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The Senior AI Engineer is a senior individual contributor with deep expertise in a specific domain of AI/ML, responsible for tackling the most complex technical challenges, driving architectural decisions for critical AI components, and setting technical standards. This role requires a blend of advanced research understanding and robust engineering skills to bring cutting-edge AI innovations into production. The difference you will make Act as a subject matter expert in one or more specialized AI/ML domains (e.g., Generative AI, Explainable AI, Large Language Models, Reinforcement Learning, Real-time Anomaly Detection). Lead the design and implementation of highly scalable, fault-tolerant, and high-performance AI systems and infrastructure. Evaluate and integrate new AI/ML research, algorithms, and technologies into product development. Drive continuous improvement in MLOps, model monitoring, and model governance frameworks. Provide expert technical guidance and mentorship to other AI Engineer 1s and Associates. Conduct complex performance tuning, optimization, and debugging of AI/ML models and pipelines. Participate in strategic planning for AI initiatives, identifying opportunities for technological advancement. Influence technical direction and architecture discussions within the AI/ML team and across engineering. Lead code reviews for critical components, ensuring architectural integrity, performance, and maintainability Requirements Education: Bachelor's degree or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field. Experience: 5+ years of progressive experience in AI/ML engineering, with a proven track record of designing and deploying complex AI systems into production. Demonstrated deep expertise in a specific AI sub-field Technical Skills: Expert-level proficiency in Python and advanced ML/DL frameworks (e.g., PyTorch, TensorFlow, JAX). Extensive experience with cloud-native AI/ML services and distributed computing frameworks (e.g., Spark, Ray). Deep understanding and hands-on experience with MLOps best practices, including CI/CD, model serving, and monitoring in production environments. Strong architectural design skills for complex data pipelines and scalable AI inference systems. Proficiency in system design, distributed systems, and performance optimization. Ability to critically evaluate and apply academic research to real-world problems Soft Skills: Strong ownership and accountability for assigned work. Clear and professional verbal and written communication. Effective time management and task prioritization. o Analytical thinking and problem-solving skills. Ability to work independently, collaborate effectively and mentor junior team members. Ability to actively listen to customers and accurately understand their needs, expectations, and challenges. Adaptability and learning agility in a fast-paced environment. Strong attention to detail and a commitment to quality. Receptiveness to feedback and continuous improvement mindset Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate. Show more

Role Overview We are looking for a Mid-Level AI Engineer with hands-on experience in Natural Language Processing, LLM-based applications, RAG, and speech/voice technologies. The engineer will help design, build, evaluate, and deploy AI-powered solutions for education, automation, content operations, and user engagement. This role is important for the Fahem roadmap and the wider AI layer across the eyouth learning journey, including in-course tutoring, transcription, quiz generation, Arabic AI capabilities, and trainer evaluation. Key Responsibilities Design and develop AI applications using LLMs, NLP techniques, and production-ready Python services. Build conversational AI systems, chatbots, AI assistants, and education-focused copilots. Develop and optimize voice AI pipelines, including Speech-to-Text, Text-to-Speech, and voice interaction flows. Implement Retrieval-Augmented Generation (RAG) architectures using embeddings, vector databases, and approved knowledge sources. Fine-tune, evaluate, and monitor language models for production use cases where appropriate. Build REST APIs and scalable backend services for AI-powered features. Integrate OpenAI APIs, Hugging Face models, LangChain/LlamaIndex, and other AI services. Work on Arabic NLP use cases, including Arabic content understanding, dialect handling, and learner support. Collaborate with product, backend, frontend, data, and training teams to deliver AI-driven features. Monitor AI quality, latency, cost, hallucination risk, and reliability in production. Requirements And Qualifications 2-3 years of hands-on experience in AI, ML, NLP, or LLM application development. Strong Python experience and ability to build clean, maintainable services. Hands-on experience with NLP and LLM frameworks. Knowledge of Arabic NLP and Arabic language use cases. Experience with OpenAI APIs, LangChain or LlamaIndex, and Hugging Face Transformers. Good understanding of prompt engineering, RAG systems, embeddings, and retrieval evaluation. Experience with vector databases such as Pinecone, Weaviate, ChromaDB, or similar. Familiarity with REST APIs, backend development, and Git-based collaboration. Practical experience with Voice AI, including STT, TTS, or voice interaction workflows. Experience deploying AI systems on AWS, Azure, or GCP. Experience fine-tuning or evaluating open-source LLMs. Experience with AI observability, model evaluation, guardrails, and cost optimization. Experience in EdTech, learning platforms, tutoring systems, or Arabic content products. If you meet the above requirements and are looking for a challenging and rewarding opportunity to join our team, please submit your resume to (careers@eyouthlearning.com) & mention the job title in the subject 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 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 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 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 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 Flexible work schedules Perks: events, sponsored lunch, game area, rooftop hangout + more! Show more

About SSE SSE is a leading engineering consultancy, recognised for delivering advanced, sustainable, and innovative solutions across major infrastructure and building projects. With a strong reputation in structural and civil engineering, SSE provides an inclusive, collaborative, and development-focused environment. When you join SSE, you help shape resilient, future-proof communities and infrastructure, making a positive contribution to society and the environment. Role Overview – Mechanical Design Engineer | Innovative Design & Sustainable Engineering We are seeking a talented and motivated Mechanical Design Engineer to join the growing team at SSE. In this exciting position, you will use your expertise to design, develop, and optimize mechanical systems and components for diverse infrastructure and building projects. If you are passionate about creative engineering, sustainable solutions, and effective team collaboration, we invite you to advance your career as part of SSE’s renowned mechanical engineering team. Main Responsibilities – Mechanical Systems Design, Project Delivery & Technical Innovation Lead and contribute to the concept, development, and detailed design of mechanical systems and components aligned to project and client requirements. Prepare high-quality design documentation, technical reports, specifications, and engineering calculations, ensuring compliance with relevant codes and standards. Support multidisciplinary project teams through all stages of project design, development, and delivery—including feasibility, value engineering, and construction phases. Conduct detailed analysis using advanced modelling and simulation tools to ensure optimized, efficient, and sustainable mechanical designs. Oversee the selection, sizing, and integration of mechanical equipment, materials, and sustainable technologies to meet or exceed project goals. Promote a culture of innovation, quality, and continuous improvement across engineering practices and project outcomes. Liaise confidently with clients, stakeholders, contractors, and suppliers to resolve technical issues and assure the delivery of robust solutions. Champion safe working practices and embed environmental, ethical, and sustainability considerations into every aspect of your engineering work. Keep up-to-date, clear records while supporting the preparation of drawings, bill of materials, schedules, and operations and maintenance manuals. What You Bring – Mechanical Engineering Experience, Technical Skills & Collaboration Degree-qualified in Mechanical Engineering or related discipline, or equivalent experience. Demonstrated experience in mechanical design, ideally within the engineering consultancy, infrastructure, or building services sectors. Proficient in 3D CAD modelling, engineering analysis, and relevant design software (such as AutoCAD, Revit, SolidWorks, or similar). Sound knowledge of mechanical engineering principles, system integration, and sustainability best practices within UK regulations. Excellent written and verbal communication skills with the ability to explain complex concepts and work collaboratively across diverse teams. Proactive, adaptable, and detail-focused, with a strong commitment to delivering innovative and sustainable outcomes. Dedicated to promoting SSE’s values of inclusion, integrity, and quality—helping foster a positive, safe, and respectful workplace for all. Working towards or holding membership of an appropriate professional institution (IMechE, CIBSE, or equivalent) is desirable. Why SSE – Develop Your Mechanical Design Engineering Career & Join an Inclusive Team Deliver meaningful mechanical engineering solutions across nationally significant infrastructure and building projects. Benefit from structured professional development opportunities, mentoring, and support towards chartership or professional accreditation. Be valued within a friendly, gender-neutral, and truly inclusive environment where your perspective and growth matter. Enjoy competitive remuneration, flexible benefits, and working arrangements that respect your ambitions, inside and outside of work. Join a consultancy dedicated to technical excellence, sustainability, and innovative thinking in every project. Join SSE – Drive Sustainable Mechanical Engineering & Shape the Future If you are ready to deliver high-impact mechanical design engineering, supporting value-driven and sustainable projects in the built environment, we would love to hear from you. SSE values diversity, equity, and inclusion, ensuring all team members thrive and contribute meaningfully to our world-class organization. Show more

Who are we? At Oils & Grains, we are more than just a trading company — we are a growing global group of companies shaping the future of international soft commodities and food supply chains. Established in Egypt in 2010, our company has expanded into multiple international markets through innovation, operational excellence, and a strong global network of partners. With offices and operations across different regions, we specialize in the trading, processing, and distribution of edible oils, grains, and agricultural commodities worldwide. Backed by extensive expertise in international trade, supply chain management, and global market dynamics, we collaborate with trusted partners across Africa, the Middle East, Asia, Europe, and the Americas. Joining our team means becoming part of an ambitious and fast-growing international environment where talent, collaboration, and innovation create a real global impact. What will you be doing? Oversee and review the full accounting cycle, including Accounts Payable (AP), Accounts Receivable (AR), and General Ledger (GL) activities, ensuring accuracy, completeness, and compliance with accounting standards and company policies. Review daily financial transactions and accounting entries to ensure proper classification of revenues, expenses, assets, and liabilities. Supervise and validate journal entries, including accruals, provisions, prepayments, depreciation, and month-end adjustments prepared by the accounting team. Ensure all general ledger accounts are properly maintained, reconciled, and supported with appropriate documentation. Lead monthly, quarterly, and year-end closing activities and ensure timely completion of all required schedules and reconciliations by the team. Review and ensure the accuracy of financial statements, management reports, and supporting schedules prior to submission to management. Monitor and review bank reconciliations, balance sheet reconciliations, intercompany balances, receivables, payables, and other key accounts, ensuring discrepancies are resolved promptly. Ensure proper execution of accounting processes within the team and maintain strong internal controls across all finance activities. Review accounting transactions and supporting documents to ensure compliance with company policies, accounting standards, and regulatory requirements. Coordinate with auditors and support audit processes by ensuring readiness and availability of accurate financial records and supporting documentation. Analyze financial reports and accounting data to identify inconsistencies, risks, and areas for operational or financial improvement. Guide and support the accounting team to ensure high performance, accountability, and continuous process improvement within the finance function. What are we looking for? Holding a bachelor’s degree in accounting/ finance from a reputable university CMA, CPA, or equivalent professional certification is considered a plus Minimum 4 Years of work experience; preferably within a corporate entity Strong hands on-experience in AP, AR, and GL including month-end closing activities Solid understanding of accounting principles, financial statements, and reconciliations Proficiency in ERP/accounting systems and advanced Microsoft Excel skills High flexibility and agility Strong willingness to learn and adapt in a fast-paced environment Proficient in Microsoft Excel (Formulas and basic analysis) Oils & Grains is an equal opportunity employer committed to fairness, transparency, accountability, and social responsibility throughout the recruitment process. We foster an inclusive workplace culture built on respect, collaboration, and equal access to opportunities for all individuals. We value ownership, integrity, professionalism, and diversity of thought, and we evaluate all applications based solely on merit, skills, qualifications, and relevant experience. All personal data is handled with strict confidentiality and used exclusively for legitimate recruitment purposes in accordance with applicable privacy and ethical standards. Show more

At Valley Water, we are committed to building a diverse beverage portfolio rooted in quality, Elano Water is a premium natural bottled water brand sourced from deep wells in Wadi El Natron, offering pure hydration with 0 additives and 0 chemicals through world-class production standards. SPARX is our bold-flavored soda brand, created to bring vibrant taste experiences to a new generation of consumers. As we continue to grow, we are looking for passionate, driven, and talented individuals to join our team and help shape the future of the beverage industry in Egypt. Valley Water is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Job Duties: Ensure optimal equipment performance and maintenance efficiency. Lead and support the maintenance team both technically and administratively. Monitor, analyze, and report maintenance KPIs. Troubleshoot electrical and automation systems, including PLCs, drives, and instrumentation devices. Manage utility consumption (electricity, water, and gas) and maintenance costs. Coordinate with the Purchasing Department on technical requirements and spare parts. Ensure proper work order execution, spare parts control, and workshop equipment readiness. Support project planning and implementation activities. Enhance preventive maintenance programs and equipment performance. Deliver technical coaching and training to maintenance team members. Drive TPM implementation and ensure compliance with maintenance best practices. Maintain accurate equipment asset records and documentation. Job Qualifications: Engineering Graduate (Electrical Major) 2-4 years of Experience in the same field Leadership skills. Communication & Presentation skills. Problems Analysis and solving Please send your updated CV to Careers@valleywaterco.com Or through WhatsApp on 01284140137 Show more