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ai engineer

Lucidya | لوسيديا

<div>
 
 About Lucidya
 
 
 
 Lucidya is a fast-growing SaaS company building AI-powered customer experience solutions for enterprises across the MENA region. Known for our deep expertise in Arabic-first AI, we help organizations understand, serve, and engage their customers at scale.
 
 
 We are now launching a new AI Agents business unit, focused on building AI Agent platforms and solutions to solve critical pain-points in Customer Experience - securely, responsibly, and at scale.
 
 
 
 Role Overview
 
 
 
 As an AI Engineer, you will be responsible for designing, building, and deploying intelligent AI agents that solve real business problems. You will work at the intersection of machine learning, deep learning, and production AI, turning advanced models into reliable, scalable systems used by enterprise customers.
 
 
 This role goes beyond experimentation - you will help take AI from concept to production, ensuring performance, ethical compliance, and real-world impact.
 
 
 You will have the opportunity to showcase your ability to build from 0 to a real solution that drives value
 
 
 What You'll Do
 
 
 
 AI &amp; Agent Development
 
 
 
 <ul>
 <li>
 Design, develop, and optimize AI Agents
 </li>
 <li>
 Build evaluation for AI Agent performance, ensuring that AI Agents are working as expected
 </li>
 <li>
 Research and optimise the way we do things
 </li>
 <li>
 Contribute to the development of the Lucidya AI Agent platform
 
 
 </li>
 </ul>
 
 Production &amp; Scalability
 
 
 
 <ul>
 <li>
 Deploy AI models into production environments with a focus on scalability, performance, and reliability
 </li>
 <li>
 Collaborate on MLOps practices to support continuous integration, monitoring, and improvement
 </li>
 <li>
 Ensure AI systems integrate smoothly with existing platforms and workflows
 
 
 </li>
 </ul>
 
 Cross-Functional Collaboration
 
 
 
 <ul>
 <li>
 Work closely with software engineers, product managers, and domain experts
 </li>
 <li>
 Translate business problems into effective AI solutions with measurable outcomes
 </li>
 <li>
 Contribute to solution design for enterprise solutions and long-term deployments
 
 
 </li>
 </ul>
 
 Governance &amp; Quality
 
 
 
 <ul>
 <li>
 Ensure AI solutions comply with ethical standards, data privacy requirements, and legal regulations
 </li>
 <li>
 Document models, algorithms, workflows, and decisions clearly for internal and external stakeholders
 </li>
 <li>
 Stay up to date with the latest AI research, tools, and best practices; and apply them where valuable
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 What we're looking for
 
 
 
 
 Technical Skills
 
 
 
 <ul>
 <li>
 3+ years of hands-on experience building and deploying AI-driven systems, with a proven track-record of achieving business value from AI agents - not just using self-serve frameworks like n8n
 </li>
 <li>
 Strong programming skills in Python (Java is a plus)
 </li>
 <li>
 Hands-on experience with machine learning and deep learning techniques
 </li>
 <li>
 Practical experience using TensorFlow, OpenAISDK or similar frameworks
 </li>
 <li>
 Experience deploying AI models into production or production-like environments
 </li>
 <li>
 Strong understanding of AI evals and guardrails
 
 
 </li>
 </ul>
 
 Problem-Solving &amp; Mindset
 
 
 
 <ul>
 <li>
 Ability to analyze complex problems and design innovative AI-driven solutions
 </li>
 <li>
 Strong systems thinking, understanding how models behave in real-world environments
 </li>
 <li>
 Curiosity and commitment to continuous learning in a fast-evolving AI landscape
 </li>
 <li>
 Proactivity is key - not just a task doer
 
 
 </li>
 </ul>
 
 Collaboration &amp; Communication
 
 
 
 <ul>
 <li>
 Comfortable working in cross-functional, product-driven teams
 </li>
 <li>
 Able to clearly document and explain technical concepts to diverse stakeholders
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with NLP, conversational AI, or agent-based systems
 </li>
 <li>
 Exposure to enterprise AI deployments or SaaS platforms
 </li>
 <li>
 Familiarity with MLOps, monitoring, and model lifecycle management
 </li>
 <li>
 Experience working with multilingual or Arabic language data
 
 
 </li>
 </ul>
 
 Why Join Lucidya's AI Agents Team?
 
 
 
 <ul>
 <li>
 Work on real, enterprise-grade AI agents, not just experiments
 </li>
 <li>
 Shape a new business unit from the ground up
 </li>
 <li>
 Solve meaningful CX and operational challenges across the MENA region
 </li>
 <li>
 Collaborate with a highly skilled AI, data, and product team
 </li>
 <li>
 Build AI that is responsible, scalable, and impactful
 </li>
 </ul>
</div>

AI Engineer (mid-level/senior)

<div>
 
 About VML
 
 
 
 VML is a leading creative company that combines brand experience, customer experience, and commerce, creating connected brands to drive growth. VML is celebrated for its innovative and human first, award-winning work for blue chip client partners including AstraZeneca, Colgate-Palmolive, Dell, Ford, Microsoft, Nestl&eacute;, The Coca-Cola Company, and Wendy's. The agency is recognized by the Forrester Wave&trade; Reports, as a Leader among Marketing Creative and Content Service Providers, Commerce Services, Global Digital Experience Services, Global Marketing Services and, most recently, Marketing Measurement &amp; Optimization. In addition, VML&rsquo;s specialist health network, VML Health, is one of the world&rsquo;s largest and most awarded health agencies. VML&rsquo;s global network is powered by 26,000 talented people across 55+ markets, with principal offices in Kansas City, New York, Detroit, London, S&atilde;o Paulo, Shanghai, Singapore, and Sydney.
 
 
 VML is a WPP agency (NYSE: WPP). For more information, please visit  www.vml.com, and follow along on Instagram, LinkedIn, and X.
 
 
 
 Who we&rsquo;re looking for:
 
 We are seeking an experienced AI/ML Engineer with a minimum of 5 years of expertise to join our innovative technology team. In this pivotal role, you will be responsible for designing, training, and optimizing AI models, with a strong focus on Natural Language Processing (NLP) for real-time content summarization, recommendation, and conversational UIs. You will implement cutting-edge techniques like Retrieval-Augmented Generation (RAG) and fine-tune transformer-based models, collaborating closely with backend and data engineering teams to ensure seamless deployment and maintenance of brand tone and content accuracy in all AI outputs.
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 <ul>
 <li>
 Design, train, and optimize AI models specifically for real-time content summarization and recommendation.
 </li>
 <li>
 Implement advanced Natural Language Processing (NLP) techniques to enhance conversational UI and predictive interactions.
 </li>
 <li>
 Apply Retrieval-Augmented Generation (RAG) for intelligent response generation from dynamic content sources.
 </li>
 <li>
 Fine-tune transformer-based models (e.g., BERT, T5) using domain-specific datasets to achieve optimal performance.
 </li>
 <li>
 Collaborate closely with backend and data engineering teams to streamline model deployment within a production-grade environment.
 </li>
 <li>
 Ensure that brand tone and content accuracy are meticulously maintained throughout all AI-generated outputs.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
 </li>
 <li>
 5&ndash;7 years of progressive experience in AI/ML engineering, with a strong and proven focus on Natural Language Processing (NLP).
 </li>
 <li>
 Strong practical experience with leading Machine Learning frameworks such as TensorFlow, PyTorch, and Hugging Face.
 </li>
 <li>
 Experience with LangChain and LangGraph.
 </li>
 <li>
 Experience with MLOps pipelines and platforms like AWS SageMaker, Azure AI Search, or similar.
 </li>
 <li>
 Solid understanding of Large Language Models (LLMs), embeddings, and semantic search technologies.
 </li>
 <li>
 Expert proficiency in Python and robust data handling libraries such as Pandas and NumPy.
 </li>
 <li>
 Familiarity with deploying AI models via microservices or APIs.
 </li>
 <li>
 Preferred Qualifications:
 </li>
 <li>
 Understanding of branding, tone, and the user experience (UX) implications in AI-generated content.
 </li>
 <li>
 Experience working with headless CMS (Content Management Systems) and structured content datasets.
 </li>
 <li>
 Knowledge of ethical AI principles and prompt engineering best practices.
 
 
 </li>
 </ul>
 
 Additional Competencies
 
 
 
 <ul>
 <li>
 AI/ML Engineering
 </li>
 <li>
 Natural Language Processing (NLP)
 </li>
 <li>
 Large Language Models (LLMs)
 </li>
 <li>
 MLOps &amp; Deployment
 </li>
 <li>
 Python &amp; Data Science
 </li>
 <li>
 Transformer Models
 </li>
 <li>
 Content Summarization &amp; Recommendation
 </li>
 <li>
 Brand &amp; Content Integrity
 
 
 </li>
 </ul>
 We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we&rsquo;ve adopted a hybrid approach, with teams in the office an average of four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
 
 
 WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
 
 
 When you click "Submit Application", this will send any information you add below to VML. Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy. California residents should read our California Recruitment Privacy Notice. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.
</div>

AI/ML Engineer

Siemens

<div>
 Siemens Digital Industries Software is a global leader in Electronic Design Automation (EDA) software, hardware, and design solutions. We partner with the world&rsquo;s leading producers of semiconductor microelectronic circuits and systems, enabling them to design and produce cutting-edge electronic products faster and more efficiently.
 
 
 We&rsquo;re excited to share that the
 
 Siemens EDA Central AI QA team
 
 is growing! This team develops core AI technologies that power the entire Siemens EDA product portfolio.
 
 
 We are hiring
 
 4 talented AI QA Engineers
 
 to join our EDA AI QA team in
 
 Cairo, Egypt
 
 . In this role, you&rsquo;ll be at the forefront of testing cutting-edge AI solutions for electronic design automation applications &mdash; including GenAI chatbots and more. You&rsquo;ll also collaborate closely with cross-functional teams across Siemens to help integrate these AI capabilities into EDA products.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, and execute comprehensive test plans and cases to validate AI application functionality.
 </li>
 <li>
 Create innovative test scenarios that reflect real customer use cases, identifying issues and recommending improvements.
 </li>
 <li>
 Perform both manual and automated testing of conversational flows, APIs, integrations, and overall system performance.
 </li>
 <li>
 Identify, analyze, troubleshoot, and clearly report issues.
 </li>
 <li>
 Stay current with industry trends and best practices in AI and conversational platform testing.
 
 
 </li>
 </ul>
 Qualifications:
 
 
 <ul>
 <li>
 B.Sc./M.Sc. in Software or Electronics Engineering with 0&ndash;3 years of experience.
 </li>
 <li>
 Good understanding of AI, ML, and LLM basics.
 </li>
 <li>
 Familiar with API testing.
 </li>
 <li>
 Comfortable using scripting languages like Python, JavaScript, or Java.
 </li>
 <li>
 Experience with tools such as Selenium or Postman is a plus.
 </li>
 <li>
 Any exposure to NLP (intent recognition, entity extraction, conversational flows) is a plus!
 </li>
 <li>
 Basic knowledge of QA methods and development tools (version control, issue tracking, test coverage).
 </li>
 <li>
 Strong problem-solving and attention to detail, able to work independently while communicating clearly with the team, and fluent in English (written and spoken).
 
 
 </li>
 </ul>
 We&rsquo;re Siemens. A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow!
 
 
 Siemens is an equal opportunities employer and do not discriminate unlawfully on any grounds. We are committed to providing access and equal opportunity.
</div>

AI QA Engineer

Yalent

<div>
 
 
 About InVitro Capital
 
 
 
 InVitro Capital is a U.S.-based venture studio and fund. We build and fund companies from idea to exit, focusing on technology-driven businesses that solve real-world problems. Our portfolio spans healthcare, home services, and sales technology.
 
 
 Our engineering philosophy is simple: small senior teams, extreme ownership, hands-on builders, and AI-native products.
 
 
 We operate with a builder culture where engineers have end-to-end responsibility for launching and scaling AI-powered products across the studio.
 
 
 
 Role Overview
 
 
 
 We are looking for an exceptionally strong Tech Lead (AI + Full Stack) who codes every day and leads through architecture, execution, and example. This role is designed for elite senior builders who thrive in zero-to-one environments, enjoy solving complex problems, and can ship production-grade systems quickly.
 
 
 You will:
 
 <ul>
 <li>
 Architect core systems
 </li>
 <li>
 Build them with your own hands
 </li>
 <li>
 Integrate AI tooling &amp; agents
 </li>
 <li>
 Mentor engineers through technical leadership
 </li>
 <li>
 Drive engineering excellence across multiple ventures
 </li>
 </ul>
 
 This is not a people-management role &mdash; it is a high-impact IC leadership role.
 
 
 
 
 What You'll Do
 
 
 
 
 Build &amp; Lead With Technical Depth (70-90% hands-on)
 
 
 <ul>
 <li>
 Architect, build, and ship backend and full-stack systems end to end.
 </li>
 <li>
 Lead engineers through code reviews, architecture reviews, and solid technical decision-making.
 </li>
 <li>
 Own engineering execution across multiple ventures.
 </li>
 </ul>
 
 
 Design Scalable, AI-Native Architectures
 
 
 <ul>
 <li>
 Build modular APIs, distributed systems, and cloud-native microservices (Azure).
 </li>
 <li>
 Integrate AI models, retrieval workflows, and multi-agent systems into production applications.
 </li>
 <li>
 Work with Python, OpenAI, LangChain, LlamaIndex, vector databases, and agent toolchains.
 </li>
 </ul>
 
 
 Engineer With Excellence
 
 
 <ul>
 <li>
 Write high-performance, production-grade code (C#/.NET as primary).
 </li>
 <li>
 Use Python for AI workflows, automation, and data integrations.
 </li>
 <li>
 Build systems optimized for reliability, performance, and observability.
 </li>
 </ul>
 
 
 Full-Stack Ownership
 
 
 <ul>
 <li>
 Collaborate with frontend engineers to deliver seamless end-to-end experiences.
 </li>
 <li>
 Design clean APIs, interfaces, and developer workflows.
 </li>
 </ul>
 
 
 DevOps + Cloud Execution
 
 
 <ul>
 <li>
 Manage CI/CD pipelines, IaC, and Kubernetes deployments on Azure.
 </li>
 <li>
 Ensure systems are scalable, fault-tolerant, secure, and well-instrumented.
 </li>
 </ul>
 
 
 Technical Leadership &amp; Mentorship
 
 
 <ul>
 <li>
 Mentor engineers and uplift technical standards across the stack.
 </li>
 <li>
 Provide architectural direction and guide complex technical initiatives.
 </li>
 <li>
 Contribute to hiring and shaping engineering culture.
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 
 
 Qualifications
 
 
 
 
 Required
 
 
 <ul>
 <li>
 12+ years of professional engineering experience, with a deep record of building production systems.
 </li>
 <li>
 Expert-level proficiency in C#/.NET.
 </li>
 <li>
 Strong experience designing and scaling cloud-native distributed systems (preferably Azure).
 </li>
 <li>
 Expertise in microservices, caching, API design, multithreading, and performance optimization.
 </li>
 <li>
 Real-world experience with AI toolchains, including:
 </li>
 <ul>
 <li>
 LLMs (OpenAI, Anthropic, etc.)
 </li>
 <li>
 Agents &amp; tools
 </li>
 <li>
 Retrieval pipelines &amp; vector databases
 </li>
 <li>
 LangChain / LlamaIndex or equivalent
 </li>
 </ul>
 <li>
 Strong SQL and NoSQL experience.
 </li>
 <li>
 Hands-on experience with Docker, Kubernetes, CI/CD.
 </li>
 <li>
 Ability to lead technical direction while being highly hands-on (IC-first).
 </li>
 <li>
 Experience working in fast-paced, high-ownership startup environments.
 </li>
 </ul>
 
 
 Huge Plus
 
 
 <ul>
 <li>
 Python for AI pipelines, data processing, and automation.
 </li>
 <li>
 Experience in regulated or high-compliance environments.
 </li>
 <li>
 Experience building 0&rarr;1 products, especially in multi-product or venture studio settings.
 </li>
 <li>
 Experience designing internal platforms or multi-tenant systems.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 
 
 What We Offer
 
 
 <ul>
 <li>
 Compensation: $4,000-$5,000 USD/month base + bonus
 </li>
 <li>
 Health insurance
 </li>
 <li>
 Social insurance
 </li>
 <li>
 Paid Time Off (PTO)
 </li>
 <li>
 High ownership and autonomy
 </li>
 <li>
 Opportunity to build multiple AI-powered products from scratch
 </li>
 <li>
 A culture optimized for speed, impact, and technical excellence
 
 </li>
 </ul>
 
 
 Schedule &amp; Work Setup
 
 
 <ul>
 <li>
 Cairo-based candidates preferred
 </li>
 <li>
 Hybrid: expected at the Cairo office at least once per week
 </li>
 <li>
 Monday-Friday, aligned with U.S. Pacific Time
 </li>
 <li>
 High-autonomy, high-velocity engineering environment
 </li>
 </ul>
</div>

Tech Lead (AI + Full Stack/ .Net) - Hands-On Builder

Valeo

<div>
 
 Our mission is to revolutionize existing and new Valeo products, tools and processes by harnessing the power of cutting-edge generative AI. We aim to drive unprecedented efficiency across Valeo product portfolio, reducing development costs and achieving a new level of intelligent automation.
 
 
 
 
 Through relentless research, we design and build a robust and adaptable AI framework that seamlessly integrates into our current workflow.
 
 
 
 
 We are committed to fostering a collaborative environment where researchers, engineers, and product teams work in unison to explore innovative solutions. We believe that by strategically integrating AI, we can optimize internal processes, streamline workflows, and drive long-term success within Valeo's existing and new product landscape.
 
 
 
 
 Responsibilities
 
 
 
 
 This position is the cornerstone of the AI4ALL team, he is responsible for developing applications, testing and maintaining them.
 
 
 
 <ul>
 <li>
 Develop &amp; re-use the core AI components of the framework.
 </li>
 <li>
 Implement APIs, models, optimize for performance, and integrate with adjacent systems.
 </li>
 <li>
 Conduct various testing (Unit Test, API Testing, Load Testing, &hellip;) for the developed components.
 </li>
 <li>
 Document all the developed components.
 </li>
 <li>
 Deploy developed products and maintain them.
 </li>
 <li>
 Build user-facing product features using the framework's capabilities
 </li>
 <li>
 Create responsive UI components, ensure smooth interactions with AI models
 </li>
 <li>
 Manage client-side data handling
 </li>
 <li>
 Conduct various frontend testing
 
 
 </li>
 </ul>
 
 
 Education/Training
 
 
 
 
 <ul>
 <li>
 B.Sc. in Communication, Mechatronics, Electronics or Computer Engineering.
 </li>
 <li>
 B.Sc. in Computer science
 
 
 </li>
 </ul>
 
 
 Professional Competences
 
 
 
 
 
 Deep learning (TensorFlow, PyTorch)
 
 
 2
 
 
 
 
 Collaborative mindset
 
 
 3
 
 
 
 
 Knowledge of GenAI Framework (LangChain, LlamaIndex)
 
 
 3
 
 
 
 
 Focus on code quality
 
 
 3
 
 
 
 
 Strong knowledge of OOP &amp; Functional Programming
 
 
 3
 
 
 
 
 Self-organized
 
 
 3
 
 
 
 
 Python, REST API development
 
 
 3
 
 
 
 
 Experience with Python based web framework (Flask, FastAPI, Django)
 
 
 3
 
 
 
 
 JavaScript/TypeScript, HTML, CSS
 
 
 3
 
 
 
 
 Frontend Frameworks at least one (React, Vue, Angular)
 
 
 2
 
 
 
 
 Experience with Python based test framework (PyTest, PyUnit)
 
 
 2
 
 
 
 
 Knowledge of Cloud Services (GCP, AWS)
 
 
 2
 
 
 
 
 
 Professional
 
 
 Experience
 
 
 
 
 <ul>
 <li>
 3+ Years of experience.
 </li>
 <li>
 Knowledge of AI/ML and GenAI.
 </li>
 <li>
 Knowledge of at least one Web framework (FastAPI, Django, Flask, &hellip;).
 </li>
 <li>
 Knowledge of (HTML, CSS, JS)
 </li>
 <li>
 Knowledge of React frontend framework is a plus.
 </li>
 <li>
 Knowledge and development for cloud platforms (GCP, AWS) is a plus.
 
 
 </li>
 </ul>
 
 
 Other Specifications
 
 
 
 
 
 We prefer a great/interested/excited team player with less experience to an unmotivated or unengaged one with tons of experience.
 
</div>

Senior Full Stack Developer, AI4ALL

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

Siemens Energy

<div>
 
 A Snapshot of your day
 
 
 
 Your day involves designing, building, and operating intelligent systems that monitor, diagnose, and optimize enterprise data pipelines, with a focus on energy operations and power plant environments such as Combined Cycle Power Plants (CCPPs). You leverage AI engineering expertise and a reliability mindset to ensure high-quality, trusted data at scale while using GenAI technologies to enhance productivity, documentation quality, and knowledge accessibility across various teams, all while maintaining safety, compliance, and engineering integrity.
 
 
 
 How You&rsquo;ll Make An Impact
 
 
 
 <ul>
 <li>
 Develop and maintain data pipelines, analytical models, and calculated indicators to support Asset Performance Management (APM) and reliability optimization.
 </li>
 <li>
 Analyze operational, maintenance, and equipment data to identify failure patterns, reliability risks, and opportunities for improvement.
 </li>
 <li>
 Design and implement data visualizations, dashboards, and machine learning-based analytical logic to model equipment behavior, failure modes, and degradation patterns.
 </li>
 <li>
 Collaborate with asset and equipment owners to support FMEAs, reliability models, and asset management workflows, such as fault recording and maintenance planning.
 </li>
 <li>
 Manage on-premises and cloud-based data platforms, ensuring reliable data flows, storage, and accessibility.
 </li>
 <li>
 Share knowledge by maintaining training resources, documentation, and communities of practice, fostering collaboration and learning.
 
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 Technical &amp; Analytical Skills: Proficient in Python, machine learning tools, data architecture, and visualization (dashboards, analytical storytelling); skilled in integrating and analyzing data from multiple operational and enterprise sources.
 </li>
 <li>
 Reliability &amp; Engineering Knowledge: Comprehensive understanding of energy generation systems, equipment types, failure mechanisms, degradation processes, RCM principles, reliability indicators, and criticality assessments.
 </li>
 <li>
 Asset &amp; Maintenance Management: Expertise in asset management workflows, maintenance planning, cost structures, inventory management, and their impact on production and energy markets.
 </li>
 <li>
 Business &amp; Collaboration Skills: Strong ability to collaborate with O&amp;M teams, asset owners, and reliability experts while translating technical insights into business value with excellent communication skills.
 </li>
 <li>
 Education &amp; Industry Experience: Degree in Data Science, Engineering, Computer Science, or related fields, with preference for experience in energy, utilities, or asset-intensive industries.
 </li>
 <li>
 Tools &amp; Technologies: Skilled in Python, machine learning frameworks, data visualization tools, on premises/cloud data platforms, APM systems, and SharePoint for knowledge management.
 
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.
 
 
 
 Who is Siemens Energy?
 
 
 
 At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.
 
 
 Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
 
 
 Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo
 
 
 
 Our Commitment to Diversity
 
 
 
 Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character &ndash; no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.
 
 
 
 Rewards/Benefits
 
 
 
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 Opportunities to work with a global team
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 Opportunities to work on and lead a variety of innovative projects
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 Medical benefits
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 Access to a variety of employee resource groups
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 Competitive Salary Package
 
 
 
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 https://jobs.siemens-energy.com/jobs
 
 
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Data Scientist - Cairo, Egypt

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