← العودة إلى الوظائف

فرصة عمل

Sr. AI & Data Engineer (Google Cloud Platform)

ZTechnium

هجين
الموقعQesm 1st Nasser City, Cairo, Egypt
نوع الوظيفةدوام كامل
نظام العملهجين
الراتبغير محدد
تاريخ النشر

ملخص JobPlatform

نظرة سريعة على الوظيفة

هذه الوظيفة لدى ZTechnium، في Qesm 1st Nasser City, Cairo, Egypt، بنظام دوام كامل، ونظام العمل هجين. تفاصيل الوظيفة والمهارات المعروضة أدناه مأخوذة من إعلان الوظيفة الأصلي.

ملف الشركة

عن الشركة

AIهذا الملخص مُعد بمساعدة الذكاء الاصطناعي اعتمادًا على المعلومات المتاحة، وقد لا يعكس جميع تفاصيل الشركة.

ZTechnium is a technology-focused organization seeking skilled professionals to drive innovation in AI and data solutions. The company is currently recruiting for roles such as Sr. AI & Data Engineer with expertise in Google Cloud Platform, indicating a strong emphasis on cloud-based technologies and advanced analytics. While the exact industry and operational scope are not specified, the job titles suggest involvement in software development, data science, and enterprise-level infrastructure. ZTechnium appears to operate in an environment requiring robust technical capabilities and strategic problem-solving. The company's focus on AI and cloud computing points toward potential applications in sectors such as finance, healthcare, or logistics, though specific client engagements remain undisclosed. As a forward-thinking entity, ZTechnium is likely positioned to leverage emerging technologies to deliver scalable and intelligent solutions.

الوصف الأصلي

عن الوظيفة

ZTechnium is looking for an experienced, hands-on Sr. AI & Data Engineer to design, develop, and own the end-to-end Data and AI pipeline for an enterprise AI Insights platform built on Google Cloud Platform (GCP). The solution integrates structured enterprise data, operational systems, and document repositories to provide AI-powered analytics, natural-language querying, intelligent reporting, and knowledge retrieval. The ideal candidate combines strong Python and data engineering experience with practical expertise in Vertex AI, Gemini, BigQuery, RAG, and production-grade AI orchestration. This is a hands-on engineering role requiring architectural ownership and active implementation, not just technical supervision. Key Responsibilities 1. Data Engineering & Integration Design and implement end-to-end data ingestion, transformation, and processing pipelines. Integrate enterprise applications through REST APIs and approved enterprise integration gateways. Build structured data pipelines for analytical queries, KPIs, aggregations, and reporting. Develop and optimize data models and analytical queries using BigQuery, PostgreSQL, and SQL. Implement data validation, reconciliation, quality checks, and efficient data refresh mechanisms. 2. Generative AI & AI Orchestration Design and implement AI services using Google Vertex AI and Gemini models. Build AI orchestration pipelines supporting intent classification, tool calling, structured data queries, and conversational interactions. Develop Retrieval-Augmented Generation (RAG) solutions for enterprise document knowledge bases. Implement document ingestion, parsing, chunking, embeddings, vector indexing, and semantic retrieval. Build hybrid AI workflows combining structured operational data with unstructured enterprise documents. Ensure AI-generated answers are grounded in verified enterprise data, with accurate citations and traceability. 3. Google Cloud Engineering Design and deploy AI and data workloads using GCP services such as: Vertex AI / Gemini BigQuery Cloud Run and Cloud Run Jobs Cloud SQL / PostgreSQL Pub/Sub and Cloud Tasks Cloud Storage Vertex AI Vector Search or pgvector Cloud Logging and Monitoring Optimize cloud infrastructure usage, AI model consumption, latency, scalability, and operating costs. Collaborate with DevOps engineers on secure deployment, monitoring, and CI/CD processes. 4. AI Quality, Performance & Governance Implement AI evaluation frameworks to measure answer accuracy, retrieval relevance, and grounding quality. Ensure numerical accuracy through deterministic business logic and validated analytical results. Implement data-access controls, sensitive-data protection, auditability, and secure AI service integration. Develop monitoring and troubleshooting mechanisms for AI pipelines and data-processing jobs. Optimize performance using caching, efficient retrieval, asynchronous processing, and model-routing strategies. 5. Technical Ownership & Collaboration Own the architecture, implementation, and technical delivery of the Data and AI components. Collaborate with backend, frontend, cloud, and QA engineers. Produce architecture diagrams, technical documentation, and integration specifications. Participate in technical discussions, solution design workshops, and production troubleshooting. Support testing, deployment, knowledge transfer, and operational handover. Required Qualifications 5+ years of professional software engineering or data engineering experience. Strong hands-on experience with Python and SQL. Proven experience building production data-processing pipelines. Practical experience with Google Cloud Platform, particularly Vertex AI, BigQuery, and Cloud Run. Experience building production Generative AI applications using LLM APIs. Strong understanding of RAG, embeddings, vector databases, semantic search, and AI orchestration. Experience integrating external enterprise systems and APIs. Knowledge of PostgreSQL, data modelling, query optimization, and data validation. Experience developing backend services using FastAPI or similar Python frameworks. Strong debugging, system design, and performance optimization skills. Ability to independently own and deliver complex technical components from architecture through production. Nice to Have Google Cloud Professional Data Engineer or Professional Machine Learning Engineer certification. Experience with Google Agent Development Kit (ADK), LangGraph, or similar orchestration frameworks. Experience with IBM API Gateway / ESB integrations. Experience integrating Azure Blob Storage or SharePoint document repositories. Experience with Document AI, OCR, and enterprise document processing. Knowledge of Terraform, CI/CD, IAM, and cloud security best practices. Previous experience delivering enterprise AI analytics, compliance, or reporting platforms. What Success Looks Like The successful candidate will deliver: Reliable, validated pipelines integrating approved enterprise data sources. Governed analytical data services supporting accurate KPIs, comparisons, and reports. A production-ready RAG pipeline for approved enterprise documents. A secure AI orchestration layer that combines structured and unstructured information. Accurate, traceable AI responses with appropriate performance, monitoring, and access controls. Documented, tested, maintainable AI and data components ready for production deployment. How to apply Please share your CV along with a brief description of a production AI or data engineering solution you have personally designed and implemented. We are particularly interested in candidates who have worked on end-to-end Generative AI solutions using Google Cloud Platform, rather than standalone chatbot prototypes. Show more

المسار المهني

نظرة عامة على الدور

AIهذا الملخص مُعد بمساعدة الذكاء الاصطناعي اعتمادًا على المعلومات المتاحة، وقد لا يعكس جميع تفاصيل الشركة.

This role involves designing and implementing data pipelines and AI solutions using cloud technologies. The individual is responsible for integrating data systems and ensuring scalable, reliable AI applications.

المهارات

المهارات المطلوبة

PythonMachine LearningGenerative AILLMRAGLangGraphFastAPISQLPostgreSQLVector DatabaseAzureGoogle CloudGCP

مصدر الوظيفة

إعلان الوظيفة الأصلي

تم العثور على هذه الوظيفة من خلالLinkedIn. يمكنك مراجعة الإعلان الأصلي من خلال رابط المصدر قبل التقديم.

عرض الإعلان الأصلي ↗

وظائف أحدث قد تناسبك

اكتشف فرصًا حديثة مرتبطة بهذا الإعلان.

LinkedIn

Application supervisor.Net (AI/LLM integration)

Xceed

Location: Cairo, Cairo, EgyptType: دوام كاملPosted:

Company Description Xceed is a leading multilingual Business Process Outsourcing provider in the EMEA region, operating more than 10,000 web-enabled multichannel stations. The company manages diverse outsourcing agreements with government and commercial clients in 10 languages and maintains operational sites in Egypt, Morocco, Mauritius, UAE, and a new site in Saudi Arabia. Xceed delivers a broad range of services including inbound and outbound support, back-office operations, infrastructure management, recruitment process outsourcing, helpdesk support, and social media analysis. The organization is consistently recognized by IAOP, INSIGHTS Middle East Call Centre & CX Awards, Gulf Sustainability Awards, ICXA, IBXA, and Global ESG Awards for excellence in outsourcing, impact sourcing, ESG, CSR, and customer experience. Xceed operates under multiple international standards and certifications, including COPC and ISO frameworks for quality, security, continuity, environmental management, and occupational health and safety. Role Description This full-time Application Supervisor .NET (AI/LLM Integration) role is based in Cairo in a hybrid model, with a mix of on-site presence and work-from-home flexibility. The role is responsible for supervising and supporting .NET-based applications, with a focus on integrating AI and large language model capabilities into existing and new systems. Day-to-day tasks include monitoring application performance, overseeing incident resolution, coordinating technical support activities, and guiding troubleshooting for production and pre-production environments. The Application Supervisor collaborates with development, infrastructure, and operations teams to ensure stable, secure, and scalable application services, and contributes to requirements analysis, solution design, and testing of AI/LLM features. The role also involves documenting processes, mentoring team members, communicating with internal stakeholders, and continuously identifying opportunities to improve reliability, usability, and automation across Xceed’s applications. Requirements: - Bachelor's degree in Computer Science, Software Engineering, or a related field. - Minimum 4 years of software development experience, including 2+ years in a senior or leadership role. - Strong experience with C#, ASP.NET Core, Entity Framework Core, and REST APIs. - Experience with PostgreSQL or SQL Server. - Good knowledge of React or Angular. - Experience with Git, Docker, CI/CD, and Agile methodologies. - Hands-on experience with AI coding assistants and LLM integration is a strong advantage. - Strong leadership, mentoring, communication, and problem-solving skills. - Fluent in English. Show more

LLMSQLPostgreSQLDockerGitReactAgile
LinkedIn

Technical Support Engineer – Kubernetes (Aftersales)

MicroSourceIQ

Location: EgyptType: دوام كاملPosted:

We are seeking a Pre-sales Engineer, you will be responsible for providing technical guidance, support, and solutions to our customers in the cloud and container platform area. You will also work closely with our internal teams to develop and implement solutions to improve our offerings and ensure customer satisfaction. Key Responsibilities: Provide customers with on-site guidance and training for product trials, help customers solve technical problems, become a technical communication bridge between customers and the company, and maintain good customer relations. Cooperate with the sales team to identify business opportunities, provide solutions and pre-sales technical support. Responsible for the preparation of project proposals, bids, test reports, implementation plans and other technical documents. Collect and sort out the needs of the client and the market, and provide more accurate and timely information for back-end products and R&D. Participate in relevant marketing activities and keynote speeches. Carry out technical exchanges and cooperation with partners. Qualifications: - Bachelor's degree in Computer Science, Computer Engineering, or related field. - Experience in IT and Internet related companies is preferred. . - It’s better to be familiar with the mainstream technology and related company products in the cloud computing industry. -With experience in Cloud Technologies, Kubernetes (K8s), OpenShift (OCP), and DevOps. - Experience in pre-sales, R&D or operation and maintenance of medium is preferred. - Excellent communication skills, including the ability to communicate technical information to both technical and non-technical audiences. - Ability to work independently and collaboratively in a team environment. - Strong problem-solving and analytical skills. If you meet the above qualifications and are passionate about cloud technologies, DevOps practices, Kubernetes, and container platform technology, we encourage you to apply for this exciting opportunity to join our team as a Pre-sales Engineer in the cloud , DevOps, Kubernetes, and container platform area. Work Arrangement: Client-site visits as required, with the remaining time working from home. Show more

Kubernetes
LinkedIn

Automation & Orchestration Lead

DXC Technology

Location: Cairo, Cairo, EgyptType: دوام كاملPosted:

Job Description Essential Job Functions: Define the enterprise automation and orchestration strategy, roadmap, standards, and governance. Design and deliver reusable workflows, runbooks, playbooks, and automation modules. Lead automation engineering using Ansible and CI/CD orchestration using Jenkins. Drive RPA initiatives for repeatable business and IT operational processes. Design and manage workflows using OpenText / Micro Focus Operations Orchestration. Integrate automation with ServiceNow, monitoring platforms, enterprise APIs, and cloud services. Implement secure access, credential management, testing, release, audit, and change controls. Lead automation engineers, conduct architecture reviews, resolve escalations, and maintain technical documentation. Basic Qualifications 12+ years of overall IT experience, including 5+ years in automation, orchestration, DevOps, or platform engineering leadership. Ansible / Red Hat Ansible Automation Platform Jenkins RPA platforms such as UiPath, Automation Anywhere, or Microsoft Power Automate OpenText / Micro Focus Operations Orchestration Python, PowerShell, Shell scripting, REST APIs, Git, and Terraform ServiceNow integration and Azure / AWS automation exposure At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here. Show more

PythonGitAWSAzure
LinkedIn

E-commerce Data Analyst

Alignerr

عن بُعد
Location: EgyptType: عقدPosted:

E-commerce Data Analyst (AI Training) About The Role What if your eye for detail and familiarity with online shopping could directly improve the AI tools that millions of people use to discover and buy products every day? We're hiring E-commerce Data Analysts to review, categorize, and improve product data that powers AI-driven shopping and recommendation systems. This is a fully remote, flexible contract role — open to anyone with strong organizational instincts and a sharp eye for quality. No prior e-commerce or retail experience required. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Review product listings for accuracy, completeness, and correct categorization Evaluate AI-generated product descriptions and recommendation outputs Tag and classify products using structured category systems and guidelines Identify duplicate, misleading, or low-quality product entries Provide clear, structured feedback to help improve AI-powered product search and discovery Work independently and asynchronously on your own schedule Who You Are Familiar with online shopping platforms and how product categories work Naturally detail-oriented with a systematic, consistent approach Comfortable working with structured data and web-based tools Strong written communication skills — able to document feedback clearly Self-motivated and reliable when working independently No e-commerce, retail, or AI experience required Nice to Have Experience with data entry, cataloging, or quality assurance Background in retail, merchandising, or digital marketing Familiarity with e-commerce platforms such as Amazon, eBay, or Shopify as a buyer or seller Why Join Us Work on cutting-edge AI projects alongside leading research labs Fully remote and flexible — work when and where it suits you Freelance autonomy with the structure of meaningful, task-based work Contribute to AI development that directly shapes how people find and buy products online Potential for ongoing work and contract extension as new projects launch Show more