Python Developer Jobs in UAE

<p><strong>Job Purpose:</strong></p><p>The key purpose of the role is to have a domain lead responsible for the overall channels’ architecture, covering assisted and unassisted channels.</p><p>The person taking on the role is expected to have an in-depth understanding of all aspects of the digital technology such as Web, Mobile Apps, CMS, CDN, API Gateways as well as channel front- &amp; back-end technologies required to architect all channels, such as:</p><p>• retail [stores], POS, dealers, agent call center, kiosks</p><p>• mobile app, e-shop and self-service management,</p><p>• social media</p><p><br></p><p><strong>Technical Skills:</strong></p><p>• Development experience such as Java, Scala, Python, Spring, Angular, HTML5, CSS3</p><p>• Any: ecommerce (hybris, etc), Selfservice (oracle WCS), omni-channel (SAP/Netcracker/qvantel/ Oracle/Dynacommerce, cerillion), Mobile App development (iOS, Android), API Management Platform (e.g. Mulesfot, Dell Boomi, Oracle Fusion, MS Biztalk, Google/Apigee, Software AG, AWS Gateway, IBM API Connect)</p><p>• BSS applications &amp; integration experience: CRM, CPC, COM, CPQ</p><p>• CMS platforms: Drupal, Oracle, Liferay</p><p>• Mobile web (adaptive, responsive), Progressive Web App, mobile app (native, hybrid), APIs (RESTful/OData/JSON) and API design</p><p><br></p><p><strong>Soft Skills:</strong></p><p>• High tolerance for ambiguity – Have the ability to operate with flexibility in an uncertain environment, with multiple demands and be able to assess and evaluate the range of options that should be considered</p><p>• Be your own customer – Customers are our lifeblood. Without happy customers, we’re doomed. So considering the customer perspective - collectively, not just a handful - comes first</p><p>• Dare to be Different – Display grit without ego and be yourself</p><p>• Creative thinking – Continuous improvement is a shared responsibility. Action is an independent one</p><p>• Be the change you seek–You should have the courage and resourcefulness to spark change – to make better our products, our people, our environment and our company</p><p><br></p><p><strong>Qualifications:</strong></p><p>• Bachelor’s degree in a technical field (i.e. Computing)</p><p>• Technical certifications especially in vendor products is highly advantageous</p><p>• 10 to 15 years’ total work experience, with knowledge and experience in ICT, Telecom, and/or Tech professional services - B2B sector(s) preferred</p><p>• Experience of other sectors such as Digital banking/Fintech; Digital retail experience is highly desirable</p><p>• Identifying technology solutions to expand the channel footprint and penetration rate for unassisted and partner channels is of prime importance and the candidate is expected to have relevant cutting edge technology knowledge and experience in architecting such solutions</p><p>• Digital transformation – must have worked on legacy to ‘new era /digital’ transformation; including scoping MVP and MVA [minimum viable architecture]</p><p>• Proven experience in delivering solutions that are driving customer engagement, penetration and revenue on digital channels</p>

<p>About the Role</p><p>We are looking for a motivated <strong>Junior Network Security Engineer</strong> to join our infrastructure and security team. This role is ideal for someone with foundational experience in networking and firewall administration who is eager to grow into a full-fledged network security engineer. You will work closely with senior engineers to support, configure, and troubleshoot enterprise network and security infrastructure across on-premises and cloud environments.</p><p>Key Responsibilities</p><ul><li><p>Assist in configuring and maintaining Cisco routers, switches, and firewalls (ASA/Fortinet) under senior engineer guidance.</p></li><li><p>Support day-to-day monitoring of network and firewall health, escalating complex issues as needed.</p></li><li><p>Help implement and troubleshoot VPNs, basic firewall policies, NAT rules, and access control lists.</p></li><li><p>Participate in the deployment and support of Fortinet FortiGate firewalls, including basic policy and UTM profile configuration.</p></li><li><p>Assist with load balancer (F5/Citrix ADC) configuration tasks such as creating virtual servers, pools, and health monitors under supervision.</p></li><li><p>Support Azure cloud networking tasks — creating VMs, VNets, subnets, NSGs, and basic resource group management.</p></li><li><p>Contribute to documentation: configuration guides, network diagrams, and basic runbooks.</p></li><li><p>Assist with User Acceptance Testing (UAT) and operational readiness checks for new deployments.</p></li><li><p>Respond to and resolve tickets related to connectivity, VPN access, and basic network issues within SLA.</p></li><li><p>Manage Microsoft 365 / Azure Active Directory tasks such as user/device management and basic security settings.</p></li><li><p>Collaborate with senior engineers and cross-functional teams (infrastructure, vendors, stakeholders) on project delivery.</p></li><li><p>Continuously build technical knowledge through certifications and on-the-job mentorship.</p></li></ul><p>Required Qualifications</p><ul><li><p><strong>1–3 years</strong> of hands-on experience in network administration, IT support, or a junior network/security engineering role.</p></li><li><p>Working knowledge of networking fundamentals (TCP/IP, VLANs, routing/switching basics, DNS/DHCP).</p></li><li><p>Exposure to firewall technologies (Cisco ASA, Fortinet FortiGate, or similar).</p></li><li><p>Basic understanding of VPNs and remote connectivity concepts.</p></li><li><p>Familiarity with Microsoft 365 and Azure Active Directory administration.</p></li><li><p>Strong troubleshooting mindset and willingness to learn under pressure.</p></li><li><p>Good communication skills, both written and verbal (English required).</p></li><li><p>Bachelor's degree in Computer Science, IT, or a related field (or equivalent practical experience).</p></li></ul><p>Preferred / Nice-to-Have</p><ul><li><p>Entry-level certifications such as <strong>CCNA</strong>, <strong>Fortinet NSE1–3</strong>, or <strong>Microsoft Azure Fundamentals (AZ-900)</strong>.</p></li><li><p>Exposure to load balancers (F5, Citrix ADC) or SD-WAN concepts.</p></li><li><p>Basic scripting/automation exposure (PowerShell, Python, or Ansible).</p></li><li><p>Prior experience in a Service Desk, NOC, or technical support environment.</p></li><li><p>Familiarity with ITIL-based service management practices.</p></li></ul><br><p><strong>Desired Candidate Profile</strong></p><p>Key Skills</p><ul><li><p>Eagerness to learn and grow technically</p></li><li><p>Team player with a positive, proactive attitude</p></li><li><p>Strong attention to detail</p></li><li><p>Ability to follow documented procedures accurately</p></li><li><p>Good time management under SLA-driven environments</p></li></ul>

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer based in United Arab Emirates.<br><br>As a Software Engineer, you will design, develop, and maintain high-impact backend services that support secure and scalable digital financial solutions. You will take ownership of software components throughout the full development lifecycle, from architecture and implementation to production operations. Working within a fully remote, international engineering environment, you will collaborate with talented professionals across different countries and disciplines. This role offers the opportunity to solve complex technical challenges at the intersection of modern finance, blockchain technology, and cloud-based systems. You will contribute to products used by a global user base while continuously improving your skills through collaboration, mentorship, and hands-on experience. The position is ideal for engineers who are curious, proactive, and passionate about building reliable technology at scale.<br><br>Accountabilities<br><br>As a Software Engineer, you will be responsible for building secure, reliable, and scalable software solutions while collaborating with cross-functional teams to deliver impactful products. You will contribute to technical decisions, improve engineering practices, and take ownership of services throughout their lifecycle.<br><br>Design, develop, test, deploy, and maintain high-quality backend services and applications. Take ownership of software components from initial design through production monitoring and continuous improvement. Build secure, fault-tolerant, and scalable solutions designed to support large user bases. Collaborate with engineers, product teams, and business stakeholders to solve complex technical challenges. Contribute to architecture decisions, including microservices, cloud-native solutions, and distributed systems. Develop and maintain applications using modern engineering practices such as CI/CD, automated testing, and continuous delivery. Apply concepts such as Event-Driven Architecture and Domain-Driven Design to create maintainable systems. Participate in code reviews, technical discussions, and knowledge-sharing activities. Identify opportunities to improve system performance, reliability, and engineering processes. Work within one of several business domains, including wealth management, financial crime prevention, customer acquisition and retention, or money movement solutions.<br><br>Requirements<br><br>The ideal candidate has a strong software engineering foundation, enjoys solving complex technical problems, and thrives in collaborative, remote environments. You should be comfortable learning new technologies and contributing to systems where security, reliability, and scalability are critical.<br><br>Strong foundation in software engineering principles and experience with at least one programming language, preferably Python. Experience with backend development and building reliable software solutions. Basic understanding of microservices architecture, cloud-native patterns, and container-based applications. Familiarity with the full software development lifecycle, including testing, deployment, and maintenance. Understanding of CI/CD practices and automated testing approaches. Interest in modern software architecture concepts such as Event-Driven Architecture and Domain-Driven Design. Strong communication skills and ability to collaborate effectively within distributed teams. Proactive mindset with a willingness to learn, experiment, and solve challenging problems. Passion for technology and interest in the intersection of traditional finance and emerging digital assets. Experience with technologies such as AWS, Docker, Python frameworks (Django, Flask), MySQL, Mongo DB, Redis, Postgre SQL, Node.js, or similar tools is an advantage.<br><br>Benefits<br><br>Fully remote position with the flexibility to work from anywhere. Opportunity to contribute to globally impactful technology products. Flexible working schedule designed to support work-life balance. Flexible paid time off to help you recharge when needed. Collaborative environment with experienced engineers and opportunities for mentorship. Annual learning and development budget for books, courses, conferences, and professional growth. Opportunity to work with modern technologies across cloud infrastructure, backend systems, and financial technology. International team environment with exposure to diverse perspectives and global challenges.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer based in United Arab Emirates.<br><br>As a Software Engineer, you will design, develop, and maintain high-impact backend services that support secure and scalable digital financial solutions. You will take ownership of software components throughout the full development lifecycle, from architecture and implementation to production operations. Working within a fully remote, international engineering environment, you will collaborate with talented professionals across different countries and disciplines. This role offers the opportunity to solve complex technical challenges at the intersection of modern finance, blockchain technology, and cloud-based systems. You will contribute to products used by a global user base while continuously improving your skills through collaboration, mentorship, and hands-on experience. The position is ideal for engineers who are curious, proactive, and passionate about building reliable technology at scale.<br><br>Accountabilities<br><br>As a Software Engineer, you will be responsible for building secure, reliable, and scalable software solutions while collaborating with cross-functional teams to deliver impactful products. You will contribute to technical decisions, improve engineering practices, and take ownership of services throughout their lifecycle.<br><br>Design, develop, test, deploy, and maintain high-quality backend services and applications. Take ownership of software components from initial design through production monitoring and continuous improvement. Build secure, fault-tolerant, and scalable solutions designed to support large user bases. Collaborate with engineers, product teams, and business stakeholders to solve complex technical challenges. Contribute to architecture decisions, including microservices, cloud-native solutions, and distributed systems. Develop and maintain applications using modern engineering practices such as CI/CD, automated testing, and continuous delivery. Apply concepts such as Event-Driven Architecture and Domain-Driven Design to create maintainable systems. Participate in code reviews, technical discussions, and knowledge-sharing activities. Identify opportunities to improve system performance, reliability, and engineering processes. Work within one of several business domains, including wealth management, financial crime prevention, customer acquisition and retention, or money movement solutions.<br><br>Requirements<br><br>The ideal candidate has a strong software engineering foundation, enjoys solving complex technical problems, and thrives in collaborative, remote environments. You should be comfortable learning new technologies and contributing to systems where security, reliability, and scalability are critical.<br><br>Strong foundation in software engineering principles and experience with at least one programming language, preferably Python. Experience with backend development and building reliable software solutions. Basic understanding of microservices architecture, cloud-native patterns, and container-based applications. Familiarity with the full software development lifecycle, including testing, deployment, and maintenance. Understanding of CI/CD practices and automated testing approaches. Interest in modern software architecture concepts such as Event-Driven Architecture and Domain-Driven Design. Strong communication skills and ability to collaborate effectively within distributed teams. Proactive mindset with a willingness to learn, experiment, and solve challenging problems. Passion for technology and interest in the intersection of traditional finance and emerging digital assets. Experience with technologies such as AWS, Docker, Python frameworks (Django, Flask), MySQL, Mongo DB, Redis, Postgre SQL, Node.js, or similar tools is an advantage.<br><br>Benefits<br><br>Fully remote position with the flexibility to work from anywhere. Opportunity to contribute to globally impactful technology products. Flexible working schedule designed to support work-life balance. Flexible paid time off to help you recharge when needed. Collaborative environment with experienced engineers and opportunities for mentorship. Annual learning and development budget for books, courses, conferences, and professional growth. Opportunity to work with modern technologies across cloud infrastructure, backend systems, and financial technology. International team environment with exposure to diverse perspectives and global challenges.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

<ul><li><p>Designs, develops, and optimizes AI Products for the Bank, collaborating</p><p>with cross-functional teams to deliver seamless and engaging user experiences</p><p>KEY RESPONSIBILITIES</p><ul><li><p>Develop robust full-stack applications and APIs using modern interfaces and</p></li></ul><p>event-drive and api-first backend services</p><ul><li><p>Build reusable components and libraries using modern frameworks</p></li><li><p>Build cloud-native applications leveraging Microsoft Azure or other major</p></li></ul><p>cloud services</p><ul><li><p>Optimize application frontend and backend for usability, performance,</p></li></ul><p>scalability, and security.</p><ul><li><p>Implement data protection measures, authentication protocols, and security</p></li></ul><p>best practices</p><ul><li><p>Collaborate with UI/UX designers, backend engineers, and product</p></li></ul><p>managers on refining features</p><ul><li><p>Collaborate with Data Scientist and Data Engineers to improve the Data</p></li></ul><p>Quality and Insights.</p><ul><li><p>Write unit, integration, and end-to-end tests to maintain code quality and</p></li></ul><p>reliability</p><ul><li><p>Stay updated with industry trends, tools, and best practices</p></li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>5+ years of experience in Product development, preferrable AI Products</p><ul><li><p>Strong expertise in full-stack on Backend and/or Frontend development</p></li><li><p>Experience with modern technologies like Python, Rust Golang,</p></li></ul><p>React, Angular, Vue.js, or similar</p><ul><li><p>Skilled in designing and integrating secure, production-grade APIs, including</p></li></ul><p>API versioning, observability (monitoring, tracing, logging and implementing</p><p>modern authentication mechanism</p><ul><li><p>Hands-on experience with containerization and orchestration (Docker,</p></li></ul><p>Kubernetes)</p><ul><li><p>AI/ ML, GenAI, and agentic frameworks (LangGraph, Microsoft Agent</p></li></ul><p>Framework, etc.) experience a bonus</p><ul><li><p>Familiarity with CI/CD, version control, and deployment automation</p></li><li><p>Educational qualifications: Bachelor’s degree in Computer Science,</p></li></ul><p>Engineering, or related field required</p><p>Work Experience</p><p>7-10Years</p></li></ul>

<ul><li><p>Designs and develops scalable machine learning models and AI-driven</p><p>solutions to address complex business challenges and enhance decision-</p><p>making processes</p><p>KEY RESPONSIBILITIE S</p><ul><li><p>Work with large and complex data sets to solve challenging business</p></li></ul><p>problems</p><ul><li><p>Collect, clean, and preprocess large datasets for analysis & model training</p></li><li><p>Perform exploratory data analysis (EDA) to uncover insights and inform model</p></li></ul><p>development</p><ul><li><p>Develop, train, and optimize machine learning models using state-of-the-art</p></li></ul><p>algorithms and frameworks</p><ul><li><p>Build end-to-end ML pipelines, including data ingestion, transformation, model</p></li></ul><p>training, validation, and deployment</p><ul><li><p>Automate workflows for model training, testing, and deployment using</p></li></ul><p>CI/CD pipelines and MLOps tools</p><ul><li><p>Collaborate with cross-functional teams to integrate models into applications</p></li></ul><p>and deliver end-to-end solutions</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>5 years of experience in data science, machine learning, or AI</p><ul><li><p>Expertise in supervised/unsupervised learning, deep learning, NLP, computer</p></li></ul><p>vision, or generative AI (e.g., LLMs).</p><ul><li><p>Strong proficiency in Python and/or R; familiarity with SQL for data querying</p></li><li><p>Ability to build data pipelines (Spark, Airflow, Hadoop) and work with big data</p></li></ul><p>tools</p><ul><li><p>Understanding of model serving, API development (FastAPI, Flask), and</p></li></ul><p>optimizing model performance for real-time or batch inference.</p><ul><li><p>Knowledge of Docker, Kubernetes, CI/CD pipelines, and tools like</p></li></ul><p>MLflow/Kubeflow for model lifecycle management (MLOps)</p><p>Classified: Internal\ FAB.</p><p>Internal</p><ul><li><p>Experience deploying models on AWS, Google Cloud, Azure, or similar (e.g.,</p></li></ul><p>Sagemaker, Vertex AI)</p><ul><li><p>Educational qualifications: Master in Computer Science or a related field</p></li></ul><p>Work Experience</p><p>5-7Years</p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Job Description:</strong></p><br><p>The Satellite Data Specialist will be responsible for analyzing satellite data, managing the processing and distribution of payload data and images, and actively participating in satellite operations, including mission planning and satellite pass imaging. This role involves developing image processing algorithms, refining data processing techniques, and ensuring accurate and timely delivery of processed data to stakeholders. Tasks and Responsibilities: - Analyze raw satellite data and transform it into useful, actionable information for stakeholders. - Develop and implement algorithms for image processing and data analysis. - Manage the processing, storage, and distribution of satellite payload data and images. - Ensure data quality through continuous monitoring and refinement of processing techniques. - Conduct mission planning and support satellite operations, including planning for satellite passes and capturing relevant data during these passes. - Coordinate with the operations team to ensure successful execution of satellite imaging during passes. - Generate reports, visualizations, and analyses based on satellite data for both internal and external use. - Troubleshoot data-related issues, optimize data flows, and ensure smooth data processing operations. - Stay updated on the latest technologies and advancements in satellite data analysis and remote sensing. </p><br><p><strong>Minimum Qualifications:</strong></p><br><p>- Bachelorâs degree in Data Science, Remote Sensing, Geospatial Science, or a related field. </p><br><p><strong>Preferred Qualifications:</strong></p><br><p>- Basic knowledge of satellite data, GIS, and mission planning. - Familiarity with data analysis tools like Python or similar programming languages. - Eagerness to learn satellite pass operations and data processing techniques. </p><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>· Design, develop, and maintain robust, scalable data pipelines using Azure Data Factory (ADF) and Databricks · Implement batch and real-time data ingestion frameworks leveraging Confluent Kafka · Build and optimize data models, transformations, and ETL/ELT pipelines using SQL and Spark · Develop and manage data storage solutions in Azure Data Lake Storage (ADLS) · Ensure high data quality, integrity, and governance standards · Support data integration across systems including core banking and CRM · Optimize performance of large-scale datasets · Collaborate with stakeholders to translate requirements into solutions · Ensure compliance with banking regulations and data privacy · Troubleshoot production issues</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Required Skills &amp; Experience · Strong expertise in SQL (complex queries, tuning, modeling) · Hands-on experience with Databricks, Spark, PySpark · Experience with Confluent Kafka and event-driven architecture · Experience with Azure Data Factory (ADF) · Experience with Azure Data Lake Storage (ADLS) · Understanding of data warehousing concepts · Familiarity with CI/CD and DevOps for data platforms Domain Knowledge (Preferred) · Experience in banking or financial services · Understanding of core banking systems · Knowledge of payments, lending, wealth management · Awareness of regulatory frameworks (KYC, AML) Soft Skills · Strong analytical and problem-solving skills · Excellent communication and stakeholder engagement · Ability to work in fast-paced environments · Strong ownership and collaboration mindset Qualifications · Bachelor’s or Master’s degree in relevant field · Azure/Data engineering certifications preferred Good to Have · Experience with Python or Scala · Exposure to data governance tools · Knowledge of APIs and microservices · Experience with BI tools like Power BI</p></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>· Design, develop, and configure Kong entities (services, routes, plugins, caching, API management, etc.). · Develop custom Lua scripts for advanced functionality. · Integrate Kong with existing APIs and backend systems. · Manage API security, including authentication, authorization, and rate limiting. · Implement traffic management features like load balancing and caching. · Monitor, alert, and debug Kong performance and troubleshoot any issues. · Automate Kong configurations as part of a DevOps pipeline. · Develop and maintain API documentation using the Kong Developer Portal. · Stay up-to-date on the latest Kong features and best practices. · Create, customize, and maintain Kong plugins to extend capabilities. Implement request and response transformations based on customer needs. · Apply Role-Based Access Control (RBAC) for securing API endpoints.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>· Bachelor’s degree in Computer Science, Information Technology, or a related field. · Proven experience as a Kong Administrator and Developer, with a deep understanding of Kong's architecture and functionalities. · Strong understanding of API design principles (RESTful APIs, OpenAPI specifications). · Experience with web services and micro services architectures. · Proficiency in scripting languages (e.g., Lua, Python). · Experience with DevOps principles and tools (e.g., Git, CI/CD). · Excellent problem-solving and debugging skills. · Strong communication and collaboration skills. · Certifications in Kong or equivalent. · Solid understanding of Role-Based Access Control (RBAC) implementations. · Experience with Kubernetes and Kong Ingress. · Experience with cloud platforms (AWS, Azure, GCP). · Experience with API security tools (e.g., OAuth, OIDC, Auth0). · Experience with API testing tools (e.g., Postman, JMeter, Insomnia).</p></li></ul><p></p></section>

<ul><li><p>Provide day-to-day operational support for security controls, including network firewalls, web application firewalls, cloud security groups and native cloud security services.</p></li><li><p>Participate in monitoring and documenting security incidents, provide incident response and manage escalations appropriately.</p></li><li><p>Support vulnerability management processes by maintaining systems and tools to their latest stable releases, participating in remediation efforts and coordinating with governance teams.</p></li><li><p>Participate in implanting new controls, automate routine tasks, contribute to security projects, support internal reviews and audits.</p></li><li><p>Collaborate with InfraOps, governance, DevOps and business teams to integrate security best practices in IT and business operations.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p><strong>Required Skills to be successful</strong></p><ul><li><p>Strong analytical and problem-solving skills with attention to detail.</p></li><li><p>Effective communication and collaboration with technical and non-technical teams.</p></li><li><p>Commitment to continuous learning, ability to work independently and in a team setting.</p></li></ul><br><p><strong>What equips you for the role</strong></p><ul><li><p>Bachelor’s degree in computer science, Information Technology, Cybersecurity or a related field.</p></li><li><p>1-3 years of work experience in IT Security, network administration, cloud ops or a similar role.</p></li><li><p>Good understanding of cybersecurity principles and cloud platforms (Azure, OCI, AWS) and basic understanding of cloud-native security features such as Defender for Cloud, IAM, Security Groups, Guard Duty, Sentinel.</p></li><li><p>Hands-on Exposure to security tools such as firewalls (e.g. Cisco, Palo Alto, Checkpoint, Fortinet), WAF (Cloudflare, f5, Imperva), cloud security controls.</p></li><li><p>Basic knowledge of networking concepts, security principles (e.g. Zero Trust, Lease Privilege) and common threats (e.g. DDoS, SQL injection).</p></li><li><p>Experience with scripting languages (Python, PowerShell) and automation tools (Terraform) is a plus.</p></li></ul></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Summary: We are seeking an experienced SIEM Deployment Engineer to lead or support the deployment, configuration, and optimization of Splunk or SIEM solutions across enterprise environments.<br> The ideal candidate will possess strong technical knowledge in security operations, log management, and compliance, along with hands-on experience in implementing for clients.<br> Key Responsibilities: Lead end-to-end deployment of Splunk or SIEM platform, including planning, architecture design, installation, configuration, and tuning.<br> Integrate log sources from various platforms (Windows, Linux, firewalls, routers, endpoint protection, etc.<br>). Develop custom parsers and log normalization rules.<br> Build correlation rules, alerts, dashboards, and reports based on customer requirements.<br> Conduct use case development, threat detection tuning, and optimization of false positives.<br> Collaborate with SOC teams to ensure effective threat monitoring and incident detection.<br> Document implementation procedures, configuration guides, and troubleshooting steps.<br> Provide knowledge transfer and training to internal teams or clients.<br> Ensure compliance with industry standards (e.<br>g., NCA ECC, SAMA CSF, ISO 27001).<br> Required Skills and Qualifications: Bachelor’s degree in Computer Science, Cybersecurity, or related field.<br> 8-10 years of experience in Splunk or SIEM deployment and cybersecurity.<br> Proven experience with LogRhythm SIEM deployment in enterprise environments.<br> Strong understanding of log analysis, incident response, and threat detection.<br> Familiarity with log source integration: Windows Event Logs, Syslog, NetFlow, etc.<br> Scripting experience (PowerShell, Python, etc.<br>) is a plus.<br> Knowledge of cybersecurity frameworks (MITRE ATT&amp;CK, NIST, etc.<br>) is an advantage.<br> LogRhythm certifications (e.<br>g., LogRhythm Deployment Fundamentals, LogRhythm Analyst) are a strong plus.<br></span> </div>

<ul><li>Design, develop, and maintain robust, scalable web applications across the entire technology stack.</li><li>Write clean, efficient, and well-documented code for both front-end and back-end systems.</li><li>Collaborate with product managers and designers to translate user requirements into functional features.</li><li>Implement and manage databases, ensuring data integrity and optimal performance.</li><li>Develop and integrate APIs for seamless communication between different services and applications.</li><li>Conduct thorough testing, including unit, integration, and end-to-end tests, to ensure application quality.</li><li>Troubleshoot and debug complex issues, identifying root causes and implementing effective solutions.</li><li>Optimize application performance for speed, scalability, and user experience.</li><li>Stay abreast of emerging technologies and industry best practices to continuously improve development processes.</li><li>Participate in code reviews, providing constructive feedback to peers and fostering a collaborative environment.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.</p></li><li><p>2 to 5 years of professional experience in full-stack web development.</p></li><li><p>Proficiency in at least one modern front-end framework (e.g., React, Angular, Vue.js) and back-end language (e.g., Node.js, Python, Java, Ruby).</p></li><li><p>Strong understanding of database technologies (SQL and NoSQL) and data modeling.</p></li><li><p>Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).</p></li><li><p>Excellent problem-solving and analytical skills to tackle complex technical challenges.</p></li><li><p>Effective communication and collaboration skills to work within a team and with stakeholders.</p></li><li><p>A proactive mindset with a passion for learning and adapting to new technologies.</p></li><li><p>Experience with Agile development methodologies.</p></li><li><p>Portfolio showcasing successful full-stack projects and contributions.</p></li></ul>

<ul><li><p>Build and maintain high-performance automation and data extraction systems for dynamic, high-demand platforms.</p></li><li><p>Design scalable solutions for high-traffic events and time-critical releases.</p></li><li><p>Reverse engineer web apps, APIs, and client-side JavaScript to understand workflows and network behavior.</p></li><li><p>Research anti-bot protections and implement reliable bypass strategies for evolving security systems.</p></li><li><p>Work with DataDome, Queue-it, CAPTCHA systems, CDNs, and other anti-automation technologies.</p></li><li><p>Develop browser and HTTP automation handling authentication, sessions, cookies, and fingerprinting.</p></li><li><p>Optimize performance, speed, reliability, and resource usage.</p></li><li><p>Monitor production systems, quickly identify issues, and deploy fixes with minimal downtime.</p></li><li><p>Build internal tools to improve reliability, monitoring, and efficiency.</p></li><li><p>Collaborate with engineering teams to adapt to platform changes and improve performance.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Expert-level Python and JavaScript.</p></li><li><p>Strong experience in advanced web scraping and browser automation.</p></li><li><p>Deep understanding of reverse engineering web apps and APIs.</p></li><li><p>Experience with:</p></li><li><p>DataDome</p></li><li><p>Queue-it</p></li><li><p>CAPTCHA systems</p></li><li><p>CDN/WAF protections</p></li><li><p>Browser fingerprinting</p></li><li><p>Proxy/IP management</p></li><li><p>Session and cookie handling</p></li><li><p>Experience with Playwright, Puppeteer, Selenium, or similar tools.</p></li><li><p>Strong knowledge of HTTP/HTTPS, WebSockets, REST, GraphQL, JSON, and async programming.</p></li><li><p>Excellent debugging and analytical skills.</p></li></ul><p>Preferred Qualifications</p><ul><li><p>Experience with distributed automation systems.</p></li><li><p>Familiarity with Docker, Linux, Git, and cloud infrastructure.</p></li><li><p>Understanding of HTTP/2, HTTP/3, TLS, and browser internals.</p></li><li><p>Experience maintaining production-grade, high-availability systems.</p></li></ul><p>What We're Looking For</p><ul><li><p>Strong research and problem-solving abilities.</p></li><li><p>Fast adaptation to changing anti-bot systems and web architectures.</p></li><li><p>Self-driven and able to work independently.</p></li><li><p>High attention to detail and reliability.</p></li><li><p>Ability to perform under tight deadlines and high-pressure conditions.</p></li></ul>

<ul><li><p>Design, build, and maintain automation workflows that connect AI models to business processes</p></li><li><p>Build and maintain internal knowledge systems and knowledge bases</p></li><li><p>Configure and maintain MCP (Model Context Protocol) integrations and other AI tool connections</p></li><li><p>Connect and maintain databases, and build reliable data pipelines between systems</p></li><li><p>Build and maintain internal dashboards and reporting tools</p></li><li><p>Integrate third-party APIs and tools into existing systems and workflows</p></li><li><p>Take a described business process or project brief and independently deliver a working solution end to end</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Hands-on experience with Claude (Anthropic), including Claude Code, the Claude Agent SDK/API, prompt design, and tool-using agents</p></li><li><p>Experience building or configuring MCP (Model Context Protocol) integrations</p></li><li><p>Working knowledge of other leading AI models (e.g. GPT, Gemini) and the judgment to select the right tool for a task</p></li><li><p>Experience building automations and agentic workflows using APIs, webhooks, schedulers, and event triggers</p></li><li><p>Proficiency in SQL and experience working with production or read-replica databases</p></li><li><p>Experience building dashboards and reports directly from underlying data</p></li><li><p>Proficient in at least one programming or scripting language (e.g. Python, JavaScript/TypeScript)</p></li><li><p>Comfortable with Git and standard version control practices</p></li><li><p>Able to read and safely modify an existing codebase</p></li><li><p>3+ years of hands-on experience building software, automations, or AI-integrated tools</p></li><li><p>Experience working across multiple countries, currencies, or regulatory environments</p></li><li><p>Familiarity with real-time data pipelines or feeds</p></li><li><p>Experience in fintech, payments, or another regulated industry</p></li><li><p>Experience building internal tools independently in a lean or fast-moving environment</p></li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Job Title: Clinical Research Specialist (Biostatistics &amp; Scientific Writing)</strong></p><p><strong>Department:</strong> Clinical Research <br><strong>Reports to:</strong> Laboratory Director / Research Lead</p><p><strong>Job Summary</strong></p><p>We are looking for a Clinical Research Specialist to support our research activities by managing clinical data, performing statistical analysis, and preparing scientific publications. The candidate will work closely with clinical and laboratory teams to convert research data into manuscripts, abstracts, and conference presentations.</p><p><strong>Main Responsibilities</strong></p><ul><li><p>Collect, organize, and analyze clinical and laboratory research data.</p></li><li><p>Perform statistical analysis using software such as SPSS, R, Python, GraphPad Prism, or similar.</p></li><li><p>Prepare scientific manuscripts for peer-reviewed journals.</p></li><li><p>Write conference abstracts, posters, and presentations.</p></li><li><p>Conduct literature reviews and summarize scientific evidence.</p></li><li><p>Assist in designing clinical research studies and research protocols.</p></li><li><p>Coordinate research projects between clinical, laboratory, and genetics teams.</p></li><li><p>Support ethics/IRB submissions and maintain research documentation.</p><ul><li><p>Identify new research opportunities from available clinical data.</p></li></ul></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Master’s degree preferred (Bachelor’s degree may be considered) in:</p><ul><li><p>Biostatistics</p></li><li><p>Epidemiology</p></li><li><p>Public Health</p></li><li><p>Biomedical Sciences</p></li><li><p>Life Sciences or related fields</p></li></ul></li></ul><p><strong>Required Experience</strong></p><ul><li><p>Experience in clinical research and scientific publications.</p></li><li><p>Strong background in medical statistics and data analysis.</p></li><li><p>Previous involvement in published research papers is preferred.</p></li><li><p>Experience with healthcare or clinical databases.</p></li></ul><p><strong>Required Skills</strong></p><ul><li><p>Excellent scientific writing skills in English.</p></li><li><p>Strong statistical and analytical ability.</p></li><li><p>Ability to prepare publication-quality tables and figures.</p></li><li><p>Good understanding of research methodology.</p></li><li><p>Ability to work independently and manage multiple projects.</p></li></ul><p><strong>Preferred Experience</strong></p><ul><li><p>IVF, reproductive medicine, genetics, or laboratory research experience.</p></li><li><p>Experience with EndNote/Mendeley and research software.</p></li></ul><br><p></p></section>

<p>Role Overview The successful candidate will be responsible for monitoring and analysing market price exposure across the trading portfolio, ensuring risks are accurately measured, reported, and managed within approved limits. The position combines quantitative analysis, risk modelling, valuation oversight, and close collaboration with trading, treasury, finance, and product control teams. Key Responsibilities: Maintain and enhance the market risk framework, ensuring trading exposures are accurately measured, monitored, and reported against approved limits. Manage and develop VaR models, including calculation, reporting, validation, and back-testing. Conduct stress testing and scenario analysis to assess portfolio risk and support management decision-making. Partner with Product Control and Front Office teams on valuation methodologies, market data selection, and forward curve construction. Support the onboarding of new products, markets, and trading instruments from a risk management perspective. Assist with liquidity risk monitoring, margin-at-risk analysis, and treasury-related risk activities. Assess counterparty credit exposures through stress testing and forward-looking risk analysis. Support the implementation and maintenance of Independent Price Verification (IPV) processes for market data and valuations.</p><p>Approximately 5+ years of experience in market risk or product control within a commodities trading environment, preferably with exposure to oil or refined products trading. Experience working within a fast-paced trading organisation, balancing commercial support with strong risk governance and control standards. Strong quantitative and analytical skills, with the ability to interpret and communicate complex risk information to traders and senior stakeholders. Advanced proficiency in Excel/VBA; experience with SQL and Python would be advantageous. Excellent written and verbal communication skills in English.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for Applied Scientists across different experience levels to design, develop, experiment with, and evaluate advanced AI/ML solutions that solve real-world business problems.<br> The role involves taking machine learning problems from problem framing and experimentation through model development, evaluation, and production deployment .<br> Depending on experience, the successful candidate may also contribute to scientific leadership, mentor other team members, and help establish best practices across applied research and machine learning delivery.<br> We are looking for candidates with strong foundations in machine learning who can balance state-of-the-art techniques with practical business requirements , delivering reliable and measurable AI/ML solutions.<br> Key Responsibilities Translate business problems into well-defined machine learning problems with clear objectives and measurable success criteria.<br> Design, develop, train, and evaluate machine learning and AI models based on business requirements.<br> Apply appropriate techniques across areas including: Classical Machine Learning Deep Learning Natural Language Processing (NLP) Computer Vision Generative AI Large Language Models (LLMs) Define experimentation strategies, establish appropriate baselines, and conduct rigorous model evaluation.<br> Perform statistical analysis, experimentation, error analysis, and model validation to assess model performance.<br> Work closely with Data Engineers to define data requirements, feature pipelines, and dataset quality standards.<br> Collaborate with Software Engineering and MLOps teams to productionise machine learning models and AI solutions .<br> Contribute to model monitoring, performance tracking, model lifecycle management, and continuous improvement.<br> Apply responsible AI principles, considering fairness, explainability, robustness, privacy, and reliability .<br> Communicate technical findings, experimental results, trade-offs, and recommendations clearly to both technical and non-technical stakeholders.<br> Contribute to technical documentation, research, experimentation, and knowledge-sharing activities.<br> For experienced candidates, provide scientific leadership, review ML work, mentor junior scientists, and help raise the overall technical standard of the team.<br> Required Technical SkillsMachine Learning &amp; AI Strong understanding of machine learning and deep learning concepts, including experience with relevant techniques across: Supervised and unsupervised learning Classification and regression Model evaluation and validation Feature engineering Deep learning NLP Computer Vision Generative AI / LLM-based applications The specific depth expected will vary based on the candidate's experience level.<br> ML Frameworks Experience with one or more of the following: PyTorch TensorFlow scikit-learn Strong candidates should demonstrate the ability to select appropriate frameworks and modelling approaches based on the problem being solved.<br> Programming Strong proficiency in Python .<br> Experience developing machine learning experimentation and modelling workflows.<br> Ability to write clean, maintainable, and reproducible code.<br> Experimentation &amp; Model Evaluation Strong understanding of experimental design.<br> Statistical analysis and hypothesis-driven experimentation.<br> Model evaluation and benchmarking.<br> Baseline development.<br> Error analysis.<br> Model validation and performance optimization.<br> Production ML &amp; MLOps Experience with taking ML models or AI solutions from experimentation into production, including: Model deployment Model monitoring Model lifecycle management MLOps workflows Collaboration with engineering and data teams Cloud-based machine learning environments Experience with cloud ML platforms and MLOps tooling is highly desirable.<br> Generative AI / LLM Experience Experience with Generative AI and LLM-based solutions will be highly valued, particularly experience taking such solutions beyond experimentation into production.<br> Relevant experience may include: LLM-based applications Generative AI solutions Model evaluation Prompt-based experimentation AI application development Production deployment and monitoring of GenAI solutions Responsible AI Candidates should understand the importance of responsible AI and, where relevant, demonstrate experience considering: Fairness Explainability Robustness Privacy Model reliability Responsible model deployment Collaboration &amp; Stakeholder Management Work closely with Data Engineers, Software Engineers, MLOps teams, Product teams, and business stakeholders .<br> Clearly communicate technical findings and modelling trade-offs.<br> Translate complex scientific concepts into understandable recommendations for non-technical stakeholders.<br> Collaborate effectively in cross-functional and Agile environments.<br> Leadership &amp; Mentoring For experienced candidates: Provide scientific leadership within the squad.<br> Review modelling approaches and scientific work.<br> Mentor Applied Scientists and junior ML practitioners.<br> Establish and promote strong experimentation and modelling practices.<br> Contribute to the overall applied research and machine learning standards of the team.<br> For junior candidates, prior mentoring or leadership experience is not mandatory.<br> Qualifications MSc or PhD in: Computer Science Machine Learning Artificial Intelligence Statistics Mathematics Data Science or another relevant quantitative discipline Equivalent practical industry experience may also be considered.<br> Experience Levels We welcome candidates across 0–15+ years of experience .<br> Junior / Entry-Level Suitable candidates may have: Strong academic foundation in ML/AI.<br> Relevant MSc/PhD or equivalent project experience.<br> Strong Python and ML framework knowledge.<br> Research, thesis, internship, or practical ML project experience.<br> Mid-Level Candidates should demonstrate: Independent ML model development.<br> Strong experimentation and evaluation experience.<br> Experience working with data and engineering teams.<br> Exposure to production ML or MLOps environments.<br> Senior / Lead-Level Candidates should additionally demonstrate: End-to-end ownership of production ML solutions.<br> Strong scientific and technical leadership.<br> Experience with GenAI/LLM applications where relevant.<br> Mentoring and scientific review capabilities.<br> Strong stakeholder communication and decision-making skills.<br></span> </div>

Senior Data Engineer12 month extendable contract Abu Dhabi | Office Based I am seeking an experienced Senior Data Engineer to join a growing data and analytics team responsible for building scalable, secure, and high-performance data platforms. The successful candidate will design, develop, and optimize modern data solutions that support advanced analytics, business intelligence, and machine learning initiatives. This role requires expertise in large-scale data engineering, cloud technologies, and modern data architectures, with a strong focus on reliability, performance, security, and data governance.<br>Key Responsibilities Design, develop, and maintain scalable data pipelines and ETL/ELT processes to ingest, transform, and process large-scale datasets. Build and optimize data processing frameworks using technologies such as Spark, Delta Lake, Kafka, and other modern big data platforms. Develop and maintain data models, schemas, data lakes, lakehouses, and data warehouses that support analytics and reporting requirements. Implement data quality, validation, monitoring, and observability frameworks to ensure data accuracy and reliability. Design and support real-time and batch data processing solutions using streaming technologies and distributed systems. Ensure compliance with security, privacy, access control, and regulatory requirements for sensitive data. Collaborate closely with data scientists, analysts, architects, and business stakeholders to deliver high-value data products and services. Manage and enhance distributed data platforms to ensure scalability, availability, and performance. Contribute to data governance, master data management, metadata management, and data catalog initiatives. Stay current with emerging technologies, industry best practices, and innovations in cloud and data engineering.<br>Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Minimum 5 years of experience designing, building, and operating enterprise-scale data platforms and pipelines. Strong proficiency in SQL and Python. Hands-on experience with Apache Spark, distributed data processing frameworks, workflow orchestration tools, and messaging platforms such as Kafka. Experience with cloud-based data solutions on Azure, AWS, or Google Cloud Platform. Strong knowledge of data warehousing, data lakes, lakehouse architectures, and data modeling methodologies. Experience working with containerization and orchestration technologies such as Docker and Kubernetes. Understanding of data governance, data quality, security, and privacy best practices. Strong analytical, problem-solving, and communication skills. Senior Data Engineer in Abu Dhabi, United Arab Emirates

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!

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!