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data quality engineer (databricks) Jobs in Dubai

data quality engineer (databricks)

senior data engineer

senior fraud data scientist Jobs in Dubai

senior fraud data scientist

senior data mining analyst

DICETEK LLC

<div><h1 class="jobSectionHeader">Role Purpose</h1>
The Senior Data Scientist will lead the development, optimization, and deployment of advanced card fraud detection models for issuing and acquiring businesses. This role involves end-to-end model lifecycle management, including training, hosting, evaluation, and deployment using SAS SFD and modern MLOps practices. The candidate will work closely with fraud risk, data engineering, and technology teams to ensure robust, scalable, and high-performing solutions.<h1 class="jobSectionHeader">
Key Responsibilities</h1><ul><li>Card Fraud Model Development &amp; Optimization: Design, develop, and optimize card fraud detection models for issuing and acquiring portfolios. Implement advanced statistical, machine learning, and AI techniques to improve fraud detection accuracy and precision and minimizing false positives.</li><li>Model Hosting &amp; Deployment: Deploy models using SAS SFD and integrate with production systems. Ensure seamless hosting and scalability of models across multiple environments.</li><li>MLOps &amp; Automation: Establish and maintain MLOps pipelines for continuous integration, deployment, and monitoring of fraud models. Automate model retraining and performance tracking processes.</li><li>Evaluation &amp; Testing: Conduct rigorous model validation, stress testing, and performance benchmarking. Collaborate with fraud operations teams to ensure models meet business and regulatory requirements.</li><li>Collaboration &amp; Stakeholder Management: Partner with fraud risk, data engineers, IT and business teams to deliver end-to-end solutions. Communicate insights and recommendations to senior management and business stakeholders.</li></ul><h1 class="jobSectionHeader"> 
Required Skills &amp; Qualifications</h1><ul><li>Education: Master&rsquo;s or Ph.D. in Data Science, Statistics, Computer Science, or related field.</li><li>Technical Skills: Strong proficiency in SAS (including SAS SFD), Python, and SQL. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines). Deep understanding of card fraud detection techniques and transaction data.</li><li>Experience: 7+ years in data science roles, with at least 3 years in card fraud modeling. Proven track record of deploying models in production environments.</li><li>Soft Skills: Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities.</li></ul><h1 class="jobSectionHeader"> 
Preferred Qualifications</h1><ul><li>Experience in banking or payments industry.</li><li>Familiarity with cloud platforms (AWS, Azure, GCP) for model hosting and deployment.</li><li>Knowledge of regulatory compliance in fraud risk management.</li></ul></div>

Senior Fraud Data Scientist

Yassir

<div>
 
 About Yassir
 
 
 
 Yassir is the Super App designed to make your life easier. Yassir&rsquo;s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. We aspire towards providing our users with the most essential services to their door by leveraging technology and a large ecosystem of partners. We at Yassir stand for: Ambition, Transparency &amp; Trust, Quality, Performance. And we are growing fast - super fast.By choosing a career at Yassir, you choose to be part of one of the most impactful, fastest-growing Tech companies in Africa.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Yassir is seeking a highly skilled and motivated Data Scientist, of any level, to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Dynamic Pricing and Trip Dispatching. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir&rsquo;s most critical problems
 
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 <ul>
 <li>
 The AI team is part of Yassir&rsquo;s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to build state-of-the-art Data and ML infrastructure and solutions, and ultimately a Data Culture supported by responsible and democratized data access, data-driven decision making and automation. We push the envelope of what&rsquo;s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!
 
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it
 </li>
 <li>
 Some key areas we have to focus include: optimizing our Pricing capabilities, such as Dynamic / Surge Pricing, Discounts / Commissioning Optimization and Personalized Pricing, optimizing our Dispatching capabilities, optimizing our Fraud Detection / Revenue Leakage Prevention capabilities, optimizing our Recommendations / Personalization capabilities, amongst others
 </li>
 <li>
 Identify and propose ML opportunities related to your scope and beyond
 </li>
 <li>
 Support with requirements definition and prioritization of ML projects
 </li>
 <li>
 Collaborate with cross-functional Engineering and Product teams
 </li>
 <li>
 Champion Data Quality as a critical input component to all ML solutions and Analytics
 </li>
 <li>
 Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering
 </li>
 <li>
 Utilize Statistical and ML techniques, as appropriate, for model training
 </li>
 <li>
 Validate and tune ML models
 </li>
 <li>
 Visualize analysis / modelling results focusing on meaningful, actionable metrics and insights
 </li>
 <li>
 Deploy and test ML applications using our MLOps infrastructureMonitor ML models on their technical performance, business impact and underlying data / concept drift
 </li>
 <li>
 Explain technical solutions in a business-friendly manner, supporting Product teams in their communications and reporting
 </li>
 <li>
 Maintain and improve technical documentation of delivered solutions
 </li>
 <li>
 Support the Data &amp; AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teams
 </li>
 <li>
 Champion Data Culture, proactively share knowledge across teams, and participate and drive team building activities
 
 
 
 </li>
 </ul>
 
 Key Requirements - Essential
 
 
 
 <ul>
 <li>
 Solid Mathematical / Statistical / Machine Learning as well as Software Development technical skills - supported by a Masters degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Operational Research, Computer Science, Software Engineering, Physics
 </li>
 <li>
 Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 2 years of industry experience (more years of experience would be required for more Senior roles)
 </li>
 <li>
 Comfortable with key software engineering concepts, such as code / memory profiling, code optimization, scalability, code / QA testing, cost optimization and associated best practices
 </li>
 <li>
 Comfortable with key Statistical concepts, such as statistical testing and causal analysis
 </li>
 <li>
 Analytical thinking and problem solving skills
 </li>
 <li>
 Engineering mindset focused towards delivering robust applied data science solutions
 </li>
 <li>
 Visualization skills, including experience with common Python ecosystem libraries and/or Analytics / BI tooling
 </li>
 <li>
 Familiarity and prior use of Cloud solutions and their data / ML services - at Yassir we use Google Cloud Platform (GCP), experience with which is highly preferred
 </li>
 <li>
 Mastering of the end-to-end (ML) model development lifecycle
 </li>
 <li>
 Excellent communication skills, including presentation and oral / written communication (clear articulation, concise documentation) in professional English
 </li>
 <li>
 Positive attitude and resilience
 </li>
 <li>
 Strong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships building
 </li>
 <li>
 Internal drive, self-motivation and ability to work independently including own effective project management
 
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with On-demand, Mobility or Financial Services companies
 </li>
 <li>
 Experience working on ML features for Digital Products (apps, websites)
 </li>
 <li>
 Experience with one or more from: Pricing / Economics related projects and/or modelling techniques (we welcome Economics / Econometrics backgrounds and experience), Fraud Detection related projects, Dispatching related projects, Personalization related projects
 
 
 
 </li>
 </ul>
 
 Join the ride!
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Mid/Senior - Data Scientist

TALENTMATE

<div>
 
 Job Description
 
 
 
 
 Job Description
 
 
 
 
 Overview
 
 
 
 
 About Presight
 
 
 
 Presight is an ADX-listed public company with Abu Dhabi based G42 as its majority shareholder and is the region&rsquo;s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of GenAI-driven products and solutions, Presight is bringing Applied AI to the private and public sector, enabling them to realize their AI strategy and ambitions faster.
 
 
 
 The Opportunity
 
 
 
 Presight is looking for an astute, proficient and qualified Senior Data Engineer to assess, analyze and work with data concepts, use-cases &amp; complex new data sources to provide business insights to customers and support the implementation &amp; integration of the data sources into the Presight platform.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Solve challenging problems, using python coding skills.
 </li>
 <li>
 Design, build and launch new data extraction, transformation &amp; loading processes in production.
 </li>
 <li>
 Web crawling, data cleaning, data annotation, data ingestion and data processing.
 </li>
 <li>
 Reading and collating complex data sets.
 </li>
 <li>
 Creating and maintaining data pipelines.
 </li>
 <li>
 Continual focus on process improvement to drive efficiency and productivity within the team.
 </li>
 <li>
 Use of Python, SQL, ES, Shell etc. to build the infrastructure required for optimal extraction, transformation, and loading of data.
 </li>
 <li>
 Provide insights into key business performance metrics by building analytical tools that utilize the data pipeline.
 </li>
 <li>
 Support the wider business with their data needs on an ad hoc basis.
 </li>
 <li>
 Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management and Governance of Organizations policies, procedures, plans and related risk assessments.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in computer engineering, Computer Science, or Electrical Engineering and Computer Sciences.
 </li>
 <li>
 6+ years of programming experience, solid coding skills in Python, Shell, and Java
 </li>
 <li>
 Good corporate capacity, good communication skills.
 </li>
 <li>
 Experience with Web crawling, cleaning.
 </li>
 <li>
 Experience with solution architecture, data ingestion, query optimization, data segregation, ETL, ELT, AWS, EC2, S3, SQS, lambda, Elastic Search, Redshift, CI/CD frameworks and workflows.
 </li>
 <li>
 Working knowledge of data platform concepts - data lake, data warehouse, ETL, big data processing (designing and supporting variety/velocity/volume), real time processing architecture for data platforms, scheduling and monitoring of ETL/ELT jobs
 </li>
 <li>
 PostgreSQL and programming (preferably Java, Python), proficiency in understanding data, entity relationships, structured &amp; unstructured data, SQL and NoSQL databases
 </li>
 <li>
 Knowledge of best practice in optimizing columnar and distributed data processing system and infrastructure
 </li>
 <li>
 Experienced in designing and implementing dimensional modelling
 </li>
 <li>
 Knowledge of machine learning and data mining techniques in one or more areas of statistical modelling, text mining and information retrieval.
 
 
 </li>
 </ul>
 Job Details
 
 
 Role Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: https://www.presight.ai Job Function: Data Science &amp; AI Company Industry/
 
 
 Sector: Other
 
 
 What We Offer
 
 
 
 About The Company
 
 
 
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 
 
 Report
 
 
 Disclaimer: talentmate.com is only a platform to bring jobseekers &amp; employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.
</div>

Senior Data Engineer

Dubai Financial Services Authority (DFSA)

<div>
 
 This role is open to UAEN applicants.
 
 
 
 
 
 
 Role:
 
 
 
 The Senior Analyst, Infrastructure will spend the significant part of their time performing Regulatory Transactions within the Supervision Division. This role will be responsible for ensuring that the Regulatory Transactions are completed in a timely and efficient manner in accordance with the risk associated with such transactions. In addition, this role would provide administrative supports, such as handling external enquiries, internal coordination and data maintenance for the entire Supervision division.
 
 
 
 
 
 
 Regulatory Transactions
 
 
 
 The Supervision Division receives a variety of Regulatory Transactions from the regulated entities submitted using the DFSA ePortal, located on the DFSA website.
 
 
 
 
 
 Each application submitted to the Supervision Division is reviewed to determine its level of complexity and the associated effort required to complete the task(s). The candidate will be responsible for executing high volumes of Regulatory Transactions for example:
 
 
 
 
 <ul>
 <li>
 Authorised Individual approvals, including new applications, applications to amend the status of an existing Authorised Individual or withdrawing an Authorised Individual.
 </li>
 <li>
 Changes to the Controllers of a regulated entity i.e. changes to shareholding.
 </li>
 <li>
 Changes to the Scope of activities, a regulated entity is licensed to undertake.
 </li>
 <li>
 Modification to or waiving DFSA rules for a regulated entity&rsquo;s particular circumstances.
 </li>
 <li>
 Withdrawing a regulated entity&rsquo;s licence / registration with the DFSA.
 </li>
 </ul>
 
 
 
 
 The Senior Analyst, Infrastructure will play an important role in assessing the complexity of these transactions and making appropriate risk-based decisions.
 
 
 
 
 
 
 Supervision of regulated entities
 
 
 
 A Senior Analyst, Infrastructure will also be a junior regulator focusing primarily in these areas:
 
 
 
 
 <ul>
 <li>
 Complete to a high standard allocated work stream. These will vary in nature/complexity but mainly related to the risk-based supervision of regulated entities.
 </li>
 <li>
 Obtaining/processing data to display required outputs i.e., general management information or the highlighting of risks.
 </li>
 <li>
 Support and/or contribute to regulated entities&rsquo; risk monitoring and ensure compliance with supervisory service standards, processes and procedures.
 </li>
 <li>
 Handle regulated entities enquires to the Division.
 </li>
 <li>
 Support and/or contribute towards desk-based (off-site) reviews and thematic-event-driven reviews.
 </li>
 <li>
 Calculating the required fees levied upon firms for various regulatory purposes.
 </li>
 <li>
 Maintain the internal system records on regulated entities timely and accurately.
 </li>
 <li>
 Working on projects, namely around IT/systems development.
 </li>
 <li>
 Conduct due diligence assessments on firms/individuals using specialist software.
 </li>
 </ul>
 
 
 
 
 
 Production of Management Information
 
 
 
 Produce Management Information on Supervision activities for use by both the DFSA Executives and the Board by designing, creating, implementing and maintain accurate reports. Production of reports will be on a routine (standard) and demand (non-standard) basis. Reports will need to be flexible and accommodate changes or amended requirements.
 
 
 
 
 
 
 Educational Background
 
 
 <ul>
 <li>
 University degree in a relevant field (e.g. Finance, Engineering, IT) is preferred.
 </li>
 <li>
 Evidence of continuing professional education relevant to target position would be considered a plus.
 </li>
 </ul>
 
 
 
 
 
 Professional Experience
 
 
 <ul>
 <li>
 Minimum of 2-3 years of experience with a broadly equivalent role. DIFC experience would be considered a plus.
 </li>
 <li>
 Data analytical skills will be considered as an advantage.
 </li>
 </ul>
 
 
 
 
 
 Knowledge, Skills &amp; Attributes
 
 
 <ul>
 <li>
 A good knowledge of the financial services industry and its unique characteristics.
 </li>
 <li>
 Good understanding of the responsibilities/role of the regulator and appreciation of what it means to be a risk-based regulator.
 </li>
 <li>
 IT skills especially Business Intelligence software such as Microsoft Power BI, Dynamics 365, etc. with the ability to use the DFSA&rsquo;s data for analysis, reports, and alerts.
 </li>
 <li>
 Knowledge of AML due diligence software.
 </li>
 <li>
 Excellent research and analytical skills with ability to apply judgment.
 </li>
 <li>
 Good time management skills embodied in a professional, diplomatic and ethical attitude.
 </li>
 <li>
 Good communication and presentation skills.
 </li>
 <li>
 Stakeholder management skills, including ability to engage effectively and confidently with international counterparts.
 </li>
 <li>
 Be able to work flexibly, autonomously, and co-operatively in a collaborative team environment.
 </li>
 <li>
 Willingness to expand technical knowledge through accredited training.
 </li>
 </ul>
 
 
</div>

Senior Analyst, Infrastructure, Supervision (UAEN)

Hermès

<div>
 
 Job Title: D
 
 
 ata analyst
 
 
 
 
 REPORTS TO: SENIOR RETAIL EXCELLENCE MANAGER
 
 
 
 
 Location: DUBAI
 
 
 
 
 Organisation unit: Hermes middle east
 
 
 
 
 GENERAL MISSION
 
 
 
 Herm&egrave;s is looking for a Data Analyst to strengthen its understanding of both clients and business dynamics across our 6 stores in the Middle East region. The role combines customer‑centric analyses with deep business performance insights to support teams in elevating service, client experience, and retail excellence. By ensuring high data quality and transforming complex information into actionable recommendations, the Data Analyst will help the Maison make informed decisions that advance both customer knowledge and operational performance.
 
 
 
 Responsibilities
 
 
 
 
 Dashboards creation &amp; maintaining
 
 
 
 <ul>
 <li>
 Design and produce dashboards/reports to provide in-depth analysis of business performance and clients&rsquo; behaviour (e.g. client journey, spending patterns)
 </li>
 <li>
 Collaborate with Group and Europe Data Analytics Team to enrich the current dashboards with more insights
 </li>
 <li>
 Ensure the accuracy, consistency, and reliability of data presented in all dashboards and reports, implementing robust data validation processes.
 </li>
 <li>
 Proactively gather and translate evolving business requirements from various stakeholders into actionable specifications for new dashboard development and enhancements
 
 
 </li>
 </ul>
 
 CUSTOMER DATA QUALITY
 
 
 
 <ul>
 <li>
 Improve the customer database quality and animate the retail teams to share best practices in Customer data capture
 </li>
 <li>
 Ensure regular monitoring of the customer database by developing dedicated analyses and Reports
 </li>
 <li>
 Support and deploy Group projects locally, adapting to specific market needs
 </li>
 <li>
 Develop assets to train sales teams on customer data management
 
 
 </li>
 </ul>
 
 Customer Knowledge
 
 
 
 <ul>
 <li>
 Be responsible of customer knowledge for the subsidiary by sharing retail and customer orientated insights
 </li>
 <li>
 Analyse customer patterns and retail performances to support strategic decisions
 </li>
 <li>
 Proactively monitor and identify emerging client behaviors, market trends, and competitive landscapes to anticipate future opportunities and challenges
 </li>
 <li>
 Support customer targeting initiatives with CRM analyses and provide detailed customer profile analyses
 </li>
 <li>
 Accompany group analytics initiatives, such as customer segmentation, and animate them across the subsidiary
 </li>
 <li>
 Perform ad-hoc analysis to answer specific business questions or deepen understanding of behavior or trends that are not available in existing automated dashboards
 
 
 </li>
 </ul>
 
 Retail excellence &amp; Business performance
 
 
 
 <ul>
 <li>
 Analyse on a regular basis (e.g. weekly, monthly) the retail performance and key KPIs (e.g. sales, sales per metiers, traffic, conversion rate, UPT, average basket)
 </li>
 <li>
 Propose recommendations and build action plans
 </li>
 <li>
 Ensure harmonization and alignment of performance indicators across teams and stores, aligned with the Group
 </li>
 <li>
 Contribute to the preparation of business reviews, strategic committees, and management presentations, providing clear and data-backed narratives
 
 
 </li>
 </ul>
 
 Experience &amp; Requirements
 
 
 
 <ul>
 <li>
 Master's degree (Bac +5) in Engineering or in Science / Data Analysis / Computer Science, and a minimum of 3 to 5 years&rsquo; experience in a similar role
 </li>
 <li>
 Confirmed background in statistical methodologies and social behaviour analysis
 </li>
 <li>
 Proficiency in programming languages (SQL, Python, etc.) and BI and visualization tools (Power BI and/or Cognos IBM)
 </li>
 <li>
 Proficient in data analysis and reporting
 </li>
 <li>
 Ability to analyse and synthesize
 </li>
 <li>
 Customer and business orientated mindset
 </li>
 <li>
 Curiosity and adaptability
 </li>
 <li>
 Discretion and confidentiality
 </li>
 <li>
 Team spirit
 </li>
 <li>
 Fluent preferably in multiple languages with spoken and written English mandatory. Arabic &amp; French are a plus.
 </li>
 </ul>
</div>

Retail Data Analyst

MM INTERNATIONAL TRADING FZCO

Company OverviewWe are a fast-growing company based in Business Bay, Dubai, specialising in the sale, hosting, and worldwide delivery of high-end cryptocurrency mining equipment. We work with serious clients who are ready to invest in top-tier ASIC miners (crypto mining) and hosting solutions.We have recently expanded into AI and GPU server hardware (NVIDIA-based systems for running AI and machine-learning workloads locally). Mining remains our core business, but the two markets increasingly overlap: the same buyers who understand compute, power draw, and hosting are now asking about GPU servers too.Our office is fast-paced, result-driven, and focused on converting hot leads into real revenue. You won't be doing cold outreach. You'll engage with clients who already know what they want.Job Summary:We are looking for a motivated Telesales Representative with hands-on experience in the cryptocurrency mining space. Working from our Dubai office, you'll handle daily inbound leads, provide expert guidance on miner selection and hosting, and close high-value deals.Increasingly, those inbound leads also include AI and GPU server requests (pre-built NVIDIA systems for running large language models and AI workloads under Linux). Experience selling or advising on this kind of hardware is a strong advantage, though not a hard requirement. Your primary focus will be ASIC miners, hosting, and direct-to-customer shipping.This is a performance-focused role with real earning potential.Key Responsibilities<ul><li>Respond to hot inbound leads via PHONE, WhatsApp, email, and website chat</li><li>Qualify prospects and guide them to the right ASIC miner or hosted mining service</li><li>Explain mining profitability, TH/s, hosting terms, power cost per kWh, and coin-specific ROI</li><li>Finalise sales and coordinate with logistics and operations for smooth delivery, hosting setup, or direct shipping</li><li>Maintain CRM records with deal status, quotes, and follow-up activity</li><li>Collaborate with the team to meet and exceed monthly sales targets</li></ul>AI / GPU server line (growing):<ul><li>Field inbound enquiries for pre-built AI and GPU servers (NVIDIA H100 / H200, RTX 6000 Ada, RTX PRO 6000 Blackwell, and HGX-class systems)</li><li>Qualify the customer's use case (model type, VRAM requirement, single-GPU workstation vs. multi-GPU system) and match them to the right configuration, with technical support from the team</li><li>Coordinate quotes, lead times, and build or direct-shipping logistics with suppliers and operations</li></ul>You don't need to be a hardware engineer. You need to qualify the lead, quote confidently, and drive the deal to close, with spec-level technical backup behind you.What We Offer<ul><li>Competitive base salary of at least AED 6,000/month depends on expierence</li><li>1% commission on every sale (uncapped, paid on total deal size), which scales significantly on larger AI and GPU server deals</li><li>Premium-quality hot leads, no cold calling</li><li>Modern office in Dubai</li><li>Realistic monthly earnings of AED 10K&ndash;20K based on performance, with higher upside on large-ticket AI hardware</li><li>Daily training and direct support from our team</li><li>The chance to grow across two of the most active segments in compute infrastructure: crypto mining and AI hardware</li></ul>RequirementsCore (required):<ul><li>Minimum 1 year of experience in telesales or direct B2C / B2B sales</li><li>Fluent in English (Arabic, Russian, or French are a plus)</li><li>Hands-on experience with cryptocurrency mining (ASIC devices, cloud mining, or hosting platforms)</li><li>Ability to confidently explain TH/s, power cost per kWh, profitability, and coin volatility</li><li>Strong negotiation and objection-handling skills</li><li>Highly organised, self-motivated, and comfortable working on-site in a competitive environment</li></ul>Advantageous (not required):<ul><li>Experience selling or advising on AI / GPU servers or high-end NVIDIA hardware (e.g. H100 / H200, RTX 6000 Ada, RTX PRO 6000 Blackwell, HGX systems)</li><li>Familiarity with GPU server fundamentals: VRAM, CPU platforms (AMD EPYC / Intel Xeon Scalable), ECC RAM, NVMe storage, power and cooling, and Linux (Ubuntu Server)</li><li>Comfort holding a technical conversation with buyers running local AI or LLM workloads</li></ul>Job TypeFull-time, Permanent. On-site only, no remote options.Pay: AED6,000.00 - AED7,500.00 per monthApplication Question(s):<ul><li>This role requires selling ASIC miners and hosting services. Can you confidently explain power consumption (kWh), hash rate (TH/s), and ROI to a customer yet?</li><li>Do you have expierence with crypto or with crypto mining? please explain fully </li><li>Did you ever worked in a crypto related job? If yes, please explain fully</li><li>Have you ever sold or advised on AI / GPU servers or high-end NVIDIA hardware (e.g. H100, RTX PRO 6000, HGX systems)? (Optional, a plus if yes)</li><li>Could you hold a basic technical conversation with a customer who specifies GPUs, VRAM, CPU platform, RAM, and Linux support? (Optional)</li><li>How do you typically follow up with a lead who doesn't reply within 24 hours?</li><li>which crm system did you used in your old / current work?</li><li>On a scale of 1 to 10, how would you rate your spoken and written English? (10 = fluent / native)</li><li>Have you ever sold or advised clients on crypto mining hardware (e.g. ASIC miners) or hosted mining services or AI related services?</li></ul>Experience:<ul><li>sales: 1 year (Preferred)</li></ul>Language:<ul><li>English (Required)</li></ul>Work Location: In person

Sales Agent / Telesales Representative – Crypto Mining Hardware, Hosting & AI / GPU Servers

Explore 538+ Senior data mining analyst in Dubai this July. Find roles across top companies and apply now to boost your career.

538 senior data mining analyst jobs In Dubai

Senior Fraud Data Scientist

Senior Fraud Data Scientist

Mid/Senior - Data Scientist

Senior Data Engineer

Senior Analyst, Infrastructure, Supervision (UAEN)

Retail Data Analyst

Sales Agent / Telesales Representative – Crypto Mining Hardware, Hosting & AI / GPU Servers