Python Developer Jobs in UAE

Role: Member of Technical Staff - Medical Research (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $350K - $500K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Member of Technical Staff, Medical Research to work on a full-time basis. The role involves designing and implementing computational methods to analyze medical data, developing algorithms for diagnostic and therapeutic applications, and contributing to peer-reviewed research publications in high-impact journals.<br>Key Responsibilities:• Design, develop, and validate machine learning models for medical imaging analysis and clinical decision support.• Collaborate with cross-functional teams including clinicians, data scientists, and software engineers to translate research into scalable solutions.• Publish findings in academic journals and present results at conferences to advance the state of medical research.• Optimize algorithms for performance, accuracy, and computational efficiency on large-scale medical datasets.• Contribute to the development of internal tools and frameworks that accelerate medical research workflows.<br>Required Skills & Qualifications:• PhD or equivalent experience in Computer Science, Biomedical Engineering, or a related field with a focus on medical applications.• Proven expertise in machine learning, deep learning, and statistical modeling applied to medical data.• Proficiency in programming languages such as Python, R, or Julia, with experience in medical data processing libraries (e.g., Tensor Flow, PyTorch, scikit-learn).• Experience with medical imaging data (e.g., MRI, CT, X-ray) and relevant toolkits (e.g., ITK, Simple ITK, MONAI).• Strong publication record in peer-reviewed medical or AI research journals.• Familiarity with healthcare data standards (e.g., DICOM, HL7) and regulatory compliance (e.g., HIPAA, GDPR).• Ability to work in a fast-paced research environment with iterative development cycles.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Biotechnology Research industry, contributing to breakthroughs in medical diagnostics and treatment optimization. The position combines cutting-edge AI research with real-world clinical impact, enabling the translation of academic findings into scalable healthcare solutions.<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: Senior QA Automation Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $80/hour<br>Role Overview:We are hiring for one of our clients, seeking a Senior QA Automation Engineer to design, implement, and maintain automated testing frameworks for high-impact software projects. The role involves collaborating with cross-functional teams to ensure software quality and reliability across multiple platforms and environments. Responsibilities include developing test scripts, analyzing test results, and identifying defects to improve system performance.<br>Key Responsibilities:• Design and develop automated test scripts using industry-standard frameworks such as Selenium, Cypress, or Playwright.• Execute and maintain automated test suites to validate software functionality, performance, and security.• Collaborate with developers and product teams to integrate testing into CI/CD pipelines and ensure continuous delivery.• Analyze test results, document defects, and work with engineering teams to resolve issues efficiently.• Mentor junior QA engineers and contribute to improving testing methodologies and best practices.<br>Required Skills & Qualifications:• Minimum 5 years of experience in QA automation engineering, with expertise in scripting languages like Python, Java, or Java Script.• Proficiency in automated testing tools such as Selenium Web Driver, Appium, or Postman for API testing.• Experience with test frameworks like Cucumber, JUnit, or Test NG for structured test execution.• Strong understanding of CI/CD tools such as Jenkins, Git Lab CI, or Circle CI for test automation integration.• Ability to analyze complex system behavior and troubleshoot automated test failures effectively.• Experience with performance and load testing tools such as JMeter or Gatling is a plus.• Familiarity with version control systems like Git and branching strategies for test code management.• Excellent problem-solving skills and attention to detail in validating software quality.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | IT Services and IT Consulting industry, contributing to the delivery of scalable and high-quality software solutions. The position involves direct impact on software reliability and performance across distributed teams.<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!

Company Description<br><br>Job Description<br><br>We are currently looking for AI Solutions Engineer for (Offshore/Onsite) our UAE operations with the following terms & conditions.<br><br>Qualifications<br><br>Education: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related field.<br><br>Experience<br><br>Good years of experience in AI, machine learning, and solution architecture, with a proven track record of designing and deploying AI solutions. Hands-on experience with AI tools and platforms and cloud services like Microsoft Azure. Strong background in machine learning algorithms, deep learning, data processing, and systems integration. Ability to drive architecture governance, code quality, and technical standards. Proven experience delivering AI and digital transformation solutions within financial services, banking, fintech, regulatory authorities, or highly regulated environments, with a strong understanding of compliance, governance, risk management, and regulatory requirements.<br><br>Technical Skills<br><br>Proficient in programming languages such as Python, Java, or C++. Familiarity with data pipeline tools and frameworks Experience with cloud infrastructure, containerization (Docker, Kubernetes), and Dev Ops practices. Solid understanding of data architecture, data science, security, and privacy considerations in AI systems. Design AI solutions integrated with enterprise platforms (Salesforce CRM, datalakes, CMS, APIs). Hands-on experience with frameworks like Hugging Face, Lang Chain, Foundry, Open AI APIs etc. Demonstrated experience in designing, developing, and deploying Agentic AI solutions, including autonomous AI agents, multi-agent systems, AI orchestration frameworks, and agent-based workflow automation using platforms such as Azure AI Foundry, Agentforce, etc<br><br>Soft Skills<br><br>Strong analytical and problem-solving skills. Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders. Leadership experience and the ability to work effectively in cross-functional teams. Detail-oriented and focused on delivering high-quality, scalable solutions.<br><br>Data & Integration<br><br>Familiarity with data engineering tools, data lakehouses (Fabric), and ETL pipelines. Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware.<br><br>Experience: 6 to 8 Years<br><br>Preferred Qualifications<br><br>Experience with advanced AI techniques such as reinforcement learning, natural language processing, or computer vision.<br><br>Knowledge of AI ethics and bias mitigation strategies.<br><br>Terms and conditions<br><br>Joining time frame: Immediate<br><br>Additional Information<br><br>Terms And Conditions<br><br>Joining time frame: maximum 4 weeks<br><br>By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply<br><br>I'm interested<br><br>I'm interested

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Purpose<p>At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralised unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets. The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.</p><br><br><p>The role of the <strong>Analytics &amp; Insights Specialist</strong> is to support the delivery of analysis and insights use cases for a diverse range of departments and business stakeholders. Work closely to support the Analytics and Insights Manager to develop information driven solutions that help business leaders understand their data and how it can be used to identify opportunities and solve complex business problems. The Analytics and Insights Specialist uses a variety of business and technical skills to deliver bespoke information products rapidly that ensures data and information provide valuable context that underpins each decision. This role also provides technical subject matter expertise within their domain to design solutions that are reliable, scalable and empower business to access the data they need, when they need it most.</p><br><br><p><strong>In this role, you will: </strong></p><br><br><ul><li>Support the Analytics and Insights manager in the delivery of complex insights use cases in a manner which is accepted by business stakeholders, through compelling visualisation and narratives incorporating analytical insight into actionable business narratives.</li><li>Leverage relevant frameworks that capture relevant data models and business logic whilst ensuring a systematic approach to deliver projects of high value in a timely manner leveraging self-service capabilities where possible.</li><li>Support the Analytics and Insights manager in assisting various stakeholders to define relevant metrics and KPI?s and designing action orientated reports.</li><li>Based on past insights engagements support business users on ad hoc analytics questions, best practice use of tools analytical tools, such as Power BI and Snowflake.</li><li>Support the Analytics and Insights manager, partnering with relevant business units identifying performance, causal analysis, data gaps, and provide recommendations.</li><li>Support the Analytics and Insights manager in transitioning meaningful insights to the relevant business unit power users via training and coaching and/or productionising analysis via Enterprise Data and Analytics (ED&amp;A) large solutions. Ensuring the business is enabled with self-service and to maintain the on-going analysis.</li><li>Conduct in-depth analysis, utilising relevant statistical methods to provide actionable insights based on business hypothesis.</li><li>Dependant on the insights use case, support the Analytics and Insights Manager to technically retrieve and query data from relevant source system if not already ingested and available in the enterprise data platform. </li><li>Based on Insights use case, complete relevant documentation including business logic, transformations, and semantic definition to ensure smooth transition to business handover or productionising insights use case to ED&amp;A large solutions.</li></ul>Qualification<p><strong>T</strong><span><strong>o be considered for this role, you must meet the below requirements:</strong></span></p><br><br><ul><li><strong>Qualifications: </strong>Completed Bachelors/Masters Degree or Honours (12+3 or equivalent)</li><li><strong>Experience:</strong> 5+ Years of experience in Information Technology or other related field. </li></ul><p><strong>Knowledge &amp; Skills: </strong></p><br><br><ul><li>Experience in working with and having an understanding of Data &amp; Analytics tools and platforms including Data Warehouses data lakes and visualisation toolsets.</li><li>Experience and knowledge in one or more of the following business domains such as: customer, commercial, operations, Finance, Human Resources etc.</li><li>Experience in using analytics tools and technologies (e.g. SQL, Python, PowerBI, Tableau, Looker).</li><li>Experience of delivering end to end analysis of a business problem from data extraction, modelling to dashboard creation and monitoring over time.</li><li>Experience of Power BI/MicroStrategy or other visualisation tool set is a must.</li><li>Strong analytics and business intelligence skills. </li><li>Knowledge of SQL/Python/R.</li><li>Excellent communication skills, with the ability to interact with stakeholders at all levels of the business, including external parties.</li><li>Knowledge of BI applications and design principles. </li><li>Knowledge of data and KPIs commonly used in airline industry, particularly as they relate to the commercial application of this information.</li></ul><p>At Emirates, we're committed to providing our employees with opportunities to grow and develop in their careers. So if you're looking for a challenging and rewarding opportunity, apply today and join our team!</p><br><br><br>Salary &amp; benefits<p>Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. Find out what it’s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers</p><br><br><br> </div>

Role: Senior QA Automation Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $80/hour<br>Role Overview:We are hiring for one of our clients, seeking a Senior QA Automation Engineer to design, implement, and maintain automated testing frameworks for high-impact software projects. The role involves collaborating with cross-functional teams to ensure software quality and reliability across multiple platforms and environments. Responsibilities include developing test scripts, analyzing test results, and identifying defects to improve system performance.<br>Key Responsibilities:• Design and develop automated test scripts using industry-standard frameworks such as Selenium, Cypress, or Playwright.• Execute and maintain automated test suites to validate software functionality, performance, and security.• Collaborate with developers and product teams to integrate testing into CI/CD pipelines and ensure continuous delivery.• Analyze test results, document defects, and work with engineering teams to resolve issues efficiently.• Mentor junior QA engineers and contribute to improving testing methodologies and best practices.<br>Required Skills & Qualifications:• Minimum 5 years of experience in QA automation engineering, with expertise in scripting languages like Python, Java, or Java Script.• Proficiency in automated testing tools such as Selenium Web Driver, Appium, or Postman for API testing.• Experience with test frameworks like Cucumber, JUnit, or Test NG for structured test execution.• Strong understanding of CI/CD tools such as Jenkins, Git Lab CI, or Circle CI for test automation integration.• Ability to analyze complex system behavior and troubleshoot automated test failures effectively.• Experience with performance and load testing tools such as JMeter or Gatling is a plus.• Familiarity with version control systems like Git and branching strategies for test code management.• Excellent problem-solving skills and attention to detail in validating software quality.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | IT Services and IT Consulting industry, contributing to the delivery of scalable and high-quality software solutions. The position involves direct impact on software reliability and performance across distributed teams.<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!

Full Stack Engineer<br><br>2 year extendable contract Abu Dhabi | Office based <br><br>We are seeking a highly motivated Full-Stack Engineer to join our client's growing Data & AI team. This role is critical to ensuring the reliability, scalability, security, and performance of an AI-powered platform running in the Microsoft Azure ecosystem.<br><br>The successful candidate will combine strong backend engineering expertise with cloud infrastructure and Dev Ops capabilities, taking ownership of deployment pipelines, cloud environments, observability, cost optimization, and platform reliability. Working closely with AI and frontend engineers, you will help deliver innovative AI-driven products and services at scale.<br><br>Key Responsibilities<br><br>Design, develop, and maintain backend services and APIs that support AI-powered applications. Build scalable, secure, and high-performing solutions using modern software engineering practices. Collaborate with cross-functional teams to ensure seamless integration across platform components. Manage and optimize cloud infrastructure within Microsoft Azure. Implement and maintain Infrastructure as Code (IaC) practices. Own CI/CD pipelines, including build, test, deployment, release, and rollback automation. Provision and manage development, testing, and production environments. Establish monitoring, logging, alerting, and observability across all platform services. Investigate production issues, conduct root cause analysis, and implement preventive measures. Drive continuous improvements in platform reliability, availability, and performance. Implement cloud security best practices across networking, identity management, secrets management, and deployment processes. Support Dev Sec Ops initiatives and ensure compliance with organizational standards. Manage access controls and operational governance across environments. <br><br>Required Qualifications<br><br>Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline. 4-7 years of experience in software engineering, cloud infrastructure, Dev Ops, or related roles. Strong hands-on experience with Microsoft Azure services and cloud architecture. Experience with CI/CD tools such as Azure Dev Ops and Git Hub Actions. Proficiency in backend development using technologies such as Python, Node.js, or Type Script. Experience building and supporting microservices-based architectures. Hands-on expertise with Docker, containers, and Kubernetes-based platforms such as Azure Kubernetes Service (AKS). Experience with monitoring and observability tools including Azure Monitor, Application Insights, Grafana, or similar solutions. Knowledge of cloud security, Dev Sec Ops, governance, and cost management practices. <br><br>Fullstack Engineer in Abu Dhabi, United Arab Emirates

<p>This role requires a hands-on Data Engineer who has personally delivered and operated a full data lake on Azure. You will initially partner on build, then take full ownership of platform performance, scalability, and evolution. Client Details A multi-regional organisation undergoing a large-scale digital transformation focused on modern data platforms. The business is investing heavily in enterprise-grade cloud, data, and analytics capabilities Description * Design and build Azure-based data lake (ADLS, ADF, Synapse/Fabric) * Develop production-grade Spark pipelines (batch & near real-time) * Own data modelling for Power BI (star schema, semantic layers) * Implement data governance, lineage, and quality controls (e.g. Purview) * Take full ownership of platform BAU: monitoring, performance, cost Job Offer * End-to-end ownership of a business-critical data platform * Exposure to large-scale transformation and senior stakeholders</p><p>* 5-7 years' Data Engineering experience with at least 1 full data lake delivery * Expert in Azure stack (ADF, ADLS, Synapse/Fabric) + strong PySpark * Proven ownership of production pipelines (design, deploy, operate) * Strong SQL & Python; experience with APIs, ERP integrations (e.g. D365) * Demonstrated experience structuring data specifically for Power BI</p>

<p>This role requires a hands-on Data Engineer who has personally delivered and operated a full data lake on Azure. You will initially partner on build, then take full ownership of platform performance, scalability, and evolution. Client Details A multi-regional organisation undergoing a large-scale digital transformation focused on modern data platforms. The business is investing heavily in enterprise-grade cloud, data, and analytics capabilities Description * Design and build Azure-based data lake (ADLS, ADF, Synapse/Fabric) * Develop production-grade Spark pipelines (batch & near real-time) * Own data modelling for Power BI (star schema, semantic layers) * Implement data governance, lineage, and quality controls (e.g. Purview) * Take full ownership of platform BAU: monitoring, performance, cost Job Offer * End-to-end ownership of a business-critical data platform * Exposure to large-scale transformation and senior stakeholders</p><p>* 5-7 years' Data Engineering experience with at least 1 full data lake delivery * Expert in Azure stack (ADF, ADLS, Synapse/Fabric) + strong PySpark * Proven ownership of production pipelines (design, deploy, operate) * Strong SQL & Python; experience with APIs, ERP integrations (e.g. D365) * Demonstrated experience structuring data specifically for Power BI</p>

Role Description This role is for an Entry-Level Data Analyst responsible for collecting, organizing, analyzing, and interpreting data to support business decisions and operational improvements. In this position, you will work with various datasets to identify trends, generate reports, and provide insights that help teams make informed decisions. As an Entry-Level Data Analyst, you will collaborate with business stakeholders, managers, and cross-functional teams to gather reporting requirements, maintain data accuracy, and prepare dashboards and performance reports. You will assist in monitoring key performance indicators (KPIs), validating data, and supporting ongoing analytical projects. The role involves cleaning and organizing data, performing routine analysis, creating visualizations, and documenting findings. You will also contribute to process improvements by identifying opportunities to enhance reporting efficiency and data quality. This position is ideal for recent graduates or candidates beginning their careers in data analytics. Strong analytical thinking, attention to detail, and a willingness to learn are essential for success. The Entry-Level Data Analyst plays an important role in helping organizations make data-driven decisions by delivering accurate analysis, reliable reporting, and actionable business insights. Key Responsibilities Collect, clean, and organize data from multiple sources Analyze datasets to identify trends and business insights Prepare reports, dashboards, and data visualizations Monitor key performance indicators (KPIs) and business metrics Validate data accuracy and maintain data quality standards Support business reporting and analytical projects Assist in documenting analytical processes and findings Collaborate with business and technical teams to support decision-making Identify opportunities to improve reporting efficiency and data processes Learn and apply new analytical tools and best practices Qualifications Basic knowledge of data analysis concepts and reporting techniques Proficiency in Microsoft Excel or similar spreadsheet software Familiarity with SQL is a plus Experience with Power BI, Tableau, or similar visualization tools is beneficial Basic knowledge of Python or R for data analysis is an advantage but not required Strong analytical and problem-solving skills Excellent attention to detail and organizational abilities Good communication and teamwork skills Willingness to learn new technologies and analytical methods Educational background in Data Analytics, Business Analytics, Computer Science, Information Systems, Statistics, Mathematics, Economics, Finance, or a related field is preferred

Role Description This role is for an Entry-Level Data Analyst responsible for collecting, organizing, analyzing, and interpreting data to support business decisions and operational improvements. In this position, you will work with various datasets to identify trends, generate reports, and provide insights that help teams make informed decisions. As an Entry-Level Data Analyst, you will collaborate with business stakeholders, managers, and cross-functional teams to gather reporting requirements, maintain data accuracy, and prepare dashboards and performance reports. You will assist in monitoring key performance indicators (KPIs), validating data, and supporting ongoing analytical projects. The role involves cleaning and organizing data, performing routine analysis, creating visualizations, and documenting findings. You will also contribute to process improvements by identifying opportunities to enhance reporting efficiency and data quality. This position is ideal for recent graduates or candidates beginning their careers in data analytics. Strong analytical thinking, attention to detail, and a willingness to learn are essential for success. The Entry-Level Data Analyst plays an important role in helping organizations make data-driven decisions by delivering accurate analysis, reliable reporting, and actionable business insights. Key Responsibilities Collect, clean, and organize data from multiple sources Analyze datasets to identify trends and business insights Prepare reports, dashboards, and data visualizations Monitor key performance indicators (KPIs) and business metrics Validate data accuracy and maintain data quality standards Support business reporting and analytical projects Assist in documenting analytical processes and findings Collaborate with business and technical teams to support decision-making Identify opportunities to improve reporting efficiency and data processes Learn and apply new analytical tools and best practices Qualifications Basic knowledge of data analysis concepts and reporting techniques Proficiency in Microsoft Excel or similar spreadsheet software Familiarity with SQL is a plus Experience with Power BI, Tableau, or similar visualization tools is beneficial Basic knowledge of Python or R for data analysis is an advantage but not required Strong analytical and problem-solving skills Excellent attention to detail and organizational abilities Good communication and teamwork skills Willingness to learn new technologies and analytical methods Educational background in Data Analytics, Business Analytics, Computer Science, Information Systems, Statistics, Mathematics, Economics, Finance, or a related field is preferred

Role Description This role is for an Entry-Level Data Analyst responsible for collecting, organizing, analyzing, and interpreting data to support business decisions and operational improvements. In this position, you will work with various datasets to identify trends, generate reports, and provide insights that help teams make informed decisions. As an Entry-Level Data Analyst, you will collaborate with business stakeholders, managers, and cross-functional teams to gather reporting requirements, maintain data accuracy, and prepare dashboards and performance reports. You will assist in monitoring key performance indicators (KPIs), validating data, and supporting ongoing analytical projects. The role involves cleaning and organizing data, performing routine analysis, creating visualizations, and documenting findings. You will also contribute to process improvements by identifying opportunities to enhance reporting efficiency and data quality. This position is ideal for recent graduates or candidates beginning their careers in data analytics. Strong analytical thinking, attention to detail, and a willingness to learn are essential for success. The Entry-Level Data Analyst plays an important role in helping organizations make data-driven decisions by delivering accurate analysis, reliable reporting, and actionable business insights. Key Responsibilities Collect, clean, and organize data from multiple sources Analyze datasets to identify trends and business insights Prepare reports, dashboards, and data visualizations Monitor key performance indicators (KPIs) and business metrics Validate data accuracy and maintain data quality standards Support business reporting and analytical projects Assist in documenting analytical processes and findings Collaborate with business and technical teams to support decision-making Identify opportunities to improve reporting efficiency and data processes Learn and apply new analytical tools and best practices Qualifications Basic knowledge of data analysis concepts and reporting techniques Proficiency in Microsoft Excel or similar spreadsheet software Familiarity with SQL is a plus Experience with Power BI, Tableau, or similar visualization tools is beneficial Basic knowledge of Python or R for data analysis is an advantage but not required Strong analytical and problem-solving skills Excellent attention to detail and organizational abilities Good communication and teamwork skills Willingness to learn new technologies and analytical methods Educational background in Data Analytics, Business Analytics, Computer Science, Information Systems, Statistics, Mathematics, Economics, Finance, or a related field is preferred

Home Applied AI Solutions Industry Aligned Upskilling Skills Boost AiMinds Courses Data Analytics Machine Learning Deep Learning Coding Design Research Clean Technology Advanced Manufacturing IoT, 5G & Cybersecurity Business Intelligence Fin Tech Health Tech AgTech<br><br>Home Applied AI Solutions Industry Aligned Upskilling Skills Boost AiMinds Courses Data Analytics Machine Learning Deep Learning Coding Design Research Clean Technology Advanced Manufacturing IoT, 5G & Cybersecurity Business Intelligence Fin Tech Health Tech AgTech<br>Customer Segmentation<br><br>Work Integrated Learning Customer Segmentation<br><br>Customer Segmentation<br><br>What is the main goal for this project?<br><br>The goal of this project is to enhance our marketing campaigns through re-evaluating our customer segmentation. We would like to implement cutting edge technology to analyze our customer segmentation, relative to each of our products and services. From the analysis, we hope to gain insights that will enhance our strategy and help us refocus our product/service marketing.<br><br>Improving pricing and risk selection. Identifying trends and potential predictive mitigation strategies. Developing more sophisticated products and pricing models. Submitting recommendations based on the analysis.<br><br>Duties And Responsibilities<br><br>By the end of the project:<br><br>Current industry standard approaches to Data Analysis and Data Visualization techniques. Unsupervised Machine Learning techniques, Clustering Outlier detection and anomaly identification in the data Understanding of variables that affect the accuracy of the model. Identification of areas for future improvement of the model.<br><br>Final Deliverables Should Include<br><br>All source code. A written report explaining the design process and outcomes.<br><br>Skills To Be Developed<br><br>As part of doing this project, interns can expect to be upskilled on below:<br><br>Energy Management systems, Reinforcement learning algorithms like Q-learning. Python, Machine learning.<br><br>About The Project<br><br> 12 Weeks Marketing Virtual Self-Paced<br><br>Register Now<br><br>Register Now<br><br>Our mission is to equip individuals with in-demand STEM skills, foster Research and Development capabilities, and forge connections, opportunities and partnerships with leading businesses in Emerging Technologies such as Data Science, Machine Learning, Artificial Intelligence, and Virtual/Augmented Reality. These skills and research experiences are highly sought after in diverse sectors including Clean Tech, Advanced Manufacturing, Business Intelligence, Finance, and Healthcare.<br><br>Important Links<br><br>Applied AI Solutions Industry Aligned Upskilling Skillsboost AiMinds Courses Research Privacy Policy<br><br>Contact Info<br><br>Greater Chennai, Indiacontact@m2mtechconnect.com<br><br>Copyright © 2026 M2M Tech Designed By AiReach. All Rights Reserved

ADIC is seeking a Quantitative Researcher to join the Strategy team. The successful candidate will play a key role in supporting ADIC's investment process through quantitative research, model development, and AI-driven solutions.<br><br>This role offers the opportunity to contribute to investment decision-making across both public and private markets by developing systematic signals, valuation models, and portfolio construction tools. The successful candidate will work closely with investment professionals across the Strategy team to enhance quantitative capabilities and support the development of innovative investment solutions.<br><br>Key Responsibilities<br><br> Generate and test alpha signals and factor ideas across asset classes using statistical and machine learning techniques. Conduct quantitative research and develop valuation models across both public and private markets. Design, backtest, and evaluate quantitative models, systematic strategies, and portfolio construction frameworks. Build and enhance risk models, performance attribution frameworks, and investment analytics. Develop end-to-end quantitative tools and applications to support investment workflows, from data ingestion through to deployment. Partner with investment professionals across the Strategy team to deliver research, model specifications, and quantitative insights. Drive AI and machine learning initiatives, identifying opportunities to enhance research and investment processes. <br><br>Requirements<br><br>Experience<br><br> Minimum 5 years of relevant experience in quantitative research, systematic investing, portfolio construction, asset allocation, or investment strategy. Experience conducting quantitative research across public markets, with exposure to private markets considered advantageous. Proven experience designing, backtesting, and implementing quantitative models or systematic investment strategies. Experience applying AI and machine learning techniques to financial datasets and developing production-ready analytical tools. <br><br>Education<br><br> Bachelor's degree in Finance, Mathematics, Engineering, Computer Science, Statistics, Physics, or another quantitative discipline. Master's degree or PhD is considered a strong advantage. <br><br>Technical Skills & Knowledge<br><br> Strong programming skills in Python or another object-oriented language, with experience developing production-quality code. Good understanding of quantitative modelling, time-series analysis, factor models, and portfolio optimisation. Experience with machine learning frameworks such as scikit-learn, Tensor Flow or PyTorch. Knowledge of SQL, cloud platforms, and Git-based development practices. Strong understanding of financial markets, including equities, fixed income, private markets, and their application to portfolio management and asset allocation. Excellent analytical and communication skills, with the ability to present complex quantitative findings to investment stakeholders.

Job Description<br><br>About Wynn Al Marjan Island:<br><br>On schedule to open in the United Arab Emirates in 2027, Wynn Al Marjan Island has been created as an opulent and entertaining beachside destination for discerning guests to play and relax. Located less than 50 minutes from Dubai International Airport, this integrated resort offering 1,530 rooms and suites, 22 restaurants and lounges, a theatre, nightclub, and five-star spa is currently under construction on a picturesque island that gracefully curves into the Arabian Gulf<br><br>About The Position<br><br>Wynn Al Marjan Island is currently seeking a Software Engineer to join the IT Applications & Digital Products team<br><br>Responsibilities<br><br>The primary duties and responsibilities of this role are:<br><br> Design and develop cutting-edge services that transform the hospitality industry in the UAE using clean, well-tested code Participate in system design, code reviews, and architecture discussions, providing constructive feedback Ensure high standards of reliability, performance, security, scalability, and cost efficiency through reviews and testing Build service observability using metrics, dashboards, logging, and alerting to ensure operational visibility Lead and promote engineering best practices to continuously improve quality, delivery, and maintainability Manage incidents, problems, and changes effectively, including prioritization, escalation, root cause analysis, and resolution Drive automation and productivity improvements while communicating confidently and professionally with global technology and operations partners <br><br>About You<br><br>The ideal candidate for this position will have the following experience and qualifications:<br><br> 5+ years’ experience in software engineering using modern languages (C#, Java, Go, Python) 2+ years' proficiency in . NET/C# Skilled in distributed system architecture: microservices, event-driven design, and REST APIs Cloud platform experience (Azure, AWS) Strong knowledge of Postgre SQL and Redis Proficient in automated end-to-end testing Extensive experience with Docker, Terraform, IaC, Kubernetes, and familiarity with monitoring tools (Kibana, Data Dog, New Relic) <br><br>About Wynn Al Marjan Island’s Benefits<br><br>We offer an attractive salary, paid in Dirhams (AED), the local currency of the UAE. In addition, we offer an excellent leave policy, a healthcare package and as well as life insurance, incentive programs, and other employee benefits . The result is a package that makes this role highly attractive to outstanding applicant s seeking a career with Wynn Resorts, among the most renowned and celebrated brands in the global hospitality industry.

Who We Are!<br><br>Back in 2019, spider Silk was born with a bold idea: build regional, sovereign cybersecurity IP that could stand tall on the global stage.<br><br>Our mission? To shake up the way organizations protect their ever-changing digital worlds with continuous, intelligent, and autonomous security that doesn’t miss a beat.<br><br>We’re a global mix of curious minds, problem-solvers, and passionate builders, all united by one goal: making the internet a safer place for everyone. Around here, we thrive on vision, energy, and a strong sense of ownership.<br><br>If this feels like your kind of crew, you’ll probably fit right in.<br><br>About The Role<br><br>We are looking for a highly experienced Senior Security Analyst to lead and manage our internal security operations. With a decade of proven expertise, the successful candidate will take ownership of day-to-day monitoring, detection, incident response, and security tool optimization to ensure the organization’s resilience against evolving cyber threats. This role requires a strong ability to design, implement, and continuously improve security operations processes.<br><br>Key Responsibilities<br><br>Manage the organization’s internal security operations, ensuring continuous monitoring, detection, and response to threats. Lead the configuration, and optimization of Crowd Strike Falcon and Wazuh platforms. Oversee incident response activities, from triage through containment, eradication, and recovery. Perform in-depth analysis of security alerts, logs, and telemetry data to identify anomalies and potential intrusions. Develop and maintain playbooks, runbooks, and automation workflows to streamline SOC processes. Collaborate with IT, engineering, and business units to strengthen security controls across infrastructure, endpoints, and cloud services. Conduct threat hunting activities to proactively identify risks and vulnerabilities. Mentor junior analysts and foster a culture of continuous learning and knowledge sharing within the security team. Produce clear, actionable reports for technical and executive stakeholders on security posture, incidents, and improvements.<br><br>Qualifications<br><br>10+ years of experience in security operations, SOC, or a related cybersecurity function. Expertise in Crowd Strike Falcon and Wazuh, with hands-on deployment and operational experience. Strong background in incident response, threat hunting, and log analysis. Proficiency with SIEM, EDR, and other security monitoring technologies. Solid knowledge of network security, endpoint protection, and cloud environments (AWS, Azure, GCP preferred). Experience automating repetitive security workflows (Python, Bash, or similar scripting languages). Relevant certifications (e.g., OSCP, GCIA, GCIH, CISSP, or equivalent) are highly desirable. Strong analytical, communication, and leadership skills.

Role: Member of Technical Staff - Medical Research (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $350K - $500K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Member of Technical Staff, Medical Research to work on a full-time basis. The role involves designing and implementing computational methods to analyze medical data, developing algorithms for diagnostic and therapeutic applications, and contributing to peer-reviewed research publications in high-impact journals.<br>Key Responsibilities:• Design, develop, and validate machine learning models for medical imaging analysis and clinical decision support.• Collaborate with cross-functional teams including clinicians, data scientists, and software engineers to translate research into scalable solutions.• Publish findings in academic journals and present results at conferences to advance the state of medical research.• Optimize algorithms for performance, accuracy, and computational efficiency on large-scale medical datasets.• Contribute to the development of internal tools and frameworks that accelerate medical research workflows.<br>Required Skills & Qualifications:• PhD or equivalent experience in Computer Science, Biomedical Engineering, or a related field with a focus on medical applications.• Proven expertise in machine learning, deep learning, and statistical modeling applied to medical data.• Proficiency in programming languages such as Python, R, or Julia, with experience in medical data processing libraries (e.g., Tensor Flow, PyTorch, scikit-learn).• Experience with medical imaging data (e.g., MRI, CT, X-ray) and relevant toolkits (e.g., ITK, Simple ITK, MONAI).• Strong publication record in peer-reviewed medical or AI research journals.• Familiarity with healthcare data standards (e.g., DICOM, HL7) and regulatory compliance (e.g., HIPAA, GDPR).• Ability to work in a fast-paced research environment with iterative development cycles.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Biotechnology Research industry, contributing to breakthroughs in medical diagnostics and treatment optimization. The position combines cutting-edge AI research with real-world clinical impact, enabling the translation of academic findings into scalable healthcare solutions.<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: Senior QA Automation Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $80/hour<br>Role Overview:We are hiring for one of our clients, seeking a Senior QA Automation Engineer to design, implement, and maintain automated testing frameworks for high-impact software projects. The role involves collaborating with cross-functional teams to ensure software quality and reliability across multiple platforms and environments. Responsibilities include developing test scripts, analyzing test results, and identifying defects to improve system performance.<br>Key Responsibilities:• Design and develop automated test scripts using industry-standard frameworks such as Selenium, Cypress, or Playwright.• Execute and maintain automated test suites to validate software functionality, performance, and security.• Collaborate with developers and product teams to integrate testing into CI/CD pipelines and ensure continuous delivery.• Analyze test results, document defects, and work with engineering teams to resolve issues efficiently.• Mentor junior QA engineers and contribute to improving testing methodologies and best practices.<br>Required Skills & Qualifications:• Minimum 5 years of experience in QA automation engineering, with expertise in scripting languages like Python, Java, or Java Script.• Proficiency in automated testing tools such as Selenium Web Driver, Appium, or Postman for API testing.• Experience with test frameworks like Cucumber, JUnit, or Test NG for structured test execution.• Strong understanding of CI/CD tools such as Jenkins, Git Lab CI, or Circle CI for test automation integration.• Ability to analyze complex system behavior and troubleshoot automated test failures effectively.• Experience with performance and load testing tools such as JMeter or Gatling is a plus.• Familiarity with version control systems like Git and branching strategies for test code management.• Excellent problem-solving skills and attention to detail in validating software quality.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | IT Services and IT Consulting industry, contributing to the delivery of scalable and high-quality software solutions. The position involves direct impact on software reliability and performance across distributed teams.<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!

We are seeking a SOC Analyst – Digital Forensics & Incident Response to perform deep technical investigations, forensic analysis, and malware triage for complex security incidents. This role is critical in identifying root causes and strengthening incident response capabilities.<br>Key Responsibilities Incident Investigation: Conduct advanced analysis of escalated security incidents Digital Forensics: Perform evidence collection, preservation, and forensic triage Malware Analysis: Investigate suspicious files, processes, and execution patterns Threat Correlation: Analyze data across security tools (Crowd Strike, Forti Gate, AWS, Cloudflare, Mimecast, Netskope) Incident Reconstruction: Build timelines and determine the scope and impact of incidents Containment Support: Assist in response actions and coordinate with external forensic teams if needed Documentation: Maintain defensible records of findings and evidence handling Operational Support: Contribute to 24×7 SOC operations<br>Qualifications & Requirements5–7 years of experience in SOC/DFIR roles Strong expertise in digital forensics, incident response, and malware analysis Experience with endpoint, network, and cloud security tools Knowledge of host triage, process analysis, and forensic artifacts (Windows/Linux) Basic scripting skills (Power Shell/Python) preferred Certifications such as GCFA, GCFE, GCIH, CHFI, or SC-200 are preferred<br>About D24 Fintech D24 Fintech is a global technology provider building secure, scalable, and future-ready digital solutions for modern financial operations. We partner with clients to simplify payments and platforms, strengthen risk controls, and bring greater transparency to how finances move, delivering solutions engineered to the highest standards of security, reliability, and compliance.<br>At D24 Fintech, the bar is clear: we deliver, and we do it in cohesion.<br>We win together; no silos, no politics, just a team aligned on outcomes and stepping in where it matters. We own it, taking responsibility end-to-end and driving things forward. We lead with integrity first, being direct and transparent, and holding high standards in everything we do. We move at pace and with agility, focused on what matters, quick to adapt, and comfortable operating in a changing world. And we innovate by default, constantly finding better ways to build, deliver, and improve.<br>If you take pride in ownership, thrive in high-performance teams, and want to build alongside people who show up and pull their weight, you’ll feel at home here.

Technology Innovation Institute (TII) is a publicly funded research institute, based in Abu Dhabi, United Arab Emirates. It is home to a diverse community of leading scientists, engineers, mathematicians, and researchers from across the globe, transforming problems and roadblocks into pioneering research and technology prototypes that help move society ahead.<br><br>At TII, we help society to overcome its biggest hurdles through a rigorous approach to scientific discovery and inquiry, using state-of-the-art facilities and collaboration with leading international institutions. Our rigorous discovery and inquiry-based approach helps to forge new and disruptive breakthroughs in advanced materials, autonomous robotics, cryptography, cyber security, directed energy, quantum computing and secure systems.<br><br>This position is within our AI Research Center in TII.<br><br>Role Summary<br><br>The Lead Researcher will spearhead advanced AI research initiatives, driving innovation and contributing to the development of cutting-edge technologies. This role involves leading research projects from conception to completion, mentoring junior researchers, and collaborating with cross-functional teams to translate theoretical advancements into practical applications.<br><br>Key Responsibilities<br><br>Design and conduct original research in AI, including machine learning, deep learning, NLP, and computer vision. Oversee research projects, ensuring timely delivery and alignment with strategic objectives. Develop and implement novel algorithms and models for real-world applications. Stay current with advancements in AI and integrate emerging technologies into research. Work closely with engineers, data scientists, and product teams to apply research findings. Present research outcomes through reports, presentations, and publications in top-tier conferences. Guide and mentor junior researchers and interns on methodologies and project execution. Ensure adherence to ethical standards and responsible AI practices. <br><br>Qualifications<br><br>PhD in Computer Science, Artificial Intelligence, or related field. Minimum 5+ years of research experience in AI or related domains. Proven track record of publishing in peer-reviewed journals and conferences. Expertise in machine learning frameworks (Tensor Flow, PyTorch). Strong programming skills in Python, R, or Java. Familiarity with cloud platforms (AWS, GCP) and big data technologies. Excellent analytical, problem-solving, and communication skills. Ability to lead teams and manage complex projects. <br><br>Preferred Skills<br><br>Experience with reinforcement learning, generative AI, or multimodal systems. Knowledge of AI ethics and regulatory compliance. Grant writing and securing research funding.

Job Summary We are seeking an experienced Data & AI Senior Specialist to design, develop, and deliver enterprise AI and data solutions that support business transformation. This is a hands-on technical role responsible for building scalable data platforms, AI applications, machine learning models, and advanced analytics solutions while providing technical leadership and mentoring team members. The ideal candidate will have strong expertise in data engineering, cloud technologies, AI/ML, and Generative AI, with the ability to translate business requirements into innovative, production-ready solutions.<br>Key Responsibilities Design, develop, and maintain enterprise data platforms, data pipelines, data warehouses, and AI-driven solutions. Build, deploy, monitor, and optimize machine learning models, Generative AI applications, and advanced analytics solutions. Write production-quality code, develop prototypes, troubleshoot complex technical issues, and support critical AI and data systems. Define data architecture, engineering standards, AI frameworks, and best practices for coding, testing, security, MLOps, and data governance. Evaluate emerging technologies and provide recommendations on architecture, platforms, and technical solutions. Collaborate with business stakeholders to identify AI opportunities, define solution requirements, and deliver measurable business value. Present technical updates, risks, and recommendations to senior stakeholders. Mentor technical team members through code reviews, technical guidance, and knowledge sharing. Ensure compliance with data governance, information security, privacy regulations, and responsible AI practices. Drive continuous improvement in data quality, AI governance, and operational excellence.<br><br>Requirements Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related field (minimum 6 years' experience), or a Diploma with minimum 7 years' experience in Data Engineering, Data Science, Artificial Intelligence, or related disciplines. Proven experience delivering enterprise AI, machine learning, and data engineering solutions in production environments. Strong hands-on experience with Python, advanced SQL, machine learning, deep learning, NLP, Generative AI, LLMs, and Retrieval-Augmented Generation (RAG). Experience designing scalable ETL/ELT pipelines, enterprise data platforms, and cloud-based solutions using Azure, AWS, GCP, or OCI. Knowledge of MLOps, CI/CD, containerization, model deployment, monitoring, and data governance practices. Strong analytical, problem-solving, stakeholder management, and communication skills. Experience mentoring technical teams and working collaboratively across business and technology functions.