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We're on the lookout for exceptional individuals to join our team as Principal Data Engineers. As a part of our team, you'll be driving change and making a significant impact in the gaming industry. Lead the design, development, and maintenance of end-to-end data analytical solutions using Microsoft on-premises and cloud technologies. Engage in collaborative requirement elicitation activities with our valued clientele. Mentor and guide junior team members in the field of data engineering. Showcase your expertise by delivering innovative analytical solutions to our clients and contributing to knowledge transfer within the organization. Requirements 6+ years of experience as a data engineer. Familiarity with analytical architectures including Data Warehouses, Data Lakes and Data Lakehouses. Knowledge of Microsoft relational engines available - both on-premises (MS SQL Server) and on the cloud (Azure SQL, Azure Synapse Analytics Dedicated Pools). Knowledge of query and workload optimization. Knowledge of administrating and managing analytical solutions both on premises and on the cloud. Knowledge of NoSQL offerings on Azure (e.g. CosmosDB). Knowledge of setting up Data Lakes on ADLS gen 2 and Azure Synapse Analytics. Knowledge of using SSIS and Azure Data Factory to set up ETL jobs. Knowledge of setting up OLAP solutions using SSAS. Familiarity with Azure Data Catalog to manage data lake metadata. Knowledge of governance over Azure based analytical solutions including using tools such as Purview, Active Directory, Key Vault, Azure DevOps, etc. Knowledge of using Azure Stream Analytics to capture and analyze data in real time. Knowledge of setting up data warehouse solutions both on-premises (using MS SQL Server) and on the cloud (using Azure Synapse Analytics). Knowledge of Dimensional Modeling (Dimensions, Facts, Slowly Changing Dimensions, Outriggers, Role Playing Dimensions, Junk Dimensions, Degenerate Dimensions, Multi-valued Dimensions, Transactional Facts, Periodic Snapshot Facts and Accumulating Snapshot Facts). Knowledge of implementing common ETL patterns to support data warehouse workloads. Knowledge of using U-SQL, PolyBase and Azure Data Lake Analytics to perform federated querying. Knowledge of PowerBI. Familiarity with SSRS. Snowflake Experience: Experience with Snowflake is required. Nice to Have: An MSc in Computer Science or other relevant field. Familiarity with Azure Databricks. Familiarity with DataOps Familiarity with Azure Cognitive Services. Familiarity with Azure ML. Familiarity with MLOps. Familiarity of containerization tools and frameworks (Docker, Kubernetes, etc.) Familiarity with Azure HD Insight. Familiarity with the Hadoop ecosystems, including tools like Hive, Spark and Kafka. Familiarity with Azure Functions to perform lightweight transformations. Benefits Salary paid in USD Six-month career advancing opportunities Supportive and friendly work environment Premium medical insurance [employee +family] English language development courses Interest-free loans paid over 2.5 years Technical development courses Planned overtime program (POP) Employment referral program Premium location in Maadi Social insurance Show more

Sutherland is a global leader specializing in AI, automation, cloud engineering, and advanced analytics to drive digital transformation and provide scalable business solutions for top-tier brands worldwide. With a strong emphasis on digital engineering services, we deliver innovative technologies and business process excellence, creating unique value propositions for our clients. Our commitment to innovation is demonstrated by our impressive portfolio of 363 independent inventions, including 250 AI-based solutions with patents in key technologies that continuously enhance business operations and transform user experiences. Sutherland’s cutting-edge solutions are delivered through a seamless "as-a-service" model, enabling rapid innovation and supporting sustainable business growth. Job Description This is a full-time on-site role located in Cairo for a Customer Service Specialist. In this role, the Customer Service Specialist will be responsible for delivering exceptional customer support, addressing inquiries, resolving issues, and maintaining high levels of customer satisfaction. Your day-to-day responsibilities will include: 📞 Handling customer interactions with efficiency and empathy. 🛠️ Providing tailored solutions to meet customer needs. 🌟 Ensuring a positive customer experience through effective communication and professional phone etiquette. If you are passionate about delivering outstanding service and enjoy problem-solving in a fast-paced environment, we want you on our team! Qualifications 🚀 We’re Hiring Talented People! 🌟 Fresh Grads & Dropouts are welcome to apply! 🎓 🔑 What we’re looking for: ✅ Fluency in English is a MUST! (B2/C1 level) 🇬🇧 ✅ Strong skills in Customer Service & Customer Support 🤝 ✅ Proven ability to enhance Customer Satisfaction & Customer Experience 💯 ✅ Problem-solving, active listening, & attention to detail 👂💡 ✅ Experience in a customer-facing role and familiarity with CRM tools is a plus! 🖥️ ✅ Flexibility with night & overnight shifts is essential 🌙 ✅ Proficiency in professional phone etiquette & communication techniques is a plus 📞💬 💼 If you’re passionate about making a difference and love helping customers, we want YOU! 🌟 Additional Information All your information will be kept confidential according to EEO guidelines. Show more

We Are Hiring! Integrant is looking for game changers to join our team as "Data Scientist - AI & Machine Learning" with below roles and responsibilities: Use mathematics, statistics, machine learning, and artificial intelligence techniques to extract knowledge and insights from structured, semi-structured, and unstructured data. Design, develop, evaluate, and deploy predictive and prescriptive machine learning models. Conduct open research and experimentation to develop innovative solutions for complex client challenges. Engage with clients and stakeholders to understand business needs and translate them into AI and Data Science solutions. Design and implement end-to-end Machine Learning and Generative AI solutions. Build and optimize Retrieval-Augmented Generation (RAG) systems and intelligent agent-based applications. Develop scalable model deployment and monitoring solutions using MLOps best practices. Monitor model performance, detect concept drift, and continuously improve deployed systems. Collaborate with software engineering teams to productionize AI applications and ensure reliability, scalability, and maintainability. Mentor and coach junior Data Scientists and Machine Learning Engineers. Lead technical discussions, knowledge transfer sessions, and client-facing AI engagements. Stay current with emerging AI, Machine Learning, MLOps, and Generative AI technologies and frameworks Requirements Education & Experience 7+ years of professional experience, including 5+ years in Data Science, Machine Learning & MLOps MSc in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative discipline Experience mentoring, coaching, or leading technical team members Data Science & Machine Learning Strong foundation in Machine Learning techniques including Classification, Regression, Clustering, Association Rule Mining, Feature Engineering, and Model Evaluation Experience with Deep Learning concepts and frameworks Extensive hands-on experience with Python and the Data Science ecosystem Experience with one or more ML frameworks such as Scikit-Learn, TensorFlow, Keras, or PyTorch Experience conducting research, experimentation, and hypothesis-driven analysis MLOps & Production AI Experience deploying and managing Machine Learning models in production environments Experience monitoring model performance, detecting concept drift, and driving continuous improvements Hands-on experience with MLOps practices, CI/CD pipelines, model versioning, experiment tracking, monitoring, and observability Experience deploying AI/ML solutions on cloud platforms such as Azure, AWS, GCP, or Databricks Experience with ML platforms and services including Azure ML, AWS SageMaker, or Google Vertex AI Familiarity with deployment and serving tools such as MLflow, FastAPI, and Streamlit Generative AI & Agentic AI Hands-on experience building Retrieval-Augmented Generation (RAG) solutions and semantic search applications Experience working with Vector Databases such as Pinecone, Weaviate, Chroma, Milvus, or Azure AI Search Experience using LLM orchestration frameworks such as LangChain, LangGraph, or similar technologies Experience working with Agentic AI frameworks such as LlamaIndex, CrewAI, AutoGen, or equivalent Experience implementing MCP (Model Context Protocol), tool calling, and function-calling workflows Strong understanding of prompt engineering techniques and LLM optimization Experience evaluating LLM applications using frameworks such as LangSmith, RAGAS, or similar tools Experience with Embeddings, Vector Retrieval, Semantic Search, Fine-Tuning, and LoRA techniques Nice to Have: Advanced AI & Data Science Reinforcement Learning (RL) Optimization techniques, including single-objective and multi-objective optimization Stochastic Local Search methods Knowledge Graphs and Graph Machine Learning Cloud & Data Engineering Experience building large-scale data pipelines on Azure, AWS, or GCP Experience with Databricks and Apache Spark Experience with distributed data processing architectures Leadership & Consulting Experience leading AI initiatives and technical strategy Experience working directly with international clients and stakeholders Experience defining AI architecture, standards, and best practices across teams Benefits Salary paid in USD Six-month career advancing opportunities Employee parking space Supportive and friendly work environment Premium medical insurance [employee +family] English language development courses Interest-free loans paid over 2.5 years Technical development courses Planned overtime program (POP) Employment referral program Premium location in Maadi & Nasr City Social insurance Opportunity to travel and work onsite with U.S. customers In-house Technical and English training programs Dedicated learning time (check out our 4Plus1 Program) Flexible work schedules Perks: events, sponsored lunch, game area, rooftop hangout + more! Show more

Westview International Language School is seeking a passionate and dedicated Middle and High School English Teacher for the 2026/2027 academic year. The successful candidate will deliver engaging English lessons, supporting students in developing strong literacy, communication, and critical thinking skills. You will work collaboratively with colleagues to create a positive, supportive, and inspiring learning environment. Requirements Bachelor's degree in English, Education, or relevant field Teaching certification is preferred. Excellent communication and interpersonal skills Ability to foster a nurturing and effective learning atmosphere Good organizational skills and adaptability Safeguarding Statement: the school is committed to safeguarding and promoting the welfare of all students. All appointments are subject to satisfactory background and reference checks. Benefits Tuition Discount for Dependents Medical Insurance for Self Transportation Show more

Financial Accounting & Closing Maintain accurate general ledger records Perform monthly, quarterly, and annual closing Prepare financial statements (Income Statement, Balance Sheet, Cash Flow) Ensure correct accounting for retail, e-commerce, and marketplace sales Handle accruals, prepayments, depreciation, and provisions Revenue & Cash Reconciliation Reconcile daily/weekly sales from stores, Shopify, and marketplaces Reconcile collections vs sales Reconcile courier COD collections Investigate discrepancies across systems Maintain aging of receivables and pending collections Inventory & Cost Accounting Maintain inventory across warehouse, stores, and production Track raw materials, WIP, and finished goods Calculate COGS and product-level costs Monitor stock movements, shrinkage, and write-offs Support margin analysis per SKU and category Payables, Expenses & Cost Control Record supplier invoices and production costs Track marketing, shipping, and logistics costs Monitor budget vs actuals Identify cost leaks and inefficiencies Taxation & Compliance (Egypt) Prepare and file VAT returns and payroll taxes Ensure compliance with Egyptian tax laws Coordinate with auditors and tax advisors Reporting & Business Support Prepare monthly management reports Support pricing and campaign profitability analysis Provide financial insights to management Required Qualifications Bachelor’s degree in Accounting, Finance, or Business Administration CPA/CMA is a plus 5–8 years of experience in retail, e-commerce, or manufacturing Technical Skills Strong financial and cost accounting knowledge Advanced Excel skills Experience with accounting software and Shopify Ability to reconcile large data sets Core Competencies High attention to detail Strong analytical skills High integrity and confidentiality Ability to work under pressure Show more

تعلن شركة بيور لايف – بالمنطقة الحرة العامة بميناء دمياط – عن حاجتها لتعيين أخصائي موارد بشرية بدوام كامل، على أن تتوفر فيه الشروط التالية: المتطلبات: خبرة عملية لا تقل عن 5 سنوات في مجال الموارد البشرية. مؤهل جامعي مناسب (يفضل تخصص إدارة أعمال أو موارد بشرية). معرفة جيدة بقوانين العمل والتأمينات الاجتماعية والضرائب. إجادة التعامل مع برامج الحاسب الآلي وخاصة Microsoft Office . خبرة في استخدام نظام ERP، ويفضل من لديه خبرة في برنامج Odoo. يُفضل الحاصلون على دبلومة في الموارد البشرية. مهارات تواصل عالية وقدرة على العمل ضمن فريق. يُفضل من لديه خبرة في بيئة صناعية. المهام الرئيسية: إدارة وتحديث ملفات وسجلات الموظفين. إعداد عقود العمل ومتابعة إجراءات التعيين والاستقالة وإنهاء الخدمة. الإشراف على الحضور والانصراف ونظام الرواتب. متابعة التأمينات الاجتماعية والرعاية الصحية. تطبيق السياسات والإجراءات الداخلية الخاصة بالموارد البشرية. إعداد التقارير الدورية الخاصة بالموارد البشرية ورفعها للإدارة. المساهمة في تقييم الأداء وتخطيط التدريب والتطوير. 📅 أيام العمل: من الأحد إلى الخميس 🕗 ساعات العمل: من 8 صباحًا حتى 5 مساءً لمن تتوفر فيه الشروط، يرجى إرسال السيرة الذاتية إلى البريد الإلكتروني التالي: mai.wali@purelife-filters.com أو من خلال واتساب رقم: 01003050841 مع كتابة "أخصائي موارد بشرية" في عنوان الرسالة. Show more