وظائف مطورين بايثون - ابو ظبي الإمارات

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for Technical Operations team (application/operations support function):</p><p><strong><em>(Arabic Speaker)</em></strong></p><p><br></p><p>Work Location: Abu Dhabi</p><p><br></p><p>Key Responsibilities</p><ul><li><p>Troubleshoot and resolve application, platform, and infrastructure-related issues across the environment</p></li><li><p>Investigate and troubleshoot database-related issues, including writing and analyzing <strong>SQL queries</strong></p></li><li><p><strong>Use log analysis tools (e.g., Azure Log Analytics or similar) to identify root causes and drive resolution</strong></p></li><li><p>Take ownership of incidents end-to-end, from identification through resolution and closure, with minimal supervision</p></li><li><p><strong>Communicate clearly and effectively with stakeholders throughout the issue resolution lifecycle, providing timely updates and clear explanations</strong></p></li><li><p>Collaborate with cross-functional teams to escalate and resolve complex, distributed system issues</p></li><li><p>Operate effectively and calmly under pressure, particularly during live incident scenarios</p></li><li><p>Contribute to continuous improvement of support processes and documentation</p></li></ul><p><br><br></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p><strong>7+ years</strong> of relevant experience in technical operations, application support, or a similar role</p></li><li><p>Proven experience troubleshooting and resolving application or platform-related issues</p></li><li><p>Familiarity with log analysis tools (e.g., Azure Log Analytics or similar)</p></li><li><p>Working knowledge of <strong>SQL and/or Python</strong>, with the ability to query and investigate data independently</p></li><li><p>Strong experience in <strong>network analysis and troubleshooting</strong></p></li><li><p>Hands-on experience <strong>troubleshooting UI and browser-related issues</strong></p></li></ul><p><br></p><p></p></section>

<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 detail-oriented Risk Analyst to join our team in Saudi Arabia. In this role, you will identify, assess, and monitor operational and financial risks, deliver data-driven insights, and work closely with internal and external stakeholders to drive risk mitigation strategies and regulatory compliance.</p><br><strong>Responsibilities:</strong><br><ul><li>Conduct comprehensive risk assessments and scenario analyses using quantitative and qualitative methodologies</li><li>Develop, maintain, and enhance risk models and reporting tools to track key risk indicators</li><li>Prepare timely risk reports and presentations for senior management and regulatory bodies</li><li>Collaborate with business units and stakeholders to identify risk exposures and implement mitigation plans</li><li>Monitor changes in regulatory requirements and ensure compliance with local and international regulations</li><li>Support the development and implementation of risk management policies, procedures, and controls</li></ul><br><strong>Required Qualifications:</strong><br><ul><li>2–5 years of experience in risk analysis, financial auditing, or related fields</li><li>Bachelor’s degree in Finance, Economics, Risk Management, or a related discipline</li><li>Proven experience with risk analysis methodologies and technical tools</li><li>Strong reporting skills, including data extraction and presentation using Excel or risk management software</li><li>Excellent stakeholder management and communication skills, both written and verbal</li><li>Sound understanding of Saudi Arabian regulatory frameworks and industry best practices</li><li>Demonstrated analytical thinking and problem-solving abilities</li></ul><br><strong>Preferred Qualifications:</strong><br><ul><li>Professional certification such as FRM, PRM, or CFA</li><li>Experience in banking, energy, or oil and gas sectors</li><li>Familiarity with local regulatory authorities (SAMA, CMA)</li><li>Hands-on experience with SQL, Python, or data visualization tools (Power BI, Tableau)</li></ul><br></div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ol><li><p>Data Analysis &amp; Insight Generation</p></li></ol><p>Analyze large datasets to identify trends and generate actionable insights for decision making and operational efficiency.</p><p>Communicate findings through visualizations and clear storytelling.</p><ol><li><p>Machine Learning &amp; Model Development</p></li></ol><p>Develop and deploy machine learning models for use cases such as forecasting, optimization, and risk analysis.</p><p>Apply statistical and machine learning techniques to solve complex business problems.</p><ol><li><p>Data Preparation &amp; Feature Engineering</p></li></ol><p>Prepare data through extraction, cleaning, preprocessing, and feature engineering.</p><p>Ensure data quality and integrity for reliable model performance.</p><ol><li><p>Model Deployment &amp; Monitoring</p></li></ol><p>Deploy models into production and monitor performance for drift or degradation.</p><p>Continuously improve models based on feedback and new data.</p><ol><li><p>Collaboration &amp; Stakeholder Engagement</p></li></ol><p>Work with business teams to translate requirements into analytical solutions.</p><p>Collaborate with Data Engineering and Data Governance teams for end to end delivery.</p><ol><li><p>AI Governance</p></li></ol><p>Ensure all AI and machine learning activities comply with governance, privacy, and regulatory requirements by following defined lifecycle processes, risk classification, and using approved governed data.</p><p>Implement responsible and secure AI practices, including bias and fairness checks, explainability, model documentation, auditability, and collaboration with Cybersecurity and Data Governance teams.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Minimum Qualifications</p><ul><li><p>Bachelor's or Master's Degree in Data Science, Artificial Intelligence (AI), Statistics, Computer Science, or a related field.</p></li></ul><p>Minimum Experience</p><ul><li><p>Minimum <strong>5+ years</strong> of experience in Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics.</p></li><li><p>Proven experience developing, deploying, and maintaining machine learning models in production environments.</p></li><li><p>Experience working with large-scale datasets and cloud-based analytics platforms is preferred.</p></li></ul><p>Skills &amp; Competencies</p><ul><li><p>Strong programming skills in <strong>Python</strong> (preferred) or <strong>R</strong>.</p></li><li><p>Experience with large-scale data processing using <strong>SQL</strong>, <strong>Spark</strong>, or similar technologies.</p></li><li><p>Hands-on experience with machine learning frameworks such as <strong>TensorFlow</strong>, <strong>PyTorch</strong>, and <strong>Scikit-learn</strong>.</p></li><li><p>Experience in end-to-end machine learning model development, validation, deployment, and optimization.</p></li><li><p>Knowledge of <strong>MLOps</strong> practices, including CI/CD pipelines, model monitoring, version control, and automated retraining.</p></li><li><p>Understanding of data engineering concepts, data pipelines, and cloud data platforms, preferably <strong>Microsoft Azure</strong> and <strong>Databricks</strong>.</p></li><li><p>Strong knowledge of statistical analysis, predictive modeling, feature engineering, and data preprocessing techniques.</p></li><li><p>Experience using data visualization tools such as <strong>Power BI</strong> and <strong>Tableau</strong> to communicate analytical insights.</p></li><li><p>Understanding of data governance, data quality management, privacy regulations, and AI governance principles.</p></li><li><p>Strong analytical thinking, problem-solving, and critical reasoning skills.</p></li><li><p>Excellent communication, presentation, and stakeholder management skills.</p></li><li><p>Ability to work collaboratively with cross-functional teams in an agile environment.</p></li><li><p>Strong organizational skills with the ability to manage multiple priorities and deliver high-quality outcomes within deadlines.</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">About the Role: We are seeking a seasoned Python Developer based in India with 8 years of professional experience. The ideal candidate will design, develop, and maintain scalable Python applications, collaborate with cross-functional teams, and ensure high performance and responsiveness of applications. Responsibilities: Design, develop, and maintain Python-based applications and services Collaborate with product managers, designers, and other stakeholders to define requirements Write clean, efficient, and well-documented code Develop and maintain RESTful APIs Perform code reviews and provide constructive feedback Optimize application performance and scalability Troubleshoot, debug, and resolve production issues Mentor and guide junior developers Document technical designs, architectures, and workflows Required Qualifications: Bachelor’s degree in Computer Science, Engineering, or related field 8 years of professional experience in Python development Expertise in Python frameworks such as Django or Flask Strong understanding of RESTful API design and implementation Experience with relational databases such as PostgreSQL or MySQL Solid grasp of object-oriented programming, data structures, and design patterns Proficiency with version control systems, preferably Git Strong analytical, problem-solving, and debugging skills Effective written and verbal communication skills Ability to work collaboratively in a team environment Preferred Qualifications: Experience with cloud platforms such as AWS or Azure Familiarity with containerization tools like Docker and orchestration with Kubernetes Hands-on experience with CI/CD pipelines (Jenkins, GitLab CI/CD) Knowledge of front-end technologies such as React or Angular Experience working in Agile/Scrum methodologies Familiarity with NoSQL databases (e.g., MongoDB) Background in DevOps and automation tools Previous experience mentoring or leading development teams </div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Utilize Python Notebooks, SSIS, Fabric Builds / Power BI, and other data engineering tools to cleanse and transform data.</p></li><li><p>Develop and implement data quality processes to monitor and improve the integrity of our data.</p></li><li><p>Collaborate with cross-functional teams to define data quality standards and best practices.</p></li><li><p>Optimize data cleansing pipelines for efficiency and scalability.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Proven experience in data engineering, specifically in data cleansing and quality assurance.</p></li><li><p>Proficiency in Python Notebooks, SSIS, Fabric Builds / Power BI, and equivalent data engineering tools.</p></li><li><p>Strong understanding of data quality principles and best practices.</p></li><li><p>Excellent problem-solving skills and attention to detail.</p></li><li><p>Ability to work both independently and collaboratively in a fast-paced environment.</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>Utilize Python Notebooks, SSIS, Fabric Builds, Power BI, and other data engineering tools for data cleansing and quality tasks.</p></li><li><p>Implement data cleaning processes to ensure accuracy and completeness of datasets.</p></li><li><p>Collaborate with cross-functional teams to identify data quality issues and recommend solutions.</p></li><li><p>Develop and maintain data quality metrics and reports to track progress.</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 Data Science, Computer Science, Statistics, or related field.</p></li><li><p>Proven experience with Python Notebooks, SSIS, Fabric Builds, Power BI, and equivalent data engineering tools.</p></li><li><p>Strong understanding of data quality principles and best practices.</p></li><li><p>Excellent analytical and problem-solving skills.</p></li><li><p>Ability to work independently and collaboratively in a team environment.</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><strong>Resiliency Engineering (SRE):</strong> Implement "Chaos Engineering" and load testing to ensure web/mobile backends can handle banking-scale traffic. Maintain high availability through automated recovery scripts.</p></li><li><p><strong>Automated Regression:</strong> Build CI/CD-integrated test suites using <strong>Python</strong> that validate both the application logic and the infrastructure state (IaC validation).</p></li><li><p><strong>Observability &amp; SLIs:</strong> Define and monitor Service Level Indicators (SLIs) and Objectives (SLOs). Set up advanced alerting in Azure Monitor or AWS CloudWatch to catch performance degradation before users do.</p></li><li><p><strong>Security &amp; Compliance Testing:</strong> Automate security scans and compliance checks to ensure all AI data handling meets strict banking data residency and privacy protocols.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p><strong>Technical &amp; Professional Requirements:</strong></p><ul><li><p><strong>Automation Stack:</strong> High proficiency in <strong>Python</strong> (for AI testing) and framework automation (PyTest, Selenium, or Robot Framework).</p></li><li><p><strong>Cloud Infrastructure:</strong> Strong hands-on experience with <strong>Azure</strong> or <strong>AWS</strong>, specifically regarding networking, scaling, and serverless reliability.</p></li><li><p><strong>AI/ML Understanding:</strong> Understanding of Prompt Engineering and how to evaluate AI model outputs (RAG evaluation, ROUGE/BLEU scores, or custom LLM-benchmarks).</p></li><li><p><strong>Monitoring Tools:</strong> Experience with Grafana, Prometheus, or native cloud monitoring tools to build real-time reliability dashboards.</p></li><li><p><strong>FinOps Awareness:</strong> Ability to identify "expensive" failing tests or inefficient cloud resource usage during the testing phase.</p></li></ul><p><strong>Recommended Skillset &amp; Tools:</strong></p><ul><li><p><strong>Languages:</strong> Python (Mandatory), Bash scripting.</p></li><li><p><strong>Tools:</strong> GitHub Actions (CI/CD), Terraform (reading/validating), K6 or JMeter (Performance).</p></li><li><p><strong>AI Frameworks:</strong> DeepEval, Ragas, or LangSmith (for automated AI evaluation).</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"><ul><li><p>Develop and implement data cleansing processes to ensure data accuracy and integrity.</p></li><li><p>Collaborate with cross-functional teams to understand data requirements and deliver insights.</p></li><li><p>Utilize Python Notebooks, SSIS, Fabric Builds, and other data engineering tools for data transformation and manipulation.</p></li><li><p>Create and maintain Power BI reports and dashboards to visualize data and provide actionable insights.</p></li><li><p>Identify data quality issues and recommend solutions to improve data reliability.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Proven experience as a Power BI Consultant or similar role.</p></li><li><p>Proficiency in Python Notebooks, SSIS, Fabric Builds, Power BI, and equivalent data engineering tools.</p></li><li><p>Strong analytical skills with the ability to gather, analyze, and interpret data.</p></li><li><p>Excellent communication and problem-solving skills.</p></li><li><p>Bachelor’s degree in Computer Science, Data Science, or related field.</p></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Location:</strong> Abu Dhabi, UAE</p><br><p>We are &nbsp;looking for an <strong>AI/ML Engineer</strong> &nbsp;for one of our clients in Abu Dhabi to design, build, and deploy machine learning and advanced analytics solutions that power strategic and operational decision-making across the business.</p><br><p><strong>Must-Have Skills (Non-Negotiable)</strong></p><ul><li><p><strong>Microsoft Fabric</strong> — hands-on production experience</p></li><li><p><strong>Python in Azure environments</strong> (Azure ML, Azure Functions, or similar)</p></li><li><p><strong>TensorFlow</strong> — real experience building and training models (not just scikit-learn)</p></li></ul><br><p><strong>What We're Looking For</strong></p><ul><li><p>Strong hands-on experience with <strong>Microsoft Fabric</strong>, <strong>Python (Azure)</strong>, and <strong>TensorFlow</strong> —</p></li><li><p>Solid grounding in statistics (hypothesis testing, segmentation, root cause analysis)</p></li><li><p>Experience with Azure Cognitive Services, and MLOps pipelines</p></li><li><p>Ability to work across the full lifecycle — from model development to business storytelling</p></li><li><p>Strong communication skills; comfortable presenting to non-technical stakeholders</p></li></ul><br><br></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Must-Have Skills (Non-Negotiable)</strong></p><ul><li><p><strong>Microsoft Fabric</strong> — hands-on production experience</p></li><li><p><strong>Python in Azure environments</strong> (Azure ML, Azure Functions, or similar)</p></li><li><p><strong>TensorFlow</strong> — real experience building and training models (not just scikit-learn)</p></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Backend Development (Python &amp; Django)</strong></p><ul><li><p>Design, develop, test, and maintain scalable backend applications using Python and Django.</p></li><li><p>Develop and maintain RESTful APIs using Django REST Framework (DRF).</p></li><li><p>Build reusable, clean, and maintainable code following industry best practices.</p></li><li><p>Design and optimize database structures and application architecture.</p></li><li><p>Implement authentication and authorization mechanisms (JWT, OAuth, etc.).</p></li><li><p>Optimize application performance, security, and scalability.</p></li><li><p>Troubleshoot and resolve production issues and bugs.</p></li><li><p>Write technical documentation and API specifications.</p></li></ul><p><strong>API &amp; Integration Development</strong></p><ul><li><p>Integrate third-party APIs, payment gateways, ERP systems, CRM platforms, and external services.</p></li><li><p>Develop custom integrations between multiple business applications.</p></li><li><p>Ensure secure and reliable data exchange between systems.</p></li><li><p>Monitor and maintain API performance and availability.</p></li></ul><p><strong>Database &amp; Performance Optimization</strong></p><ul><li><p>Design and maintain PostgreSQL, MySQL, or similar databases.</p></li><li><p>Create efficient database queries and optimize application performance.</p></li><li><p>Manage database migrations and data integrity.</p></li><li><p>Perform debugging and performance tuning.</p></li></ul><p><strong>Collaboration &amp; Project Delivery</strong></p><ul><li><p>Work closely with React.js developers, UI/UX designers, and project managers.</p></li><li><p>Participate in project planning, sprint meetings, and code reviews.</p></li><li><p>Support existing applications and implement new features and enhancements.</p></li><li><p>Follow Agile development methodologies and delivery standards.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Strong experience with <strong>Python</strong> (5–6 years).</p></li><li><p>Strong experience with <strong>Django Framework</strong>.</p></li><li><p>Strong experience with <strong>Django REST Framework (DRF)</strong>.</p></li><li><p>Experience building and consuming REST APIs.</p></li><li><p>Proficiency in Python programming and Object-Oriented Programming (OOP).</p></li><li><p>Experience with PostgreSQL, MySQL, or similar relational databases.</p></li><li><p>Knowledge of Git version control.</p></li><li><p>Experience with API integrations and third-party services.</p></li><li><p>Familiarity with authentication mechanisms such as JWT and OAuth.</p></li><li><p>Experience deploying applications on Linux servers.</p></li><li><p>Understanding of software architecture and design patterns.</p></li></ul><p><strong>Preferred Skills</strong></p><ul><li><p>Experience with React.js.</p></li><li><p>Experience with Docker and containerized deployments.</p></li><li><p>Knowledge of AWS, Azure, or cloud platforms.</p></li><li><p>Experience with Celery, Redis, and background task processing.</p></li><li><p>Familiarity with WebSockets and real-time applications.</p></li><li><p>Knowledge of CI/CD pipelines.</p></li><li><p>Experience with ERPNext/Frappe Framework is an advantage.</p></li><li><p>Experience working on ERP, Logistics, Property Management, or Enterprise Applications is a plus.</p></li></ul><p></p></section>

<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 Software Trainee to join our development team in Kochi. In this entry-level position, you will receive on-the-job training, collaborate on real-world projects, and hone your technical and problem-solving skills under the guidance of experienced engineers.</p><br><strong>Responsibilities:</strong><br><ul><li>Assist in the design, development, and testing of software applications using Java and Python</li><li>Collaborate with cross-functional teams to gather and analyze requirements</li><li>Participate in code reviews and contribute to continuous improvement initiatives</li><li>Debug and troubleshoot issues to ensure software quality and performance</li><li>Document development processes, code changes, and testing results</li><li>Learn and apply best practices in software engineering and agile methodologies</li></ul><br><strong>Required Qualifications:</strong><br><ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field</li><li>0-2 years of experience or fresh graduates</li><li>Strong understanding of programming fundamentals (data structures, algorithms)</li><li>Proficiency in Java and Python programming languages</li><li>Excellent problem-solving and analytical skills</li><li>Effective verbal and written communication skills</li></ul><br><strong>Preferred Qualifications:</strong><br><ul><li>Internship or project experience in software development</li><li>Familiarity with version control systems (e.g., Git)</li><li>Basic knowledge of web frameworks (e.g., Spring, Django)</li><li>Exposure to agile/scrum methodologies</li><li>Certifications in Java or Python programming</li></ul><br></div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph">About the Role: Join our AI team in Kerala as an intern, where you'll support the development and deployment of machine learning and deep learning solutions. You’ll gain hands-on experience with Python, TensorFlow, and data analysis workflows, collaborating with senior engineers on data-driven AI projects. Responsibilities: Assist in designing, training, and evaluating machine learning and deep learning models using Python and TensorFlow Perform data collection, cleaning, and exploratory analysis to prepare datasets for model training Collaborate with senior engineers to implement and optimize ML pipelines and algorithms Monitor model performance and assist in hyperparameter tuning and experimentation Document experiments, code, and findings to maintain clear project records Participate in team meetings and present progress, insights, and results Required Qualifications: Bachelor’s degree in Computer Science, Engineering, Data Science or related field (or currently pursuing) 0–1 years of hands-on experience or academic exposure to machine learning and data analysis Proficiency in Python programming Fundamental understanding of machine learning concepts and deep learning architectures Experience with TensorFlow or equivalent deep learning framework Basic skills in data analysis, data preprocessing, and visualization Strong problem-solving skills and eagerness to learn in a fast-paced environment Good verbal and written communication skills Preferred Qualifications: Familiarity with PyTorch or other deep learning libraries Experience with cloud platforms such as AWS, GCP, or Azure Knowledge of version control systems like Git Exposure to natural language processing (NLP) or computer vision projects Prior research or project experience in AI/ML showcased in a portfolio </div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking an experienced Senior Digital Forensics, Incident Response &amp; Threat Hunting Specialist to join our Cyber Security team. The ideal candidate will have strong expertise in digital forensics, incident response, threat hunting, and malware investigations across enterprise environments. The role requires hands-on experience with SIEM, EDR, cloud forensics, and forensic investigation tools to identify, investigate, contain, and remediate cyber threats.</p><br><p>Key Responsibilities</p><ul><li><p>Conduct host, network, memory, and mobile forensic investigations.</p></li><li><p>Lead incident response activities including triage, containment, eradication, recovery, and post-incident reporting.</p></li><li><p>Perform proactive threat hunting using threat intelligence and the MITRE ATT&amp;CK framework.</p></li><li><p>Analyze security events using SIEM platforms such as Microsoft Sentinel and Splunk.</p></li><li><p>Develop and execute advanced KQL queries for threat detection and investigations.</p></li><li><p>Investigate endpoint security alerts using EDR solutions.</p></li><li><p>Perform malware analysis, log analysis, and packet capture analysis.</p></li><li><p>Conduct cloud forensic investigations across AWS and Microsoft Azure environments.</p></li><li><p>Automate forensic and incident response activities using Python and PowerShell.</p></li><li><p>Produce detailed technical reports and executive summaries.</p></li><li><p>Collaborate with SOC, Threat Intelligence, IT, and Infrastructure teams during investigations.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ol><li><p>Minimum 6 years of experience in Digital Forensics, Incident Response, or Threat Hunting.</p></li><li><p>Strong knowledge of Digital Forensics and Incident Response methodologies.</p></li><li><p>Hands-on experience with EnCase, FTK, Cellebrite, Oxygen Forensics, Volatility, and other forensic analysis tools.</p></li><li><p>Experience with Microsoft Sentinel, Splunk, or similar SIEM platforms.</p></li><li><p>Strong knowledge of EDR technologies.</p></li><li><p>Advanced experience writing Kusto Query Language (KQL) queries.</p></li><li><p>Experience in host, network, cloud, memory, and mobile forensics.</p></li><li><p>Strong understanding of log analysis and packet capture analysis.</p></li><li><p>Experience with AWS and Microsoft Azure cloud investigations.</p></li><li><p>Scripting skills using Python and/or PowerShell.</p></li><li><p>Strong understanding of the MITRE ATT&amp;CK framework.</p></li><li><p>Excellent analytical, communication, documentation, and problem-solving skills.</p></li><li><p>Ability to manage multiple incidents simultaneously in a fast-paced environment.</p></li></ol><br><p>Preferred Certifications</p><ul><li><p>GCFA</p></li><li><p>GCFE</p></li><li><p>GCIH</p></li><li><p>GNFA</p></li><li><p>GCIA</p></li><li><p>CHFI</p></li><li><p>EnCE</p></li><li><p>Microsoft SC-200</p></li><li><p>Splunk Certified Power User/Admin</p></li><li><p>AWS or Azure Security Certifications</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><strong>Automation Engineering</strong></p><ul><li><p>Build and maintain scalable UI and API automation frameworks using <strong>Playwright (TypeScript/JavaScript or Python)</strong>.</p></li><li><p>Integrate automated tests into CI/CD pipelines.</p></li><li><p>Improve execution speed, reliability, and reduce flaky tests.</p></li></ul><p><strong>Backend &amp; Event-Driven Testing</strong></p><ul><li><p>Validate asynchronous workflows and distributed systems using <strong>Kafka</strong> or similar messaging platforms.</p></li><li><p>Implement <strong>contract testing</strong> and schema validation to ensure reliable communication between microservices.</p></li><li><p>Verify event publishing, consumption, and end-to-end data integrity.</p></li></ul><p><strong>AI &amp; LLM Validation</strong></p><ul><li><p>Test and evaluate GenAI/LLM-based features for accuracy, relevance, and hallucination handling.</p></li><li><p>Work with evaluation frameworks such as <strong>Ragas, LangSmith, or TruLens</strong>.</p></li><li><p>Build and maintain datasets for regression and prompt validation.</p></li></ul><p><strong>Collaboration</strong></p><ul><li><p>Work closely with developers, AI engineers, and product teams to define quality strategies.</p></li><li><p>Participate in architecture, API, and prompt design discussions.</p></li></ul></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>5+ years of experience in QA Automation or Software Testing.</p></li><li><p>Strong hands-on experience with <strong>Playwright</strong>.</p></li><li><p>Experience testing APIs, microservices, and event-driven systems.</p></li><li><p>Good understanding of <strong>Kafka</strong>, contract testing, and schema validation.</p></li><li><p>Exposure to AI/LLM testing and RAG-based applications.</p></li><li><p>Proficiency in <strong>TypeScript, JavaScript, or Python</strong>.</p></li><li><p>Experience with CI/CD pipelines, Docker, and Kubernetes is a plus.</p></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph">About the Role: As an AI/ML Developer-2 based in Bengaluru, India, you will design, develop, and deploy advanced machine learning models and AI solutions to solve complex business problems. You will collaborate with cross-functional teams to build scalable, data-driven applications and drive innovation through end-to-end ML workflows. Responsibilities: Design, implement, and maintain machine learning models and algorithms using Python Perform data preprocessing, feature engineering, and statistical analysis on large datasets Collaborate with data engineers and software developers to integrate ML models into production systems Monitor and optimize model performance, retraining models as needed Conduct experiments to evaluate new algorithms and frameworks, and present findings to stakeholders Document code, processes, and model artifacts for reproducibility and compliance Stay up to date with the latest developments in AI/ML research and tools Required Qualifications: 5-7 years of professional experience in AI/ML development or related field Proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow or PyTorch Strong understanding of machine learning algorithms, deep learning architectures, and statistical modeling Experience with data preprocessing, feature engineering, and model evaluation techniques Familiarity with SQL and NoSQL databases for data extraction and manipulation Proven experience deploying ML models into production environments Preferred Qualifications: Experience with cloud platforms such as AWS, Azure, or GCP and their ML services Knowledge of MLOps practices, CI/CD pipelines, and containerization tools like Docker and Kubernetes Hands-on experience with big data technologies such as Spark, Hadoop, or Kafka Background in natural language processing, computer vision, or reinforcement learning Excellent problem-solving skills and ability to communicate technical concepts to non-technical stakeholders Master’s or higher degree in Computer Science, Engineering, or a related technical discipline </div></section>

<ul><li>Design, develop, and maintain robust, scalable, and efficient API automation frameworks using languages like Python, Java, or JavaScript.</li><li>Architect and implement comprehensive API test strategies, including functional, performance, security, and contract testing.</li><li>Integrate API automated tests into CI/CD pipelines for continuous feedback and rapid deployment cycles.</li><li>Collaborate closely with developers and product managers to understand feature requirements and translate them into effective test cases.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>6–8+ years of API Automation Testing experience in Banking/FinTech.</p></li><li><p>Strong hands-on experience with Playwright API, Rest Assured, PyTest.</p></li><li><p>Strong programming skills in TypeScript/JavaScript, Java, or Python.</p></li><li><p>Experience validating REST APIs, OAuth2, JWT, JSON Schema Validation.</p></li><li><p>Strong understanding of Enterprise Data Platform (EDP) testing.</p></li><li><p>Strong SQL skills with data transformation and reconciliation experience.</p></li><li><p>Experience with Open Finance/Open Banking, API Gateways, Middleware, Enterprise Integrations.</p></li><li><p>Knowledge of Kafka, MQ, Event Streaming is an advantage.</p></li><li><p>Experience with CI/CD, Git, Docker and Agile.</p></li></ul><p>Preferred Qualifications</p><ul><li><p>Experience in Banking, Financial Services, FinTech, Open Banking, or Open Finance.</p></li><li><p>Knowledge of Consent Management, API Security, and financial data sharing.</p></li><li><p>Experience with AWS, Azure, or GCP.</p></li><li><p>Familiarity with AI-assisted testing.</p></li><li><p>Excellent communication, stakeholder management, and cross-functional collaboration skills.</p></li><li><p>Self-driven with strong ownership and accountability.</p></li></ul><p>Skills</p><p>Playwright API</p><p>Rest Assured</p><p>PyTest</p>

<ul><li>Design, develop, and maintain robust, scalable, and efficient API automation frameworks using languages like Python, Java, or JavaScript.</li><li>Architect and implement comprehensive API test strategies, including functional, performance, security, and contract testing.</li><li>Integrate API automated tests into CI/CD pipelines for continuous feedback and rapid deployment cycles.</li><li>Collaborate closely with developers and product managers to understand feature requirements and translate them into effective test cases.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>6–8+ years of API Automation Testing experience in Banking/FinTech.</p></li><li><p>Strong hands-on experience with Playwright API, Rest Assured, PyTest.</p></li><li><p>Strong programming skills in TypeScript/JavaScript, Java, or Python.</p></li><li><p>Experience validating REST APIs, OAuth2, JWT, JSON Schema Validation.</p></li><li><p>Strong understanding of Enterprise Data Platform (EDP) testing.</p></li><li><p>Strong SQL skills with data transformation and reconciliation experience.</p></li><li><p>Experience with Open Finance/Open Banking, API Gateways, Middleware, Enterprise Integrations.</p></li><li><p>Knowledge of Kafka, MQ, Event Streaming is an advantage.</p></li><li><p>Experience with CI/CD, Git, Docker and Agile.</p></li></ul><p>Preferred Qualifications</p><ul><li><p>Experience in Banking, Financial Services, FinTech, Open Banking, or Open Finance.</p></li><li><p>Knowledge of Consent Management, API Security, and financial data sharing.</p></li><li><p>Experience with AWS, Azure, or GCP.</p></li><li><p>Familiarity with AI-assisted testing.</p></li><li><p>Excellent communication, stakeholder management, and cross-functional collaboration skills.</p></li><li><p>Self-driven with strong ownership and accountability.</p></li></ul><p>Skills</p><p>Playwright API</p><p>Rest Assured</p><p>PyTest</p>

<p>Position Title: AI Software Developer Employment Type: Full Time Salary AED: up to 12,000 inclusive depending on experience and qualifications Job Location: Abu Dhabi, UAE About the Client: An established industrial manufacturing company headquartered in Abu Dhabi delivering engineered fastening solutions to the industrial sectors across Middle East. Job Description: Develop and maintain AI-powered business applications, intelligent automation tools, and internal digital solutions. Build full-stack web applications using Python/Django, Node.js, React.js, HTML/CSS/JavaScript, and REST APIs. Integrate LLMs, prompt engineering, vector databases, and AI models into practical business applications and workflows. Work with the IT team on requirements, application support, databases, and occasional basic infrastructure/networking tasks.</p><p>40 years old and below At least 3 years of software development experience with strong hands-on expertise in Python and Django, along with full-stack development using React.js, JavaScript, HTML/CSS, REST APIs, and working knowledge of Node.js. Practical experience developing LLM/Generative AI applications, including prompt engineering, with preferably hands-on exposure to RAG and vector databases. Strong proficiency in NumPy and Pandas, with solid database knowledge and preferably experience working with Microsoft SQL Server. How to Apply: Send your CV in word format to: ITJOBZ2020 AT GMAIL DOT COM and use “AI Software Developer” as email subject</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Build and maintain reusable React JS component libraries</p></li><li><p>Translate Figma/XD designs into responsive, pixel-perfect UIs</p></li><li><p>Implement responsive layouts using Flexbox, CSS Grid, and mobile-first principles</p></li><li><p>Build data-heavy dashboards with charts, tables, and real-time widgets (Chart.js, Recharts)</p></li><li><p>Manage application state using Redux Toolkit, Zustand, or Context API</p></li><li><p>Integrate REST APIs and handle loading, error, and empty states gracefully</p></li><li><p>Optimize performance — lazy loading, memoization, code splitting, bundle size</p></li><li><p>Ensure cross-browser compatibility and WCAG 2.1 accessibility standards</p></li><li><p>Write unit tests with Jest and React Testing Library</p></li><li><p>Build and maintain RESTful APIs using Node.js (Express / NestJS)</p></li><li><p>Develop Python-based backend services or data pipelines (FastAPI / Flask)</p></li><li><p>Collaborate with AI/ML teams to integrate model outputs into frontend interfaces</p></li><li><p>Participate in design reviews and contribute to UI/UX decisions</p></li><li><p>Maintain clean, documented code with Git branching and PR workflows</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p><strong>Frontend (primary)</strong></p><ul><li><p>6+ years React JS in production</p></li><li><p>Strong JavaScript (ES6+) and TypeScript</p></li><li><p>Tailwind CSS, Material UI, or shadcn/ui</p></li><li><p>Responsive design — Flexbox, Grid, mobile-first</p></li><li><p>HTML5 / CSS3 — semantic markup, accessibility</p></li><li><p>REST API integration and async patterns</p></li><li><p>State management — Redux Toolkit / Zustand / Context API</p></li></ul><p><strong>Backend (secondary)</strong></p><ul><li><p>Node.js with Express or NestJS — REST API development</p></li><li><p>Python with FastAPI or Flask — service and API development</p></li><li><p>PostgreSQL or MongoDB — basic schema design and querying</p></li><li><p>JWT / OAuth 2.0 authentication patterns</p></li><li><p>Git, code reviews, Agile/Scrum</p></li></ul><br><p><strong>Nice to have</strong></p><ul><li><p>Next.js (SSR, SSG, ISR)</p></li><li><p>Data visualization — Chart.js, Recharts, D3.js</p></li><li><p>React Native or cross-platform mobile experience</p></li><li><p>Python data pipelines or LLM API integration (OpenAI, Azure OpenAI)</p></li><li><p>LangChain or RAG pipeline exposure</p></li><li><p>Banking or fintech domain knowledge</p></li><li><p>Azure or AWS basics</p></li><li><p>Microfrontend architecture (Module Federation)</p></li><li><p>WebSockets / real-time UI</p></li><li><p>Docker and CI/CD basics</p></li></ul><p><br></p></li></ul><p></p></section>

<ul><li><p>Develop robust full-stack applications and APIs using modern interfaces and event-drive and api-first backend services</p></li><li><p>Build reusable components and libraries using modern frameworks</p></li><li><p>Build cloud-native applications leveraging Microsoft Azure or other major cloud services</p></li><li><p>Optimize application frontend and backend for usability, performance, scalability, and security.</p></li><li><p>Implement data protection measures, authentication protocols, and security best practices</p></li><li><p>Collaborate with UI/UX designers, backend engineers, and product managers on refining features</p></li><li><p>Collaborate with Data Scientist and Data Engineers to improve the Data Quality and Insights.</p></li><li><p>Write unit, integration, and end-to-end tests to maintain code quality and reliability</p></li><li><p>Stay updated with industry trends, tools, and best practices</p></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, React, Angular, Vue.js, or similar</p></li><li><p>Skilled in designing and integrating secure, production-grade APIs, including API versioning, observability (monitoring, tracing, logging and implementing modern authentication mechanism</p></li><li><p>Hands-on experience with containerization and orchestration (Docker, Kubernetes)</p></li><li><p>AI/ ML, GenAI, and agentic frameworks (LangGraph, Microsoft Agent Framework, etc.) experience a bonus</p></li><li><p>Familiarity with CI/CD, version control, and deployment automation</p></li><li><p>Educational qualifications: Bachelor’s degree in Computer Science, Engineering, or related field required</p></li></ul><p>Skills</p><p>Python</p><p>Docker</p><p>AI/ML</p></li></ul>