendar of community activities including:Social Mixers Americano Tournaments Mini Leagues Club Tournaments Coordinate closely with coaching staff to ensure community sessions generate coaching opportunities and additional club revenue. Collaborate with the marketing team by providing player stories, event highlights, photos, and community content for promotional campaigns. Performance Reporting Prepare weekly performance reports covering:Number of Sessions Conducted Player Attendance New Player Registrations Repeat Participation Rate Revenue Generated by Each Community Monitor and report improvements in daytime and off-peak court occupancy across all club locations. Track community growth and recommend initiatives to improve engagement and retention.<br>Candidate Requirements:Minimum 2 years of experience in Community Management, Events, Sports Club Operations, Hospitality, or Membership Sales. Naturally outgoing, energetic, and confident interacting with new people and hosting groups. Strong relationship-building and communication skills. Familiarity with padel or other racket sports is highly preferred; playing experience is an added advantage. Excellent verbal and written English communication skills. Knowledge of Arabic, Spanish, or Hindi/Urdu is an advantage. Valid UAE Driving Licence with own vehicle preferred due to travel across multiple club locations. Flexible to work evenings, weekends, and public holidays. Highly organized with the ability to manage calendars, player databases, attendance records, and multiple Whats App communities simultaneously.<br>Key Success Metrics (First Six Months) Successfully establish and manage 6+ recurring player communities. Achieve 70%+ average attendance across community sessions. Deliver measurable improvements in weekday 9:00 AM–5:00 PM court occupancy. Build and maintain an active database of 200+ engaged players with a measurable repeat participation rate.

Community & Outreach Manager<br>Location: Dubai / Sharjah (Multi-site: Me'aisem, Wafi, DIP & Al Zahia) Reports To: Founders Employment Type: Full-Time (Includes Evenings, Weekends & Public Holidays)<br>About the Role:We are looking for an energetic, outgoing, and community-focused professional to build and grow thriving player communities across multiple padel clubs. This is a hands-on role focused on increasing off-peak court utilization by creating recurring communities rather than one-time events. The ideal candidate will be responsible for launching and managing regular player groups, driving membership growth, organizing engaging events, and ensuring players keep coming back week after week. This is a highly interactive role that requires being present on the court, engaging with players, and building lasting relationships.<br>Key Responsibilities:Community Building & Management Launch, manage, and grow 6–8 recurring player communities across multiple club locations. Create structured groups such as:Ladies' Morning Sessions Beginners' Socials Corporate Leagues Over-40s Groups Junior Programs Mixed Americano Sessions Establish each community with a dedicated day, fixed time slot, Whats App group, and consistent host presence. Personally attend and host community sessions to ensure an engaging and welcoming player experience. Foster long-term relationships with players to encourage repeat participation and community loyalty. Membership Growth & Player Acquisition Recruit new players through:Schools Residential Communities Corporate Organizations Gyms & Fitness Centers Mall Footfall Local Community Networks Convert trial participants into regular weekly members through consistent follow-ups and engagement. Maintain a well-organized player database including:Attendance Records Playing Levels Contact Information Communication & Follow-up History Events & Programming Plan and execute a monthly calendar of community activities including:Social Mixers Americano Tournaments Mini Leagues Club Tournaments Coordinate closely with coaching staff to ensure community sessions generate coaching opportunities and additional club revenue. Collaborate with the marketing team by providing player stories, event highlights, photos, and community content for promotional campaigns. Performance Reporting Prepare weekly performance reports covering:Number of Sessions Conducted Player Attendance New Player Registrations Repeat Participation Rate Revenue Generated by Each Community Monitor and report improvements in daytime and off-peak court occupancy across all club locations. Track community growth and recommend initiatives to improve engagement and retention.<br>Candidate Requirements:Minimum 2 years of experience in Community Management, Events, Sports Club Operations, Hospitality, or Membership Sales. Naturally outgoing, energetic, and confident interacting with new people and hosting groups. Strong relationship-building and communication skills. Familiarity with padel or other racket sports is highly preferred; playing experience is an added advantage. Excellent verbal and written English communication skills. Knowledge of Arabic, Spanish, or Hindi/Urdu is an advantage. Valid UAE Driving Licence with own vehicle preferred due to travel across multiple club locations. Flexible to work evenings, weekends, and public holidays. Highly organized with the ability to manage calendars, player databases, attendance records, and multiple Whats App communities simultaneously.<br>Key Success Metrics (First Six Months) Successfully establish and manage 6+ recurring player communities. Achieve 70%+ average attendance across community sessions. Deliver measurable improvements in weekday 9:00 AM–5:00 PM court occupancy. Build and maintain an active database of 200+ engaged players with a measurable repeat participation rate.

<h2>ممثل خدمة عملاء (Customer Service Representative)</h2><p><strong>الشركة:</strong> DELMA Laboratory<br><strong>الموقع:</strong> أبوظبي، الإمارات العربية المتحدة<br><strong>نوع الوظيفة:</strong> دوام كامل<br><strong>المستوى الوظيفي:</strong> مبتدئ (Entry Level)<br><strong>الراتب:</strong> 1,500 – 2,000 دولار أمريكي شهريًا<br><strong>حجم الشركة:</strong> 10 – 49 موظفًا<br><strong>مجال العمل:</strong> المختبرات الهندسية وفحص التربة ومواد البناء</p><p>&nbsp;</p><h2>نبذة عن الشركة</h2><p>تُعد DELMA Laboratory من الجهات المتخصصة في خدمات فحص التربة ومواد البناء والاختبارات الهندسية في دولة الإمارات العربية المتحدة، حيث تقدم خدماتها لدعم المشاريع الإنشائية والهندسية وضمان جودة المواد المستخدمة ومطابقتها للمواصفات الفنية المطلوبة.</p><p>&nbsp;</p><h2>الوصف الوظيفي</h2><p>يعمل ممثل خدمة العملاء كحلقة وصل رئيسية بين العملاء والفريق الفني، حيث يتولى استقبال الاستفسارات، تنسيق طلبات الفحص والاختبارات، متابعة العينات، وتقديم التحديثات اللازمة لضمان تقديم خدمة احترافية وتحقيق رضا العملاء.</p><p>&nbsp;</p><h2>المسؤوليات الرئيسية</h2><h3>الرد على استفسارات العملاء</h3><ul><li>الرد على استفسارات العملاء عبر الهاتف والبريد الإلكتروني.</li><li>تقديم المعلومات المتعلقة بخدمات المختبر.</li><li>الإجابة عن الأسئلة المتعلقة باختبارات التربة ومواد البناء والأسعار ومدد التنفيذ.</li></ul><h3>تقديم المعلومات حول الخدمات</h3><ul><li>شرح الخدمات المتاحة للعملاء.</li><li>المساعدة في اختيار الاختبارات المناسبة لاحتياجات المشاريع.</li></ul><h3>المساعدة في إجراءات تسليم العينات</h3><ul><li>توضيح المستندات المطلوبة.</li><li>شرح آلية وضع الملصقات على العينات.</li><li>توضيح إجراءات التسليم واستكمال البيانات المطلوبة.</li></ul><h3>تنسيق استلام العينات</h3><ul><li>جدولة عمليات استلام العينات.</li><li>التنسيق مع الفنيين الميدانيين عند الحاجة لزيارة المواقع أو جمع العينات.</li></ul><h3>إدخال البيانات وإدارة السجلات</h3><ul><li>تسجيل بيانات العملاء والعينات في نظام إدارة معلومات المختبر.</li><li>تحديث السجلات ومتابعة حالة العينات.</li><li>حفظ البيانات وتنظيمها بشكل دقيق.</li></ul><h3>متابعة تقدم الاختبارات</h3><ul><li>متابعة مراحل الفحص المختلفة.</li><li>إبلاغ العملاء بمستجدات الطلبات والاختبارات.</li></ul><h3>إعداد العروض والتقارير</h3><ul><li>إعداد عروض الأسعار.</li><li>إرسال تأكيدات الخدمة.</li><li>إرسال نتائج الاختبارات.</li><li>إصدار الفواتير.</li></ul><h3>متابعة المستندات والمدفوعات</h3><ul><li>متابعة استكمال المستندات المطلوبة.</li><li>التواصل مع العملاء بشأن المدفوعات والبيانات الناقصة.</li></ul><h3>تحويل الاستفسارات الفنية</h3><ul><li>تحويل الاستفسارات المتخصصة إلى المهندسين أو مشرفي المختبر عند الحاجة.</li></ul><h3>المهام الإدارية</h3><ul><li>الأرشفة وتنظيم الملفات.</li><li>إدخال البيانات.</li><li>إعداد التقارير الإدارية.</li><li>تنفيذ الأعمال المكتبية اليومية.</li></ul><p>&nbsp;</p><h2>المهارات المطلوبة</h2><ul><li>مهارات تواصل ممتازة باللغة العربية والإنجليزية.</li><li>القدرة على تنظيم العمل وإدارة الوقت بكفاءة.</li><li>الدقة والانتباه للتفاصيل.</li><li>مهارات قوية في خدمة العملاء.</li><li>القدرة على إدارة مهام متعددة في الوقت نفسه.</li><li>إجادة استخدام:<ul><li>Microsoft Outlook</li><li>Microsoft Word</li><li>Microsoft Excel</li></ul></li></ul><p>&nbsp;</p><h2>المؤهلات المطلوبة</h2><h3>المؤهل العلمي</h3><ul><li>شهادة الثانوية العامة أو ما يعادلها.</li><li>يفضل الحصول على شهادات إضافية في خدمة العملاء أو الإدارة المكتبية.</li></ul><h3>الخبرة</h3><ul><li>خبرة لا تقل عن سنة واحدة في خدمة العملاء أو الأعمال الإدارية.</li><li>يفضل وجود خبرة في المختبرات أو الشركات الهندسية والإنشائية.</li></ul><h3>اللغات</h3><ul><li>إجادة اللغة العربية تحدثًا وكتابة.</li><li>إجادة اللغة الإنجليزية تحدثًا وكتابة.</li></ul><p>&nbsp;</p><h2>المزايا</h2><ul><li>اكتساب خبرة في قطاع المختبرات الهندسية وفحص مواد البناء.</li><li>تطوير مهارات خدمة العملاء والتنسيق وإدارة البيانات.</li><li>العمل ضمن بيئة مهنية منظمة.</li><li>فرص للتطور الوظيفي مستقبلًا إلى:<ul><li>منسق خدمات العملاء</li><li>مشرف خدمة العملاء</li><li>مسؤول العمليات</li><li>منسق المشاريع</li><li>مدير علاقات العملاء</li></ul></li></ul><p>&nbsp;</p><p><strong>المستوى الوظيفي:</strong> مبتدئ (Entry Level)</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job Senior Oracle PL/SQL &amp;amp - Data Warehouse Engineer <p><strong>KEY RESPONSIBILITIES</strong></p><br> <p>1. Database Design &amp; Development</p><br> <p> Design, develop, and maintain robust database solutions using Oracle and advanced PL/SQL, including stored&nbsp;<span>procedures, functions, packages, and triggers.</span></p><br> <p> Build and optimise complex SQL queries to support high-volume data processing and analytical requirements.</p><br> <p> Develop and manage data models and schema designs that are scalable, maintainable, and aligned with enterprise data&nbsp;<span>standards.</span></p><br> <p> Apply bulk data processing techniques using advanced PL/SQL methodologies to ensure efficient handling of large&nbsp;<span>datasets.</span></p><br> <p> Perform continuous performance tuning of SQL queries and data flows to meet operational SLAs and system&nbsp;<span>performance benchmarks.</span></p><br> <p>2. Data Warehousing &amp; Integration</p><br> <p> Architect and implement data integration and data warehouse solutions that consolidate disparate data sources into&nbsp;<span>unified, reliable data environments.</span></p><br> <p> Gather, analyse, and translate business and technical data integration requirements into scalable, production-ready&nbsp;<span>solutions.</span></p><br> <p> Perform end-to-end data transformation and data analysis across complex and heterogeneous data sources.</p><br> <p> Ensure data integrity, consistency, and accuracy throughout all stages of the data pipeline and warehouse lifecycle.</p><br> <p> Work with cloud-based data platforms including Amazon Redshift and AWS Cloud services where applicable to extend&nbsp;<span>warehouse capabilities.</span></p><br> <p>3. Reporting &amp; Data Insights</p><br> <p> Design and build reporting solutions using business intelligence platforms including MicroStrategy, Crystal Reports, and&nbsp;<span>SSRS.</span></p><br> <p> Generate actionable data insights and structured reports to support business decision-making across various&nbsp;<span>operational domains.</span></p><br> <p> Translate complex datasets into clear, structured outputs that meet the needs of both technical and non-technical&nbsp;<span>stakeholders.</span></p><br> <p> Maintain and enhance existing report libraries, ensuring accuracy, performance, and alignment with evolving business&nbsp;<span>requirements.</span></p><br> <p>4. Collaboration &amp; Cross-Functional Engagement</p><br> <p> Collaborate closely with technology and business teams across project workstreams to deliver shared objectives within&nbsp;<span>agreed timelines.</span></p><br> <p> Participate in requirements-gathering sessions, technical design discussions, and solution reviews with cross-functional&nbsp;<span>stakeholders.</span></p><br> <p> Proactively identify and resolve data-related issues, applying structured problem-solving approaches to minimise&nbsp;<span>impact on project delivery.</span></p><br> <p> Contribute to documentation of technical designs, data flows, and solution architectures to ensure knowledge&nbsp;<span>continuity and auditability.</span></p><br> <p><strong>QUALIFICATIONS &amp; EXPERIENCE</strong></p><br> <p>- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline.</p><br> <p>- 5 to 7 years of hands-on professional experience in Oracle PL/SQL development and data warehouse engineering.</p><br> <p>- Advanced SQL and PL/SQL knowledge with a demonstrated ability to write, optimise, and debug complex queries and&nbsp;<span>stored procedures.</span></p><br> <p>- Strong experience in bulk data processing using advanced SQL and PL/SQL techniques in high-volume enterprise&nbsp;<span>environments.</span></p><br> <p>- Solid proficiency in data modeling, schema design, and query optimisation for both OLTP and OLAP systems.</p><br> <p>- Hands-on experience working with Oracle Database in production-grade enterprise settings.</p><br> <p>- Proven expertise in gathering and analysing data integration requirements and delivering scalable, reliable solutions.</p><br> <p>- Ability to build structured reports and generate data-driven insights using BI and reporting tools.</p><br> <p>- Strong aptitude for identifying, diagnosing, and resolving data quality and data pipeline issues efficiently.</p><br> <p>- Demonstrated track record of performance tuning across data flows, ETL processes, and SQL query execution.</p><br> <p>- Excellent communication and interpersonal skills with experience working in cross-functional, collaborative team&nbsp;<span>environments.</span></p><br> <p>- Aviation or airline domain experience is strongly preferred.</p><br> <p>- Experience with Amazon Redshift, Hadoop, Hive, and Apache Spark frameworks is a significant advantage.</p><br> <p>- Familiarity with AWS Cloud services and cloud-first data architecture patterns is preferred.</p><br> <p><strong>WHAT WE OFFER</strong></p><br> <p> Salary: AED 10,000 – 13,000 per month (based on experience and skill fit)</p><br> <p> Work Visa: UAE employment visa sponsored and processed by the company</p><br> <p> Annual Air Tickets: Return air tickets provided as per UAE Labour Law entitlements</p><br> <p> Medical Insurance: Comprehensive medical insurance coverage</p><br> <p> Gratuity: End-of-service gratuity as per UAE Labour Law</p><br> <p> Paid Time Off: Annual leave, sick leave, and public holidays as per UAE regulations</p><br> <br> <br> </div>

Job Title: AI/ML Architect Location: Mumbai (with potential travel to multiple global office locations including the USA, UAE, Saudi Arabia, and Singapore) Experience Level: 10- 12 years (6–8 years in engineering/data science roles and at least 2-3+ years in a dedicated AI/ML architecture role)<br>About the Role We are seeking a highly experienced Enterprise Data and AI Architect to design, implement, and scale enterprise-grade AI solutions across industries such as BFSI, Retail, Manufacturing, and Healthcare. This is a strategic, hands-on leadership role designed to transform legacy data silos into modern Data Mesh or Data Lakehouse architectures. The ideal candidate will bridge the gap between "Proof of Concept" (PoC) and full-scale enterprise production by deploying cutting-edge Machine Learning, Generative AI, and Agentic AI systems. You will collaborate closely with product teams, pre-sales, and executive stakeholders to translate complex business problems into secure, scalable, and autonomous AI solutions.<br>Key Responsibilities AI Strategy & Solution Architecture Define and evolve the enterprise AI architecture to align with business, data, and technology strategies. Ability to translate complex business challenges into scalable AI-driven technical architectures Design end-to-end AI and ML architectures spanning data ingestion, pre-processing, model training, deployment, and monitoring. Architect scalable, secure, and compliant AI deployment models (Cloud and Hybrid) and intelligent automation solutions. Develop reference architectures and reusable patterns for generative AI, Agentic AI, predictive models, conversational systems, and intelligent automation. Evaluate and select the appropriate AI technologies, frameworks, cloud services, LLM orchestration frameworks, vector databases, and tooling.<br>Generative AI, LLM & Agentic AI Implementation Architect and build Gen AI solutions and LLM-powered applications using RAG, fine-tuning, and prompt engineering. Design and implement Agentic AI systems capable of autonomous decision-making, multi-step task execution, and function-calling in production. Establish custom orchestration frameworks for multi-agent collaboration, memory management, planning, evaluation harnesses, and tool invocation. Work across major AI foundries and APIs, including Azure Open AI, AWS Bedrock, Google Vertex AI, Anthropic Claude SDK, and Open AI APIs. Design RAG pipelines using vector databases and meticulously tune embeddings to ensure high retrieval quality. Optimize prompts, implement response validation mechanisms, and systematically reduce hallucination risks. Writing clean and maintainable code, Agile methodologies, Git version control, and testing methodologies<br>Machine Learning Model Development Design, develop, deploy, and optimize advanced ML algorithms, leveraging techniques in supervised/unsupervised learning, deep learning, reinforcement learning, NLP, and computer vision. Select appropriate mathematical and statistical modeling techniques, handling comprehensive data preparation, wrangling, feature engineering, and dimensionality reduction. Train and deploy ML models utilizing distributed computing frameworks and tools like PyTorch, Tensor Flow, MLflow, Sage Maker, Azure ML, or Kubeflow.<br>Data Engineering, Cloud Governance & Integration Overhaul legacy data silos into modern Data Lakehouse or Data Mesh architectures to support predictive analytics and real-time business intelligence. Partner with data architects to define robust data pipelines, data governance, feature stores, and complex ETL/ELT processes. Design secure and performant integration patterns to connect AI agents and models dynamically with ERP, CRM, workflow engines, APIs, and microservices.<br>MLOps, LLMOps & Production Operations Define and implement comprehensive MLOps/LLMOps standards, including CI/CD pipelines, model versioning, lifecycle observability, and rollback processes. Establish rigorous monitoring frameworks spanning model drift detection, performance tracking, telemetry, and establishing KPIs for production AI systems. Monitor autonomous agent performance, define evaluation metrics (task success rate, reasoning validation, error handling), and track decision audit trails. Drive continuous improvement of model performance, computational efficiency, and operational cost.<br>AI Governance, Security & Ethics Establish enterprise AI governance standards, ensuring compliance with data privacy policies (PII handling), role-based access, and IT security protocols (e.g., AWS IAM, Guard Duty). Implement "Responsible AI" guardrails tailored for regulated industries, including fairness checks, bias detection, and safety filters. Design human-in-the-loop mechanisms for agent oversight, define autonomy thresholds, and establish escalation protocols. Ensure complete traceability, automation audit trails, and explainability in AI-driven decisions.<br>Technical Leadership, Collaboration & Research Partner with business, product, engineering, and compliance teams to translate complex business problems into viable AI/ML approaches. Create and deliver high-level technical presentations to executive stakeholders using data visualization tools to communicate complex strategies and business impact. Provide technical guidance, architectural oversight, and mentorship to junior engineers.<br>Required Skills & Qualifications<br>Technical Core & Programming:Mandatory: Strong programming proficiency in Python & Libraries such as Pandas, Num Py, and Scikit-learn Solid mathematical & Statistical foundation covering linear algebra, calculus, probability theory, and statistics. Database: SQL for relational databases and NoSQL for unstructured data handling Developing scalable microservices via RESTful APIs, Fast API, g RPC Server Machine Learning & Deep Learning:Proficiency with ML frameworks such as Tensor Flow, PyTorch, and Scikit-learn. Hands-on experience implementing algorithms like decision trees, random forests, SVMs, and neural networks. Expertise in deep learning architectures (CNN, RNN, GAN). Expertise in Natural Language Processing (NLP) and recommendation systems Hands-on experience with Multimodal NLP implementation, such as Computer Vision (Open CV) and Speech-to-Text Generative AI, LLMs & Agentic Orchestration (Must Have):Extensive experience interacting/integration with Foundation LLM Models ( such as GPT, Claude, Gemini, LLaMA, Mistral, and Deep Seek) Proven ability in Model Fine-Tuning & Customization Experience with LLM frameworks like Lang Chain and Llama Index. Proven expertise in designing multi-agent orchestration using Lang Graph, Crew AI, Auto Gen, or equivalent tools. Hands-on experience with AI foundries and Copilots: Open AI, Azure AI Foundry, MSFT Copilot Studio Agent Builder, AWS Bedrock, Vertex AI, Anthropic Claude, and low-code/no-code platforms Data Platforms, Vector Databases & Infrastructure:Mandatory Skills: Data Warehousing. Deep expertise in the AWS Ecosystem (S3, Sage Maker, Redshift, Glue, Bedrock, EKS) alongside Azure or GCP exposure. Experience with large-scale data processing tools like Snowflake, Databricks, or Apache Spark. Implementation of RAG using Vector Databases (Pinecone, FAISS, Chroma, Azure AI Search, etc). Moderate-level background in Infrastructure as Code (IaC) via Terraform or AWS Cloud Formation. Proficiency in architectural patterns (microservices, event-driven, API-first design) and Database knowledge (SQL/NoSQL) MLOps & Observability Tools:Experience across the ML/LLM lifecycle using MLflow, Kubernetes, and evaluation/observability tooling. Proficiency in data visualization tools to analyze and present model insights<br>Experience & Educational Requirements Education:Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or a related technical field.<br>Minimum Experience Requirements:10–12 years of overall professional experience. Minimum 4 years of experience in application development, engineering, or solution delivery roles. Minimum 2+ years dedicated to AI architecture roles. Minimum 3 years of hands-on experience in AI/ML engineering, data science, or AI solution architecture. Minimum 2 years designing and implementing scaled Agentic AI and Generative AI solutions/platforms in active operations.

Job Title: AI/ML Architect Location: Mumbai (with potential travel to multiple global office locations including the USA, UAE, Saudi Arabia, and Singapore) Experience Level: 10- 12 years (6–8 years in engineering/data science roles and at least 2-3+ years in a dedicated AI/ML architecture role)<br>About the Role We are seeking a highly experienced Enterprise Data and AI Architect to design, implement, and scale enterprise-grade AI solutions across industries such as BFSI, Retail, Manufacturing, and Healthcare. This is a strategic, hands-on leadership role designed to transform legacy data silos into modern Data Mesh or Data Lakehouse architectures. The ideal candidate will bridge the gap between "Proof of Concept" (PoC) and full-scale enterprise production by deploying cutting-edge Machine Learning, Generative AI, and Agentic AI systems. You will collaborate closely with product teams, pre-sales, and executive stakeholders to translate complex business problems into secure, scalable, and autonomous AI solutions.<br>Key Responsibilities AI Strategy & Solution Architecture Define and evolve the enterprise AI architecture to align with business, data, and technology strategies. Ability to translate complex business challenges into scalable AI-driven technical architectures Design end-to-end AI and ML architectures spanning data ingestion, pre-processing, model training, deployment, and monitoring. Architect scalable, secure, and compliant AI deployment models (Cloud and Hybrid) and intelligent automation solutions. Develop reference architectures and reusable patterns for generative AI, Agentic AI, predictive models, conversational systems, and intelligent automation. Evaluate and select the appropriate AI technologies, frameworks, cloud services, LLM orchestration frameworks, vector databases, and tooling.<br>Generative AI, LLM & Agentic AI Implementation Architect and build Gen AI solutions and LLM-powered applications using RAG, fine-tuning, and prompt engineering. Design and implement Agentic AI systems capable of autonomous decision-making, multi-step task execution, and function-calling in production. Establish custom orchestration frameworks for multi-agent collaboration, memory management, planning, evaluation harnesses, and tool invocation. Work across major AI foundries and APIs, including Azure Open AI, AWS Bedrock, Google Vertex AI, Anthropic Claude SDK, and Open AI APIs. Design RAG pipelines using vector databases and meticulously tune embeddings to ensure high retrieval quality. Optimize prompts, implement response validation mechanisms, and systematically reduce hallucination risks. Writing clean and maintainable code, Agile methodologies, Git version control, and testing methodologies<br>Machine Learning Model Development Design, develop, deploy, and optimize advanced ML algorithms, leveraging techniques in supervised/unsupervised learning, deep learning, reinforcement learning, NLP, and computer vision. Select appropriate mathematical and statistical modeling techniques, handling comprehensive data preparation, wrangling, feature engineering, and dimensionality reduction. Train and deploy ML models utilizing distributed computing frameworks and tools like PyTorch, Tensor Flow, MLflow, Sage Maker, Azure ML, or Kubeflow.<br>Data Engineering, Cloud Governance & Integration Overhaul legacy data silos into modern Data Lakehouse or Data Mesh architectures to support predictive analytics and real-time business intelligence. Partner with data architects to define robust data pipelines, data governance, feature stores, and complex ETL/ELT processes. Design secure and performant integration patterns to connect AI agents and models dynamically with ERP, CRM, workflow engines, APIs, and microservices.<br>MLOps, LLMOps & Production Operations Define and implement comprehensive MLOps/LLMOps standards, including CI/CD pipelines, model versioning, lifecycle observability, and rollback processes. Establish rigorous monitoring frameworks spanning model drift detection, performance tracking, telemetry, and establishing KPIs for production AI systems. Monitor autonomous agent performance, define evaluation metrics (task success rate, reasoning validation, error handling), and track decision audit trails. Drive continuous improvement of model performance, computational efficiency, and operational cost.<br>AI Governance, Security & Ethics Establish enterprise AI governance standards, ensuring compliance with data privacy policies (PII handling), role-based access, and IT security protocols (e.g., AWS IAM, Guard Duty). Implement "Responsible AI" guardrails tailored for regulated industries, including fairness checks, bias detection, and safety filters. Design human-in-the-loop mechanisms for agent oversight, define autonomy thresholds, and establish escalation protocols. Ensure complete traceability, automation audit trails, and explainability in AI-driven decisions.<br>Technical Leadership, Collaboration & Research Partner with business, product, engineering, and compliance teams to translate complex business problems into viable AI/ML approaches. Create and deliver high-level technical presentations to executive stakeholders using data visualization tools to communicate complex strategies and business impact. Provide technical guidance, architectural oversight, and mentorship to junior engineers.<br>Required Skills & Qualifications<br>Technical Core & Programming:Mandatory: Strong programming proficiency in Python & Libraries such as Pandas, Num Py, and Scikit-learn Solid mathematical & Statistical foundation covering linear algebra, calculus, probability theory, and statistics. Database: SQL for relational databases and NoSQL for unstructured data handling Developing scalable microservices via RESTful APIs, Fast API, g RPC Server Machine Learning & Deep Learning:Proficiency with ML frameworks such as Tensor Flow, PyTorch, and Scikit-learn. Hands-on experience implementing algorithms like decision trees, random forests, SVMs, and neural networks. Expertise in deep learning architectures (CNN, RNN, GAN). Expertise in Natural Language Processing (NLP) and recommendation systems Hands-on experience with Multimodal NLP implementation, such as Computer Vision (Open CV) and Speech-to-Text Generative AI, LLMs & Agentic Orchestration (Must Have):Extensive experience interacting/integration with Foundation LLM Models ( such as GPT, Claude, Gemini, LLaMA, Mistral, and Deep Seek) Proven ability in Model Fine-Tuning & Customization Experience with LLM frameworks like Lang Chain and Llama Index. Proven expertise in designing multi-agent orchestration using Lang Graph, Crew AI, Auto Gen, or equivalent tools. Hands-on experience with AI foundries and Copilots: Open AI, Azure AI Foundry, MSFT Copilot Studio Agent Builder, AWS Bedrock, Vertex AI, Anthropic Claude, and low-code/no-code platforms Data Platforms, Vector Databases & Infrastructure:Mandatory Skills: Data Warehousing. Deep expertise in the AWS Ecosystem (S3, Sage Maker, Redshift, Glue, Bedrock, EKS) alongside Azure or GCP exposure. Experience with large-scale data processing tools like Snowflake, Databricks, or Apache Spark. Implementation of RAG using Vector Databases (Pinecone, FAISS, Chroma, Azure AI Search, etc). Moderate-level background in Infrastructure as Code (IaC) via Terraform or AWS Cloud Formation. Proficiency in architectural patterns (microservices, event-driven, API-first design) and Database knowledge (SQL/NoSQL) MLOps & Observability Tools:Experience across the ML/LLM lifecycle using MLflow, Kubernetes, and evaluation/observability tooling. Proficiency in data visualization tools to analyze and present model insights<br>Experience & Educational Requirements Education:Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or a related technical field.<br>Minimum Experience Requirements:10–12 years of overall professional experience. Minimum 4 years of experience in application development, engineering, or solution delivery roles. Minimum 2+ years dedicated to AI architecture roles. Minimum 3 years of hands-on experience in AI/ML engineering, data science, or AI solution architecture. Minimum 2 years designing and implementing scaled Agentic AI and Generative AI solutions/platforms in active operations.

Job Title: AI/ML Architect Location: Mumbai (with potential travel to multiple global office locations including the USA, UAE, Saudi Arabia, and Singapore) Experience Level: 10- 12 years (6–8 years in engineering/data science roles and at least 2-3+ years in a dedicated AI/ML architecture role)<br>About the Role We are seeking a highly experienced Enterprise Data and AI Architect to design, implement, and scale enterprise-grade AI solutions across industries such as BFSI, Retail, Manufacturing, and Healthcare. This is a strategic, hands-on leadership role designed to transform legacy data silos into modern Data Mesh or Data Lakehouse architectures. The ideal candidate will bridge the gap between "Proof of Concept" (PoC) and full-scale enterprise production by deploying cutting-edge Machine Learning, Generative AI, and Agentic AI systems. You will collaborate closely with product teams, pre-sales, and executive stakeholders to translate complex business problems into secure, scalable, and autonomous AI solutions.<br>Key Responsibilities AI Strategy & Solution Architecture Define and evolve the enterprise AI architecture to align with business, data, and technology strategies. Ability to translate complex business challenges into scalable AI-driven technical architectures Design end-to-end AI and ML architectures spanning data ingestion, pre-processing, model training, deployment, and monitoring. Architect scalable, secure, and compliant AI deployment models (Cloud and Hybrid) and intelligent automation solutions. Develop reference architectures and reusable patterns for generative AI, Agentic AI, predictive models, conversational systems, and intelligent automation. Evaluate and select the appropriate AI technologies, frameworks, cloud services, LLM orchestration frameworks, vector databases, and tooling.<br>Generative AI, LLM & Agentic AI Implementation Architect and build Gen AI solutions and LLM-powered applications using RAG, fine-tuning, and prompt engineering. Design and implement Agentic AI systems capable of autonomous decision-making, multi-step task execution, and function-calling in production. Establish custom orchestration frameworks for multi-agent collaboration, memory management, planning, evaluation harnesses, and tool invocation. Work across major AI foundries and APIs, including Azure Open AI, AWS Bedrock, Google Vertex AI, Anthropic Claude SDK, and Open AI APIs. Design RAG pipelines using vector databases and meticulously tune embeddings to ensure high retrieval quality. Optimize prompts, implement response validation mechanisms, and systematically reduce hallucination risks. Writing clean and maintainable code, Agile methodologies, Git version control, and testing methodologies<br>Machine Learning Model Development Design, develop, deploy, and optimize advanced ML algorithms, leveraging techniques in supervised/unsupervised learning, deep learning, reinforcement learning, NLP, and computer vision. Select appropriate mathematical and statistical modeling techniques, handling comprehensive data preparation, wrangling, feature engineering, and dimensionality reduction. Train and deploy ML models utilizing distributed computing frameworks and tools like PyTorch, Tensor Flow, MLflow, Sage Maker, Azure ML, or Kubeflow.<br>Data Engineering, Cloud Governance & Integration Overhaul legacy data silos into modern Data Lakehouse or Data Mesh architectures to support predictive analytics and real-time business intelligence. Partner with data architects to define robust data pipelines, data governance, feature stores, and complex ETL/ELT processes. Design secure and performant integration patterns to connect AI agents and models dynamically with ERP, CRM, workflow engines, APIs, and microservices.<br>MLOps, LLMOps & Production Operations Define and implement comprehensive MLOps/LLMOps standards, including CI/CD pipelines, model versioning, lifecycle observability, and rollback processes. Establish rigorous monitoring frameworks spanning model drift detection, performance tracking, telemetry, and establishing KPIs for production AI systems. Monitor autonomous agent performance, define evaluation metrics (task success rate, reasoning validation, error handling), and track decision audit trails. Drive continuous improvement of model performance, computational efficiency, and operational cost.<br>AI Governance, Security & Ethics Establish enterprise AI governance standards, ensuring compliance with data privacy policies (PII handling), role-based access, and IT security protocols (e.g., AWS IAM, Guard Duty). Implement "Responsible AI" guardrails tailored for regulated industries, including fairness checks, bias detection, and safety filters. Design human-in-the-loop mechanisms for agent oversight, define autonomy thresholds, and establish escalation protocols. Ensure complete traceability, automation audit trails, and explainability in AI-driven decisions.<br>Technical Leadership, Collaboration & Research Partner with business, product, engineering, and compliance teams to translate complex business problems into viable AI/ML approaches. Create and deliver high-level technical presentations to executive stakeholders using data visualization tools to communicate complex strategies and business impact. Provide technical guidance, architectural oversight, and mentorship to junior engineers.<br>Required Skills & Qualifications<br>Technical Core & Programming:Mandatory: Strong programming proficiency in Python & Libraries such as Pandas, Num Py, and Scikit-learn Solid mathematical & Statistical foundation covering linear algebra, calculus, probability theory, and statistics. Database: SQL for relational databases and NoSQL for unstructured data handling Developing scalable microservices via RESTful APIs, Fast API, g RPC Server Machine Learning & Deep Learning:Proficiency with ML frameworks such as Tensor Flow, PyTorch, and Scikit-learn. Hands-on experience implementing algorithms like decision trees, random forests, SVMs, and neural networks. Expertise in deep learning architectures (CNN, RNN, GAN). Expertise in Natural Language Processing (NLP) and recommendation systems Hands-on experience with Multimodal NLP implementation, such as Computer Vision (Open CV) and Speech-to-Text Generative AI, LLMs & Agentic Orchestration (Must Have):Extensive experience interacting/integration with Foundation LLM Models ( such as GPT, Claude, Gemini, LLaMA, Mistral, and Deep Seek) Proven ability in Model Fine-Tuning & Customization Experience with LLM frameworks like Lang Chain and Llama Index. Proven expertise in designing multi-agent orchestration using Lang Graph, Crew AI, Auto Gen, or equivalent tools. Hands-on experience with AI foundries and Copilots: Open AI, Azure AI Foundry, MSFT Copilot Studio Agent Builder, AWS Bedrock, Vertex AI, Anthropic Claude, and low-code/no-code platforms Data Platforms, Vector Databases & Infrastructure:Mandatory Skills: Data Warehousing. Deep expertise in the AWS Ecosystem (S3, Sage Maker, Redshift, Glue, Bedrock, EKS) alongside Azure or GCP exposure. Experience with large-scale data processing tools like Snowflake, Databricks, or Apache Spark. Implementation of RAG using Vector Databases (Pinecone, FAISS, Chroma, Azure AI Search, etc). Moderate-level background in Infrastructure as Code (IaC) via Terraform or AWS Cloud Formation. Proficiency in architectural patterns (microservices, event-driven, API-first design) and Database knowledge (SQL/NoSQL) MLOps & Observability Tools:Experience across the ML/LLM lifecycle using MLflow, Kubernetes, and evaluation/observability tooling. Proficiency in data visualization tools to analyze and present model insights<br>Experience & Educational Requirements Education:Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or a related technical field.<br>Minimum Experience Requirements:10–12 years of overall professional experience. Minimum 4 years of experience in application development, engineering, or solution delivery roles. Minimum 2+ years dedicated to AI architecture roles. Minimum 3 years of hands-on experience in AI/ML engineering, data science, or AI solution architecture. Minimum 2 years designing and implementing scaled Agentic AI and Generative AI solutions/platforms in active operations.

<p>Company Description: For 170 years, Veolia has been a global leader in providing water, energy, and waste management solutions. Serving public authorities and industries across 58 countries, our comprehensive services are essential to human development and sustainable growth. As we progress alongside economic growth and human development, we continuously adapt and innovate, designing solutions that positively impact the environment and conserve resources. Veolia focuses on local solutions to purify and preserve vital resources, mitigate resource depletion, decarbonize lifestyles and production methods, and adapt to the impacts of climate change. Our mission is to build a better 21st century, and we proudly identify as #resourcers. Key figures of Veolia Near and Middle East: - Over 3,900 employees in the Middle East (in addition to the nearly 6,000 employees for Enova, which reports directly to Veolia Africa Middle-East for Facility Management and Energy Efficiency contracts in the region) - A robust local network across the region, including the UAE, Oman, Qatar, Bahrain, Kuwait, Lebanon, Turkey, Jordan, and Saudi Arabia - 40 years of sustainable partnerships In the Middle East, Veolia collaborates with industries, governments, communities, and commercial businesses to deliver innovative and sustainable solutions needed today, while maintaining a vision for tomorrow. Through public-private partnerships and innovative contractual schemes, Veolia is dedicated to achieving measurable results with pragmatic, sustainable environmental solutions. For more information, please visit our Website. Job Description: Main Accountabilities: The Asset Controller / Engineer is responsible for maintaining a comprehensive oversight and control of all skip and bin assets across the organization, ensuring accurate tracking of location, condition, and availability to support operational efficiency and contract fulfillment within the waste management business. Detailed Job Description: Asset Tracking and Monitoring - Maintain accurate, real-time records of all skips and bins including location, size specifications, and current deployment status - Monitor asset movements between sites, customers, and depot locations - Track asset utilization rates and identify underperforming or idle equipment - Manage asset database/system ensuring data integrity and accuracy Condition Management - Conduct regular condition assessments of all skips and bins - Document damage, wear and tear, and maintenance requirements - Coordinate timely repairs and refurbishment to maintain asset quality standards - Remove unserviceable assets from active inventory and arrange disposal or scrapping Inventory Control - Monitor stock levels across different skip and bin sizes (e.g., 5 - 36 CBM skips; 240L, 360L, 660L, 1100L bins; Portable Compactors etc) - Forecast demand based on contract requirements and seasonal variations - Coordinate stock replenishment and procurement of new assets - Optimize asset distribution across operational areas Maintenance and Repair Coordination - Schedule and oversee routine preventative maintenance programs - Liaise with maintenance teams and external contractors for repairs - Maintain maintenance records and track costs per asset - Ensure compliance with health and safety standards for all equipment Contract Support - Ensure adequate asset availability for existing contract obligations - Support new contract implementations with asset allocation planning - Coordinate asset deployment for contract start-ups and mobilizations - Manage asset recovery from terminated contracts Audit and Compliance - Conduct regular physical audits of skip and bin inventory - Reconcile physical counts with system records and investigate discrepancies - Prepare audit reports and present findings to management - Implement corrective actions to address audit findings - Ensure compliance with asset management policies and procedures Reporting and Analysis - Generate regular reports on asset utilization, condition, and availability - Provide management with insights on asset performance and investment needs - Track key performance indicators (KPIs) related to asset management - Identify opportunities for cost savings and efficiency improvements. Yard Maintenance Coordination - Oversee general yard maintenance activities and cleanliness. - Coordinate with maintenance teams and contractors for yard upkeep. - Schedule regular inspections of yard facilities and equipment. - Report maintenance issues and track resolution. - Ensure compliance with safety and housekeeping standards. - Coordinate waste management and disposal activities. Manage yard signage, markings, and safety equipment. - Support facility improvement projects. - Maintain records of maintenance activities and costs. - Ensure yard areas meet operational and safety requirements. QHSE: - Report HSE incidents immediately per VESE procedures and ensure compliance with all safety policies. - Implement, enforce, and coordinate QHSE procedures onsite, promoting a behavior-based safety culture. - Ensure HSE controls are in place prior to operations; halt any unsafe activity. - Maintain tools, equipment, and PPE in good condition; report and avoid unsafe acts. Veolia Values: - Demonstrate Veolia’s core values: Responsibility, Community Spirit, Respect, Innovation, and Customer Focus. - Uphold professionalism, integrity, and confidentiality. - Represent Veolia ethically and professionally to all internal and external stakeholders. - Foster a collaborative team environment and lead by example. Teamwork and Collaboration: - Collaborate with cross-functional and multicultural teams. - Share best practices and support operational improvement initiatives. - Mentor and develop team members; contribute positively to a team-oriented environment. - Adapt to business and operational changes as required. Organizing and Reporting - Ensure timely and accurate reporting; maintain organized hard and soft files with focus on digitalization. - Produce, update, and submit required operational reports and KPIs. - Report non-compliance or misconduct to senior management as necessary. Communication: - Adhere to Veolia's “6C” communication principles: Clear, Concise, Concrete, Correct, Coherent, Courteous. - Provide timely and professional updates to all stakeholders. - Fluent in English and Hindi/Urdu?; Arabic is an advantage.</p><p>Education required : - Bachelor’s degree or equivalent qualification in Environmental Sciences, Waste Management, Logistics, or related field. Experience required : - Minimum 2 years asset management, inventory control or similar role. - Experience in waste management or industrial sectors preferred. Technical Skills: - Sound knowledge of waste management operations and relevant hazards. - Good analytical and problem solving capabilities. - Excellent attention to detail and accuracy. - Ability to work independently and prioritise workload. - Valid UAE light vehicle driving license. - Continuous improvement mindset and effective problem-solving skills. Teamwork and Collaboration: - Effective in collaboration, conflict resolution, and multicultural team settings. - Flexible and reliable under changing work priorities. Communication: - Excellent planning, organizational, and report-writing skills with attention to detail. - Able to create and improve operational reports and tools. - Proficient in English; knowledge of Hindi/Urdu? and Arabic? advantageous. Organizing and Reporting: - Strong planning, organizing, workload, and time management skills. - Ability to deliver accurate, well-structured documentation and reporting tools. IT Skills: - Proficient in Google Workspace and associated applications. - Experience with asset management systems and database software. As an inclusive company, Veolia is committed to diversity and gives equal consideration to all applications, without discrimination.</p>

We are HIRING Dubai based experienced PROPERTY CONSULANTS for selling UAE properties. The candidates must have :-<br><br>Strong communication skills with passion for sales of Real estate industry. Basic knowledge of Dubai Real Estate & possesses least 6 months work experience as Property Consultant Presentable personality with a professional attitude Strong understanding of secondary sales, leasing & off-plan property transactions. Confident in handling client inquiries, property viewings, deal closure. Identify & understand client requirements and provide suitable property options. Conduct property viewings, inspections, and presentation. Negotiate prices, terms, and agreement to successfully close deals. Provide after-sales support to clients to encourage repeat business and referrals. Stay informed about market trends, pricing, and new project launches. What we offer Client (Buyer) Leads & Database of company’s inventory for Sale/Rent Project Training. Full marketing (Propertyfinder, Bayut, Dubizzle) & administrative support. Excellent Commission with Timely Payouts. Professional & Stable working environment. Visa, Insurance & Broker ID LET’S GROW TOGETHER

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li>Provide critical 24/7 support for banking applications, ensuring minimal downtime and swift resolution of production incidents.</li><li>Proactively monitor application performance and system health using advanced tools to detect and prevent potential issues before they impact users.</li><li>Diagnose and resolve complex technical problems across various banking systems, including trading platforms, payment gateways, and core banking applications.</li><li>Collaborate closely with development teams to deploy application changes and patches, meticulously managing release cycles and rollback procedures.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>3–7 years of experience in Production Support within the Banking domain.</p></li><li><p>Strong knowledge of Loan Origination Systems such as Sysarc, Intellect, and Oracle-based solutions.</p></li><li><p>Hands-on experience with Unix/Linux, Oracle Database, WebSphere, Java, AWS, and REST APIs.</p></li><li><p>Experience in incident management, root cause analysis, problem resolution, and application monitoring.</p></li><li><p>Ability to work closely with business users, development teams, and infrastructure teams to ensure system availability and performance.</p></li><li><p>Strong analytical, communication, and stakeholder management skills.</p></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Lead the development of accurate cost estimates for projects by analyzing project specifications, drawings, and scope of work.</p></li><li><p>Collaborate with project managers and engineering teams to understand project requirements and adjust estimates accordingly.</p></li><li><p>Conduct risk assessments to identify potential cost overruns and recommend mitigation strategies.</p></li><li><p>Verifying Subcontractor’s interim payment applications and preparing Subcontractor’s payment Certificates.</p></li><li><p>Develop and maintain working relationships with contractors and subcontractors</p></li><li><p>Prepare detailed project budgets, taking into account all estimated costs, including construction.</p></li><li><p>Maintain a database of historical cost data to enhance the accuracy of future estimates.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Bachelor's degree in Engineering, Construction Management, or a related field, with a preference for candidates with advanced degrees.</p></li><li><p>Minimum of 10 years of relevant experience in cost estimation within the construction or engineering sectors.</p></li><li><p>Professional certifications such as Certified Cost Estimator/Analyst (CCEA) or equivalent are highly desirable.</p></li><li><p>Proven experience in large-scale projects, demonstrating advanced knowledge of estimation techniques and tools.</p></li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>Perform administrative functions to support NMDC Tendering Department’s operations, including</span></p><br><p><span>organizing, categorizing and maintaining both physical and digital records.</span></p><br><p><span>·</span><span> Access the CRM system to download, store in appropretate tender department folder and distribute to</span></p><br><p><span>Internal NMDC team member and relevant stakeholders.</span></p><br><p><span>·</span><span> Create and manage the NMDC tender database to ensure accurate and up-to-date records of all tenderrelated documents.</span></p><br><p><span>·</span><span> Maintain structured filing system for tender related documents and ensure that they are easily retrievable.</span></p><br><p><span>·</span><span> Ensure proper labeling, categorization and filing of all tender documents, adhering to NMDC standards and</span></p><br><p><span>ISO 9001.</span></p><br><p><span>·</span><span> Update tender records and ensure the correct documentation is associated with each tender project.</span></p><br><p><span>·</span><span> Act as a point of contact between tendering department teams and external clients, suppliers and</span></p><br><p><span>contractors by ensuring the right documents are available to the right people at the right time..</span></p><br><p><span>·</span><span> Facilitate the smooth flow of documentation during tender preparation, including preparing and distributing</span></p><br><p><span>tender packages.</span></p><br><p><span>·</span><span> Carry out other task as may reasonably instructed by line manager.</span></p><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><br>POSITION SUMMARY<br>Promote awareness of brand image internally and externally. Develop marketing materials and assemble information packages (e.g., brochures, promotional materials, maps) for promotional events, property tours, and conferences. Prepare or edit letters, invitations, monthly and quarterly press reports, and news releases, using word processing, spreadsheet, database, or presentation software. Make updates to property website. Respond to all daily general media inquiries or refer to an appropriate spokesperson. Monitor media coverage and other external factors to identify potential or actual problem areas and opportunities. Support media relations outreach efforts and other activities to bolster the property's reputation and image in the community. Coordinate on-property visits from media, including reservations, amenities, special requests, and dining. File and update press database, digital library, and press clippings.<br>Follow all company policies and procedures; ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect the privacy and security of guests and coworkers. Welcome and acknowledge all guests according to company standards; anticipate and address guests’ service needs; thank guests with genuine appreciation. Speak with others using clear and professional language; prepare and review written documents accurately and completely; answer telephones using appropriate etiquette. Develop and maintain positive working relationships with others; support team to reach common goals; listen and respond appropriately to the concerns of other employees. Read and visually verify information in a variety of formats. Move, lift, carry, push, pull, and place objects weighing less than or equal to 10 pounds without assistance. Perform other reasonable job duties as requested by Supervisors.<br>PREFERRED QUALIFICATIONS&nbsp;<br>Education: Bachelor's degree from accredited university or college.<br>Related Work Experience: At least 1 year of related work experience.<br>Supervisory Experience: No supervisory experience.<br>License or Certification: None&nbsp;<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>Developed in partnership with jeweler and luxury products designer Bulgari, our select Bulgari Hotels &amp; Resorts are located in major cosmopolitan cities and luxury resort destinations. Join our team and help deliver the excitement, timeless glamour and heritage of the Bulgari brand. In joining Bulgari Hotels &amp; Resorts, 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.</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Python Engineer - AI Systems Engineer</b></p><p><br></p><p><b>Remote Position at UltraSafeAI</b></p><p><br></p><p><b>Location: </b>100% Remote (India)</p><p><b>Employment Type:</b> Full-time</p><p><b>Experience Level: </b>Mid to Senior (4-5+ years)</p><p><br></p><p><b>Mandatory: </b></p><p><br></p><p>Apply ONLY via this Google Form : </p><p><br></p><p>" Website: docs.google.com/forms/d/e/1FAIpQLSfsMaAnmQBILIxea1xjLX3QlnfzJlQU5O-y4aRfWnabMT9eQg/viewform?usp=sharing&amp;ouid=104913926901546968861"</p><p><br></p><p><b>About UltraSafeAI</b></p><p><br></p><p>UltraSafeAI is a US-based technology company at the forefront of developing secure, reliable, and explainable AI systems. We specialize in proprietary AI technologies including advanced LLMs, CNNs, VLLMs, intelligent agents, computer vision systems, and cutting-edge ML algorithms. Our focus is on B2B AI adoption, providing end-to-end integration using our proprietary technology stack to automate entire business processes.</p><p><br></p><p>We create intelligent solutions that prioritize safety, transparency, and human alignment across various industries including healthcare, finance, legal, and enterprise services. Our mission is to enable seamless AI adoption while maintaining the highest standards of safety and ethical considerations.</p><p><br></p><p><b>Position Overview</b></p><p><br></p><p>We're seeking experienced Python Engineers with expertise in building modern AI systems, particularly focusing on Retrieval Augmented Generation (RAG) architectures and agentic AI frameworks. The ideal candidate will have strong experience with FastAPI, vector databases, and orchestrating complex AI agents to solve real-world problems.</p><p><br></p><p>As a Python Engineer at UltraSafeAI, you'll work on designing and implementing scalable, secure AI systems that power our clients' critical business processes. You'll collaborate with a global team of engineers, researchers, and domain experts to create solutions that set new standards for safety and reliability in AI.</p><p><br></p><p><b>Key Responsibilities</b></p><p><br></p><p>● Design and develop robust FastAPI applications that serve as the backbone for our AI systems</p><p>● Implement sophisticated RAG (Retrieval Augmented Generation) architectures utilizing vector databases, embeddings, and reranking techniques</p><p>● Build and orchestrate multi-agent AI systems using frameworks like LangGraph, CrewAI, or Agent Development Kit</p><p>● Develop intelligent knowledge retrieval systems that enhance LLM capabilities with domain-specific information</p><p>● Create scalable, maintainable, and well-tested code that meets our high-quality standards</p><p>● Contribute to architecture decisions and technology selection for new projects</p><p>● Collaborate with cross-functional teams to understand requirements and deliver solutions</p><p>● Participate in code reviews and knowledge sharing to elevate the entire engineering team</p><p>● Stay current with the rapidly evolving AI landscape and recommend new approaches</p><p><br></p><p><b>Required Qualifications</b></p><p><br></p><p>● 4-5+ years of professional Python development experience</p><p>● Strong expertise in FastAPI development with authentication, async processing, and API design</p><p>● Practical experience building RAG systems with vector databases (Pinecone, FAISS, Chroma, Qdrant, etc.)</p><p>● Experience with embedding models and techniques for effective information retrieval</p><p>● Hands-on experience with at least one agentic framework (LangGraph, CrewAI, Agent Development Kit, etc.)</p><p>● Solid understanding of LLMs and their integration into production systems</p><p>● Excellent problem-solving skills and attention to detail</p><p>● Strong communication skills and ability to work in a distributed team</p><p>● Self-motivated with the ability to work independently in a remote environment</p><p><br></p><p><b>Highly Desirable</b></p><p><br></p><p>● Experience with specialized vector database operations and optimizations</p><p>● Knowledge of reranking techniques to improve retrieval quality</p><p>● Experience building complex multi-agent systems that coordinate specialized AI agents</p><p>● Background in specific domains like finance, healthcare, or legal</p><p>● Contributions to open-source projects</p><p>● Understanding of AI safety considerations and alignment techniques</p><p>● Experience with deployment and monitoring of AI systems in production</p><p><br></p><p><b>Why Join UltraSafeAI?</b></p><p><br></p><p>● 100% Remote Work: Work from anywhere in the world with flexible hours</p><p>● Cutting-Edge Technology: Build systems using the latest advancements in AI</p><p>● Meaningful Impact: Create AI solutions that prioritize safety and human wellbeing</p><p>● Continuous Learning: Regular knowledge sharing sessions and education stipend</p><p>● Global Team: Collaborate with talented professionals from diverse backgrounds</p><p>● Work-Life Balance: Flexible PTO policy and respect for personal time</p><p>● Career Growth: Clear paths for advancement in a rapidly growing company</p><p>● Modern Tech Stack: Work with the latest tools and technologies in AI development</p><p><br></p><p><b>Remote Work Environment</b></p><p><br></p><p>At UltraSafeAI, we've built a fully distributed team from day one. We believe talent is global, and we've created processes and tools to ensure remote work is efficient, collaborative, and enjoyable:</p><p><br></p><p>● Asynchronous-first communication with minimal required meetings</p><p>● Collaborative documentation and knowledge management</p><p>● Regular virtual team-building events and optional in-person retreats</p><p>● Flexible working hours with core collaboration windows</p><p><br></p><p><b>Application Process</b></p><p><br></p><p>1. Initial application review</p><p>2. Technical assessment</p><p>3. Code review and discussion of your assessment</p><p>4. Technical interviews with the engineering team</p><p>5. Final interview with leadership</p><p>6. Offer</p><p><br></p><p>IMPORTANT NOTE REGARDING THE TECHNICAL ASSESSMENT: Our technical assessment is designed to evaluate your actual skills and problem-solving abilities. We expect candidates to complete the assessment independently without using AI tools or external help.</p><p>During the interview process, you will be asked to explain your code and may be required to write similar solutions in real-time. Any discrepancies between your assessment performance and interview performance will be carefully considered in our hiring decision.</p><p><br></p><p><b>Join Us in Building Safer AI</b></p><p><br></p><p>If you're passionate about creating AI systems that are not only powerful but also safe, transparent, and aligned with human values, we'd love to hear from you. At UltraSafeAI, you'll help shape the future of AI technology while working with a global team of talented, mission-driven professionals</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>Required Qualifications</b></p><p><br></p><p>● 4-5+ years of professional Python development experience</p><p>● Strong expertise in FastAPI development with authentication, async processing, and API design</p><p>● Practical experience building RAG systems with vector databases (Pinecone, FAISS, Chroma, Qdrant, etc.)</p><p>● Experience with embedding models and techniques for effective information retrieval</p><p>● Hands-on experience with at least one agentic framework (LangGraph, CrewAI, Agent Development Kit, etc.)</p><p>● Solid understanding of LLMs and their integration into production systems</p><p>● Excellent problem-solving skills and attention to detail</p><p>● Strong communication skills and ability to work in a distributed team</p><p>● Self-motivated with the ability to work independently in a remote environment</p><p><br></p><p><b>Highly Desirable</b></p><p><br></p><p>● Experience with specialized vector database operations and optimizations</p><p>● Knowledge of reranking techniques to improve retrieval quality</p><p>● Experience building complex multi-agent systems that coordinate specialized AI agents</p><p>● Background in specific domains like finance, healthcare, or legal</p><p>● Contributions to open-source projects</p><p>● Understanding of AI safety considerations and alignment techniques</p><p>● Experience with deployment and monitoring of AI systems in production</p></div>

Role: Senior Full Stack Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $80/hour<br>Role Overview:We are hiring for one of our clients, seeking a Senior Fullstack Engineer to work on a contract basis. The role involves designing, developing, and maintaining full-stack applications using modern technologies. You will collaborate with cross-functional teams to deliver scalable solutions.<br>Key Responsibilities:• Design and implement robust, scalable full-stack applications from frontend to backend.• Develop and maintain RESTful APIs, microservices, and database architectures.• Write clean, efficient, and well-documented code while adhering to best practices.• Optimize application performance, ensuring fast load times and seamless user experiences.• Participate in code reviews, debugging, and troubleshooting across the stack.<br>Required Skills & Qualifications:• Proficiency in Java Script, Type Script, Node.js, and React or similar frontend frameworks.• Experience with backend development using Python, Go, or Java.• Strong understanding of databases such as Postgre SQL, Mongo DB, or Dynamo DB.• Familiarity with cloud platforms like AWS, Azure, or GCP.• Knowledge of Dev Ops practices, CI/CD pipelines, and containerization tools like Docker.• Experience with testing frameworks such as Jest, Mocha, or Selenium.• Ability to work independently with minimal supervision in a remote environment.• Strong problem-solving skills and attention to detail.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | IT Services and IT Consulting | Information Services industry, contributing to the development of high-impact digital solutions. The contract includes flexible hours and the ability to work from anywhere.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!