3d design & implementation specialist, clo

ai developer

ai/ml engineer

amzl associate i

bms/elv site specialist

building manager

ai ml engineer

<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

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

<div>
 
 Overview
 
 
 
 As part of our Data &amp; AI team in the AI Hub, you will help drive analytics, decision-making, and innovation&mdash;contributing to a more agile and efficient finance function. By fostering outstanding leadership and teamwork, we fulfil our commitment to stakeholders and play a pivotal role in building a better working world for our people, clients, and communities.
 
 
 The Opportunity
 
 
 We are seeking a Fullstack Developer to join our AI Hub, where we rapidly deliver prototypes, proof-of-concepts (PoCs), and minimum viable products (MVPs) that bring AI use cases to life. This role demands expertise across both front-end and back-end development, supporting the creation of dynamic AI-driven products such as GenAI-enabled web applications, use case marketplaces, and diagnostic tools. You will be responsible for designing, building, and optimizing end-to-end solutions&mdash;translating business requirements into robust, scalable, and accessible web experiences.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and iterate fullstack web applications for AI Hub PoCs and MVPs&mdash;delivering responsive UIs, seamless navigation, dashboards, and interactive user experiences.
 </li>
 <li>
 Architect and implement RESTful APIs and backend services, ensuring secure integration and clean API design in line with modern best practices.
 </li>
 <li>
 Translate product requirements and wireframes into maintainable, design-system-friendly UI components using React, Next.js, Tailwind CSS, and modern CSS methodologies.
 </li>
 <li>
 Integrate front-end applications with AI/ML and backend services (REST/GraphQL), enabling advanced features like chat, summarization, and guided workflows.
 </li>
 <li>
 Optimize applications for performance, accessibility (WCAG compliance), and cross-browser compatibility, with a focus on debugging and fine-tuning both front-end and back-end performance.
 </li>
 <li>
 Collaborate closely with UI/UX designers, stakeholders, and cross-functional teams to ship high-quality, production-ready code in short, iterative cycles.
 </li>
 <li>
 Contribute to the development and maintenance of reusable UI patterns, backend utilities, and assets to accelerate delivery across multiple AI Hub initiatives.
 </li>
 <li>
 Support delivery planning, uphold high engineering standards, participate in code reviews, testing, documentation, and CI/CD-friendly practices.
 
 
 </li>
 </ul>
 Skills and Attributes for Success
 
 
 <ul>
 <li>
 Strong ownership mindset; thrives in fast-paced, iterative delivery environments.
 </li>
 <li>
 Exceptional communication skills with both technical and non-technical stakeholders.
 </li>
 <li>
 Demonstrated craftsmanship and attention to detail in both UI/UX and backend architecture.
 </li>
 <li>
 Expertise in performance debugging, accessibility, and usability.
 </li>
 <li>
 Proactive problem-solver who can quickly unblock challenges and propose pragmatic solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field.
 </li>
 <li>
 6+ years of professional experience in fullstack web development.
 </li>
 <li>
 Deep expertise in React and Next.js for building modern, component-based UIs.
 </li>
 <li>
 Extensive experience with API usage and design, including REST API architecture and integration.
 </li>
 <li>
 Strong proficiency in Tailwind CSS and advanced CSS techniques for scalable and maintainable styling.
 </li>
 <li>
 Solid background in performance debugging and cross-browser compatibility.
 </li>
 <li>
 Hands-on experience in building accessible (WCAG-compliant) web applications.
 
 
 </li>
 </ul>
 Ideally, You&rsquo;ll Also Have
 
 
 <ul>
 <li>
 Familiarity with DevOps practices, especially Azure hosting (App Service, Static Web Apps), CI/CD, and observability.
 </li>
 <li>
 UI/UX design experience or close collaboration with design teams.
 </li>
 <li>
 Experience building data-heavy interfaces (tables, charts, filters) and handling internationalization (Arabic language skills are a plus).
 
 
 </li>
 </ul>
 What We Look For
 
 
 We are seeking ambitious builders who excel at transforming ambiguity into impactful digital solutions. You are passionate about AI-driven products, comfortable with rapid prototyping, and motivated by delivering market-relevant, client-centric applications that generate tangible value.
 
 
 What We Offer
 
 
 <ul>
 <li>
 Competitive compensation package, performance-based rewards, and recognition for your contributions.
 </li>
 <li>
 Continuous learning and world-class professional development opportunities.
 </li>
 <li>
 Flexible work arrangements to empower your impact.
 </li>
 <li>
 Coaching, mentorship, and transformative leadership experiences.
 </li>
 <li>
 A diverse, inclusive, and collaborative culture.
 
 
 </li>
 </ul>
 If you meet the above criteria, we encourage you to apply and become part of the exceptional EY experience&mdash;where you can shape your future and help us build a better working world.
 
 
 EY | Building a better working world
</div>

Fullstack Developer - AI Hub (Cairo, Amman or Riyadh)

mylo

<div>
 
 mylo
 
 is a fintech platform dedicated to helping millions of people and businesses thrive by providing accessible and responsible financial solutions. Whether you're purchasing a mobile phone, a new jacket, a flight ticket, a comfy couch, or even covering school tuition, mylo enables you to buy now and pay later at thousands of points of sale across Egypt. Born out of B.TECH&mdash;Egypt's leading electronics and appliances retailer with over 27 years of experience in offering buy now, pay later solutions&mdash;mylo brings a legacy of trust and innovation to the fintech space. All mylo products are fully Sharia-compliant, ensuring ethical and inclusive financial practices.
 
 
 The Role We are looking for a Staff Data Scientist to lead the technical strategy for our decisioning engines. You will operate at the intersection of Data Science and Software Engineering, designing high-scale systems that power multiple business lines&mdash;from Growth &amp; Pricing to Underwriting &amp; Collections. You will move beyond simple model building to architecting robust, reproducible MLOps pipelines that serve real-time financial decisions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Multi-Domain Technical Strategy: Lead the development of ML solutions across diverse contexts, ensuring that models for Credit Risk, Pricing Elasticity, and Collection Optimization utilize shared infrastructure efficiently
 </li>
 <li>
 MLOps Architecture: Champion the adoption of modern Model Serving frameworks and Feature Stores. Design workflows that ensure feature consistency between training and real-time inference
 </li>
 <li>
 Engineering Standards: Establish rigorous standards for Data Versioning, experiment tracking, and Hyperparameter Optimization, ensuring all research is reproducible and production-ready
 </li>
 <li>
 Production Deployment: Oversee the transition of models from notebook environments to low-latency production APIs. Ensure models are wrapped, containerized, and integrated seamlessly with backend services
 </li>
 <li>
 Mentorship: Guide the team in best practices for Python software engineering, including testing strategies, code structure, and performance optimization
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Experience: 7+ years in Data Science with a strong emphasis on production engineering. Experience in Fintech, Lending, or Risk is highly preferred
 </li>
 <li>
 ML Proficiency: Deep understanding of both classical machine learning (Gradient Boosting, Statistical Models) and Deep Learning frameworks
 </li>
 <li>
 Production Engineering: Proven track record of deploying models in real-time environments. Familiarity with the concepts of Feature Stores and Model Registries is essential
 </li>
 <li>
 Technical Stack: Expert-level Python skills. Strong proficiency in SQL and relational database design
 </li>
 <li>
 Strategic Thinking: Ability to translate complex business KPIs (e.g., reducing Non-Performing Loans) into technical ML roadmaps
 </li>
 </ul>
</div>

Staff Data Scientist

Alignerr

<div>
 
 Wildlife and Habitat Conservation Scientist (AI Training)
 
 
 
 
 About The Role
 
 
 
 We&rsquo;re seeking wildlife and habitat conservation scientists to help evaluate AI systems trained on biodiversity protection and ecosystem management.
 
 
 <ul>
 <li>
 Organization: Alignerr (Powered by Labelbox)
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Type: Hourly / Task-based Contract
 </li>
 <li>
 Compensation: $30-55 /hour
 </li>
 <li>
 Commitment: 10-40 hours/week
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Review wildlife and habitat conservation scenarios used in AI training.
 </li>
 <li>
 Assess accuracy of ecological reasoning and conservation strategies.
 </li>
 <li>
 Identify unrealistic assumptions or misapplied conservation methods.
 </li>
 <li>
 Provide structured feedback to improve ecological validity.
 </li>
 <li>
 Work independently and asynchronously to meet project deadlines.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 3+ years of experience in wildlife biology, ecology, or habitat conservation.
 </li>
 <li>
 Strong understanding of biodiversity and ecosystem management.
 </li>
 <li>
 Able to evaluate applied ecological reasoning in written form.
 </li>
 <li>
 Comfortable reviewing structured scientific content.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Graduate degree in Ecology, Wildlife Biology, or related field.
 </li>
 <li>
 Field research or conservation program experience.
 </li>
 <li>
 Familiarity with AI or content evaluation workflows.
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Competitive pay and flexible remote work.
 </li>
 <li>
 Lead a team working on cutting-edge AI projects.
 </li>
 <li>
 Exposure to advanced LLMs and how they&rsquo;re trained.
 </li>
 <li>
 Freelance perks: autonomy, flexibility, and global collaboration.
 </li>
 <li>
 Potential for contract extension.
 
 
 </li>
 </ul>
 
 Application Process (Takes 10-15 min)
 
 
 
 <ul>
 <li>
 Submit your resume
 </li>
 <li>
 Complete a short screening
 </li>
 <li>
 Project matching and onboarding
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Wildlife and Habitat Conservation Scientist

NoGood

<div>
 
 We are:
 
 
 
 A team of proven growth experts, creatives, and data scientists who help unlock rapid growth for some of the world's most iconic brands. We've successfully grown many companies from hundreds to millions in revenue. We have worked with VC-backed startups and Fortune 500 brands including TikTok, Oura, Nike, P&amp;G, Intuit, and many more. We are based out of New York City and support startups and scale-ups around the globe.
 
 
 
 The role:
 
 
 
 NoGood is looking for a hands-on AI Search and Technical SEO Intern to help drive implementation and organic visibility growth. You will assist in day-to-day technical SEO audits, AI search optimization, keyword research, and AEO implementation. As a team member, you will learn from SEO, AEO, and organic traffic growth experts.
 
 
 This position can be remote, but preferably will be based out of our headquarters in New York City.
 
 
 
 You'll do:
 
 
 
 <ul>
 <li>
 Oversee and learn technical implementation methods for improving organic visibility
 </li>
 <li>
 Conduct technical SEO audits including site speed analysis, crawl error identification, schema markup implementation, and indexation optimization
 </li>
 <li>
 Research emerging AI search trends (Google SGE, Perplexity, ChatGPT Browse, Bing Copilot, etc.)
 </li>
 <li>
 Analyze how AI models summarize and cite web content, and identify optimization opportunities
 </li>
 <li>
 Support creation of AEO briefs with technical frameworks optimized for LLMs
 </li>
 <li>
 Use tools like Goodie, Ahrefs, Search Console, Perplexity, and ChatGPT to monitor shifts in visibility
 </li>
 <li>
 Implement structured data and schema markup to enhance AI search discoverability
 </li>
 <li>
 Conduct market research to track industry trends and competitive analysis to inform technical SEO strategies
 </li>
 <li>
 Partner with the marketing team to work on new initiatives to drive growth through technical optimization
 </li>
 <li>
 Monitor and analyze technical SEO metrics and AI search performance
 </li>
 <li>
 Other responsibilities as assigned
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 You have:
 
 
 
 <ul>
 <li>
 Strong career interest in technical SEO, marketing analytics, and AI Search (AEO)
 </li>
 <li>
 Exposure to SEMRush, Ahrefs, Google Search Console, Google Analytics is a plus
 </li>
 <li>
 Excellent project management skills - able to juggle multiple priorities and meet deadlines
 </li>
 <li>
 A can-do attitude and able to complete tasks with little supervision
 </li>
 <li>
 Strong analytical skills to interpret technical data and identify optimization opportunities to attribute growth and show value
 </li>
 <li>
 Excellent communication and interpersonal skills
 </li>
 <li>
 Working knowledge of WordPress is a must. Ability to implement technical optimizations within CMS including schema markup, meta tags, and site structure improvements
 </li>
 <li>
 Experience (or a strong understanding) using marketing automation software like HubSpot is a plus
 </li>
 <li>
 Basic understanding of HTML, CSS, and website architecture is a plus
 </li>
 <li>
 Successfully completed an undergraduate degree or are currently enrolled in either a 4-year program or Graduate program at an accredited school
 </li>
 <li>
 Ability to dedicate 32+ hours per week
 
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 
 Perks Of Becoming a NoGoodie:
 
 
 
 <ul>
 <li>
 Flex Work Environment: hybrid at HQ and remote globally
 </li>
 <li>
 Level Up: Mentorship &amp; Career Growth Support
 </li>
 <li>
 Always Be Learning: Access to Top-tier Resources &amp; Industry Experts
 </li>
 <li>
 Work Hard, Play Harder: Quarterly Team Trips (Onsite and Offsite)
 </li>
 <li>
 Fuel Your Day: Free Lunch, Snacks, Cold Brew, &amp; Happy Hours
 </li>
 <li>
 Grow With Us: Endless Opportunities to Lead &amp; Succeed
 </li>
 <li>
 Keep on Shining: Ongoing Employee Development Programs
 
 
 
 </li>
 </ul>
 
 EEO &amp; Compensation Transparency Statement:
 
 
 
 NoGood is committed to pay transparency and equity among all employees and provides employees an environment where pay transparency and dialogue on compensation are allowed. NoGood complies with federal, state, and local laws on compensation, pay transparency, and pay equity. We take factors including geographic location, education, training, skillset, market rates, certifications, and more into consideration when constructing pay ranges for new and existing roles within our organization.
 
 
 At NoGood, we understand that diversity in the workplace is vital to a company's success and growth. We strive to make sure that our team members are included and have a sense of belonging that makes us a great company to work with and a great company to work for. To that end, NoGood is committed to Equal Opportunity Employment and complies with all Equal Opportunity Employment laws. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will work to make reasonable accommodations available in the job application and interview process, to perform essential duties of the job function, and to retrieve other benefits and privileges of employment with our organization.
</div>

AI Search Intern

<div>
 
 
 Department
 
 : Data, Insights &amp; AI
 
 
 
 Location
 
 : Egypt (Cairo).
 
 
 
 
 We are expanding our team and seeking a highly skilled Data Engineer with strong expertise in Microsoft Azure, solid knowledge of machine learning, experience with modern software delivery practices, and a curious mindset toward artificial intelligence applications to join our Analytics Engineering team within the Digital &amp; Technology Platform Services (DTPS) organization at Coca‑Cola Hellenic. In this role, you will contribute to shaping the strategy, design, and development of advanced analytics solutions that deliver meaningful insights and support data‑driven decision‑making across the business. You will be part of the Data Insights and Artificial Intelligence (DIAI) team, integrating and transforming data into scalable, analytics‑ready solutions and cutting‑edge machine learning applications.
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Design, develop, implement, and optimize scalable, high performance, secure, and cost-efficient data pipelines using Microsoft Azure cloud services and large scale data technologies, including Apache Spark and PySpark built with object-oriented programming principles.
 </li>
 <li>
 Load and process data from Azure Data Lake, orchestrate Azure Databricks jobs, and manage Azure Data Factory pipelines with a high degree of proficiency.
 </li>
 <li>
 Develop and implement robust data quality frameworks to ensure data integrity across all stages of the data lifecycle.
 </li>
 <li>
 Perform data profiling, analysis, and validation to identify, troubleshoot, and resolve data quality issues in a timely and effective manner.
 </li>
 <li>
 Implement security, governance, and access control measures to safeguard sensitive data within Microsoft Azure environments.
 </li>
 <li>
 Build and maintain machine learning workflows and data pipelines that support model development, deployment, and ongoing monitoring.
 </li>
 <li>
 Utilize Git based version control to manage code repositories, apply structured branching strategies, and enable collaborative development practices.
 </li>
 <li>
 Apply Agile methodologies to plan, prioritize, and deliver data engineering work in iterative development cycles.
 </li>
 <li>
 Develop and maintain comprehensive documentation for data solutions, including data models, data flows, architectural diagrams, and detailed technical specifications.
 </li>
 <li>
 Stay up to date with Microsoft Azure data services, large scale data tools, DevOps practices, and broader industry best practices, providing recommendations for adoption and continuous improvement.
 </li>
 <li>
 Collaborate with Azure developers and data engineers from Coca Cola Hellenic vendors, offering guidance on data engineering techniques, standards, and methodologies.
 </li>
 <li>
 Work closely with DevOps teams to implement and maintain continuous integration and continuous delivery pipelines for Azure based applications and data workflows.
 </li>
 <li>
 Support Microsoft Power Business Intelligence developers by evaluating and optimizing data connection methods and data transfer strategies, ensuring high performance, scalability, data quality, and security.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, engineering, or a related discipline (or equivalent practical experience),
 </li>
 <li>
 Two or more years of professional experience; Microsoft Azure Data Engineer certification is considered an advantage.
 </li>
 <li>
 Strong understanding of secure software development and modern software delivery practices, including continuous integration, continuous delivery, automated testing, automated deployments, and extensive experience using Git for version control
 </li>
 <li>
 Deep expertise with Microsoft Azure data services, including Azure Data Factory, Azure Data Lake Storage, and Azure Databricks, with solid experience applying performance optimization techniques for analytics and reporting workloads.
 </li>
 <li>
 Strong hands-on experience with Apache Spark and PySpark using object-oriented programming, along with strong skills in Python and SQL to design and optimize scalable data pipelines across largescale data architectures that handle big data.
 </li>
 <li>
 Knowledge of Systems, Applications, and Products Business Warehouse extractors, transformations, and data export processes, along with experience working within Agile and Scaled Agile Framework environments.
 </li>
 <li>
 Proven ability to ensure data quality, reliability, and operational efficiency, supporting advanced analytics and machine learning workflows.
 </li>
 <li>
 A foundational understanding of machine learning concepts, feature engineering, and machine learning operations for model deployment and monitoring.
 </li>
 </ul>
 
 
 
 
 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>

Data Engineer

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