DevOps/Cloud/Security Engineer

Senior AI/ML Engineer Company: PassionXGroup Location: Egypt (Remote) Employment Type: Contract Seniority: Mid-Senior Level About PassionXGroup PassionXGroup is looking for a talented Senior AI/ML Engineer to design, develop, and deploy intelligent solutions that solve real-world business problems. We are seeking a hands-on engineer with strong machine learning fundamentals, practical Python development skills, and experience building reliable AI-powered applications. This is a remote opportunity for an engineer who enjoys solving complex technical challenges, collaborating with cross-functional teams, and turning innovative ideas into production-ready solutions. Key Responsibilities Design, develop, train, and optimize machine learning and deep learning models. Build and deploy AI-powered applications and intelligent automation solutions. Develop data processing pipelines for training, testing, and evaluating models. Apply natural language processing (NLP) techniques where relevant to business requirements. Evaluate model performance, accuracy, scalability, and reliability. Integrate AI/ML models into existing applications, APIs, and software systems. Write clean, maintainable, well-documented Python code. Collaborate with software engineers, data scientists, product teams, and business stakeholders. Monitor deployed models and improve performance through testing and iteration. Stay up to date with emerging AI/ML technologies and recommend practical improvements. Required Qualifications Strong proficiency in Python and software development fundamentals. Solid understanding of machine learning algorithms, model training, and evaluation. Practical experience with deep learning frameworks such as PyTorch or TensorFlow. Knowledge of data preprocessing, feature engineering, and exploratory data analysis. Experience working with relevant machine learning libraries, such as scikit-learn. Understanding of statistics, probability, and core data science concepts. Experience using Git and collaborative software development workflows. Ability to troubleshoot technical problems and communicate solutions clearly. Ability to work independently and collaborate effectively in a remote environment. Preferred Qualifications Experience deploying machine learning models into production environments. Familiarity with cloud platforms and model-serving infrastructure. Experience with REST APIs, Docker, and CI/CD workflows. Knowledge of large language models (LLMs), retrieval-augmented generation (RAG), or generative AI, if relevant to the project. Experience with model monitoring, performance optimization, and scalable data pipelines. What We Offer Remote working arrangement. Opportunity to work on practical AI and machine learning projects. Collaboration with a technology-focused team. Opportunities to develop technical expertise and contribute to AI-driven solutions. How to Apply Submit your application through LinkedIn with an updated CV highlighting your relevant AI/ML projects, technical skills, and professional experience. Please include links to your GitHub, portfolio, or relevant project work where available. PassionXGroup welcomes applications from qualified candidates who meet the requirements of this position. Show more

Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region’s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region. Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA. Role Summary We're looking for a Senior Full Stack Engineer to join the team building the region's leading property marketplace. You'll work on high-traffic, consumer-facing products, from the Next.js web experience to the services behind it, where latency, reliability and cost efficiency directly shape the experience of millions of buyers, renters and agents. This is a hands-on senior role. You'll design and own features and services end to end across frontend and backend, influence architecture beyond your immediate squad, and raise the engineering bar for the people around you. Key Responsibilities Design, build and operate the web experiences and backend services that power core marketplace experiences Own your work end to end across the stack: technical design, implementation, testing, deployment, observability, and iteration based on production data Build fast, accessible and SEO-friendly user-facing features in React and Next.js, using the right rendering and caching strategy for each page (SSR, static generation, client-side) Build new services and features primarily in TypeScript (Node.js), while supporting and evolving our existing Go services Work with product managers, designers and mobile engineers to turn requirements into well-architected, maintainable systems and polished user experiences Drive operational excellence on both server and client: monitoring, alerting, real-user monitoring, incident response, and continuous improvement of reliability and performance Mentor other engineers, review designs and pull requests thoroughly, and contribute to frontend and backend standards and best practices Desired Experience 6+ years of software engineering experience across frontend and backend, with significant time on high-traffic, consumer-facing systems Strong proficiency in TypeScript on both the backend (Node.js), which is the primary language for all new services and features, and the frontend Strong production experience with React and Next.js, including server-side rendering, data fetching and caching, and web performance (Core Web Vitals) Working proficiency in Go, or the ability to ramp up quickly. Our existing production services are written in Go, and you'll maintain and evolve them alongside new development Solid experience designing and operating microservices: API design (REST/gRPC), service boundaries, versioning, and inter-service communication patterns Production experience with AWS (ECS/EKS, Lambda, SQS/SNS, CloudFront, RDS, ElastiCache or equivalents) and containerised deployments on Kubernetes Hands-on experience with data stores and search: relational databases (MySQL/PostgreSQL), OpenSearch/Elasticsearch and Redis, including schema design, indexing strategy and query performance tuning Experience with event-driven architectures and asynchronous processing (Kafka, SQS or similar) Strong grounding in observability and reliability: metrics, structured logging, distributed tracing, SLOs and incident management Nice to have Experience integrating AI/LLM-backed features into production services (e.g. AWS Bedrock, prompt-serving infrastructure, latency and cost optimisation for model calls) Experience with edge computing (Lambda@Edge, CDN-level logic) and multi-region considerations Experience with frontend tooling at scale: monorepos (e.g. Turborepo), design systems, and frontend testing (Jest, Playwright) Experience with SEO-critical web applications, internationalisation and right-to-left (Arabic) layouts Exposure to billing/subscription systems, identity platforms, or geospatial/location data Experience in marketplace, classifieds, or other two-sided platform products How You Work You take ownership beyond your ticket: you notice problems, propose solutions and follow through You communicate technical trade-offs clearly to both engineers and non-technical stakeholders, and back your arguments with data You hold a high bar in code review and design review, and you make the engineers around you better You're pragmatic: you know when to build for scale and when to ship the simple thing, and you can quantify the cost of both Our promise to talent At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed. Property Finder Guiding Principles Think Future First Data Beats Opinions, Speed Beats Perfection Optimise for Impact Act Like An Owner The Biggest Risk is Taking no Risk at All Find Us At Twitter Facebook Instagram Linkedin Glassdoor Show more

Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region’s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region. Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA. Role Summary We're looking for a Full Stack Engineer to join the team building the region's leading property marketplace. You'll work across the stack on high-traffic, consumer-facing products, from the Next.js web experience to the services behind it, where latency, reliability and cost efficiency directly shape the experience of millions of buyers, renters and agents. This is a hands-on full-stack role. You'll build and own features end to end, with senior engineers around you to learn from and grow with. Key Responsibilities Build, ship and operate features across the web experience and the backend services that power core marketplace experiences Own your features end to end: implementation, testing, deployment, observability, and iteration based on production data Build fast, accessible and SEO-friendly user-facing features in React and Next.js Build new services and features in TypeScript (Node.js), and help support and evolve our existing Go services Work with product managers, designers and mobile engineers to turn requirements into maintainable systems and polished user experiences Take part in operational work: monitoring, alerting, on-call and incident follow-ups Review pull requests, contribute to design discussions, and help improve the team's standards and best practices Desired Qualifications 4+ years of software engineering experience across frontend and backend, including building production, consumer-facing applications Strong proficiency in TypeScript on both the backend (Node.js) and the frontend Production experience with React and Next.js, including server-side rendering and data fetching Willingness to work in Go. Our existing production services are written in Go, and you'll maintain them alongside new development (prior Go experience is a plus) Experience building and consuming APIs (REST/gRPC) in a microservices environment Hands-on experience with relational databases (MySQL/PostgreSQL), OpenSearch/Elasticsearch or Redis, including debugging and improving query performance Experience owning software in production: understanding how your services behave, diagnosing issues, and improving reliability and performance Solid engineering fundamentals: testing, maintainable code, code quality and pragmatic system design Nice To Have Production experience with AWS (ECS/EKS, Lambda, SQS/SNS, CloudFront, RDS, ElastiCache or equivalents) and containerised deployments on Kubernetes Experience with event-driven architectures and asynchronous processing (Kafka, SQS or similar) Experience with web performance (Core Web Vitals), SEO, internationalisation or right-to-left (Arabic) layouts Experience integrating AI/LLM-backed features into production services Experience in marketplace, classifieds, or other two-sided platform products How You Work You take ownership beyond your ticket: you notice problems, suggest fixes and follow through You explain technical trade-offs clearly to engineers and non-technical colleagues, and use data to back up your point of view You give and receive thoughtful code review, and you help keep the team's quality bar high You're pragmatic: you ship the simple thing when that's enough, and you recognise when a problem needs more investment You're curious and keen to grow, and you actively look for feedback on your work Our promise to talent At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed. Property Finder Guiding Principles Think Future First Data Beats Opinions, Speed Beats Perfection Optimise for Impact Act Like An Owner The Biggest Risk is Taking no Risk at All Find Us At Twitter Facebook Instagram Linkedin Glassdoor Show more

Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region’s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region. Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA. Position Summary We are looking for a Data Scientist with hands-on experience in machine learning and statistical methods to help build predictive and optimization models across our property portal. You will work on models that improve pricing accuracy, lead scoring, and listing quality, from feature development through deployment, working closely with engineering and business teams to deliver measurable impact. Key Responsibilities Design and implement predictive and optimization models using classical ML, statistical modeling, and deep learning techniques. Build and deploy models on AWS (SageMaker, Lambda, ECS), owning the full path from feature extraction to production, including MLOps practices like CI/CD for models and monitoring. Build evaluation pipelines and support A/B testing frameworks to validate model performance and reliability. Collaborate with engineering teams on production deployment, ensuring models meet latency and scalability requirements. Contribute to model monitoring practices, tracking performance drift and data quality over time. Cross-Team Collaboration Partner with engineering to optimize model deployment and operational workflows. Work with Product, Strategy, and Commercial teams to align on project objectives and translate business goals into data-driven initiatives. Desired Qualifications Education Bachelor's or above in Mathematics, Computer Science, Data Science, or a related quantitative field. Experience 4+ years in Data Science or Analytics roles with a demonstrable track record of business impact. Technical Skills Strong SQL and Python (pandas, NumPy, Scikit-learn), with experience in PyTorch or TensorFlow. Hands on experience with supervised and unsupervised methods, evaluation metrics, feature engineering, and model tuning. Experience deploying models on AWS, specifically SageMaker, Lambda, and ECS. Solid understanding of statistical methods, experimental design, and hypothesis testing. Nice to Have Experience with model explainability (e.g. SHAP), as our models influence pricing and search outcomes. GenAI experience and prompt engineering. Computer vision or NLP background. Soft Skills Strong communication skills, able to translate complex findings for non-technical audiences. Strong problem-solving ability, translating ambiguous business problems into technical solutions. Why Join Us? Contribute to cutting-edge AI and ML projects in a dynamic and fast-paced environment. Collaborate with top talent across diverse teams and disciplines. Be part of an innovative culture that values advanced research, strategic thinking, and impactful execution. Our promise to talent At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed. Property Finder Guiding Principles Think Future First Data Beats Opinions, Speed Beats Perfection Optimise for Impact Act Like An Owner The Biggest Risk is Taking no Risk at All Find Us At Twitter Facebook Instagram Linkedin Glassdoor Show more