Python Developer Jobs in UAE

<p>This is a strategic leadership position with a strong hands-on focus, responsible for defining and executing the organisation's AI vision while building practical AI solutions that create measurable business value. Client Details A leading organisation undergoing a significant digital transformation, investing heavily in data, artificial intelligence, and emerging technologies. Description * Define and execute the enterprise AI strategy, driving adoption of Machine Learning, Generative AI, and advanced analytics across the organisation. Lead the design, development, and deployment of AI solutions, including LLM-powered applications, predictive models, intelligent automation, and AI agents. * Establish AI engineering best practices covering MLOps, model governance, monitoring, explainability, security, and responsible AI. * Partner with business stakeholders to identify, prioritise, and deliver high-value AI use cases that improve efficiency and decision making. * Build and develop a high-performing Data & AI function while fostering a culture of innovation, experimentation, and continuous learning. Job Offer * Opportunity to lead a high-profile AI transformation agenda with executive sponsorship. * Significant investment in AI, cloud, and emerging technologies.</p><p>* 10+ years' experience in Data, AI, Machine Learning, or Advanced Analytics, including leadership responsibility. * Hands-on experience designing and deploying AI/ML solutions using Python, cloud AI platforms, and modern data architectures. * Proven track record delivering AI products from concept to production within complex enterprise environments.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br><br>This is a strategic leadership position with a strong hands-on focus, responsible for defining and executing the organisation's AI vision while building practical AI solutions that create measurable business value.<br><br>Client Details<br><br>A leading organisation undergoing a significant digital transformation, investing heavily in data, artificial intelligence, and emerging technologies.<br><br>Description<br>Define and execute the enterprise AI strategy, driving adoption of Machine Learning, Generative AI, and advanced analytics across the organisation. Lead the design, development, and deployment of AI solutions, including LLM-powered applications, predictive models, intelligent automation, and AI agents.Establish AI engineering best practices covering MLOps, model governance, monitoring, explainability, security, and responsible AI.Partner with business stakeholders to identify, prioritise, and deliver high-value AI use cases that improve efficiency and decision making.Build and develop a high-performing Data &amp; AI function while fostering a culture of innovation, experimentation, and continuous learning.<br><br><br>Profile<br>10+ years' experience in Data, AI, Machine Learning, or Advanced Analytics, including leadership responsibility.Hands-on experience designing and deploying AI/ML solutions using Python, cloud AI platforms, and modern data architectures.Proven track record delivering AI products from concept to production within complex enterprise environments.<br><br><br>Job Offer<br>Opportunity to lead a high-profile AI transformation agenda with executive sponsorship.Significant investment in AI, cloud, and emerging technologies.<br><br> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills">Data, AI <br> </div>

<ul><li><br><ul><li><p>Design, develop, and maintain scalable data pipelines using Snowflake.</p></li><li><p>Build and optimize ELT workflows using dbt.</p></li><li><p>Develop and orchestrate data pipelines using Apache Airflow.</p></li><li><p>Design and implement efficient data models to support analytical and business reporting</p></li></ul><p>requirements.</p><ul><li><p>Perform data ingestion from multiple structured and semi-structured data sources.</p></li><li><p>Optimize Snowflake performance through query tuning, clustering, partitioning, and warehouse</p></li></ul><p>optimization.</p><ul><li><p>Develop reusable, scalable, and maintainable SQL transformations.</p></li><li><p>Implement data quality checks, validation, and monitoring processes.</p></li><li><p>Collaborate with Data Architects, Business Analysts, BI Developers, and cross-functional teams to</p></li></ul><p>deliver robust data solutions.</p><ul><li><p>Troubleshoot production issues and ensure high availability of data pipelines.</p></li><li><p>Follow best practices for version control, CI/CD, testing, and documentation.</p></li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>8+ years of experience in Data Engineering.</p></li><li><p>Strong hands-on experience with Snowflake.</p></li><li><p>Advanced SQL programming and query optimization.</p></li><li><p>Mandatory experience with Apache Airflow.</p></li><li><p>Mandatory experience with dbt (Data Build Tool).</p></li><li><p>Strong understanding of ETL/ELT concepts and modern data engineering practices.</p></li><li><p>Experience building and maintaining enterprise-scale data pipelines.</p></li><li><p>Proficiency in Python for data engineering and automation.</p></li><li><p>Experience working with Git and version control.</p></li><li><p>Good understanding of data modeling techniques (Star Schema, Snowflake Schema, Dimensional</p></li></ul><p>Modeling).</p><ul><li><p>Experience working with structured and semi-structured data formats such as JSON, Parquet, and</p></li></ul><p>Avro.</p><ul><li><p>Strong analytical, debugging, and problem-solving skills.</p></li></ul>

<ul><li><br><ul><li><p>Design, develop, and maintain scalable data pipelines using Snowflake.</p></li><li><p>Build and optimize ELT workflows using dbt.</p></li><li><p>Develop and orchestrate data pipelines using Apache Airflow.</p></li><li><p>Design and implement efficient data models to support analytical and business reporting</p></li></ul><p>requirements.</p><ul><li><p>Perform data ingestion from multiple structured and semi-structured data sources.</p></li><li><p>Optimize Snowflake performance through query tuning, clustering, partitioning, and warehouse</p></li></ul><p>optimization.</p><ul><li><p>Develop reusable, scalable, and maintainable SQL transformations.</p></li><li><p>Implement data quality checks, validation, and monitoring processes.</p></li><li><p>Collaborate with Data Architects, Business Analysts, BI Developers, and cross-functional teams to</p></li></ul><p>deliver robust data solutions.</p><ul><li><p>Troubleshoot production issues and ensure high availability of data pipelines.</p></li><li><p>Follow best practices for version control, CI/CD, testing, and documentation.</p></li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>8+ years of experience in Data Engineering.</p></li><li><p>Strong hands-on experience with Snowflake.</p></li><li><p>Advanced SQL programming and query optimization.</p></li><li><p>Mandatory experience with Apache Airflow.</p></li><li><p>Mandatory experience with dbt (Data Build Tool).</p></li><li><p>Strong understanding of ETL/ELT concepts and modern data engineering practices.</p></li><li><p>Experience building and maintaining enterprise-scale data pipelines.</p></li><li><p>Proficiency in Python for data engineering and automation.</p></li><li><p>Experience working with Git and version control.</p></li><li><p>Good understanding of data modeling techniques (Star Schema, Snowflake Schema, Dimensional</p></li></ul><p>Modeling).</p><ul><li><p>Experience working with structured and semi-structured data formats such as JSON, Parquet, and</p></li></ul><p>Avro.</p><ul><li><p>Strong analytical, debugging, and problem-solving skills.</p></li></ul>

<ul><li><p>Lead architecture and development of SME lending platforms (Origination, Credit, Loan Management).</p></li><li><p>Design cloud-native, scalable, and secure banking solutions.</p></li><li><p>Drive API, micro services, and integration strategies with core banking systems.</p></li><li><p>Mentor engineering teams and enforce best practices in development and DevSecOps.</p></li><li><p>Collaborate with business stakeholders, product owners, and vendors.</p></li><li><p>Ensure compliance with banking security, regulatory, and risk standards.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p><strong>Required Experience</strong></p><ul><li><p>8–10+ years in technology, including 4+ years in banking/financial services.</p></li><li><p>Strong knowledge of SME Lending, Credit, Loan Origination, and Digital Banking.</p></li><li><p>Experience delivering cloud transformation programs (Azure preferred, AWS/GCP acceptable).</p></li><li><p>Hands-on experience with micro services, APIs, Kubernetes, and CI/CD.</p></li></ul><p><strong>Technical Skills</strong></p><ul><li><p>Java/Spring Boot, .NET Core, Node.js, Python</p></li><li><p>Azure/AWS Cloud Services</p></li><li><p>Docker, Kubernetes/OpenShift</p></li><li><p>REST APIs, Kafka, API Management</p></li><li><p>SQL Server, Oracle, PostgreSQL</p></li><li><p>Azure DevOps, Jenkins, Terraform</p></li></ul><p><strong>Preferred Certifications</strong></p><ul><li><p>Azure Solutions Architect</p></li><li><p>AWS Solutions Architect</p></li><li><p>TOGAF</p></li><li><p>PMP/SAFe Agile</p></li></ul><p><strong>Key Competencies</strong></p><ul><li><p>Technical Leadership</p></li><li><p>Banking Domain Expertise</p></li><li><p>Cloud Architecture</p></li><li><p>Solution Design</p></li><li><p>Stakeholder Management</p></li><li><p>Agile Delivery & DevSecOps</p></li></ul><p><strong>Success Measures</strong></p><ul><li><p>Successful delivery of digital SME finance platforms.</p></li><li><p>Improved scalability, security, and customer experience.</p></li><li><p>Faster releases through cloud and DevOps adoption.</p></li><li><p>Strong alignment with regulatory and compliance requirements.</p></li></ul><br><p><strong>Skills</strong></p><p>Technical Leadership</p><p>Cloud Architecture</p><p>SME Lending Expertise</p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> DevOps Specialist is responsible for building and maintaining automation pipelines, improving deployment reliability, and ensuring stable, scalable infrastructure. Work closely with developers and operations teams to optimize CI/CD processes, monitor system performance, and implement tools and practices that enhance speed, quality, and operational efficiency across the software lifecycle.<br> <br> <strong>Qualifications</strong> <ul> <li>Bachelors Degree in Computer Science, Engineering or related field. </li><li>Advanced certifications in software engineering. </li><li>3 years as hands-on DevOps&nbsp; </li><li>UAE National / Emirati&nbsp; </li></ul> <br> <strong>Roles and Responsibilities</strong> <ul> <li>Support deployment, operation, and automation of cloud-native applications. Maintain CI/CD pipelines, managing Docker and Kubernetes environments, monitoring system performance, troubleshooting infrastructure issues, and assisting with cloud platform operations. Basic knowledge of Linux, Git, Docker, Kubernetes, CI/CD tools, and scripting (Bash or Python). </li><li>Design, develop, and maintain Java applications using industry best practices and standards under guidance from senior team members </li><li>Write clean, maintainable, and efficient code following established coding standards and participating in code reviews </li><li>Collaborate with product managers, business analysts, and other stakeholders to understand requirements and contribute to technical solutions </li><li>Actively learn new technologies and methodologies to improve development skills and contribute to team knowledge sharing </li><li>Write unit tests and maintain technical documentation for developed features and applications </li><li>Investigate, troubleshoot, and resolve software defects in a timely manner </li></ul> #LI-JS1 <br><br> </div>

<br><br><ol><li><p>Design and implement scalable data platforms on <strong>Snowflake</strong> for retail analytics&nbsp;</p></li></ol><ol start="2"><li><p>Build and optimize ELT pipelines for retail data (POS, e-commerce, CRM, inventory, supply chain)&nbsp;</p></li></ol><ol start="3"><li><p>Leverage <strong>Snowflake Cortex</strong> to enable AI-driven use cases such as: Customer segmentation & personalization, Product recommendations, promo analysis&nbsp;</p></li></ol><ol start="4"><li><p>Integrate data from multiple retail systems (ERP, OMS, WMS, e-commerce platforms)&nbsp;</p></li></ol><ol start="5"><li><p>Develop data models for key retail metrics (sales, margins, inventory turnover, basket analysis)&nbsp;</p></li></ol><ol start="6"><li><p>Ensure data quality, governance, and compliance across datasets&nbsp;</p></li></ol><ol start="7"><li><p>Optimize Snowflake performance and cost for large-scale retail workloads&nbsp;</p></li></ol><ol start="8"><li><p>Collaborate with business stakeholders (merchandising, marketing, supply chain teams)&nbsp;</p></li></ol><ol start="9"><li><p>Enable near real-time analytics for inventory and order tracking&nbsp;</p></li></ol><br><p><strong>Desired Candidate Profile</strong></p><ol><li><p>5+ years of experience in Data Engineering, preferably in retail or e-commerce&nbsp;</p></li></ol><ol start="2"><li><p>Strong hands-on experience with Snowflake Data Cloud&nbsp;</p></li></ol><ol start="3"><li><p>Experience with Snowflake Cortex (AI/ML functions, LLM-powered analytics)&nbsp;</p></li></ol><ol start="4"><li><p>Advanced SQL and strong Python skills&nbsp;</p></li></ol><ol start="5"><li><p>Experience with ETL/ELT tools (dbt, Airflow, etc.)&nbsp;</p></li></ol><ol start="6"><li><p>Strong understanding of retail data models and KPIs&nbsp;</p></li></ol><ol start="7"><li><p>Experience with cloud platforms (AWS, Azure, or GCP)&nbsp;</p></li></ol><ol start="8"><li><p>Experience with BI tools (Tableau, Power BI, Looker)&nbsp;</p></li></ol><ol start="9"><li><p>Snowflake or cloud certifications (good to have)&nbsp;</p></li></ol>

<p>Key Responsibilities</p><ul><li><p>Consolidate operational and financial data from all Business Units into enterprise performance dashboards and executive scorecards.</p></li><li><p>Design, develop, and maintain WBR, MBR, KPI dashboards, and management reports.</p></li><li><p>Gather business requirements from stakeholders and translate them into analytical and reporting solutions.</p></li><li><p>Build automated data models, ETL processes, and reporting pipelines to eliminate manual reporting.</p></li><li><p>Analyze trends, variances, profitability, productivity, inventory, sales, procurement, customer, and operational performance, providing actionable insights and recommendations.</p></li><li><p>Develop and maintain KPI definitions, business metrics, and data governance standards to ensure consistency across the Group.</p></li><li><p>Partner with Finance to support budgeting, forecasting, management reporting, and financial performance analysis.</p></li><li><p>Collaborate with IT on system integrations, data architecture, and cloud-based analytics solutions.</p></li><li><p>Support digital transformation initiatives, process automation, and continuous improvement projects.</p></li><li><p>Present findings and recommendations to senior management with clear business impact.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><p>Technical Skills Oracle NetSuite ERP Salesforce CRM AWS Cloud Microsoft Power BI SQL Python Advanced Microsoft Excel (Power Query, Pivot Tables) Data Modelling & ETL Dashboard Development KPI & Scorecard Design Financial & MIS Reporting</p><p> Core Competencies Business Analysis & Requirement Gathering Executive Reporting Financial & Operational Performance Analysis Data Visualization & Storytelling Process Improvement Project Coordination Stakeholder Management Analytical Thinking Problem Solving Strong Communication & Presentation Skills High Attention to Detail </p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Develop and implement data-driven strategies to enhance Key Performance Indicators (KPIs) across various business functions.</p></li><li><p>Analyze complex datasets to identify trends, root causes of underperformance, and opportunities for improvement in key metrics.</p></li><li><p>Design and execute A/B tests and other experiments to validate hypotheses and measure the impact of optimization initiatives.</p></li><li><p>Collaborate with cross-functional teams (e.g., product, marketing, engineering) to align KPI goals and implement optimization solutions.</p></li><li><p>Develop, monitor, and maintain production KPI dashboards for all production departments. Track daily, weekly, monthly, and yearly production performance against targets. Generate variance analysis reports highlighting gaps between actual and target performance</p></li><li><p>Experience in cement manufacturing operations including cement grinding and kiln operation, production analysis, or performance management.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Economics, Computer Science, or a related discipline.</p></li><li><p>Minimum of 3-5 years of experience in data analysis, performance optimization, or a similar analytical role.</p></li><li><p>Proven experience in identifying, defining, and tracking KPIs relevant to business growth and operational efficiency.</p></li><li><p>Strong proficiency in data manipulation and analysis tools such as SQL, Python (with libraries like Pandas, NumPy).</p></li><li><p>Technical Skills in MS excel, SAP/ERP systems, Power BI dashboard development and Data Interpretation &amp; Visualization . </p></li></ul><p></p></section>

<p>Full Stack Web Developer (Website Development & Maintenance) We are looking for a Full Stack Web Developer responsible for the development, maintenance and continuous improvement of our corporate websites and web-based platforms. The successful candidate will be capable of independently managing front-end and back-end development, website updates, troubleshooting, hosting coordination, integrations and ongoing support without reliance on multiple external vendors.</p><p>Key Responsibilities Design, develop and maintain company websites and web applications. Perform both front-end and back-end development. Manage website updates, enhancements and troubleshooting. Maintain hosting environments, domains and website security. Implement new features, forms, integrations and user requirements. Ensure website performance, responsiveness and reliability. Coordinate and manage deployments and technical updates. Provide ongoing technical support without reliance on multiple external vendors. Requirements 3+ years experience as a Full Stack Web Developer. Strong knowledge of HTML, CSS, JavaScript. Experience with React, Next.js or similar frameworks. Experience with Node.js, PHP, Python or equivalent backend technologies. Experience with databases (MySQL, PostgreSQL, MongoDB). Knowledge of hosting, DNS, SSL and website deployment. Ability to independently manage website development and maintenance. Strong problem-solving skills and attention to detail. Nice to Have WordPress experience. SEO knowledge. UI/UX understanding. Experience with AI website builders and automation tools. Experience managing multiple corporate websites.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><strong>About the Role:</strong><br><p>We are seeking a motivated entry-level Quality Assurance Engineer to join our team. In this role, you will support the software development lifecycle by designing and executing test cases, identifying defects, and ensuring the quality of our products. This position offers growth opportunities for those eager to learn and contribute to a fast-paced environment.</p><br><strong>Responsibilities:</strong><br><ul><li>Develop and maintain detailed test plans and test cases</li><li>Execute manual test cases and report defects with clear steps to reproduce</li><li>Collaborate with developers and product owners to understand requirements and acceptance criteria</li><li>Track and verify defect fixes and perform regression testing</li><li>Document test results and provide feedback to improve product quality</li></ul><br><strong>Required Qualifications:</strong><br><ul><li>0–2 years of experience in software testing or related field</li><li>Quick learner with the ability to adapt to new tools and processes</li><li>Hardworking with strong attention to detail and quality</li><li>Proficiency in English, Hindi, and Odia for effective communication</li><li>Basic understanding of the software development lifecycle and testing methodologies</li></ul><br><strong>Preferred Qualifications:</strong><br><ul><li>Familiarity with issue-tracking tools (e.g., Jira)</li><li>Exposure to test automation frameworks (e.g., Selenium)</li><li>Basic scripting skills (e.g., Python, JavaScript)</li><li>Knowledge of quality assurance best practices and standards (e.g., ISTQB Foundation level)</li><li>Strong problem-solving abilities and teamwork orientation</li></ul><br></div></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> DevOps Specialist is responsible for building and maintaining automation pipelines, improving deployment reliability, and ensuring stable, scalable infrastructure. Work closely with developers and operations teams to optimize CI/CD processes, monitor system performance, and implement tools and practices that enhance speed, quality, and operational efficiency across the software lifecycle.<br> <br> <strong>Qualifications</strong> <ul> <li>Bachelors Degree in Computer Science, Engineering or related field. </li><li>Advanced certifications in software engineering. </li><li>Minimum 3 years as hands-on DevOps&nbsp; </li><li>UAE National / Emirati or Expat&nbsp; </li></ul> <br> <strong>Roles and Responsibilities</strong> <ul> <li>Support deployment, operation, and automation of cloud-native applications. Maintain CI/CD pipelines, managing Docker and Kubernetes environments, monitoring system performance, troubleshooting infrastructure issues, and assisting with cloud platform operations. Basic knowledge of Linux, Git, Docker, Kubernetes, CI/CD tools, and scripting (Bash or Python). </li><li>Design, develop, and maintain Java applications using industry best practices and standards under guidance from senior team members </li><li>Write clean, maintainable, and efficient code following established coding standards and participating in code reviews </li><li>Collaborate with product managers, business analysts, and other stakeholders to understand requirements and contribute to technical solutions </li><li>Actively learn new technologies and methodologies to improve development skills and contribute to team knowledge sharing </li><li>Write unit tests and maintain technical documentation for developed features and applications </li><li>Investigate, troubleshoot, and resolve software defects in a timely manner </li></ul> #LI-JS1 <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>you will be responsible for the management, maintenance, and support of our Linux-based server environments.<br> This role requires expertise in configuring and troubleshooting system issues, ensuring high availability and performance, and implementing best practices for security and efficiency.<br> Key Responsibilities: Install, configure, and maintain Linux operating systems on physical and virtual servers.<br> Monitor system performance, troubleshoot issues, and optimize server configurations for maximum efficiency.<br> Implement and manage backups, disaster recovery, and security updates.<br> Automate routine maintenance tasks using scripting languages (e.<br>g., Bash, Python).<br> Collaborate with development and network teams to ensure the seamless deployment and integration of applications.<br> Provide technical support and guidance to users and IT staff regarding Linux systems.<br> Maintain detailed documentation of system configurations, procedures, and changes.<br> Participate in capacity planning and system upgrades, ensuring minimal downtime.<br> Stay updated with the latest Linux technologies and industry trends.<br> Bachelor's degree in Computer Science, Information Technology, or a related field.<br> 4+ years of experience as a Linux Administrator or similar role.<br> Strong knowledge of Linux operating systems (e.<br>g., Red Hat, Ubuntu, CentOS).<br> Experience with server management, monitoring, and troubleshooting.<br> Proficiency in shell scripting and automation tools.<br> Familiarity with networking concepts, security best practices, and cloud services.<br> Excellent problem-solving skills and attention to detail.<br> Strong communication skills, both verbal and written.<br> Relevant certifications (e.<br>g., RHCE, CompTIA Linux+) are a plus.<br> #LI-RK1</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking an experienced Incident Response Lead to manage and coordinate cybersecurity incident response activities.<br> The ideal candidate will have hands-on experience in Digital Forensics and Incident Response (DFIR) , investigating security incidents, conducting root cause analysis, and leading containment, eradication, and recovery efforts in enterprise environments.<br> Key Responsibilities Lead the investigation and response to cybersecurity incidents.<br> Perform incident triage, analysis, containment, eradication, and recovery.<br> Conduct digital forensic investigations and root cause analysis.<br> Coordinate with SOC, Security Engineering, IT, and business teams during security incidents.<br> Develop and maintain incident response playbooks and procedures.<br> Analyze malware, phishing attacks, ransomware, and other cyber threats.<br> Prepare incident reports and provide recommendations to prevent future incidents.<br> Support threat hunting and continuous improvement of incident response capabilities.<br> Ensure compliance with organizational security policies and industry best practices.<br> 5–7 years of experience in Cybersecurity.<br> Hands-on experience in Incident Response and Digital Forensics (DFIR) .<br> Experience investigating security incidents in an enterprise environment.<br> Knowledge of malware analysis, ransomware, phishing, and threat detection.<br> Experience with SIEM, EDR, and security monitoring tools.<br> Strong understanding of Windows, Linux, networking, and security fundamentals.<br> Excellent analytical, troubleshooting, and communication skills.<br> Nice to Have Certifications such as GCFA, GCIH, GCFE, CHFI, CEH, CySA+, or Security+ .<br> Experience with cloud security incident response (Azure, AWS, or GCP).<br> Scripting experience (PowerShell or Python).<br></span> </div>

<p>Key Responsibilities • Integrate and maintain industrial camera and sensor systems with stable, repeatable acquisition. • Develop reliable perception pipelines that generate robot-ready outputs, including measurements, poses, confidence scores, and quality metrics. • Own camera calibration, camera-to-world/robot alignment, hand-eye calibration, and repeatability validation. • Design and optimize image processing, detection, inspection, and sensor interpretation algorithms. • Validate solutions under real-world production conditions and troubleshoot issues related to lighting, vibration, speed, and accuracy. • Ensure perception outputs meet quality standards before reaching downstream execution systems. • Document validation processes, performance metrics, and troubleshooting procedures. What We're Looking For • Strong problem-solving and debugging skills. • Experience delivering production-ready industrial vision solutions. • Ability to work in dynamic, fast-paced engineering environments. • Excellent communication and collaboration skills</p><p>Required Skills & Experience • Hands-on experience with industrial vision/camera integration in production environments. • Strong expertise in 3D perception, including depth sensing, ToF cameras, and point cloud processing. • Experience with camera calibration, coordinate transformations, and hand-eye calibration. • Strong understanding of validation, quality gating, and perception reliability. • Proficiency in C++ and/or Python, with strong knowledge of OpenCV. • Experience debugging real-world perception challenges such as drift, dropped frames, and environmental variations. Preferred Skills • Sensor fusion and time synchronization. • GPU acceleration for perception and inference pipelines. • Experience with industrial robotics or automation systems.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking a skilled Cloud Engineer to design, deploy, and maintain cloud infrastructure on platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).<br> The ideal candidate will have experience with cloud services, automation, infrastructure as code, networking, and security best practices.<br> Key Responsibilities Design, deploy, and manage cloud infrastructure.<br> Monitor cloud environments to ensure high availability and performance.<br> Implement Infrastructure as Code (IaC) using tools like Terraform or AWS CloudFormation.<br> Automate deployment and operational processes using CI/CD pipelines.<br> Manage cloud networking, storage, compute, and security services.<br> Troubleshoot infrastructure and application issues.<br> Optimize cloud resources to improve performance and reduce costs.<br> Implement backup, disaster recovery, and business continuity solutions.<br> Collaborate with DevOps, developers, and security teams.<br> Ensure compliance with organizational and industry security standards.<br> Private Health Insurance Pension Plan Training &amp; Development Performance Bonus Required Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field.<br> 2–5+ years of experience in cloud engineering or system administration.<br> Hands-on experience with AWS, Azure, or GCP.<br> Experience with Linux and Windows server administration.<br> Knowledge of networking concepts (DNS, VPN, Load Balancers, Firewalls).<br> Experience with scripting languages such as Python, Bash, or PowerShell.<br> Experience with Terraform, Ansible, or CloudFormation.<br> Familiarity with Docker and Kubernetes.<br> Understanding of CI/CD tools such as Jenkins, GitHub Actions, Azure DevOps, or GitLab CI.<br></span> </div>

<ul><li><p>Develop and deliver well-structured, engaging lectures and coursework on AI, Machine Learning, and related subjects to undergraduate and graduate students.</p></li><li><p>Ensure that the classroom environment is conducive to learning, encouraging student interaction and participation.</p></li><li><p>Review and revise courses, programs, and assessments in line with quality assurance and enhancement standards.</p></li><li><p>Develop innovative and effective teaching methods, integrating modern AI tools and frameworks.</p></li><li><p>Provide timely, constructive feedback on student coursework, projects, and examinations.</p></li><li><p>Offer general academic support and guidance to students, addressing their concerns and referring to specialized resources when necessary.</p></li><li><p>Actively engage in faculty and program initiatives, contributing to departmental and university goals, and supporting accreditation processes.</p></li><li><p>Work collaboratively with faculty, staff, and students to ensure an enriching and productive student experience.</p></li><li><p>Perform any additional duties as requested by the Program Director or Dean.<br></p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>4+ years of professional experience in teaching AI-related subjects at the university level.</p></li><li><p>Strong proficiency in programming languages such as Python, R, Java, or C++ and familiarity with AI frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn.</p></li><li><p>Excellent verbal and written communication skills with the ability to interact effectively with students, colleagues, and the academic community.</p></li><li><p>Demonstrated ability to work collaboratively in a diverse, multicultural academic environment.</p></li><li><p>Research published in reputable journals indexed in the Scopus database</p></li><li><p>A passion for mentoring students in research and supporting their academic and professional growth.</p></li></ul>

<ul><li><p>Senior, hands-on engineer who ships, with recent production AI delivery experience.</p><ul><li><p>Production LLM and agentic AI: RAG, orchestration and multi-step agent workflows.</p></li><li><p>MLOps depth: CI/CD, model registries, monitoring and evaluation pipelines.</p></li><li><p>Strong Python and modern software-engineering practice.</p></li><li><p>Consulting-adjacent skills to work with non-technical operational stakeholders, identify the real problem and manage</p></li></ul><p>delivery end to end.</p><ul><li><p>Self-driven with minimal direction: scope the work, set the plan and drive it to production without waiting for a brief.</p></li><li><p>Technical leadership without formal authority across engineers, analysts and operational staff; ability to set adopted</p></li></ul><p>standards and influence senior stakeholders.</p><ul><li><p>Strong product mindset: user feedback, feature prioritization, technical trade-offs and adoption.</p></li><li><p>Deep AI evaluation expertise: groundedness, hallucination detection, task success, latency, safety, business KPIs, A/B testing and continuous regression testing.</p></li></ul></li><li><p>Production AI cost optimization: model selection/routing, prompt and token optimization, caching and inference-cost management.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor's in Computer Science, Machine Learning, or a related quantitative field.</p></li><li><p>5+ years of hands-on experience in deploying and managing AI/ML models in production environments.</p></li><li><p>Domain exposure to container terminals, maritime logistics, free zones or freight operations, including TOS data, gate and yard processes, customs/trade documentation, or warehouse/contract-logistics workflows.</p></li><li><p>GCC or comparable multi-country regional experience; Arabic is a plus.</p></li><li><p>Platform engineering or developer-experience background, including internal tooling adopted by other engineers.</p></li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li>Design, develop, and implement complex integration solutions using webMethods suite, ensuring seamless data flow between diverse applications and systems.</li><li>Lead the architecture and deployment of robust integration platforms, optimizing performance and scalability for enterprise-level demands.</li><li>Administer and maintain the webMethods environment, including installation, configuration, patching, and monitoring to ensure high availability and security.</li><li>Troubleshoot and resolve critical integration issues, performing root cause analysis and implementing permanent solutions to minimize business disruption.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>8+ years of overall integration/middleware experience, with 5+ years hands-on in webMethods (Integration Server, API Gateway, Universal Messaging).</p><ul><li><p>Strong understanding of REST/SOAP web services, JSON/XML, and messaging protocols.</p></li><li><p>Working knowledge of Kubernetes: deployments, services, networking, and troubleshooting containerized workloads.</p></li><li><p>Experience with CI/CD tools and scripting (YAML, Shell, Python, or similar).</p></li><li><p>Proficiency in SQL, stored procedures, and data engineering/transformation tasks.</p></li></ul><br><p>Good to Have</p><ul><li><p>Software AG webMethods certification.</p></li><li><p>Exposure to cloud platforms (Azure / AWS / GCP).</p></li><li><p>Experience with API management tools beyond webMethods.</p></li><li><p>Prior experience presenting architecture/design to technical and business stakeholders.</p></li></ul><p>Educational Qualification</p><ul><li><p>Bachelor's or Master's degree in Computer Science, IT, or a related field.</p></li></ul><ul><li><p>Solid understanding of clustering and high-availability concepts (Terracotta, load balancers, shared databases).</p></li><li><p>Strong analytical, debugging, and root-cause analysis skills.</p></li><li><p>Good communication skills with ability to explain technical concepts to cross-functional teams.</p></li></ul></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ol><li><p>Design, develop, and maintain interactive dashboards and reports using Qlik Sense.</p></li><li><p>Analyze large datasets to identify trends, patterns, and business opportunities.</p></li><li><p>Build predictive, statistical, and analytical models to support business decision-making.</p></li><li><p>Develop and optimize SQL queries for data extraction, transformation, and analysis.</p></li><li><p>Ensure data quality, consistency, accuracy, and performance across reporting solutions.</p></li><li><p>Create and maintain data models that support reporting and analytics requirements.</p></li><li><p>Collaborate with business stakeholders to gather requirements and translate them into BI solutions.</p></li><li><p>Troubleshoot reporting issues and implement continuous improvements to analytics platforms.</p></li><li><p>Support enhancements and optimization of existing dashboards and reporting frameworks.</p></li></ol></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Experience with Oracle E-Business Suite (Oracle EBS)</p></li><li><p>Advanced SQL (query optimization, joins, stored procedures, performance tuning)</p></li><li><p>Strong experience with Qlik Sense dashboard development</p></li><li><p>Data modeling and data warehousing concepts</p></li><li><p>Statistical analysis and predictive modeling</p></li><li><p>ETL and data transformation techniques</p></li><li><p>Data visualization best practices</p></li><li><p>Reporting and business intelligence development</p></li><li><p>Knowledge of Python or R for advanced analytics</p></li><li><p>Familiarity with cloud data platforms and modern BI ecosystems</p></li><li><p>Understanding of enterprise reporting frameworks</p></li><li><p>Strong analytical and problem-solving abilities</p></li><li><p>Experience working with large structured datasets</p></li><li><p>Ability to communicate insights to business and technical stakeholders</p></li><li><p>Detail-oriented with a focus on data accuracy and governance</p></li><li><p>Capable of working independently and in cross-functional teams</p></li></ul><p></p></section>