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Ghobash Group

Full Stack Developer

Cairo, Cairo Governorate, eg · On-site · Full-time · Digital Transformation

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About the role

Node.jsReactVueAngularSpringMachine LearningJavaScriptDjangoFlaskREST APIsCI/CDTensorFlowMLOpsPythonTypeScriptJava
Code 81 is established in 2023, CODE81 operates autonomously from within the Technology Cluster of Ghobash Group as a highly agile services driven organization, committed to enabling future thinkers.             AI/ML Integration - Collaborate with AI/ML teams to understand and integrate models into live applications. - Deploy models using APIs, TensorFlow.js, ONNX, or direct embedding techniques. - Maintain model versioning, performance monitoring, and retraining pipelines (MLOps best practices).Backend Development - Develop robust APIs and backend logic using frameworks like Node.js, Django, or Flask. - Design scalable architectures for handling AI model inputs/outputs and data flow. - Integrate databases (PostgreSQL, MongoDB, Redis) for data persistence and caching.Frontend Development - Build dynamic, intuitive UIs using React, Angular, or Vue.js. - Visualize AI model outputs clearly for end-users (dashboards, predictive indicators, etc.). - Ensure UI responsiveness, accessibility, and performance across devices.Infrastructure & DevOps - Containerize applications using Docker and orchestrate via Kubernetes. - Manage deployments on cloud platforms like AWS, Azure, or GCP. - Implement CI/CD pipelines and monitor system health in production environments. - 2–4 years of professional experience in full-stack software development. - Strong programming skills in JavaScript/TypeScript (React, Node.js) and Python (Django, Flask). - Experience integrating AI/ML models via APIs or frontend embedding (e.g., TensorFlow.js). - Solid understanding of RESTful or GraphQL APIs and microservices architecture. - Familiarity with Git, Agile development, and continuous integration practices.Preferred: - Hands-on experience with Generative AI, LLMs, or platforms like Hugging Face, OpenAI, or LangChain. - Exposure to MLOps tools like MLflow, SageMaker, Kubeflow, or Vertex AI. - Working knowledge of secure coding practices and AI ethics (e.g., data privacy, model fairness). - Experience with real-time systems and streaming data (Kafka, WebSockets). Languages/Technologies: Java/J2EE, ReactJS, JQuery, JSON, HTML, JavaScript, CSS, PLSQL. Additional: Angular 7, VueJS, AngularJS. Frameworks: Spring Boot, Spring 4(MVC, ORM, AOP, SECURITY, Batch), Struts 2, Hibernate 3+. Database: Oracle 19c. Web Services: RESTful Web Services (JAX-RS), SOAP, JSON. Build Tool: Maven. Version Control : Bit Bucket. Development Tools: Eclipse STS, Jira, Tibco Jasper Report. Application Server: WebLogic Application server, Apache Tomcat Testing: Junit.