Model Jobs in UAE

<ul><li><p>The Senior Data Scientist will lead the development of advanced machine learning models to optimize demand forecasting and pricing strategies, driving increased profitability and customer satisfaction. This role requires a high level of expertise in Generative AI, MLOps, and cross-functional collaboration to ensure the seamless integration of data-driven solutions within the business. Success in this role is measured by the accuracy and robustness of predictive models, the optimization of pricing strategies, and the overall enhancement of customer analytics.</p><p><br><strong>What You Will Do:</strong></p><ul><li><p>Design, develop, and deploy demand forecasting models using traditional and machine learning techniques like ARIMA, XGBoost, and LSTM.</p></li><li><p>Leverage Generative AI (GenAI) to enhance demand forecasting accuracy by simulating future demand scenarios and improving model predictions.</p></li><li><p>Implement dynamic pricing models using advanced algorithms to optimize pricing strategies based on demand predictions, inventory levels, and competitor data.</p></li><li><p>Analyze customer behavior by applying clustering algorithms and predicting customer lifetime value (CLV) with machine learning models to drive personalized pricing strategies.</p></li><li><p>Monitor, evaluate, and fine-tune model performance using metrics such as MAE, RMSE, and Precision/Recall, continuously improving model accuracy and robustness.</p></li><li><p>Apply MLOps practices, including version control, model deployment pipelines, and automated testing, to ensure seamless integration, monitoring, and scaling of models across environments.</p></li><li><p>Collaborate with cross-functional teams, including marketing, product, and sales, to ensure alignment between forecasting models and business objectives.</p></li><li><p>Deploy and scale forecasting and pricing models on Azure cloud platform, leveraging CI/CD pipelines and model monitoring tools for real-time performance tracking and proactive issue resolution.</p></li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p><strong>Required Skills To Be Successful:</strong></p><ul><li><p>Advanced machine learning model development and optimization skills.</p></li><li><p>Expertise in Generative AI techniques for demand forecasting.</p></li><li><p>Proficiency in MLOps practices and model deployment pipelines.</p></li><li><p>Strong communication and collaboration abilities with cross-functional teams.</p></li></ul><p><br><strong>What Qualifies You For The Role:</strong></p><ul><li><p>Master's degree in Statistics, Data Science, Machine Learning, Mathematics, Computer Science, or a related quantitative field.</p></li><li><p>10+ years of experience in data science, with at least 5+ years focused on demand forecasting, price optimization, and customer analytics.</p></li><li><p>Strong hands-on experience with ARIMA, XGBoost, LSTM, and OR models.</p></li><li><p>Proficiency in Python, SQL, Databricks, and cloud platforms (Azure, GCP).</p></li></ul><br></li></ul>

<p>Nair Systems is currently looking for Manager - Model Implementation, Data Engineering and IFRS9 Risk Data for our UAE operations</p><p>Role Purpose:</p><p>This role demands a highly technical, data-driven professional with strong expertise in ETL pipeline development, credit risk data management, and IFRS9 model support. The incumbent will lead the design, implementation, and governance of end-to-end risk data pipelines, ensuring alignment with regulatory and modelling requirements.</p><p>As part of the ERM – Risk Function, the Risk Data Management team plays a critical role in meeting CBUAE, IFRS9, and Basel II/III requirements. The role is responsible for ensuring availability, accuracy, and traceability of data used in PD, LGD, and EAD models, including default tagging, post-default events, recovery tracking, and exposure computation.</p><p>Core Domain Expertise:</p><p>IFRS9, Basel II/III, PD/LGD/EAD modelling, credit risk data lifecycle</p><p>Preferred Tools & Technologies:</p><p>SQL (Impala, Hive, Oracle), Python, SAS, Cloudera CDP, Power BI, SAP BO</p><p>Key Responsibilities:</p><ol><li><p>ETL & Risk Data Engineering</p></li></ol><ul><li><p>Design, develop and maintain scalable ETL pipelines using SQL, Python, and SAS</p></li><li><p>Support datasets for default identification, post-default events, recovery, and exposure</p></li><li><p>Implement incremental and full-load strategies ensuring no duplication or leakage</p></li><li><p>Optimize SQL for large-scale distributed processing environments</p></li><li><p>Integrate data from core banking, collections, GSAM, and external sources</p></li></ul><ol><li><p>IFRS9 & Credit Risk Data Management</p></li></ol><ul><li><p>Translating IFRS9 methodology into technical data pipelines</p></li><li><p>Support PD, LGD, EAD model data preparation</p></li><li><p>Implement staging (Stage 1/2/3), default, and curing logic</p></li><li><p>Handle recoveries, write-offs, restructures, and exposure calculations</p></li></ul><ol><li><p>Model Implementation & Validation Support</p></li></ol><ul><li><p>Provision model-ready datasets for deployment</p></li><li><p>Support feature engineering, segmentation, and backtesting datasets</p></li><li><p>Perform reconciliation with developed/reference outputs and identify mismatches</p></li></ul><ol><li><p>Data Quality & Governance</p></li></ol><ul><li><p>Develop DQ frameworks covering completeness, accuracy, and consistency</p></li><li><p>Perform root cause analysis on data issues</p></li><li><p>Ensure full data lineage and traceability</p></li></ul><ol><li><p>Risk Technology & System Integration</p></li></ol><ul><li><p>Collaborate with IT for system integration and model deployment</p></li><li><p>Support risk system migration and upgrades</p></li><li><p>Perform testing for data migration and model accuracy</p></li></ul><ol><li><p>Automation & Reporting</p></li></ol><ul><li><p>Automate regulatory and internal reporting processes</p></li><li><p>Prepare datasets for dashboards and regulatory submissions</p></li><li><p>Support reporting tools such as Power BI and BusinessObjects</p></li></ul><p><strong>Desired Candidate Profile</strong></p><p>Banking domain experience is mandatory</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>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. Model Hosting &amp; Deployment Deploy models using SAS SFD and integrate with production systems. Ensure seamless hosting and scalability of models across multiple environments. MLOps &amp; Automation Establish and maintain MLOps pipelines for continuous integration, deployment, and monitoring of fraud models. Automate model retraining and performance tracking processes. 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. 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.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Education Master’s or Ph.D. in Data Science, Statistics, Computer Science, or related field. 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. 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. Soft Skills Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. <strong>Preferred Qualifications</strong> Experience in banking or payments industry. Familiarity with cloud platforms (AWS, Azure, GCP) for model hosting and deployment. Knowledge of regulatory compliance in fraud risk management.</p><p></p></section>

Senior Data Science Specialist<br>Position: Senior Data Science Specialist<br>Type: Hourly Contract (Part-Time)<br>Compensation: $120–$170/hour<br>Location: Remote<br>About the Opportunity This opportunity is for experienced Senior Data Science Specialists interested in contributing to advanced AI research and evaluation projects focused on improving the accuracy, reasoning, and analytical capabilities of next-generation AI systems. The role involves evaluating AI-generated data science solutions, assessing statistical and machine learning methodologies, and applying real-world data science expertise to improve the performance of advanced AI models. No prior AI experience is required. Your data science expertise, analytical skills, and professional experience are the primary qualifications for success in this role. Responsibilities Evaluate AI-generated data science solutions, statistical analyses, and machine learning outputs for accuracy and quality. Solve complex data analysis, statistical modeling, machine learning, and predictive analytics problems. Review AI-generated approaches involving data preprocessing, feature engineering, model development, validation, and evaluation. Analyze datasets, statistical methodologies, predictive models, and analytical workflows. Identify errors, inconsistencies, methodological issues, and edge cases in AI-generated analyses. Compare multiple AI-generated solutions and assess their technical strengths, weaknesses, and reasoning quality. Provide structured technical feedback to improve AI accuracy, analytical reasoning, and model performance. Collaborate with technical reviewers and interdisciplinary teams to maintain consistent evaluation standards and data quality. Required Qualifications2+ years of professional Data Science experience or equivalent industry/research experience. Strong experience with data analysis, statistical modeling, machine learning, predictive modeling, and data visualization. Proficiency in Python, SQL, and common data science libraries and frameworks. Strong understanding of statistics, probability, machine learning algorithms, model evaluation, and experimental design. Experience working with real-world datasets and translating data into actionable insights. Ability to evaluate AI-generated analyses, models, and technical solutions for correctness and effectiveness. Excellent analytical, problem-solving, and written communication skills. Preferred Qualifications Experience working with large-scale datasets, advanced machine learning systems, or production data science workflows. Experience with PyTorch, Tensor Flow, scikit-learn, XGBoost, or similar machine learning frameworks. Familiarity with AI, generative AI, LLMs, AI model evaluation, or data annotation. Experience with A/B testing, experimentation, causal inference, time-series analysis, or advanced statistical methods. Familiarity with cloud platforms, distributed computing, MLOps, or data engineering workflows. Prior experience with AI evaluation, technical review, or model quality assessment projects. Compensation Competitive compensation of $120–$170/hour. Weekly payments. Independent contractor engagement. Application Process Easy Apply on Linked InCheck Email for Next Steps Participate in Resume Evaluation & Interview Stage

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Title:</b></p><br><br>Reservoir Engineer Specialist<br><br><p><b>Reservoir Engineer Specialist – Role Profile</b>&nbsp;</p><br><br><p><b>Role and Team</b>&nbsp;</p><br><br><p><b>Job Title</b>&nbsp;</p><br><br><p>Reservoir Engineer Specialist&nbsp;</p><br><br><p>The Reservoir Engineer Specialist&nbsp;is responsible for&nbsp;leading the development, maintenance, and application of integrated static and dynamic reservoir simulation models to support field development decisions and ensure alignment with company governance requirements.&nbsp;</p><br><br><p><b>Core Role Scope</b>&nbsp;</p><br><br><p>• Develop fit-for-purpose, history-matched dynamic simulation models.&nbsp;</p><br><br><p>• Integrate multi-disciplinary data (geology, petrophysics, PVT, SCAL, pressure, production data) to ensure physics-consistent modelling.&nbsp;</p><br><br><p>• Support field development optimization (FDP), well placement, and production forecasting.&nbsp;</p><br><br><p>• Deliver decision-ready technical outputs for endorsement, including scenarios, sensitivities, and uncertainties.&nbsp;</p><br><br><p>• Act as a technical focal point for simulation-related deliverables in governance meetings and workshops.&nbsp;</p><br><br><p>• Support management framework and continuous model updates using new data.&nbsp;</p><br><br><p>• Adhere to company policies, systems, processes, and procedures.&nbsp;</p><br><br><p><b>Key Challenges</b>&nbsp;</p><br><br><p><b>A. Technical Challenges</b>&nbsp;</p><br><br><p>• Achieving robust history&nbsp;match&nbsp;across multiple data domains.&nbsp;</p><br><br><p>• Handling uncertainty in STOIIP and reservoir&nbsp;behaviour.&nbsp;</p><br><br><p>• Integration complexity across seismic, SCAL, logs, and pressure datasets.&nbsp;</p><br><br><p>• Model readiness versus project timelines.&nbsp;</p><br><br><p><b>B. Governance &amp; Stakeholder Challenges</b>&nbsp;</p><br><br><p>• Ensure all model outputs are defensible, auditable, and technically justified.&nbsp;</p><br><br><p>• Support continuous updates, re-runs, and scenario testing.&nbsp;</p><br><br><p>• Align multiple stakeholders across field development, production engineering, geology, and upstream teams.&nbsp;</p><br><br><p><b>C. Business &amp; Delivery Challenges</b>&nbsp;</p><br><br><p>• Balance model complexity with practicality.&nbsp;</p><br><br><p>• Support FDP optimization targets and production sustainability.&nbsp;</p><br><br><p>• Manage multiple parallel deliverables, workshops, committees, and support requests.&nbsp;</p><br><br><p><b>Key Success Factors</b>&nbsp;</p><br><br><p><b>A. Technical Excellence</b>&nbsp;</p><br><br><p>• High-quality history matching and predictive capability.&nbsp;</p><br><br><p>• Strong understanding of reservoir physics, SCAL, and uncertainty workflows.&nbsp;</p><br><br><p>• Ability to translate complex subsurface&nbsp;behaviour&nbsp;into clear outputs.&nbsp;</p><br><br><p><b>B. Integration &amp; Collaboration</b>&nbsp;</p><br><br><p>• Coordinate effectively with geology, petrophysics, SCAL, and production teams.&nbsp;</p><br><br><p>• Ensure integration across static, dynamic, and development workflows.&nbsp;</p><br><br><p><b>C. Engagement &amp; Governance</b>&nbsp;</p><br><br><p>• Deliver clear and&nbsp;defensible&nbsp;technical presentations.&nbsp;</p><br><br><p>• Prepare pre-validated scenarios.&nbsp;</p><br><br><p>• Ensure alignment with Integrated Reservoir Management and audit requirements.&nbsp;</p><br><br><p><b>D. Delivery &amp; Ownership</b>&nbsp;</p><br><br><p>• Own the model lifecycle from build through updates and application.&nbsp;</p><br><br><p>• Prioritize under pressure and manage multiple requests.&nbsp;</p><br><br><p>•&nbsp;Maintain&nbsp;responsiveness to urgent simulation requirements.&nbsp;</p><br><br><p><b>E. Decision Impact</b>&nbsp;</p><br><br><p>• Production forecasting.&nbsp;</p><br><br><p>• Development scenarios.&nbsp;</p><br><br><p>• Risk and uncertainty&nbsp;ranges.&nbsp;</p><br><br><p><b>Health, Safety, Environment (HSE)&nbsp;and Sustainability</b>&nbsp;</p><br><br><p>Comply with&nbsp;applicable HSE policies, procedures, controls, legislation, sustainability guidelines, international standards, best practices, and company codes of practice.&nbsp;</p><br><br><p><b>Policies, Systems, Processes &amp; Procedures</b>&nbsp;</p><br><br><p>Implement approved department policies, processes, systems, standards, and procedures in line with company and international standards.&nbsp;</p><br><br><p><b>What is the person expected to deliver in the first 6 to 12 months</b>&nbsp;</p><br><br><p><b>1. Model Build, Validation &amp; Readiness</b>&nbsp;</p><br><br><p>• Integrated static-dynamic simulation model.&nbsp;</p><br><br><p>• History-matched reservoir model.&nbsp;</p><br><br><p>• Data QC and integration.&nbsp;</p><br><br><p>• Audit-ready assumptions and uncertainty documentation.&nbsp;</p><br><br><p><b>2. Technical Engagement &amp; Endorsement</b>&nbsp;</p><br><br><p>• Present model re-evaluation results.&nbsp;</p><br><br><p>• Deliver endorsement-ready technical packages.&nbsp;</p><br><br><p><b>3. FDP &amp; Production Forecasting Support</b>&nbsp;</p><br><br><p>• Production forecasts and development scenarios.&nbsp;</p><br><br><p>• Sensitivity cases.&nbsp;</p><br><br><p>• Support field development strategy.&nbsp;</p><br><br><p><b>4. Uncertainty &amp; Risk Quantification</b>&nbsp;</p><br><br><p>• STOIIP uncertainty analysis.&nbsp;</p><br><br><p>• P10, P50, and P90 ranges.&nbsp;</p><br><br><p>• Risked production outlooks.&nbsp;</p><br><br><p><b>5. Continuous Model Update &amp; Data Integration</b>&nbsp;</p><br><br><p>• Update models using new wells, pressure, and surveillance data.&nbsp;</p><br><br><p>•&nbsp;Maintain&nbsp;alignment with IRM requirements.&nbsp;</p><br><br><p><b>6. Cross-Functional Integration &amp; Technical Assurance</b>&nbsp;</p><br><br><p>• Interface with geology, petrophysics, production, and facilities teams.&nbsp;</p><br><br><p>• Deliver a fully integrated and technically consistent subsurface model.&nbsp;</p><br><br><p><b>Candidate Profile</b>&nbsp;</p><br><br><p><b>Key Functional Experience</b>&nbsp;</p><br><br><p><b>A. Integrated Reservoir Modelling</b>&nbsp;</p><br><br><p>• Static and dynamic simulation modelling.&nbsp;</p><br><br><p>• 3D model building, initialization, history matching, and uncertainty handling.&nbsp;</p><br><br><p><b>B. Advanced Dynamic Simulation &amp; Forecasting</b>&nbsp;</p><br><br><p>• Forecasting development scenarios.&nbsp;</p><br><br><p>• Sensitivity analysis and uncertainty quantification.&nbsp;</p><br><br><p>• Production forecasting and uncertainty reduction plans.&nbsp;</p><br><br><p><b>C. Field Development Planning (FDP) Integration</b>&nbsp;</p><br><br><p>• Production targets, recovery factors, well placement, and pressure maintenance.&nbsp;</p><br><br><p>• Reservoir engineering inputs to FDP decisions.&nbsp;</p><br><br><p><b>D. Uncertainty, Risk &amp; Decision Analysis</b>&nbsp;</p><br><br><p>• STOIIP uncertainty assessment.&nbsp;</p><br><br><p>• Reservoir connectivity and performance risk analysis.&nbsp;</p><br><br><p>• P10, P50, and P90 scenario development.&nbsp;</p><br><br><p><b>E. Development Optimization &amp; Strategy Design</b>&nbsp;</p><br><br><p>• Well placement optimization.&nbsp;</p><br><br><p>• Injection strategy and VRR management.&nbsp;</p><br><br><p>• Recovery mechanism evaluation.&nbsp;</p><br><br><p><b>F. Governance &amp; Stakeholder Interface</b>&nbsp;</p><br><br><p>• Technical presentations and approval packages.&nbsp;</p><br><br><p>• Stakeholder engagement and technical committee support.&nbsp;</p><br><br><p><b>G. Cross-Disciplinary Integration</b>&nbsp;</p><br><br><p>• Collaboration with geology, drilling, facilities, and production teams.&nbsp;</p><br><br><p>• Alignment of subsurface and surface constraints.&nbsp;</p><br><br><p><b>H. Business Planning &amp; Economics Exposure</b>&nbsp;</p><br><br><p>• Production profiles for business planning.&nbsp;</p><br><br><p>• Support economic evaluations and development scenarios.&nbsp;</p><br><br><p>•&nbsp;Strong foundation&nbsp;for future commercial and strategic roles.&nbsp;</p><br><br><br><br><br><br> </div>

Finance Data Analytics & Automation Consultant<br><br>Assignment type: Six-month, full-time project assignment<br><br>Role Overview<br><br>Our client is seeking a hands-on Finance Data Analytics & Automation Consultant for a six-month, full-time Finance transformation assignment.<br><br>The consultant will partner with the Group Finance Director and Finance team to build a more automated, data-led, AI-enabled reporting environment.<br><br>The role requires Finance reporting expertise, advanced Excel, Power BI, workflow automation, and practical AI-enabled reporting skills.<br><br>The aim is to enhance current reporting and establish a scalable, intelligent Finance operating model.<br><br>This is not an IT-only, dashboard-only, or advisory-only role; the consultant must convert Finance logic into practical automated outputs.<br><br>Assignment Duration and Work Arrangement<br><br>Duration: Initial six-month assignment Capacity: Full-time, five days per week Location: Onsite with the Finance team in Dubai - UAE Reporting line: Group Finance Director <br><br>Any extension will depend on project needs and performance.<br><br>Project Context<br><br>Finance is shifting toward automated, AI-enabled reporting and decision support to reduce manual effort and produce structured outputs, including:<br><br>Post-close reporting and MIS analysis Structured financial and operational data Power BI dashboards with drill-downs Automated variance, trend analysis, and AI-assisted summaries Faster, more consistent Finance outputs <br><br>The immediate focus is to improve existing models and reporting while developing an automated reporting platform.<br><br>Key Responsibilities<br><br>Finance Process and Model Review<br><br>Review Finance reporting processes, management packs, and models. Assess trial balance, GL, entity, cost-centre, budget, and reporting outputs. Find opportunities to simplify and automate reporting. Optimize Excel-based Finance models as needed. <br><br>Excel Modelling and Data Extraction<br><br>Work with complex Excel financial models and reporting files. Improve model structure, formulas, links, and efficiency. Convert model outputs into clean datasets for automation, dashboards, and analysis. Support model simplification and documentation. <br><br>Finance Data Automation<br><br>Build structured Finance datasets from trial balance, budget, entity, GL, cost-centre, and other inputs. Use Power Query to automate data cleansing, transformation, refresh, and validation. Build reconciliation checks and move reporting from manual Excel files to automated workflows. <br><br>Power BI and Reporting Development<br><br>Develop Power BI data models and Finance dashboards. Build automated MIS, P&L, Balance Sheet, entity, facility, and consolidated reporting views. Enable drill-downs and create variance, trend, KPI, and executive dashboard views. <br><br>Workflow Automation and AI-Enabled Reporting<br><br>Use Power Automate and related tools for reporting refresh, review, and distribution. Support AI-enabled Finance reporting, commentary, summaries, and exception analysis. Use approved AI tools where relevant, ensuring outputs are reviewable and Finance-approved. <br><br>Documentation and Handover<br><br>Document data flows, model logic, assumptions, and refresh processes. Prepare handover notes, user guidance, training materials, and knowledge transfer. Ensure Finance can maintain the solutions after the assignment. <br><br>Required Skills And Experience<br><br>The consultant should have hands-on experience in:<br><br>Finance modelling: Advanced Excel, model optimization, P&L, Balance Sheet, budget versus actuals, variance, trend, trial balance, and GL mapping. Analytics and automation: Power Query, Power BI, DAX, Power Automate, dashboards, reporting automation, reconciliation, and validation. AI workflows: AI-assisted reporting or business analysis using Claude, Copilot, Chat GPT, or similar tools. <br><br>Ideal Profile<br><br>Preferred experience: 6–10 years in Finance analytics, FP&A automation, business modelling, Power BI, Finance transformation, or reporting automation.<br><br>Relevant backgrounds may include:<br><br>Big 4, consulting, business modelling, or Finance transformation Finance analytics, FP&A automation, or Power BI Finance reporting Excel modelling, BI automation, or corporate FP&A reporting analysis <br><br>The ideal candidate combines Finance knowledge with practical technical delivery.<br><br>Finance Knowledge Required<br><br>The consultant should understand:<br><br>Trial balance, chart of accounts, GL mapping, and cost-centre reporting Entity, facility, P&L, Balance Sheet, budgeting, and forecasting structures Management packs, variance analysis, consolidation, and financial model structures <br><br>A pure IT developer, AI engineer, or dashboard designer without Finance knowledge would not be suitable.<br><br>Preferred Additional Exposure<br><br>Additional useful exposure includes:<br><br>Oracle/ERP reporting, SQL, database fundamentals, or Python automation Multi-entity, financial statement, audit-support, healthcare, services, or multi-site reporting Senior Finance or CFO-level reporting requirements <br><br>Candidate Attributes<br><br>The consultant should be:<br><br>Hands-on, practical, structured, and solution-oriented Strong in Finance logic, automation, Excel models, and reporting packs Comfortable working with senior Finance stakeholders under tight timelines Able to translate business requirements into automated outputs Disciplined in confidentiality, documentation, handover, and knowledge transfer <br><br>Finance Data Analytics & Automation Consultant in Dubai, United Arab Emirates

Finance Data Analytics & Automation Consultant<br><br>Assignment type: Six-month, full-time project assignment<br><br>Role Overview<br><br>Our client is seeking a hands-on Finance Data Analytics & Automation Consultant for a six-month, full-time Finance transformation assignment.<br><br>The consultant will partner with the Group Finance Director and Finance team to build a more automated, data-led, AI-enabled reporting environment.<br><br>The role requires Finance reporting expertise, advanced Excel, Power BI, workflow automation, and practical AI-enabled reporting skills.<br><br>The aim is to enhance current reporting and establish a scalable, intelligent Finance operating model.<br><br>This is not an IT-only, dashboard-only, or advisory-only role; the consultant must convert Finance logic into practical automated outputs.<br><br>Assignment Duration and Work Arrangement<br><br>Duration: Initial six-month assignment Capacity: Full-time, five days per week Location: Onsite with the Finance team in Dubai - UAE Reporting line: Group Finance Director <br><br>Any extension will depend on project needs and performance.<br><br>Project Context<br><br>Finance is shifting toward automated, AI-enabled reporting and decision support to reduce manual effort and produce structured outputs, including:<br><br>Post-close reporting and MIS analysis Structured financial and operational data Power BI dashboards with drill-downs Automated variance, trend analysis, and AI-assisted summaries Faster, more consistent Finance outputs <br><br>The immediate focus is to improve existing models and reporting while developing an automated reporting platform.<br><br>Key Responsibilities<br><br>Finance Process and Model Review<br><br>Review Finance reporting processes, management packs, and models. Assess trial balance, GL, entity, cost-centre, budget, and reporting outputs. Find opportunities to simplify and automate reporting. Optimize Excel-based Finance models as needed. <br><br>Excel Modelling and Data Extraction<br><br>Work with complex Excel financial models and reporting files. Improve model structure, formulas, links, and efficiency. Convert model outputs into clean datasets for automation, dashboards, and analysis. Support model simplification and documentation. <br><br>Finance Data Automation<br><br>Build structured Finance datasets from trial balance, budget, entity, GL, cost-centre, and other inputs. Use Power Query to automate data cleansing, transformation, refresh, and validation. Build reconciliation checks and move reporting from manual Excel files to automated workflows. <br><br>Power BI and Reporting Development<br><br>Develop Power BI data models and Finance dashboards. Build automated MIS, P&L, Balance Sheet, entity, facility, and consolidated reporting views. Enable drill-downs and create variance, trend, KPI, and executive dashboard views. <br><br>Workflow Automation and AI-Enabled Reporting<br><br>Use Power Automate and related tools for reporting refresh, review, and distribution. Support AI-enabled Finance reporting, commentary, summaries, and exception analysis. Use approved AI tools where relevant, ensuring outputs are reviewable and Finance-approved. <br><br>Documentation and Handover<br><br>Document data flows, model logic, assumptions, and refresh processes. Prepare handover notes, user guidance, training materials, and knowledge transfer. Ensure Finance can maintain the solutions after the assignment. <br><br>Required Skills And Experience<br><br>The consultant should have hands-on experience in:<br><br>Finance modelling: Advanced Excel, model optimization, P&L, Balance Sheet, budget versus actuals, variance, trend, trial balance, and GL mapping. Analytics and automation: Power Query, Power BI, DAX, Power Automate, dashboards, reporting automation, reconciliation, and validation. AI workflows: AI-assisted reporting or business analysis using Claude, Copilot, Chat GPT, or similar tools. <br><br>Ideal Profile<br><br>Preferred experience: 6–10 years in Finance analytics, FP&A automation, business modelling, Power BI, Finance transformation, or reporting automation.<br><br>Relevant backgrounds may include:<br><br>Big 4, consulting, business modelling, or Finance transformation Finance analytics, FP&A automation, or Power BI Finance reporting Excel modelling, BI automation, or corporate FP&A reporting analysis <br><br>The ideal candidate combines Finance knowledge with practical technical delivery.<br><br>Finance Knowledge Required<br><br>The consultant should understand:<br><br>Trial balance, chart of accounts, GL mapping, and cost-centre reporting Entity, facility, P&L, Balance Sheet, budgeting, and forecasting structures Management packs, variance analysis, consolidation, and financial model structures <br><br>A pure IT developer, AI engineer, or dashboard designer without Finance knowledge would not be suitable.<br><br>Preferred Additional Exposure<br><br>Additional useful exposure includes:<br><br>Oracle/ERP reporting, SQL, database fundamentals, or Python automation Multi-entity, financial statement, audit-support, healthcare, services, or multi-site reporting Senior Finance or CFO-level reporting requirements <br><br>Candidate Attributes<br><br>The consultant should be:<br><br>Hands-on, practical, structured, and solution-oriented Strong in Finance logic, automation, Excel models, and reporting packs Comfortable working with senior Finance stakeholders under tight timelines Able to translate business requirements into automated outputs Disciplined in confidentiality, documentation, handover, and knowledge transfer <br><br>Finance Data Analytics & Automation Consultant in Dubai, United Arab Emirates

Finance Data Analytics & Automation Consultant<br><br>Assignment type: Six-month, full-time project assignment<br><br>Role Overview<br><br>Our client is seeking a hands-on Finance Data Analytics & Automation Consultant for a six-month, full-time Finance transformation assignment.<br><br>The consultant will partner with the Group Finance Director and Finance team to build a more automated, data-led, AI-enabled reporting environment.<br><br>The role requires Finance reporting expertise, advanced Excel, Power BI, workflow automation, and practical AI-enabled reporting skills.<br><br>The aim is to enhance current reporting and establish a scalable, intelligent Finance operating model.<br><br>This is not an IT-only, dashboard-only, or advisory-only role; the consultant must convert Finance logic into practical automated outputs.<br><br>Assignment Duration and Work Arrangement<br><br>Duration: Initial six-month assignment Capacity: Full-time, five days per week Location: Onsite with the Finance team in Dubai - UAE Reporting line: Group Finance Director <br><br>Any extension will depend on project needs and performance.<br><br>Project Context<br><br>Finance is shifting toward automated, AI-enabled reporting and decision support to reduce manual effort and produce structured outputs, including:<br><br>Post-close reporting and MIS analysis Structured financial and operational data Power BI dashboards with drill-downs Automated variance, trend analysis, and AI-assisted summaries Faster, more consistent Finance outputs <br><br>The immediate focus is to improve existing models and reporting while developing an automated reporting platform.<br><br>Key Responsibilities<br><br>Finance Process and Model Review<br><br>Review Finance reporting processes, management packs, and models. Assess trial balance, GL, entity, cost-centre, budget, and reporting outputs. Find opportunities to simplify and automate reporting. Optimize Excel-based Finance models as needed. <br><br>Excel Modelling and Data Extraction<br><br>Work with complex Excel financial models and reporting files. Improve model structure, formulas, links, and efficiency. Convert model outputs into clean datasets for automation, dashboards, and analysis. Support model simplification and documentation. <br><br>Finance Data Automation<br><br>Build structured Finance datasets from trial balance, budget, entity, GL, cost-centre, and other inputs. Use Power Query to automate data cleansing, transformation, refresh, and validation. Build reconciliation checks and move reporting from manual Excel files to automated workflows. <br><br>Power BI and Reporting Development<br><br>Develop Power BI data models and Finance dashboards. Build automated MIS, P&L, Balance Sheet, entity, facility, and consolidated reporting views. Enable drill-downs and create variance, trend, KPI, and executive dashboard views. <br><br>Workflow Automation and AI-Enabled Reporting<br><br>Use Power Automate and related tools for reporting refresh, review, and distribution. Support AI-enabled Finance reporting, commentary, summaries, and exception analysis. Use approved AI tools where relevant, ensuring outputs are reviewable and Finance-approved. <br><br>Documentation and Handover<br><br>Document data flows, model logic, assumptions, and refresh processes. Prepare handover notes, user guidance, training materials, and knowledge transfer. Ensure Finance can maintain the solutions after the assignment. <br><br>Required Skills And Experience<br><br>The consultant should have hands-on experience in:<br><br>Finance modelling: Advanced Excel, model optimization, P&L, Balance Sheet, budget versus actuals, variance, trend, trial balance, and GL mapping. Analytics and automation: Power Query, Power BI, DAX, Power Automate, dashboards, reporting automation, reconciliation, and validation. AI workflows: AI-assisted reporting or business analysis using Claude, Copilot, Chat GPT, or similar tools. <br><br>Ideal Profile<br><br>Preferred experience: 6–10 years in Finance analytics, FP&A automation, business modelling, Power BI, Finance transformation, or reporting automation.<br><br>Relevant backgrounds may include:<br><br>Big 4, consulting, business modelling, or Finance transformation Finance analytics, FP&A automation, or Power BI Finance reporting Excel modelling, BI automation, or corporate FP&A reporting analysis <br><br>The ideal candidate combines Finance knowledge with practical technical delivery.<br><br>Finance Knowledge Required<br><br>The consultant should understand:<br><br>Trial balance, chart of accounts, GL mapping, and cost-centre reporting Entity, facility, P&L, Balance Sheet, budgeting, and forecasting structures Management packs, variance analysis, consolidation, and financial model structures <br><br>A pure IT developer, AI engineer, or dashboard designer without Finance knowledge would not be suitable.<br><br>Preferred Additional Exposure<br><br>Additional useful exposure includes:<br><br>Oracle/ERP reporting, SQL, database fundamentals, or Python automation Multi-entity, financial statement, audit-support, healthcare, services, or multi-site reporting Senior Finance or CFO-level reporting requirements <br><br>Candidate Attributes<br><br>The consultant should be:<br><br>Hands-on, practical, structured, and solution-oriented Strong in Finance logic, automation, Excel models, and reporting packs Comfortable working with senior Finance stakeholders under tight timelines Able to translate business requirements into automated outputs Disciplined in confidentiality, documentation, handover, and knowledge transfer <br><br>Finance Data Analytics & Automation Consultant in Dubai, United Arab Emirates

Finance Data Analytics & Automation Consultant<br><br>Assignment type: Six-month, full-time project assignment<br><br>Role Overview<br><br>Our client is seeking a hands-on Finance Data Analytics & Automation Consultant for a six-month, full-time Finance transformation assignment.<br><br>The consultant will partner with the Group Finance Director and Finance team to build a more automated, data-led, AI-enabled reporting environment.<br><br>The role requires Finance reporting expertise, advanced Excel, Power BI, workflow automation, and practical AI-enabled reporting skills.<br><br>The aim is to enhance current reporting and establish a scalable, intelligent Finance operating model.<br><br>This is not an IT-only, dashboard-only, or advisory-only role; the consultant must convert Finance logic into practical automated outputs.<br><br>Assignment Duration and Work Arrangement<br><br>Duration: Initial six-month assignment Capacity: Full-time, five days per week Location: Onsite with the Finance team in Dubai - UAE Reporting line: Group Finance Director <br><br>Any extension will depend on project needs and performance.<br><br>Project Context<br><br>Finance is shifting toward automated, AI-enabled reporting and decision support to reduce manual effort and produce structured outputs, including:<br><br>Post-close reporting and MIS analysis Structured financial and operational data Power BI dashboards with drill-downs Automated variance, trend analysis, and AI-assisted summaries Faster, more consistent Finance outputs <br><br>The immediate focus is to improve existing models and reporting while developing an automated reporting platform.<br><br>Key Responsibilities<br><br>Finance Process and Model Review<br><br>Review Finance reporting processes, management packs, and models. Assess trial balance, GL, entity, cost-centre, budget, and reporting outputs. Find opportunities to simplify and automate reporting. Optimize Excel-based Finance models as needed. <br><br>Excel Modelling and Data Extraction<br><br>Work with complex Excel financial models and reporting files. Improve model structure, formulas, links, and efficiency. Convert model outputs into clean datasets for automation, dashboards, and analysis. Support model simplification and documentation. <br><br>Finance Data Automation<br><br>Build structured Finance datasets from trial balance, budget, entity, GL, cost-centre, and other inputs. Use Power Query to automate data cleansing, transformation, refresh, and validation. Build reconciliation checks and move reporting from manual Excel files to automated workflows. <br><br>Power BI and Reporting Development<br><br>Develop Power BI data models and Finance dashboards. Build automated MIS, P&L, Balance Sheet, entity, facility, and consolidated reporting views. Enable drill-downs and create variance, trend, KPI, and executive dashboard views. <br><br>Workflow Automation and AI-Enabled Reporting<br><br>Use Power Automate and related tools for reporting refresh, review, and distribution. Support AI-enabled Finance reporting, commentary, summaries, and exception analysis. Use approved AI tools where relevant, ensuring outputs are reviewable and Finance-approved. <br><br>Documentation and Handover<br><br>Document data flows, model logic, assumptions, and refresh processes. Prepare handover notes, user guidance, training materials, and knowledge transfer. Ensure Finance can maintain the solutions after the assignment. <br><br>Required Skills And Experience<br><br>The consultant should have hands-on experience in:<br><br>Finance modelling: Advanced Excel, model optimization, P&L, Balance Sheet, budget versus actuals, variance, trend, trial balance, and GL mapping. Analytics and automation: Power Query, Power BI, DAX, Power Automate, dashboards, reporting automation, reconciliation, and validation. AI workflows: AI-assisted reporting or business analysis using Claude, Copilot, Chat GPT, or similar tools. <br><br>Ideal Profile<br><br>Preferred experience: 6–10 years in Finance analytics, FP&A automation, business modelling, Power BI, Finance transformation, or reporting automation.<br><br>Relevant backgrounds may include:<br><br>Big 4, consulting, business modelling, or Finance transformation Finance analytics, FP&A automation, or Power BI Finance reporting Excel modelling, BI automation, or corporate FP&A reporting analysis <br><br>The ideal candidate combines Finance knowledge with practical technical delivery.<br><br>Finance Knowledge Required<br><br>The consultant should understand:<br><br>Trial balance, chart of accounts, GL mapping, and cost-centre reporting Entity, facility, P&L, Balance Sheet, budgeting, and forecasting structures Management packs, variance analysis, consolidation, and financial model structures <br><br>A pure IT developer, AI engineer, or dashboard designer without Finance knowledge would not be suitable.<br><br>Preferred Additional Exposure<br><br>Additional useful exposure includes:<br><br>Oracle/ERP reporting, SQL, database fundamentals, or Python automation Multi-entity, financial statement, audit-support, healthcare, services, or multi-site reporting Senior Finance or CFO-level reporting requirements <br><br>Candidate Attributes<br><br>The consultant should be:<br><br>Hands-on, practical, structured, and solution-oriented Strong in Finance logic, automation, Excel models, and reporting packs Comfortable working with senior Finance stakeholders under tight timelines Able to translate business requirements into automated outputs Disciplined in confidentiality, documentation, handover, and knowledge transfer <br><br>Finance Data Analytics & Automation Consultant in Dubai, United Arab Emirates

<p>BIM Standards & Compliance • Implement and enforce the company BIM Manual, Revit templates, naming conventions, and modelling standards (LOD/LOI) across all disciplines on assigned projects. • Ensure project BIM Execution Plans (BEP) are developed, maintained, and followed in line with ISO 19650-1/-2. • Set up and maintain the Common Data Environment (CDE) — folder structures, permissions, and workflows (e.g., Autodesk Construction Cloud / ACC). • Monitor compliance of internal teams and sub-consultants against agreed standards; report nonconformances and drive corrective action. Model Coordination & Quality Control • Lead federated model coordination across Architecture, Structure, MEP, and Infrastructure; run and chair clash detection sessions (Navisworks / BIM Collaborate). • Perform model audits and QA/QC checks (model health, parameters, shared coordinates, worksets) prior to issue. • Track and close out clashes, RFIs, and coordination issues through to resolution. • Validate drawing sheets, schedules, and quantities extracted from models for accuracy and consistency. Automation & Digital Workflow Development • Develop and maintain Dynamo graphs to automate repetitive modelling, QA/QC checks, parameter population, sheet/schedule creation, and data validation tasks. • Write and maintain Python scripts (within Dynamo, pyRevit, or standalone) to extend automation beyond native Dynamo nodes — batch processing, data export/import, model auditing, and reporting. • Identify manual, repetitive workflows across the team and propose/build automation solutions to improve speed and consistency. • Maintain a shared library of reusable Dynamo scripts and Python tools for the wider BIM team; document usage and train coordinators on their application. • Collaborate with the Digital Delivery team on the firm's internal toolkit (e.g., Revit add-ins, content catalog, effort estimators) and contribute automation requirements/testing. • Stay current with emerging automation and AI-assisted workflows relevant to BIM production (e.g., generative design, AI-assisted QA, scripting with the Revit API/C#) and recommend adoption where it adds value. Data & Information Management • Manage shared parameters, project parameters, and data schemas to support COBie/asset data and client information requirements (EIR/AIR). • Coordinate data drops and information exchanges at project milestones in line with the Master Information Delivery Plan (MIDP) / Task Information Delivery Plan (TIDP). • Extract and validate model-derived data (quantities, schedules, room/space data) for cost, sustainability, or FM handover purposes. Stakeholder Coordination & Reporting • Act as the primary BIM point of contact for project managers, design leads, and appointed parties on coordination and information management matters. • Chair/support BIM coordination meetings; issue minutes, coordination reports, and clash/issue trackers. • Report BIM production status, risks, and automation gains to the Digital Delivery / BIM leadership. • Liaise with clients and consultants on model exchange formats, federation strategy, and delivery expectations. Software & Technology Management • Administer project-level configuration of Revit, Navisworks, and CDE platforms (ACC/BIM 360); manage worksharing, cloud models, and permissions. • Troubleshoot model performance, file corruption, and interoperability issues (IFC, COBie, Navisworks exports). • Evaluate and pilot new BIM/automation tools and plug-ins, feeding recommendations into the firm's digital delivery roadmap.</p><p>Qualifications & Experience • Bachelor's degree in Architecture, Engineering, Construction Management, or a related field. • Typically 6–10+ years of BIM/CAD experience, including demonstrated experience leading model coordination on multi-disciplinary projects. • Proven track record implementing ISO 19650 or equivalent BIM standards on live projects. • Hands-on experience building Dynamo graphs and Python scripts for production automation (not just running pre-built scripts). • Experience mentoring or leading a small team of BIM coordinators/modelers.</p>

Role Purpose:We are seeking an experienced BIM Manager – Building Projects to lead BIM implementation, coordination, and digital delivery across large-scale construction projects. The role will be responsible for managing BIM processes, coordinating multidisciplinary models, improving design coordination, and ensuring successful BIM execution throughout the project lifecycle.<br>Key Responsibilities:Develop and implement BIM execution plans (BEP) and BIM standards across projects. Manage BIM coordination between architectural, structural, and MEP disciplines. Lead clash detection, model reviews, and design coordination using BIM platforms. Ensure BIM models comply with project requirements, standards, and contractual obligations. Coordinate with consultants, contractors, subcontractors, and project teams. Support project teams with 3D coordination, quantity take-offs, and digital workflows. Manage BIM documentation, model exchanges, and information management processes. Provide BIM training and technical support to project teams. Ensure compliance with client BIM requirements and Dubai BIM standards. Support project handover through accurate as-built models and digital documentation. <br>Qualifications & Experience:Bachelor's Degree in Engineering, Architecture, Construction Management, or related field. 8+ years of BIM experience in building construction projects.3+ years in a BIM Manager / BIM Lead role. Strong UAE/GCC experience on large-scale building projects. Experience working with contractors, consultants, or developers. <br>Technical Skills:BIM Management & Coordination BIM Execution Planning (BEP) Clash Detection & Model Coordination 3D Modelling & Digital Delivery Revit (Architecture, Structure & MEP) Navisworks Manage Autodesk Construction Cloud / BIM 360 Auto CAD Dynamo (advantage) BIM Collaboration Tools ISO 19650 Standards <br>Project Experience:Experience with:High-rise towers Commercial buildings Residential developments Mixed-use projects Hospitality projects Large-scale infrastructure/building developments

Role: Security Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $50 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking an AI Jailbreak & Prompt-Injection Security Expert to work on a contract basis. The role focuses on identifying vulnerabilities in AI models, testing defenses against prompt-injection attacks, and developing robust security frameworks. Responsibilities include designing and executing jailbreak scenarios to assess model resilience.<br>Key Responsibilities:• Conduct deep-dive analysis of AI model vulnerabilities to prompt-injection and jailbreak techniques.• Develop and refine testing methodologies to evaluate the robustness of AI security mechanisms.• Document findings and recommend security improvements for AI systems.• Collaborate with cross-functional teams to integrate security best practices into AI deployment pipelines.• Stay current with emerging threats in AI security, including new jailbreak and injection vectors.<br>Required Skills & Qualifications:• Experience with AI security, prompt-injection, and jailbreak testing frameworks.• Proficiency in Python and scripting for automated security testing.• Knowledge of adversarial machine learning and ethical hacking techniques.• Familiarity with AI model architectures and inference pipelines.• Ability to analyze security logs and interpret model behavior under attack.• Experience with threat modeling and risk assessment in AI systems.<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 secure AI systems. The position involves direct impact on safeguarding AI deployments against evolving attack methods.<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: Security Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $50 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking an AI Jailbreak & Prompt-Injection Security Expert to work on a contract basis. The role focuses on identifying vulnerabilities in AI models, testing defenses against prompt-injection attacks, and developing robust security frameworks. Responsibilities include designing and executing jailbreak scenarios to assess model resilience.<br>Key Responsibilities:• Conduct deep-dive analysis of AI model vulnerabilities to prompt-injection and jailbreak techniques.• Develop and refine testing methodologies to evaluate the robustness of AI security mechanisms.• Document findings and recommend security improvements for AI systems.• Collaborate with cross-functional teams to integrate security best practices into AI deployment pipelines.• Stay current with emerging threats in AI security, including new jailbreak and injection vectors.<br>Required Skills & Qualifications:• Experience with AI security, prompt-injection, and jailbreak testing frameworks.• Proficiency in Python and scripting for automated security testing.• Knowledge of adversarial machine learning and ethical hacking techniques.• Familiarity with AI model architectures and inference pipelines.• Ability to analyze security logs and interpret model behavior under attack.• Experience with threat modeling and risk assessment in AI systems.<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 secure AI systems. The position involves direct impact on safeguarding AI deployments against evolving attack methods.<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: Security Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $50 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking an AI Jailbreak & Prompt-Injection Security Expert to work on a contract basis. The role focuses on identifying vulnerabilities in AI models, testing defenses against prompt-injection attacks, and developing robust security frameworks. Responsibilities include designing and executing jailbreak scenarios to assess model resilience.<br>Key Responsibilities:• Conduct deep-dive analysis of AI model vulnerabilities to prompt-injection and jailbreak techniques.• Develop and refine testing methodologies to evaluate the robustness of AI security mechanisms.• Document findings and recommend security improvements for AI systems.• Collaborate with cross-functional teams to integrate security best practices into AI deployment pipelines.• Stay current with emerging threats in AI security, including new jailbreak and injection vectors.<br>Required Skills & Qualifications:• Experience with AI security, prompt-injection, and jailbreak testing frameworks.• Proficiency in Python and scripting for automated security testing.• Knowledge of adversarial machine learning and ethical hacking techniques.• Familiarity with AI model architectures and inference pipelines.• Ability to analyze security logs and interpret model behavior under attack.• Experience with threat modeling and risk assessment in AI systems.<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 secure AI systems. The position involves direct impact on safeguarding AI deployments against evolving attack methods.<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: Security Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $50 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking an AI Jailbreak & Prompt-Injection Security Expert to work on a contract basis. The role focuses on identifying vulnerabilities in AI models, testing defenses against prompt-injection attacks, and developing robust security frameworks. Responsibilities include designing and executing jailbreak scenarios to assess model resilience.<br>Key Responsibilities:• Conduct deep-dive analysis of AI model vulnerabilities to prompt-injection and jailbreak techniques.• Develop and refine testing methodologies to evaluate the robustness of AI security mechanisms.• Document findings and recommend security improvements for AI systems.• Collaborate with cross-functional teams to integrate security best practices into AI deployment pipelines.• Stay current with emerging threats in AI security, including new jailbreak and injection vectors.<br>Required Skills & Qualifications:• Experience with AI security, prompt-injection, and jailbreak testing frameworks.• Proficiency in Python and scripting for automated security testing.• Knowledge of adversarial machine learning and ethical hacking techniques.• Familiarity with AI model architectures and inference pipelines.• Ability to analyze security logs and interpret model behavior under attack.• Experience with threat modeling and risk assessment in AI systems.<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 secure AI systems. The position involves direct impact on safeguarding AI deployments against evolving attack methods.<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: Security Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $50 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking an AI Jailbreak & Prompt-Injection Security Expert to work on a contract basis. The role focuses on identifying vulnerabilities in AI models, testing defenses against prompt-injection attacks, and developing robust security frameworks. Responsibilities include designing and executing jailbreak scenarios to assess model resilience.<br>Key Responsibilities:• Conduct deep-dive analysis of AI model vulnerabilities to prompt-injection and jailbreak techniques.• Develop and refine testing methodologies to evaluate the robustness of AI security mechanisms.• Document findings and recommend security improvements for AI systems.• Collaborate with cross-functional teams to integrate security best practices into AI deployment pipelines.• Stay current with emerging threats in AI security, including new jailbreak and injection vectors.<br>Required Skills & Qualifications:• Experience with AI security, prompt-injection, and jailbreak testing frameworks.• Proficiency in Python and scripting for automated security testing.• Knowledge of adversarial machine learning and ethical hacking techniques.• Familiarity with AI model architectures and inference pipelines.• Ability to analyze security logs and interpret model behavior under attack.• Experience with threat modeling and risk assessment in AI systems.<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 secure AI systems. The position involves direct impact on safeguarding AI deployments against evolving attack methods.<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: AI Software Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $130/hour<br>Role Overview:We are hiring for one of our clients, seeking an AI Engineer to develop and deploy machine learning models for real-time data processing. The role involves designing algorithms to improve automated decision-making systems. Candidates will collaborate with cross-functional teams to integrate AI solutions into existing infrastructure.<br>Key Responsibilities:• Develop and optimize AI models for classification, regression, and clustering tasks.• Implement and maintain scalable machine learning pipelines for data ingestion and processing.• Collaborate with software engineers to deploy AI models into production environments.• Analyze model performance and iterate based on feedback and metrics.• Ensure compliance with data privacy and security protocols in all AI implementations.<br>Required Skills & Qualifications:• Proficiency in Python, with experience in libraries such as Tensor Flow or PyTorch.• Strong background in machine learning algorithms and statistical modeling.• Experience with data preprocessing, feature engineering, and model evaluation.• Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) for model deployment.• Knowledge of MLOps practices and tools for CI/CD in AI workflows.<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 advancements in automated decision-making systems. The project focuses on enhancing real-time data processing capabilities for enterprise applications.<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: AI Software Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $130/hour<br>Role Overview:We are hiring for one of our clients, seeking an AI Engineer to develop and deploy machine learning models for real-time data processing. The role involves designing algorithms to improve automated decision-making systems. Candidates will collaborate with cross-functional teams to integrate AI solutions into existing infrastructure.<br>Key Responsibilities:• Develop and optimize AI models for classification, regression, and clustering tasks.• Implement and maintain scalable machine learning pipelines for data ingestion and processing.• Collaborate with software engineers to deploy AI models into production environments.• Analyze model performance and iterate based on feedback and metrics.• Ensure compliance with data privacy and security protocols in all AI implementations.<br>Required Skills & Qualifications:• Proficiency in Python, with experience in libraries such as Tensor Flow or PyTorch.• Strong background in machine learning algorithms and statistical modeling.• Experience with data preprocessing, feature engineering, and model evaluation.• Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) for model deployment.• Knowledge of MLOps practices and tools for CI/CD in AI workflows.<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 advancements in automated decision-making systems. The project focuses on enhancing real-time data processing capabilities for enterprise applications.<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!

<ul><li>Develop and deploy machine learning models, ensuring scalability and efficiency in production environments.</li><li>Design and implement end-to-end machine learning pipelines, from data ingestion and preprocessing to model evaluation and deployment.</li><li>Conduct rigorous experimentation and A/B testing to optimize model performance and user experience.</li><li>Stay up-to-date with the latest advancements in machine learning and deep learning, and apply them to solve real-world problems.</li><li>Automate model training, evaluation, and deployment processes to streamline workflows.</li></ul><p><strong>Desired Candidate Profile</strong></p><p><strong>Key Requirements:</strong></p><ul><li><p>3–7 years of experience building production-grade, scalable AI systems</p></li><li><p>Strong expertise in supervised and unsupervised learning, deep learning, NLP, computer vision, and/or generative AI (LLMs)</p></li><li><p>Experience training, fine-tuning, and deploying machine learning, neural network, and Agentic AI models</p></li><li><p>Strong machine learning system architecture and design skills</p></li><li><p>Experience building end-to-end production-grade ML pipelines covering data ingestion, model training, validation, deployment, and monitoring</p></li><li><p>Knowledge of model serving and API development using frameworks such as FastAPI and Flask</p></li><li><p>Familiarity with Docker, Kubernetes, CI/CD pipelines, MLflow, Kubeflow, and MLOps practices</p></li><li><p>Experience deploying models on AWS and/or Azure</p></li><li><p>Bachelor's degree in Computer Science, Engineering, or a related field (Master's or PhD preferred)</p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Overview Of The Role:</b></p><p>The Senior Data Scientist will lead the development of advanced machine learning models to optimize demand forecasting and pricing strategies, driving increased profitability and customer satisfaction. This role requires a high level of expertise in Generative AI, MLOps, and cross-functional collaboration to ensure the seamless integration of data-driven solutions within the business. Success in this role is measured by the accuracy and robustness of predictive models, the optimization of pricing strategies, and the overall enhancement of customer analytics.</p><p><br></p><p><b>What You Will Do:</b></p><ul><li>Design, develop, and deploy demand forecasting models using traditional and machine learning techniques like ARIMA, XGBoost, and LSTM.</li><li>Leverage Generative AI (GenAI) to enhance demand forecasting accuracy by simulating future demand scenarios and improving model predictions.</li><li>Implement dynamic pricing models using advanced algorithms to optimize pricing strategies based on demand predictions, inventory levels, and competitor data.</li><li>Analyze customer behavior by applying clustering algorithms and predicting customer lifetime value (CLV) with machine learning models to drive personalized pricing strategies.</li><li>Monitor, evaluate, and fine-tune model performance using metrics such as MAE, RMSE, and Precision/Recall, continuously improving model accuracy and robustness.</li><li>Apply MLOps practices, including version control, model deployment pipelines, and automated testing, to ensure seamless integration, monitoring, and scaling of models across environments.</li><li>Collaborate with cross-functional teams, including marketing, product, and sales, to ensure alignment between forecasting models and business objectives.</li><li>Deploy and scale forecasting and pricing models on Azure cloud platform, leveraging CI/CD pipelines and model monitoring tools for real-time performance tracking and proactive issue resolution.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>Required Skills To Be Successful:</b></p><ul><li>Advanced machine learning model development and optimization skills.</li><li>Expertise in Generative AI techniques for demand forecasting.</li><li>Proficiency in MLOps practices and model deployment pipelines.</li><li>Strong communication and collaboration abilities with cross-functional teams.</li></ul><p><br></p><p><b>What Qualifies You For The Role:</b></p><ul><li>Master's degree in Statistics, Data Science, Machine Learning, Mathematics, Computer Science, or a related quantitative field.</li><li>10+ years of experience in data science, with at least 5+ years focused on demand forecasting, price optimization, and customer analytics.</li><li>Strong hands-on experience with ARIMA, XGBoost, LSTM, and OR models.</li><li>Proficiency in Python, SQL, Databricks, and cloud platforms (Azure, GCP).</li></ul><p>&nbsp;</p><p>We’re here to provide excellent service but a little help from you can ensure a five-star candidate experience from start to finish.</p></div>