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ai transformation manager Jobs in Cairo Egypt

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ai& data engineer (hybrid) Jobs in Cairo Egypt

ai& data engineer (hybrid)

ai data engineer hybrid

TechLabs London

<div>
 
 About TechLabs London:
 
 
 
 At TechLabs London, we build cutting-edge digital products that power smarter, more connected organizations. Our flagship solution is transforming housing management with modern cloud technology, intuitive design, and seamless integration. We are now embedding
 
 AI and intelligent automation
 
 across our platforms &mdash; and this role is at the center of that mission. We&rsquo;re looking for a driven and creative
 
 AI Engineer
 
 to lead this charge with us, to deliver production-ready AI features, predictive analytics, and computer vision tools that unlock real business value.
 
 
 
 Job Purpose:
 
 As an AI Engineer you&rsquo;ll be responsible for the development, deployment, and optimisation of advanced AI and ML capabilities within TechLabs London. You will collaborate with cross-functional teams to embed intelligent solutions into our existing product suite and shape the next generation of AI-powered features across our platforms. This role is perfect for someone who&rsquo;s passionate about building practical AI solutions and wants to see their work improve lives, save time, and power decisions. You&rsquo;ll help the business translate complex challenges into intelligent, scalable solutions.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design and build end-to-end AI pipelines across use cases such as predictive modelling, NLP, computer vision, and conversational AI.
 </li>
 <li>
 Design, develop and deploy conversational AI solutions using LLMs and agentic frameworks (e.g. LangChain, LangGraph), including RAG pipelines, intent classification, entity extraction, and multi-turn dialogue management.
 </li>
 <li>
 Apply computer vision to extract intelligence from images and videos for detection, classification, and automation.
 </li>
 <li>
 Develop time-series models that analyze behavior and generate predictive.
 </li>
 <li>
 Experiment with foundational models and fine-tune them for specific tasks relevant to our domain.
 </li>
 <li>
 Integrate models into production by working with our developers to deploy solutions into our products and beyond.
 </li>
 <li>
 Architect and build scalable, secure, and reusable ML APIs, workflows, and pipelines using modern MLOps practices and containerisation (Docker).
 </li>
 <li>
 Translate business problems into data-driven solutions, working closely with product, customer success, and engineering teams.
 </li>
 <li>
 Champion AI-first thinking across the company, supporting POCs, internal tooling, and customer-facing features.
 </li>
 <li>
 Collaborate with internal developers, product managers, domain experts, and external stakeholders to ensure solutions are feasible, maintainable, and impactful, as well as to define data strategies and model objectives.
 </li>
 <li>
 Conduct rigorous A/B testing and model evaluation.
 </li>
 <li>
 Support the integration of models into production systems using APIs and microservices.
 </li>
 <li>
 Stay abreast of advancements in AI/ML research and apply relevant breakthroughs to ongoing projects.
 
 
 
 </li>
 </ul>
 
 Skills and Experience:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in information technology, Software Engineering, Computer Science, or related field.
 </li>
 <li>
 Proven experience building and deploying LLM-powered applications, including RAG pipelines and conversational agents.
 </li>
 <li>
 Hands-on experience with LangChain or similar agentic frameworks (LangGraph, AutoGen, or equivalent).
 </li>
 <li>
 Strong proficiency in Python and relevant ML libraries (e.g. pandas, scikit-learn, PyTorch, spaCy, Hugging Face, OpenCV etc.)
 </li>
 <li>
 Experience with cloud platforms &mdash; Azure is our primary platform (preferred); AWS or GCP also considered.
 </li>
 <li>
 Containerization and orchestration: Docker, Docker Compose.
 </li>
 <li>
 Solid understanding of data modelling, feature engineering, and data warehousing concepts.
 </li>
 <li>
 Strong knowledge of SQL and experience with relational and/or vector databases (e.g. pgvector, Pinecone, Weaviate).
 </li>
 <li>
 Proficiency in version control, CI/CD, and model deployment practices.
 </li>
 <li>
 Experience integrating AI models into web or mobile applications is highly valued.
 </li>
 <li>
 Experience with MLOps tools like MLflow, Airflow, DVC.
 </li>
 <li>
 Familiarity with MCP Server (Model Context Protocol) for building tool-augmented AI agents is a plus.
 
 
 
 </li>
 </ul>
 
 Mindset &amp; Soft Skills:
 
 
 
 <ul>
 <li>
 Strong problem-solving and analytical thinking &mdash; able to translate messy real-world data into measurable solutions.
 </li>
 <li>
 Pragmatic and delivery-oriented &mdash; capable of balancing technical innovation with business impact.
 </li>
 <li>
 Communicative and collaborative &mdash; comfortable working across teams and disciplines.
 </li>
 <li>
 Self-driven &mdash; able to manage time, priorities, and project ownership in a fast-moving team.
 </li>
 <li>
 Knowledge of data governance, bias mitigation, and explainable AI techniques.
 </li>
 </ul>
</div>

AI& Data Engineer (Hybrid)

<div>
 
 
 Job Summary
 
 
 
 
 
 
 The AI Transformation Manager is responsible for leading the organization&rsquo;s transition into an AI-first enterprise. This role involves identifying high-value AI use cases, managing the implementation of agentic workflows and LLM-based systems, and driving the cultural change necessary for employees to work alongside AI. You will not only manage technology but also lead the "Workforce Transformation," ensuring that AI investments result in measurable ROI and enhanced human potential.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 1. Strategic Planning &amp; Roadmap Development
 
 
 <ul>
 <li>
 Develop and maintain the Enterprise AI Roadmap, prioritizing use cases based on feasibility, cost, and business impact.
 </li>
 <li>
 Define KPIs for AI success (e.g., time-to-market reduction, cost-per-task optimization, or revenue uplift).
 </li>
 <li>
 Partner with senior leadership to align AI initiatives with the company&rsquo;s 3&ndash;5 year growth goals.
 </li>
 </ul>
 
 
 2. AI Implementation &amp; Orchestration
 
 
 <ul>
 <li>
 Lead the deployment of
 
 Agentic AI
 
 (autonomous agents) and
 
 RAG-based
 
 (Retrieval-Augmented Generation) knowledge systems across departments like HR, Finance, and Customer Operations.
 </li>
 <li>
 Oversee the "Build vs. Buy" evaluation for AI tools, ensuring interoperability with existing tech stacks (e.g., Azure AI, Microsoft 365 Copilot, or proprietary LLMs).
 </li>
 <li>
 Manage cross-functional "Pods" consisting of data scientists, engineers, and domain experts to deliver pilot projects within 60&ndash;90 day cycles.
 </li>
 </ul>
 
 
 3. AI Governance &amp; Ethics
 
 
 <ul>
 <li>
 Establish frameworks for
 
 Responsible AI
 
 , ensuring transparency, bias mitigation, and data privacy (GDPR/CCPA/AI Act compliance).
 </li>
 <li>
 Monitor AI performance for "model drift" and accuracy, ensuring the system remains reliable and defensible.
 </li>
 </ul>
 
 
 4. Change Management &amp; Enablement
 
 
 <ul>
 <li>
 Design and lead "AI Literacy" programs to upskill the workforce, moving beyond basic prompting to advanced AI-human collaboration.
 </li>
 <li>
 Manage organizational resistance by communicating a clear value narrative and identifying "AI Champions" within business units.
 </li>
 <li>
 Redesign workflows to capitalize on AI-human "Centaur" models, where AI handles routine processing and humans focus on high-stakes strategy and empathy.
 </li>
 </ul>
 
 
 
 
 
 Job Requirements
 
 
 
 
 
 
 
 Technical Skills &amp; Experience
 
 
 
 
 
 <ul>
 <li>
 
 Education:
 
 Bachelor&rsquo;s degree in Business, Computer Science, or Data Science. An MBA or post-graduate degree in Digital Transformation is highly preferred.
 </li>
 <li>
 
 Experience:
 
 6+ years of experience in Digital Transformation, Product Management, or Management Consulting, with at least 2&ndash;3 years focused specifically on AI/ML projects.
 </li>
 <li>
 
 AI Fluency:
 
 Deep understanding of Generative AI capabilities, LLM lifecycles, and
 
 Agentic Workflows
 
 . You don't need to be a coder, but you must be able to "speak engineer."
 </li>
 <li>
 
 Data Literacy:
 
 Proficiency in data strategy&mdash;understanding data pipelines, quality, and how "grounding" affects AI accuracy.
 </li>
 </ul>
 
 
 
 
 
 Tools &amp; Certifications (Preferred)
 
 
 
 
 
 <ul>
 <li>
 
 Certifications:
 
 Microsoft Certified: AI Transformation Leader, PMP, or similar.
 </li>
 <li>
 
 Tooling Knowledge:
 
 Familiarity with AI orchestration platforms (LangChain, Zapier Central), MLOps basics, and BI tools (Tableau, PowerBI).
 </li>
 </ul>
 
 
</div>

AI Transformation Manager

Magnet

<div>
 
 
 Employer Overview
 
 
 
 A global technology company specializing in advanced control room solutions that support mission-critical operations. Its unified platform, powered by AI and IoT, connects digital and physical systems to provide real-time operational intelligence, enabling organizations to move from reactive to proactive decision-making.
 
 
 
 
 
 
 Job Summary
 
 
 
 We are looking for a Junior Backend Engineer to support the development of backend services and APIs. This role provides an opportunity to grow technical skills while working alongside experienced engineers on scalable software platforms.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design and implement scalable, high-availability server-side applications and APIs.
 </li>
 <li>
 Optimize database schemas and perform query tuning for maximum performance.
 </li>
 <li>
 Implement secure data protection and user authentication protocols.
 </li>
 <li>
 Integrate third-party services and maintain internal system interfaces.
 </li>
 <li>
 Write clean, modular, and testable code with high unit test coverage.
 </li>
 <li>
 Collaborate with Frontend engineers to deliver seamless user experiences.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, Software Engineering, or related field.
 </li>
 <li>
 0&ndash;2 years of backend development experience.
 </li>
 <li>
 Problem solving
 </li>
 <li>
 Collaboration and teamwork
 </li>
 <li>
 Node.js, Python, or Go
 </li>
 <li>
 SQL / NoSQL database design
 </li>
 <li>
 Backend development tools and software engineering platforms.
 </li>
 <li>
 Ability to develop backend features under supervision.
 </li>
 <li>
 Ability to write clean and maintainable code.
 </li>
 <li>
 Ability to collaborate within engineering teams.
 </li>
 <li>
 Fluent in
 
 English
 
 (written and spoken).
 </li>
 </ul>
</div>

Back End Developer

Coca-Cola HBC

<div>
 
 
 Department
 
 : Data, Insights &amp; AI Products &amp; Platforms
 
 
 
 Location
 
 : Egypt (Cairo).
 
 
 
 
 
 As an Artificial Intelligence (AI) Developer will join our growing DTPS Visual Analytics team. He/She will be responsible for designing and developing AI applications and systems that drive innovation and improve our existing products and services. He/She will focus on developing the tools, systems, and processes that enable artificial intelligence to be applied in the real world. Any application where machines mimic human functions, such as solving problems and learning, can be considered artificial intelligence. This role includes AI development in Power BI to deliver intelligent, data-driven visual analytics.
 
 
 He/She will collaborate with cross-functional teams, including data scientists, data engineers, and product managers, to bring AI-powered solutions to life.
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 
 &bull; Part of a team responsible for charting the AI strategy and defining the problems to be solved with AI.
 
 
 &bull; Integration of advanced AI features into Power BI reports.
 
 
 &bull; Use of AI visuals like decomposition trees, key influencers, and Q&amp;A.
 
 
 &bull; Collaboration with business users to deliver intelligent, AI-powered dashboards.
 
 
 &bull; Embedding machine learning models into Power BI using Azure ML.
 
 
 &bull; Enabling predictive analytics and NLP (Natural Language Processing) within reports.
 
 
 &bull; Participate in code and design reviews to maintain a high-quality codebase.
 
 
 &bull; Collaborate across teams to help with AI adoption and best practices.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor&rsquo;s or master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.
 
 
 &bull; 3+ years of experience in AI, machine learning, or applied analytics, ideally with a focus on business intelligence tools.
 
 
 &bull; Proven experience developing AI-powered solutions in Power BI, including use of AI visuals (e.g., key influencers, decomposition trees, Q&amp;A), and integrating ML models via Azure ML.
 
 
 &bull; Strong understanding of Power BI architecture, DAX, Power Query, and data modeling best practices.
 
 
 &bull; Familiarity with Azure AI Services (e.g., OpenAI, AI Search, AI Language, AI Document Intelligence) and their integration into Power BI.
 
 
 &bull; Experience with Python and basic ML frameworks (e.g., scikit-learn) and model optimization in Power BI.
 
 
 &bull; Understanding of natural language processing (NLP) and its application in business reporting is a plus.
 
 
 &bull; Hands-on experience with Azure Machine Learning, Databricks, or Synapse Analytics is beneficial &ndash; focus on data preparation pipelines that feed into Power BI.
 
 
 &bull; Comfortable working in Agile environments using tools like Azure DevOps.
 
 
 &bull; Azure certifications (e.g., Azure Data Scientist Associate, Power BI Data Analyst Associate) are a plus.
 
 
 &bull; Strong analytical thinking, communication, and stakeholder collaboration skills.
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
</div>

AI Developer

Nexus Analytica

About Nexus AnalyticaNexus Analytica is an international energy and digitalization consultancy specializing in renewable energy, power systems, and smart grid solutions. The company supports governments, utilities, and private sector clients across Europe, the Middle East, and Africa in developing and implementing large-scale energy infrastructure projects, including solar PV, wind, battery energy storage systems (BESS), and digital energy platforms such as NexusGRID. Position OverviewWe are seeking an experienced Senior Solar PV Design Engineer to lead the technical design and engineering of utility-scale solar PV and hybrid (PV + BESS) projects. The role combines advanced engineering design, technical leadership, and project coordination, supporting projects from early-stage feasibility through detailed design, procurement, and commissioning. The ideal candidate will have strong expertise in utility-scale solar PV systems, including fixed-tilt and tracker-based designs, and experience working with utilities, transmission system operators, or large industrial clients. Key Responsibilities 1. Project Design &amp; Engineering<ul><li>Lead the design and optimization of utility-scale solar PV systems, including fixed-tilt and single-axis tracker configurations</li><li>Develop plant layouts, electrical designs (DC/AC), and grid integration concepts</li><li>Perform energy yield assessments and performance modeling using tools such as PVsyst, PVcase, Helioscope, and AutoCAD</li><li>Conduct system sizing, cable routing, inverter selection, and loss analysis</li><li>Integrate BESS into PV plant designs, including sizing, dispatch logic, and hybrid control concepts</li><li>Apply value engineering principles to optimize CAPEX, OPEX, and system performance  </li></ul>2. Technical Project Management<ul><li>Support and oversee the full project lifecycle: feasibility studies, conceptual design, tendering, detailed engineering, and commissioning</li><li>Coordinate with internal teams (digital, grid, SCADA, regulatory) and external stakeholders (developers, EPCs, utilities)</li><li>Review and align technical specifications, employer’s requirements, and tender documents</li><li>Contribute to technical due diligence and bankability assessments for investors and lenders  </li></ul>3. Grid Integration &amp; System Studies<ul><li>Support grid connection studies, including load flow, short-circuit, and dynamic performance considerations</li><li>Ensure compliance with grid codes, interconnection requirements, and utility standards (e.g., LVRT/HVRT, reactive power, frequency response)</li><li>Coordinate with grid and power system experts for hybrid system integration (PV + BESS)  </li></ul>4. Technical Leadership<ul><li>Act as a technical reference point for solar PV design within Nexus Analytica</li><li>Mentor and guide junior engineers and analysts</li><li>Contribute to the development of internal design standards, tools, and methodologies</li><li>Support innovation in digitalization, optimization, and performance monitoring  </li></ul>5. Quality Assurance &amp; Compliance<ul><li>Review and approve design documents, drawings, simulations, and engineering reports</li><li>Ensure compliance with international standards (IEC, IEEE) and project-specific technical requirements</li><li>Support site assessments, commissioning, and performance validation  </li></ul>Qualifications &amp; Experience<ul><li>Bachelor’s or Master’s degree in Electrical Engineering, Renewable Energy, or related field</li><li>Minimum 5–8 years of experience in solar PV engineering, with a focus on utility-scale projects</li><li>Proven experience in designing large-scale PV plants (ground-mounted and tracker systems)</li><li>Strong proficiency in PVsyst, AutoCAD, PVcase, Helioscope, or similar tools</li><li>Solid understanding of: <ul><li>Electrical design (DC/AC systems, protection, grounding)</li><li>Grid integration and interconnection requirements</li><li>Solar resource assessment and performance modeling</li></ul></li><li>Experience with BESS and hybrid PV systems is highly desirable</li><li>Familiarity with SCADA systems, plant monitoring, and digital energy platforms is a plus</li><li>Strong project management and coordination skills</li><li>Excellent communication skills in English  </li></ul>What We Offer<ul><li>Opportunity to work on high-impact international energy projects with governments, utilities, and development institutions</li><li>Exposure to cutting-edge projects in solar PV, BESS, and digital energy systems</li><li>A dynamic, multidisciplinary environment combining engineering, digitalization, and policy</li><li>Career growth into technical leadership and project management roles</li></ul>

Senior Solar PV Design Engineer

<div>
 
 Department: Data Insights &amp; Artificial Intelligence
 
 
 Location: Cairo, Egypt
 
 
 
 Purpose of the Role
 
 
 
 As an AI Developer, you will be responsible for developing and implementing AI-driven solutions in collaboration with business and technical stakeholders. Your focus will be on building innovative AI use cases and prototypes &ndash; including cutting-edge Generative AI solutions &ndash; that unlock new value streams for the company. You will be part of a team driving AI initiatives across our 29+ markets, playing a key role in experimenting with emerging technologies and scaling successful proofs-of-concept into production solutions. We follow a SAFe Agile model, so you&rsquo;ll work within a product-centric team to quickly iterate on ideas, using Azure DevOps to manage your work and ensure continuous integration of new AI capabilities.
 
 
 In this role, you will contribute to analytics and AI initiatives across multiple functional areas of the business, including Route‑to‑Market, Supply Chain &amp; Planning, People &amp; Culture, Revenue Growth Management &amp; Finance, and Digital Commerce. These areas span a diverse portfolio of use cases, from customer and market segmentation, pricing and promotion optimization, and digital personalization, to forecasting, optimization, automation, and workforce analytics. Working with rich, large‑scale datasets, you will help translate complex business and operational data into scalable, production‑ready analytics and AI solutions that support decision‑making, improve execution, and drive measurable business impact across markets. The exact functional focus will depend on business priorities, product roadmaps, and team needs, ensuring exposure to a broad range of high‑impact problems rather than a single, siloed domain
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Dive into large and complex datasets to identify patterns and opportunities.
 </li>
 <li>
 Develop reliable ETL pipelines &amp; contribute to the architecture to support the application of generative AI models
 </li>
 <li>
 Apply statistical and machine learning techniques to solve business problems, alongside generative AI models.
 </li>
 <li>
 Spearhead the development of pilot solutions and support the lifecycle of the product.
 </li>
 <li>
 Ability to clearly articulate findings and insights to technical &amp; non-technical audiences
 </li>
 <li>
 Collaborate extensively with business, technical and cross-functional stakeholders to deeply understand challenges and identify opportunities.
 </li>
 <li>
 Work with Agile/SAFe delivery models and respective ways of working.
 </li>
 <li>
 Stay up to date with AI/ML advancements and share knowledge with the team.
 </li>
 </ul>
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative or related field.
 </li>
 <li>
 2 to 4 years of hands-on experience in data science or AI development
 </li>
 <li>
 Demonstrate curiosity and eagerness to communicate across on a day to day basis. Participation in innovation days &amp; hackathons is considered a plus.
 </li>
 <li>
 Problem solving skills, strong analytical mindset and attention to detail
 </li>
 <li>
 Proficiency in Python, Pyspark and SQL.
 </li>
 <li>
 Strong understanding of machine learning and generative AI techniques.
 </li>
 <li>
 Experience with production-ready AI deployments
 </li>
 <li>
 Experience working with big-data-tools. Azure Databricks is a plus.
 </li>
 <li>
 Experience working with big data &amp; AI tools (MS Foundry, Fabric IQ, Copilot Studio, OpenAI, Power Automate). Azure Databricks is a strong plus.
 </li>
 <li>
 Experience in Consumer Product Goods domain is considered a plus.
 </li>
 </ul>
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM
 
 
 
 :We are a family of 33 thousand engaged people. Each and every one of us is the secret ingredient of Coca-Cola HBC &ndash; one of the world&rsquo;s largest bottlers and partner of The Coca-Cola Company. Our everyday mission is to delight over 715 million consumers by offering a choice of over 100 iconic global and favorite local brands in the moments that matter, 24 hours a day, 7 days a week. We are a truly empowered and talented team that drives superior results by winning and learning every day in 29 countries, across 3 continents. Our success comes from us working together as one to make a positive difference for the local communities we serve
 
 
 
 .AT COCA-COLA HBC, DIVERSITY HELPS US THRIV
 
 
 
 EIncluding and celebrating different people and opinions is embedded in our growth story. We are committed to fostering diverse teams that reflect the communities we serve, and to creating an inclusive environment where everyone&rsquo;s unique perspectives are valued and heard. By constantly building a diverse and inclusive workplace, we enrich our decision-making and provide ever more innovative solutions and shared value
 
 
 
 
 .
</div>

York Towers

<div>
 Dwelleo is a Saudi AI-powered PropTech platform redefining how real estate decisions are made. From buying and renting to selling and investing, we combine verified data, intelligent insights, and complete transparency &mdash; empowering users to understand the market clearly and make confident decisions at every step.
 
 
 
 About Dwelleo
 
 
 
 Dwelleo is an AI-powered real estate marketplace transforming how people search, buy, sell, and rent properties across Saudi Arabia.
 
 
 The platform combines machine learning, intelligent discovery tools, and data-driven insights to connect buyers, renters, brokers, and developers through a seamless, scalable digital experience.
 
 
 At its core, Dwelleo embeds AI directly into the product &mdash; powering pricing, recommendations, search, and decision-making across the entire property journey.
 
 
 
 About The Role
 
 
 
 You'll work across the full AI surface area of a live product. Your work will span classical ML (pricing, forecasting) and modern LLM systems (agents, RAG, voice), with real engineering expectations around reliability, observability, and production quality. Research here is always in service of shipping &mdash; experimentation exists to accelerate delivery, not replace it.
 
 
 You'll work within a dual-track Agile structure: a
 
 Research sprint
 
 for experimentation and model development, and an
 
 Engineering sprint
 
 for deployment, integration, and reliability work. You'll contribute to both.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Ship predictive models for property price estimation, rent forecasting, and ROI analysis &mdash; from feature engineering through production deployment on AWS ECS with canary release practices
 </li>
 <li>
 Build and maintain LLM-powered multi-agent systems, including deterministic state machines, scoring engines, guardrail layers, and escalation logic that runs reliably at scale
 </li>
 <li>
 Develop and improve RAG pipelines with vector-based retrieval (FAISS, pgvector) for property search and AI-assisted advisory features
 </li>
 <li>
 Expose AI capabilities as FastAPI microservices with autoscaling, versioning, and production-grade reliability
 </li>
 <li>
 Integrate and improve STT/TTS speech pipelines connected to telephony infrastructure &mdash; Arabic dialect support is a meaningful plus
 </li>
 <li>
 Own observability across the stack: drift detection, latency monitoring, alerting, and model performance dashboards
 </li>
 <li>
 Collaborate closely with product and engineering across both sprint tracks, translating research outcomes into shippable systems
 
 
 </li>
 </ul>
 
 Required
 
 
 
 
 What we're looking for
 
 
 
 <ul>
 <li>
 3&ndash;6 years of hands-on experience in ML engineering, AI engineering, or a closely related role &mdash; with at least some of that time shipping to production
 </li>
 <li>
 Strong Python skills with a track record of production deployment (not just notebooks)
 </li>
 <li>
 Solid ML fundamentals: supervised learning, gradient boosting (XGBoost / LightGBM), feature engineering, model evaluation, and retraining workflows
 </li>
 <li>
 Hands-on experience with LLMs (OpenAI, Anthropic, or open-source models) and practical RAG pipeline implementation
 </li>
 <li>
 Experience building and deploying ML microservices using FastAPI
 </li>
 <li>
 Working knowledge of CI/CD for ML workloads &mdash; you've set up or maintained pipelines using tools like GitHub Actions, MLflow, or equivalent
 </li>
 <li>
 Comfortable working in English; Arabic is not required but welcome
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 STT/TTS integration or voice pipeline engineering &mdash; Arabic dialect experience is a strong plus
 </li>
 <li>
 AWS hands-on experience: ECS, S3, RDS
 </li>
 <li>
 Familiarity with geospatial data and similarity search (Ball Tree, FAISS, pgvector)
 </li>
 <li>
 Background in lead scoring, content moderation, or recommendation systems
 </li>
 <li>
 Experience with MLflow, experiment tracking, or model registry workflows
 </li>
 <li>
 Real estate or PropTech domain exposure
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Location: Fully remote
 </li>
 <li>
 Team: You'll report directly to the AI Team Lead
 </li>
 <li>
 Direct ownership of production AI systems with measurable user and business impact
 </li>
 <li>
 A technically ambitious environment working at the intersection of AI and one of the region's most active real estate markets
 </li>
 </ul>
</div>

AI Engineer

Explore 41+ Ai data engineer hybrid in Cairo Egypt this April. Find roles across top companies and apply now to boost your career.

41 ai data engineer hybrid jobs In Cairo Egypt

AI& Data Engineer (Hybrid)

AI Transformation Manager

Back End Developer

AI Developer

Senior Solar PV Design Engineer

AI Developer

AI Engineer