Data Entry Jobs in UAE

Job Description<br><br>Senior Data Analyst joining the BI team to provide independent, end-to-end analytical support to business stakeholders across finera. The role combines strong analytical thinking, SQL fluency, and deliberate use of AI tooling — Claude-generated artefacts, AI-assisted SQL drafting — as a force multiplier; the expectation is to do more with AI, not less rigorous work. The analyst operates across the full landscape of finera’s information systems, translating business questions into reliable, repeatable answers, and acts as a trusted analytical partner to department heads rather than a ticket-taker.<br><br>Job Requirements<br><br> 5+ years experience as a Data Analyst, BI Analyst, or equivalent IC role, ideally in fintech, payments, or another regulated, data-intensive industry. Bachelor’s degree in a quantitative discipline (Computer Science, Statistics, Mathematics, Economics, Engineering) or equivalent demonstrable experience. Demonstrated track record of working independently with non-technical business stakeholders to translate ambiguous questions into structured analyses and decisions. Hands-on experience operating across multiple, heterogeneous data systems (relational databases, Saa S platforms, file-based exports) without requiring engineering hand-holding for data extraction. Comfortable working in an environment subject to PCI DSS and other regulatory controls, with appropriate handling of sensitive financial and personal data. Strong proficiency in integrating AI tools into daily workflows to drive efficiency, quality, and innovation<br> Required Skills & Competencies:Strong SQL — complex joins, CTEs, window functions, performance-conscious query design — applied to Postgre SQL or comparable relational databases. Strong Tableau — dashboard design, calculated fields, parameters, performance tuning, publishing and permissioning on a shared server. Working knowledge of Python (pandas, requests, or equivalent) for data extraction, transformation, and integration tasks where SQL alone is insufficient. Fluent, deliberate use of AI tooling (Claude or comparable) to accelerate analytical work — including prompt design for SQL generation, validation of AI output, and creation of Claude-generated artefacts for stakeholder communication. Strong analytical and critical thinking combined with excellent written and verbal communication in English — able to challenge stakeholder framing, identify the question behind the question, and present findings clearly to both technical and non- technical audiences. <br>Nice-to-have/Preferred:Domain familiarity with payments, payment gateways, processor settlements, FX, or card schemes — understanding of concepts such as authorisation, capture, chargebacks, interchange, and effective rate calculations. Exposure to Salesforce reporting (SOQL, Reports & Dashboards) — relevant given Salesforce’s role as a primary CRM and operational data source at finera.<br><br>Job Responsibilities<br><br>Partner directly with stakeholders across finera (commercial, operations, finance, product, risk, compliance) to scope analytical questions, define success criteria, and deliver answers in the form best suited to the audience — Tableau dashboards, Claude-generated artefacts, ad-hoc reports, or written briefs. Independently retrieve, join, and validate data from across finera’s information systems — Postgre SQL databases, Salesforce, Zendesk, Jira/Confluence, Slack, Gmail, processor settlement files, and any other relevant source — without relying on engineering support for routine extraction. Build, maintain, and continuously improve the BI team’s Tableau dashboards and reporting suite, including operational reports, executive dashboards, and recurring management decks. Use AI tooling (Claude and comparable assistants) deliberately as a force multiplier — drafting and validating SQL, accelerating exploratory analysis, generating stakeholder-ready artefacts — while retaining full ownership of correctness, business interpretation, and data quality. Document data sources, business definitions, and analytical methodology so that work is reproducible, auditable, and transferable across the BI team.<br><br>Job Benefits<br><br>Competitive salary package aligned with experience and market standards. Medical Insurance starting from day 1. Access to training resources and development opportunities that support your professional growth. Well-stocked office with snacks, drinks, and refreshments available daily. A multinational organisation that promotes a strong, collaborative culture Regular team-building events and company activities that strengthen collaboration across teams. Employee Recognition Program celebrating our "Employee of the Month" with special perks.

Job Description<br><br>Senior Data Analyst joining the BI team to provide independent, end-to-end analytical support to business stakeholders across finera. The role combines strong analytical thinking, SQL fluency, and deliberate use of AI tooling — Claude-generated artefacts, AI-assisted SQL drafting — as a force multiplier; the expectation is to do more with AI, not less rigorous work. The analyst operates across the full landscape of finera’s information systems, translating business questions into reliable, repeatable answers, and acts as a trusted analytical partner to department heads rather than a ticket-taker.<br><br>Job Requirements<br><br> 5+ years experience as a Data Analyst, BI Analyst, or equivalent IC role, ideally in fintech, payments, or another regulated, data-intensive industry. Bachelor’s degree in a quantitative discipline (Computer Science, Statistics, Mathematics, Economics, Engineering) or equivalent demonstrable experience. Demonstrated track record of working independently with non-technical business stakeholders to translate ambiguous questions into structured analyses and decisions. Hands-on experience operating across multiple, heterogeneous data systems (relational databases, Saa S platforms, file-based exports) without requiring engineering hand-holding for data extraction. Comfortable working in an environment subject to PCI DSS and other regulatory controls, with appropriate handling of sensitive financial and personal data. Strong proficiency in integrating AI tools into daily workflows to drive efficiency, quality, and innovation<br> Required Skills & Competencies:Strong SQL — complex joins, CTEs, window functions, performance-conscious query design — applied to Postgre SQL or comparable relational databases. Strong Tableau — dashboard design, calculated fields, parameters, performance tuning, publishing and permissioning on a shared server. Working knowledge of Python (pandas, requests, or equivalent) for data extraction, transformation, and integration tasks where SQL alone is insufficient. Fluent, deliberate use of AI tooling (Claude or comparable) to accelerate analytical work — including prompt design for SQL generation, validation of AI output, and creation of Claude-generated artefacts for stakeholder communication. Strong analytical and critical thinking combined with excellent written and verbal communication in English — able to challenge stakeholder framing, identify the question behind the question, and present findings clearly to both technical and non- technical audiences. <br>Nice-to-have/Preferred:Domain familiarity with payments, payment gateways, processor settlements, FX, or card schemes — understanding of concepts such as authorisation, capture, chargebacks, interchange, and effective rate calculations. Exposure to Salesforce reporting (SOQL, Reports & Dashboards) — relevant given Salesforce’s role as a primary CRM and operational data source at finera.<br><br>Job Responsibilities<br><br>Partner directly with stakeholders across finera (commercial, operations, finance, product, risk, compliance) to scope analytical questions, define success criteria, and deliver answers in the form best suited to the audience — Tableau dashboards, Claude-generated artefacts, ad-hoc reports, or written briefs. Independently retrieve, join, and validate data from across finera’s information systems — Postgre SQL databases, Salesforce, Zendesk, Jira/Confluence, Slack, Gmail, processor settlement files, and any other relevant source — without relying on engineering support for routine extraction. Build, maintain, and continuously improve the BI team’s Tableau dashboards and reporting suite, including operational reports, executive dashboards, and recurring management decks. Use AI tooling (Claude and comparable assistants) deliberately as a force multiplier — drafting and validating SQL, accelerating exploratory analysis, generating stakeholder-ready artefacts — while retaining full ownership of correctness, business interpretation, and data quality. Document data sources, business definitions, and analytical methodology so that work is reproducible, auditable, and transferable across the BI team.<br><br>Job Benefits<br><br>Competitive salary package aligned with experience and market standards. Medical Insurance starting from day 1. Access to training resources and development opportunities that support your professional growth. Well-stocked office with snacks, drinks, and refreshments available daily. A multinational organisation that promotes a strong, collaborative culture Regular team-building events and company activities that strengthen collaboration across teams. Employee Recognition Program celebrating our "Employee of the Month" with special perks.

Job Description<br><br>Senior Data Analyst joining the BI team to provide independent, end-to-end analytical support to business stakeholders across finera. The role combines strong analytical thinking, SQL fluency, and deliberate use of AI tooling — Claude-generated artefacts, AI-assisted SQL drafting — as a force multiplier; the expectation is to do more with AI, not less rigorous work. The analyst operates across the full landscape of finera’s information systems, translating business questions into reliable, repeatable answers, and acts as a trusted analytical partner to department heads rather than a ticket-taker.<br><br>Job Requirements<br><br> 5+ years experience as a Data Analyst, BI Analyst, or equivalent IC role, ideally in fintech, payments, or another regulated, data-intensive industry. Bachelor’s degree in a quantitative discipline (Computer Science, Statistics, Mathematics, Economics, Engineering) or equivalent demonstrable experience. Demonstrated track record of working independently with non-technical business stakeholders to translate ambiguous questions into structured analyses and decisions. Hands-on experience operating across multiple, heterogeneous data systems (relational databases, Saa S platforms, file-based exports) without requiring engineering hand-holding for data extraction. Comfortable working in an environment subject to PCI DSS and other regulatory controls, with appropriate handling of sensitive financial and personal data. Strong proficiency in integrating AI tools into daily workflows to drive efficiency, quality, and innovation<br> Required Skills & Competencies:Strong SQL — complex joins, CTEs, window functions, performance-conscious query design — applied to Postgre SQL or comparable relational databases. Strong Tableau — dashboard design, calculated fields, parameters, performance tuning, publishing and permissioning on a shared server. Working knowledge of Python (pandas, requests, or equivalent) for data extraction, transformation, and integration tasks where SQL alone is insufficient. Fluent, deliberate use of AI tooling (Claude or comparable) to accelerate analytical work — including prompt design for SQL generation, validation of AI output, and creation of Claude-generated artefacts for stakeholder communication. Strong analytical and critical thinking combined with excellent written and verbal communication in English — able to challenge stakeholder framing, identify the question behind the question, and present findings clearly to both technical and non- technical audiences. <br>Nice-to-have/Preferred:Domain familiarity with payments, payment gateways, processor settlements, FX, or card schemes — understanding of concepts such as authorisation, capture, chargebacks, interchange, and effective rate calculations. Exposure to Salesforce reporting (SOQL, Reports & Dashboards) — relevant given Salesforce’s role as a primary CRM and operational data source at finera.<br><br>Job Responsibilities<br><br>Partner directly with stakeholders across finera (commercial, operations, finance, product, risk, compliance) to scope analytical questions, define success criteria, and deliver answers in the form best suited to the audience — Tableau dashboards, Claude-generated artefacts, ad-hoc reports, or written briefs. Independently retrieve, join, and validate data from across finera’s information systems — Postgre SQL databases, Salesforce, Zendesk, Jira/Confluence, Slack, Gmail, processor settlement files, and any other relevant source — without relying on engineering support for routine extraction. Build, maintain, and continuously improve the BI team’s Tableau dashboards and reporting suite, including operational reports, executive dashboards, and recurring management decks. Use AI tooling (Claude and comparable assistants) deliberately as a force multiplier — drafting and validating SQL, accelerating exploratory analysis, generating stakeholder-ready artefacts — while retaining full ownership of correctness, business interpretation, and data quality. Document data sources, business definitions, and analytical methodology so that work is reproducible, auditable, and transferable across the BI team.<br><br>Job Benefits<br><br>Competitive salary package aligned with experience and market standards. Medical Insurance starting from day 1. Access to training resources and development opportunities that support your professional growth. Well-stocked office with snacks, drinks, and refreshments available daily. A multinational organisation that promotes a strong, collaborative culture Regular team-building events and company activities that strengthen collaboration across teams. Employee Recognition Program celebrating our "Employee of the Month" with special perks.

Job Description<br><br>Senior Data Analyst joining the BI team to provide independent, end-to-end analytical support to business stakeholders across finera. The role combines strong analytical thinking, SQL fluency, and deliberate use of AI tooling — Claude-generated artefacts, AI-assisted SQL drafting — as a force multiplier; the expectation is to do more with AI, not less rigorous work. The analyst operates across the full landscape of finera’s information systems, translating business questions into reliable, repeatable answers, and acts as a trusted analytical partner to department heads rather than a ticket-taker.<br><br>Job Requirements<br><br> 5+ years experience as a Data Analyst, BI Analyst, or equivalent IC role, ideally in fintech, payments, or another regulated, data-intensive industry. Bachelor’s degree in a quantitative discipline (Computer Science, Statistics, Mathematics, Economics, Engineering) or equivalent demonstrable experience. Demonstrated track record of working independently with non-technical business stakeholders to translate ambiguous questions into structured analyses and decisions. Hands-on experience operating across multiple, heterogeneous data systems (relational databases, Saa S platforms, file-based exports) without requiring engineering hand-holding for data extraction. Comfortable working in an environment subject to PCI DSS and other regulatory controls, with appropriate handling of sensitive financial and personal data. Strong proficiency in integrating AI tools into daily workflows to drive efficiency, quality, and innovation<br> Required Skills & Competencies:Strong SQL — complex joins, CTEs, window functions, performance-conscious query design — applied to Postgre SQL or comparable relational databases. Strong Tableau — dashboard design, calculated fields, parameters, performance tuning, publishing and permissioning on a shared server. Working knowledge of Python (pandas, requests, or equivalent) for data extraction, transformation, and integration tasks where SQL alone is insufficient. Fluent, deliberate use of AI tooling (Claude or comparable) to accelerate analytical work — including prompt design for SQL generation, validation of AI output, and creation of Claude-generated artefacts for stakeholder communication. Strong analytical and critical thinking combined with excellent written and verbal communication in English — able to challenge stakeholder framing, identify the question behind the question, and present findings clearly to both technical and non- technical audiences. <br>Nice-to-have/Preferred:Domain familiarity with payments, payment gateways, processor settlements, FX, or card schemes — understanding of concepts such as authorisation, capture, chargebacks, interchange, and effective rate calculations. Exposure to Salesforce reporting (SOQL, Reports & Dashboards) — relevant given Salesforce’s role as a primary CRM and operational data source at finera.<br><br>Job Responsibilities<br><br>Partner directly with stakeholders across finera (commercial, operations, finance, product, risk, compliance) to scope analytical questions, define success criteria, and deliver answers in the form best suited to the audience — Tableau dashboards, Claude-generated artefacts, ad-hoc reports, or written briefs. Independently retrieve, join, and validate data from across finera’s information systems — Postgre SQL databases, Salesforce, Zendesk, Jira/Confluence, Slack, Gmail, processor settlement files, and any other relevant source — without relying on engineering support for routine extraction. Build, maintain, and continuously improve the BI team’s Tableau dashboards and reporting suite, including operational reports, executive dashboards, and recurring management decks. Use AI tooling (Claude and comparable assistants) deliberately as a force multiplier — drafting and validating SQL, accelerating exploratory analysis, generating stakeholder-ready artefacts — while retaining full ownership of correctness, business interpretation, and data quality. Document data sources, business definitions, and analytical methodology so that work is reproducible, auditable, and transferable across the BI team.<br><br>Job Benefits<br><br>Competitive salary package aligned with experience and market standards. Medical Insurance starting from day 1. Access to training resources and development opportunities that support your professional growth. Well-stocked office with snacks, drinks, and refreshments available daily. A multinational organisation that promotes a strong, collaborative culture Regular team-building events and company activities that strengthen collaboration across teams. Employee Recognition Program celebrating our "Employee of the Month" with special perks.

Job Summary:Lead the planning, monitoring, and performance management of the sector's strategic projects and initiatives. The role is responsible for tracking project progress, developing executive dashboards and KPI reports, analyzing performance data, and providing actionable insights to support informed decision-making and successful strategy execution across the sector.<br>Key Responsibilities:Establish and manage an integrated portfolio of strategic projects, ensuring alignment with sector priorities and organizational objectives. Monitor project progress, milestones, risks, dependencies, and overall performance across multiple business units. Develop executive dashboards, performance reports, and visual analytics to support strategic decision-making. Analyze large volumes of data to identify trends, risks, opportunities, and performance insights. Design and maintain KPI frameworks, scorecards, and performance measurement systems. Prepare executive-level reports and presentations for senior leadership. Collaborate with project managers and department heads to ensure timely project delivery and issue resolution. Implement project governance standards, reporting frameworks, and performance management methodologies. Drive continuous improvement by leveraging data analytics, business intelligence, and automation tools.<br>Qualifications & Experience Bachelor's degree in Project Management, Engineering, Business Administration, Information Systems, Data Analytics, or a related field. Master's degree is preferred. PMP certification is highly desirable. Minimum 8–10 years of experience in project management, PMO, strategy execution, or performance management. Strong expertise in Power BI, Excel (Advanced), Power Query, Power Pivot, SQL, or other business intelligence and data visualization tools. Proven experience developing executive dashboards, KPI frameworks, and performance reports. Experience working within government, public sector, or large complex organizations is highly preferred. Excellent analytical, presentation, stakeholder management, and communication skills.<br>We're seeking a strategic thinker with exceptional analytical capabilities who can transform complex data into actionable insights and help drive the successful delivery of key strategic initiatives.

Job Summary:Lead the planning, monitoring, and performance management of the sector's strategic projects and initiatives. The role is responsible for tracking project progress, developing executive dashboards and KPI reports, analyzing performance data, and providing actionable insights to support informed decision-making and successful strategy execution across the sector.<br>Key Responsibilities:Establish and manage an integrated portfolio of strategic projects, ensuring alignment with sector priorities and organizational objectives. Monitor project progress, milestones, risks, dependencies, and overall performance across multiple business units. Develop executive dashboards, performance reports, and visual analytics to support strategic decision-making. Analyze large volumes of data to identify trends, risks, opportunities, and performance insights. Design and maintain KPI frameworks, scorecards, and performance measurement systems. Prepare executive-level reports and presentations for senior leadership. Collaborate with project managers and department heads to ensure timely project delivery and issue resolution. Implement project governance standards, reporting frameworks, and performance management methodologies. Drive continuous improvement by leveraging data analytics, business intelligence, and automation tools.<br>Qualifications & Experience Bachelor's degree in Project Management, Engineering, Business Administration, Information Systems, Data Analytics, or a related field. Master's degree is preferred. PMP certification is highly desirable. Minimum 8–10 years of experience in project management, PMO, strategy execution, or performance management. Strong expertise in Power BI, Excel (Advanced), Power Query, Power Pivot, SQL, or other business intelligence and data visualization tools. Proven experience developing executive dashboards, KPI frameworks, and performance reports. Experience working within government, public sector, or large complex organizations is highly preferred. Excellent analytical, presentation, stakeholder management, and communication skills.<br>We're seeking a strategic thinker with exceptional analytical capabilities who can transform complex data into actionable insights and help drive the successful delivery of key strategic initiatives.

Job Summary:Lead the planning, monitoring, and performance management of the sector's strategic projects and initiatives. The role is responsible for tracking project progress, developing executive dashboards and KPI reports, analyzing performance data, and providing actionable insights to support informed decision-making and successful strategy execution across the sector.<br>Key Responsibilities:Establish and manage an integrated portfolio of strategic projects, ensuring alignment with sector priorities and organizational objectives. Monitor project progress, milestones, risks, dependencies, and overall performance across multiple business units. Develop executive dashboards, performance reports, and visual analytics to support strategic decision-making. Analyze large volumes of data to identify trends, risks, opportunities, and performance insights. Design and maintain KPI frameworks, scorecards, and performance measurement systems. Prepare executive-level reports and presentations for senior leadership. Collaborate with project managers and department heads to ensure timely project delivery and issue resolution. Implement project governance standards, reporting frameworks, and performance management methodologies. Drive continuous improvement by leveraging data analytics, business intelligence, and automation tools.<br>Qualifications & Experience Bachelor's degree in Project Management, Engineering, Business Administration, Information Systems, Data Analytics, or a related field. Master's degree is preferred. PMP certification is highly desirable. Minimum 8–10 years of experience in project management, PMO, strategy execution, or performance management. Strong expertise in Power BI, Excel (Advanced), Power Query, Power Pivot, SQL, or other business intelligence and data visualization tools. Proven experience developing executive dashboards, KPI frameworks, and performance reports. Experience working within government, public sector, or large complex organizations is highly preferred. Excellent analytical, presentation, stakeholder management, and communication skills.<br>We're seeking a strategic thinker with exceptional analytical capabilities who can transform complex data into actionable insights and help drive the successful delivery of key strategic initiatives.

Summary Of The Role<br><br>HR Analyst, Data & Systems<br><br>Working at Dubai, UAE<br><br>This role enables HR and business teams through data analytics, systems integration, and process automation. It is suited for a business-driven analytics professional who can connect data across people, processes, and systems to generate actionable insights and support better decision-making. The focus is on enablement, scalability, and outcomes..<br><br>What You’ll Be Doing<br><br>HR Data & Analytics Management <br><br>Analyze and interpret complex data sets across people, processes, and systems to generate actionable insights and recommendations for HR and business stakeholders. Apply a business and analytics mindset to support decision-making throughout the employee lifecycle, focusing on outcomes and partnering with senior leaders to address key business questions. Various HR and business report consolidation and submission.<br><br>Process Improvement & Operational Efficiency<br><br>Review and enhance HR processes and workflows with a cross-functional perspective and an understanding of end-to-end business process flows to improve employee experience, operational efficiency, and scalability.<br><br>HR Automation & Technology Adoption<br><br>Lead and support the standardization, automation, and optimization of HR processes and systems, including integration of HR databases for analytics and reporting. Drive adoption of HR technology by simplifying solutions, enabling self-service, and collaborating with global and regional teams on HRIS integration and ongoing system initiatives.<br><br>What You’ll Need<br><br>5+ years of experience in analytics, business systems, HR systems, or data-driven roles supporting decision-making. Strong capability in Excel and Microsoft Power Platform (Power BI, Power Apps, Power Automate). Experience working with SAP HR / Success Factors or similar enterprise systems. Strong ability to work across functions, understand unfamiliar processes quickly, and translate business requirements into data solutions. Ability to work effectively under pressure with multiple deliverables. Strong presentation skills including building meaningful materials, presenting effectively to leadership and responding to questions on the fly based on in-role business context and acumen. Effective interpersonal and communication skills and the ability to collaborate with others, and articulate complex messages and requirements. Must be well-organized and very detail-oriented.<br><br><br>What You’ll Get<br><br>Become part of our values – Love the work, Result Count, Take Care, Be Responsible, and Perform as a Team. We are a global team of diverse colleagues who share a passion for excellence and have a culture of trust and empowerment to make our own ideas a reality. We focus on personal and professional development to grow internally within our organization.<br><br><br>Join us on this exciting journey to revolutionize HR through data-driven decision-making. If you're ready to unleash your analytical prowess and elavate our organisation to new heights, apply now!<br><br>WANT TO KNOW MORE?<br><br>Take a look at mammoet.com<br><br><br>#mammoetcareers<br><br>#HRAnlayticsjobs<br><br>#madeformammoet

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>HPE POD (Modular Data Center Solutions)</p><br><br>This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.<br><br><p><b>Who We Are:</b></p><br><br><p>Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world.&nbsp;Our culture thrives on&nbsp;finding new and better ways to accelerate what’s next.&nbsp;We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.&nbsp;We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.&nbsp;Open up opportunities with HPE.</p><br><br><br><br><p><b>Job Description:</b></p><br><br><br><p>Job Family Definition</p><br><br><p>Develop and grow the HPE Modular Data Center (POD) and AI infrastructure business by leading business development activities with external customers, strategic partners, and internal sales teams. Responsible for identifying, shaping, and converting opportunities for modular data center solutions designed to support high-performance computing (HPC), AI infrastructure, cloud services, and enterprise workloads.</p><br><br><p>Maintains strong knowledge of leading-edge data center technologies including liquid cooling, GPU-accelerated infrastructure, modular construction methodologies, and AI factory architectures. Contributes to the company’s solutions portfolio by translating customer requirements into scalable POD solutions and by providing market insight to influence product strategy and portfolio evolution.</p><br><br><p>Responsible for generating new business opportunities, supporting the full sales lifecycle, and enabling successful deal execution across UKIMEA. Works closely with account teams, solution architects, supply chain, and the delivery organization to ensure successful positioning and execution of HPE modular infrastructure solutions.</p><br><br><p>Contributes directly to revenue growth, pipeline development, and customer satisfaction while supporting the expansion of the HPE POD ecosystem in UKIMEA</p><br><br><br><p>Management Level Definition</p><br><br><p>Contributions impact the strategic growth and adoption of HPE modular data center solutions and related AI infrastructure offerings.</p><br><br><p>Applies advanced domain expertise in modular data center infrastructure, HPC environments, and large-scale AI deployments to solve complex customer challenges and shape infrastructure strategy.</p><br><br><p>Acts as a recognized subject matter expert in POD-based infrastructure solutions and participates in cross-functional initiatives spanning sales, product management, supply chain, and the delivery organization.</p><br><br><p>Exercises significant independent judgment to identify opportunities, structure deals, and guide customers toward scalable infrastructure solutions. May provide leadership and mentorship to local teams and partner organizations.</p><br><br><br><p>Responsibilities</p><br><br><br><p>Drive business development activities for HPE POD and modular data center solutions across targeted industries including AI, education, research, and enterprise environments.</p><br><br><p>Identify, qualify, and develop new opportunities for modular data center deployments including AI factory infrastructure, HPC clusters, GPU environments, and edge data center solutions.</p><br><br><p>Lead engagement with customers to understand technical, operational, and business requirements for large-scale data center deployments and translate these into POD-based solutions.</p><br><br><p>Work closely with HPE account teams, solution architects, and partners to develop end-to-end proposals including infrastructure architecture, modular facility design, and lifecycle services.</p><br><br><p>Act as a trusted advisor to customer executives, infrastructure teams, and decision makers on modern data center architecture, capacity scaling strategies, and AI-ready infrastructure.</p><br><br><p>Coordinate cross-functional resources including engineering, supply chain, manufacturing partners, and delivery teams to ensure solutions are feasible, scalable, and aligned with customer timelines.</p><br><br><p>Lead or support major proposal efforts and RFP responses for modular data center solutions, including technical positioning, commercial structuring, and value articulation.</p><br><br><p>Support the creation of detailed solution architectures including modular data center configurations, cooling strategies (air and liquid).</p><br><br><p>Develop and maintain relationships with strategic ecosystem partners including cooling technology providers, modular construction manufacturers, and infrastructure integrators.</p><br><br><p>Provide market intelligence and customer feedback to influence the evolution of the HPE POD portfolio.</p><br><br><p>Represent HPE in customer engagements, industry forums, and conferences related to modular infrastructure, HPC data centers.</p><br><br><p>Drive pipeline growth, revenue generation, and long-term strategic partnerships aligned to the HPE POD portfolio.</p><br><br><br><p>Education and Experience Required</p><br><br><br><p>Bachelor’s degree in Business, engineering, computer science, or related technical field, or equivalent industry experience.</p><br><br><p>Typically 6+ years of professional experience in data center infrastructure, HPC environments, modular infrastructure, or enterprise technology solutions.</p><br><br><p>Experience in business development, solution sales, or infrastructure consulting within enterprise IT, cloud, or data center industries.</p><br><br><p>Experience engaging with senior technical and executive stakeholders on infrastructure strategy and large-scale technology investments.</p><br><br><p>Experience supporting complex infrastructure deals involving multiple stakeholders, partners, and delivery organizations.</p><br><br><br><p>Knowledge and Skills:</p><br><br><br><p>Strong understanding of modern data center architecture including:</p><br><br><br><p>• Modular data centers and containerized infrastructure</p><br><br><p>• High-density GPU and HPC environments</p><br><br><p>• Liquid cooling and advanced thermal management</p><br><br><p>• AI infrastructure and accelerated computing platforms</p><br><br><p>• Enterprise and hyperscale data center operations</p><br><br><br><p>Ability to translate complex technical infrastructure concepts into business value and strategic outcomes for customers.</p><br><br><br><p>Strong commercial acumen with the ability to structure large infrastructure deals and navigate enterprise procurement processes.</p><br><br><br><p>Experience working across multi-technology environments including compute, networking, storage, cooling systems, and facility infrastructure.</p><br><br><br><p>Ability to develop scalable infrastructure solutions that enhance performance, efficiency, and time-to-deployment for AI and HPC workloads.</p><br><br><br><p>Develop and grow the HPE Modular Data Center (POD) and AI infrastructure business by leading business development activities with external customers, strategic partners, and internal sales teams. Responsible for identifying, shaping, and converting opportunities for modular data center solutions designed to support high-performance computing (HPC), AI infrastructure, cloud services, and enterprise workloads.</p><br><br><br><p>Acts as a trusted advisor to customers and internal stakeholders by aligning HPE’s modular data center portfolio with customer business outcomes, technical requirements, and growth strategies. Maintains strong relationships with senior customer executives, partners, and ecosystem vendors to drive adoption of POD-based solutions.</p><br><br><br><p>Maintains strong knowledge of leading-edge data center technologies including liquid cooling, GPU-accelerated infrastructure, modular construction methodologies, and AI factory architectures. Contributes to the company’s solutions portfolio by translating customer requirements into scalable POD solutions and by providing market insight to influence product strategy and portfolio evolution.</p><br><br><br><p>#Unitedarabemirates</p><br><br><p>#Unitedkingdom</p><br><br><br><br><p><b>Additional Skills:</b></p><br><br>Accountability, Accountability, Active Learning, Active Listening, Bias, Business Growth, Client Expectations Management, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Customer Centric Solutions, Customer Relationship Management (CRM), Design Thinking, Empathy, Follow-Through, Growth Mindset, Information Technology (IT) Infrastructure, Infrastructure as a Service (IaaS), Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Process Improvements, Product Services, Relationship Building {+ 5 more}<br><br><p><b>What We Can Offer You:</b></p><br><br><p><b>Health &amp; Wellbeing</b></p><br><br><p>We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.</p><br><br><br><p><b>Personal &amp; Professional Development</b></p><br><br><p>We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.</p><br><br><br><p><b>Unconditional Inclusion</b></p><br><br><p>We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.</p><br><br><br><br><p><b>Let's Stay Connected:</b></p><br><br><p><span>Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. </span></p><br><br><br><br><br><br><p><b>Job:</b></p><br><br>Services<p><b>Job Level:</b></p><br><br>TCP_05<br><br><p><span>HPE is an Equal Employment Opportunity/ <span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span>Veterans/Disabled/LGBT</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span> employer. We do not discriminate </span><span>on the basis of race, gender, or any other protected category,</span> <span>and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: </span>Equal Employment Opportunity<span>.</span></p><br><br><p><b><span>Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.</span></b></p><br><br><br><p><span>HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.</span></p><br><br><br><p><b>Recruitment Fraud Alert</b></p><br><br><br><p>We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.</p><br><br><br><p>All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.</p><br><br><br> </div>

Description<br><br>AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.<br><br>You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.<br><br>AWS have an exciting Data Center Project Manager opportunity in Dubai available for a UAE national with family book. AWS are committed to contributing towards the UAE’s goal of employing 75,000 Emiratis in the private sector and Ministerial Resolution No.279.<br><br>The Critical Projects Implementation (CPI) team is a project management and execution team that manages construction activity within the operational data center spaces. The CPI team is tasked with critical infrastructure improvement projects to optimize utilization of space, power, and cooling within operation data centers around the globe. These activities are outside of the scope of standard construction delivery and regular preventative maintenance tasks.<br><br>We are currently seeking a Data Center Project Manager to serve as a technical resource within Amazon data centers. You will be part of a highly creative, efficient team tasked with tackling the most fascinating and challenges in designing, building, and operating Amazon data facilities. The Project Manager is ultimately responsible for project oversight and review of all disciplines including electrical, mechanical, controls, and architectural. A fundamental understanding of these systems is required, as the individual will be expected to identify areas for improvement as well as act on data provided from other team and organizations.<br><br>Our DC Project Managers design, develop and deploy innovative solutions to address operational challenges. They work independently as well as the ability to work within multi-disciplinary teams. The scope of projects will include but not limited to the improvement of electrical, mechanical, fire detection and building automation system. The Project Manager is responsible for the overall direction, coordination, implementation, execution, control and completion of specific projects ensuring consistency with company strategy, commitments and goals.<br><br>If you are passionate about the Customer Experience; you think big; and you want to contribute to the operational excellence of Amazon data centers then this may be the challenge you’ve been looking for!<br><br>Key job responsibilities<br><br> Project management and oversight of construction related activities as they relate to modifying existing infrastructure for the purpose of installing new or to replace end of life equipment. This will include the ownership of the project scope, timeline, and budget. Provide project management for specific initiatives aimed at increasing the resiliency of our data centers. Electrical design and review of designs associated with the optimization of existing data centers. Construction/project package drawing review. Creation of project scope, request for proposals, and capital requests. Total project quality including the creation of a commissioning plan and oversight of the execution. Recording and reporting key metrics to team members and management. Operational support including review of procedures, best practices, and maintenance initiatives. Drive teams to perform troubleshooting and root cause failure analysis associated with equipment or electrical failures. Work with contractors and vendors to deliver efficient and high quality project turnovers. Be a leader within the group as well as within internal and external teams that support the data center.<br><br>A day in the life<br><br>You will be part of a highly creative, efficient team tasked with tackling the most fascinating and challenges in designing, building, and operating Amazon data facilities. The Project Manager is ultimately responsible for project oversight and review of all disciplines including electrical, mechanical, controls, and architectural. A fundamental understanding of these systems is required, you will be expected to identify areas for improvement as well as act on data provided from other team and organizations. Ideal candidates will possess the ability to design, develop and deploy innovative solutions to address operational challenges. This role requires both independent contribution as well as the ability to work within multi-disciplinary teams. The scope of projects will include but not limited to the improvement of electrical, mechanical, fire detection and building automation system. The Project Manager is responsible for the overall direction, coordination, implementation, execution, control and completion of specific projects ensuring consistency with company strategy, commitments and goals.<br><br>If you are passionate about the Customer Experience; you think big; and you want to contribute to the operational excellence of Amazon data centers then this may be the opportunity you’ve been looking for!<br><br>About The Team<br><br>Diverse Experiences<br><br>AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.<br><br>Why AWS?<br><br>Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br><br>Work/Life Balance<br><br>We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.<br><br>Inclusive Team Culture<br><br>Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and Amaze Con (gender diversity) conferences, inspire us to never stop embracing our uniqueness.<br><br>Mentorship & Career Growth<br><br>We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br><br>Basic Qualifications<br><br> 3+ years of vendor management experience 4+ years of relevant work in a data center or other critical environment experience 5+ years of data center engineering or operations experience 5+ years of Microsoft Office including Outlook, Word, and Excel experience Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field Experience in vendor management Experience in a data center or other critical environment Experience in data center engineering or operations Experience with Microsoft Office including Outlook, Word, and Excel<br><br>Preferred Qualifications<br><br> 3+ years of construction or project management experience Electrical or mechanical Journeyman License operating engineering license such as DC II, DC III, or equivalent Experience in construction or project management<br><br>Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.<br><br><br>Company - Amazon Data Services Emirates LLC - Dubai Branch<br><br>Job ID: A10399428

Role: Data Scientist - AI/ML (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $100/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist (ML) to work on a contract basis. The role involves developing and deploying machine learning models to improve predictive accuracy for client datasets. You will collaborate with cross-functional teams to identify data-driven solutions and automate workflows.<br>Key Responsibilities:• Design, train, and optimize machine learning models for classification, regression, and clustering tasks.• Preprocess and analyze large-scale structured and unstructured datasets to extract actionable insights.• Implement and maintain MLOps pipelines for model deployment, monitoring, and retraining.• Develop and document reproducible experiments using Python, Jupyter notebooks, and version control systems.• Present findings and recommendations to stakeholders through clear visualizations and technical reports.<br>Required Skills & Qualifications:• Proficiency in Python and relevant libraries such as scikit-learn, Tensor Flow, or PyTorch.• Experience with SQL for data extraction, transformation, and analysis.• Strong background in statistical modeling and experimental design.• Familiarity with cloud platforms including AWS, GCP, or Azure for model deployment.• Ability to work independently in a remote environment with minimal supervision.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the scalability of AI-driven solutions. You will gain exposure to cutting-edge tools and collaborate with experts in data science and engineering.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Scientist - AI/ML (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $100/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist (ML) to work on a contract basis. The role involves developing and deploying machine learning models to improve predictive accuracy for client datasets. You will collaborate with cross-functional teams to identify data-driven solutions and automate workflows.<br>Key Responsibilities:• Design, train, and optimize machine learning models for classification, regression, and clustering tasks.• Preprocess and analyze large-scale structured and unstructured datasets to extract actionable insights.• Implement and maintain MLOps pipelines for model deployment, monitoring, and retraining.• Develop and document reproducible experiments using Python, Jupyter notebooks, and version control systems.• Present findings and recommendations to stakeholders through clear visualizations and technical reports.<br>Required Skills & Qualifications:• Proficiency in Python and relevant libraries such as scikit-learn, Tensor Flow, or PyTorch.• Experience with SQL for data extraction, transformation, and analysis.• Strong background in statistical modeling and experimental design.• Familiarity with cloud platforms including AWS, GCP, or Azure for model deployment.• Ability to work independently in a remote environment with minimal supervision.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the scalability of AI-driven solutions. You will gain exposure to cutting-edge tools and collaborate with experts in data science and engineering.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Annotation Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $105 - $140/hour<br>Role Overview:We are hiring for one of our clients, seeking a Privacy Annotation Specialist to work on a contract basis. The role involves reviewing and annotating data to ensure compliance with privacy regulations and internal policies. Responsibilities include identifying sensitive information, applying privacy labels, and documenting decisions for quality assurance.<br>Key Responsibilities:• Review and annotate text, images, or audio data to classify and label privacy-sensitive content.• Apply privacy tags and metadata according to predefined guidelines and regulatory requirements.• Validate annotations for accuracy and consistency across datasets.• Document annotation decisions and rationale to support compliance audits.• Collaborate with cross-functional teams to refine annotation guidelines and improve processes.<br>Required Skills & Qualifications:• Experience with data annotation, labeling, or content moderation in a privacy-focused context.• Familiarity with privacy regulations such as GDPR, CCPA, or HIPAA.• Attention to detail and ability to follow structured annotation guidelines.• Proficiency in using annotation tools or platforms for data labeling.• Strong written communication skills to document decisions and rationale.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of privacy-respecting AI systems. 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!

Role: Data Scientist - AI/ML (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $100/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist (ML) to work on a contract basis. The role involves developing and deploying machine learning models to improve predictive accuracy for client datasets. You will collaborate with cross-functional teams to identify data-driven solutions and automate workflows.<br>Key Responsibilities:• Design, train, and optimize machine learning models for classification, regression, and clustering tasks.• Preprocess and analyze large-scale structured and unstructured datasets to extract actionable insights.• Implement and maintain MLOps pipelines for model deployment, monitoring, and retraining.• Develop and document reproducible experiments using Python, Jupyter notebooks, and version control systems.• Present findings and recommendations to stakeholders through clear visualizations and technical reports.<br>Required Skills & Qualifications:• Proficiency in Python and relevant libraries such as scikit-learn, Tensor Flow, or PyTorch.• Experience with SQL for data extraction, transformation, and analysis.• Strong background in statistical modeling and experimental design.• Familiarity with cloud platforms including AWS, GCP, or Azure for model deployment.• Ability to work independently in a remote environment with minimal supervision.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the scalability of AI-driven solutions. You will gain exposure to cutting-edge tools and collaborate with experts in data science and engineering.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Scientist - AI/ML (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $100/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist (ML) to work on a contract basis. The role involves developing and deploying machine learning models to improve predictive accuracy for client datasets. You will collaborate with cross-functional teams to identify data-driven solutions and automate workflows.<br>Key Responsibilities:• Design, train, and optimize machine learning models for classification, regression, and clustering tasks.• Preprocess and analyze large-scale structured and unstructured datasets to extract actionable insights.• Implement and maintain MLOps pipelines for model deployment, monitoring, and retraining.• Develop and document reproducible experiments using Python, Jupyter notebooks, and version control systems.• Present findings and recommendations to stakeholders through clear visualizations and technical reports.<br>Required Skills & Qualifications:• Proficiency in Python and relevant libraries such as scikit-learn, Tensor Flow, or PyTorch.• Experience with SQL for data extraction, transformation, and analysis.• Strong background in statistical modeling and experimental design.• Familiarity with cloud platforms including AWS, GCP, or Azure for model deployment.• Ability to work independently in a remote environment with minimal supervision.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the scalability of AI-driven solutions. You will gain exposure to cutting-edge tools and collaborate with experts in data science and engineering.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Scientist - AI/ML (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $100/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist (ML) to work on a contract basis. The role involves developing and deploying machine learning models to improve predictive accuracy for client datasets. You will collaborate with cross-functional teams to identify data-driven solutions and automate workflows.<br>Key Responsibilities:• Design, train, and optimize machine learning models for classification, regression, and clustering tasks.• Preprocess and analyze large-scale structured and unstructured datasets to extract actionable insights.• Implement and maintain MLOps pipelines for model deployment, monitoring, and retraining.• Develop and document reproducible experiments using Python, Jupyter notebooks, and version control systems.• Present findings and recommendations to stakeholders through clear visualizations and technical reports.<br>Required Skills & Qualifications:• Proficiency in Python and relevant libraries such as scikit-learn, Tensor Flow, or PyTorch.• Experience with SQL for data extraction, transformation, and analysis.• Strong background in statistical modeling and experimental design.• Familiarity with cloud platforms including AWS, GCP, or Azure for model deployment.• Ability to work independently in a remote environment with minimal supervision.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the scalability of AI-driven solutions. You will gain exposure to cutting-edge tools and collaborate with experts in data science and engineering.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Annotation Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $105 - $140/hour<br>Role Overview:We are hiring for one of our clients, seeking a Privacy Annotation Specialist to work on a contract basis. The role involves reviewing and annotating data to ensure compliance with privacy regulations and internal policies. Responsibilities include identifying sensitive information, applying privacy labels, and documenting decisions for quality assurance.<br>Key Responsibilities:• Review and annotate text, images, or audio data to classify and label privacy-sensitive content.• Apply privacy tags and metadata according to predefined guidelines and regulatory requirements.• Validate annotations for accuracy and consistency across datasets.• Document annotation decisions and rationale to support compliance audits.• Collaborate with cross-functional teams to refine annotation guidelines and improve processes.<br>Required Skills & Qualifications:• Experience with data annotation, labeling, or content moderation in a privacy-focused context.• Familiarity with privacy regulations such as GDPR, CCPA, or HIPAA.• Attention to detail and ability to follow structured annotation guidelines.• Proficiency in using annotation tools or platforms for data labeling.• Strong written communication skills to document decisions and rationale.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of privacy-respecting AI systems. 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!

Role: Data Scientist - AI/ML (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $100/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist (ML) to work on a contract basis. The role involves developing and deploying machine learning models to improve predictive accuracy for client datasets. You will collaborate with cross-functional teams to identify data-driven solutions and automate workflows.<br>Key Responsibilities:• Design, train, and optimize machine learning models for classification, regression, and clustering tasks.• Preprocess and analyze large-scale structured and unstructured datasets to extract actionable insights.• Implement and maintain MLOps pipelines for model deployment, monitoring, and retraining.• Develop and document reproducible experiments using Python, Jupyter notebooks, and version control systems.• Present findings and recommendations to stakeholders through clear visualizations and technical reports.<br>Required Skills & Qualifications:• Proficiency in Python and relevant libraries such as scikit-learn, Tensor Flow, or PyTorch.• Experience with SQL for data extraction, transformation, and analysis.• Strong background in statistical modeling and experimental design.• Familiarity with cloud platforms including AWS, GCP, or Azure for model deployment.• Ability to work independently in a remote environment with minimal supervision.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the scalability of AI-driven solutions. You will gain exposure to cutting-edge tools and collaborate with experts in data science and engineering.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Scientist - AI/ML (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $100/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist (ML) to work on a contract basis. The role involves developing and deploying machine learning models to improve predictive accuracy for client datasets. You will collaborate with cross-functional teams to identify data-driven solutions and automate workflows.<br>Key Responsibilities:• Design, train, and optimize machine learning models for classification, regression, and clustering tasks.• Preprocess and analyze large-scale structured and unstructured datasets to extract actionable insights.• Implement and maintain MLOps pipelines for model deployment, monitoring, and retraining.• Develop and document reproducible experiments using Python, Jupyter notebooks, and version control systems.• Present findings and recommendations to stakeholders through clear visualizations and technical reports.<br>Required Skills & Qualifications:• Proficiency in Python and relevant libraries such as scikit-learn, Tensor Flow, or PyTorch.• Experience with SQL for data extraction, transformation, and analysis.• Strong background in statistical modeling and experimental design.• Familiarity with cloud platforms including AWS, GCP, or Azure for model deployment.• Ability to work independently in a remote environment with minimal supervision.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the scalability of AI-driven solutions. You will gain exposure to cutting-edge tools and collaborate with experts in data science and engineering.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Data Scientist - AI/ML (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $100/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist (ML) to work on a contract basis. The role involves developing and deploying machine learning models to improve predictive accuracy for client datasets. You will collaborate with cross-functional teams to identify data-driven solutions and automate workflows.<br>Key Responsibilities:• Design, train, and optimize machine learning models for classification, regression, and clustering tasks.• Preprocess and analyze large-scale structured and unstructured datasets to extract actionable insights.• Implement and maintain MLOps pipelines for model deployment, monitoring, and retraining.• Develop and document reproducible experiments using Python, Jupyter notebooks, and version control systems.• Present findings and recommendations to stakeholders through clear visualizations and technical reports.<br>Required Skills & Qualifications:• Proficiency in Python and relevant libraries such as scikit-learn, Tensor Flow, or PyTorch.• Experience with SQL for data extraction, transformation, and analysis.• Strong background in statistical modeling and experimental design.• Familiarity with cloud platforms including AWS, GCP, or Azure for model deployment.• Ability to work independently in a remote environment with minimal supervision.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the scalability of AI-driven solutions. You will gain exposure to cutting-edge tools and collaborate with experts in data science and engineering.<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!