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Talent 360 ME

<div>
 
 Wind Integrated Solutions, Oracle Partner
 
 
 in Egypt, KSA &amp; UAE
 
 is looking for "AI Engineer " with a strong foundation in data manipulation, machine learning, and natural language processing (NLP).
 
 
 Wind Integrated Solutions is Software Development Company that provides technology services, business automation, and business digitalization.
 
 
 
 Job Requirements:
 
 
 
 <ul>
 <li>
 BSc in Computer Science, Engineering or relevant field.
 </li>
 <li>
 1-2 years of hands-on experience in Python and NLP-related projects.
 </li>
 <li>
 Work on Python-based data projects using packages such as pandas and numpy.
 </li>
 <li>
 Perform data cleaning, preprocessing, and manipulation to prepare datasets for analysis.
 </li>
 <li>
 Implement basic NLP techniques such as tokenization, vectorization, and word embeddings.
 </li>
 <li>
 Collaborate on NLP projects with a focus on feature extraction and text analysis.
 </li>
 <li>
 Work on small to medium-scale projects that involve practical applications of NLP concepts
 </li>
 <li>
 Develop and integrate large language model (LLM) applications into existing systems, demonstrating understanding of machine learning frameworks.
 
 
 
 </li>
 </ul>
 
 Required Skills:
 
 
 
 <ul>
 <li>
 Practical exposure to building and deploying NLP models and applications.
 </li>
 <li>
 Proficiency in Python, including libraries such as pandas and numpy.
 </li>
 <li>
 Basic knowledge of NLP techniques like data preprocessing, tokenization, and vectorization.
 </li>
 <li>
 Hands-on experience in building mini-projects related to NLP.
 </li>
 <li>
 Familiarity with NLTK, scikit-learn (sklearn), or similar libraries is a plus.
 </li>
 <li>
 Experience with large language models (LLM) and their implementation is a strong advantage.
 </li>
 <li>
 Strong problem-solving skills and the ability to work independently or in a team setting.
 
 
 
 </li>
 </ul>
 
 Company Industry
 
 : Information Technology Services
 
 
 
 Company website:
 
 https://www.wind-is.com
 
 
 
 Location:
 
 Maadi - Cairo
 
 
 
 Working Hours:
 
 9:00 AM to 5:00 PM.
 
 
 
 Working Days:
 
 From Sun to Thu.
 
 
 
 Benefits:
 
 Attractive salary - Social &amp; Medical insurance - Friendly Environment - Learning &amp; Development Opportunities - Other benefits
 
 
 Apply now to drive innovation and growth with our dynamic team!
</div>

AI Engineer / Python

DXC Technology

<div>
 
 Job Description
 
 
 
 
 Role Overview:
 
 
 
 We are seeking a highly skilled and collaborative Data Scientist to join the delivery team for a strategic Data &amp; AI implementation project. The ideal candidate will support the platform&rsquo;s advanced analytics use cases, including data exploration, statistical modeling, feature engineering, ML model development, and GenAI use case enablement. You will collaborate with data engineers, architects, BI developers, and business stakeholders to deliver actionable insights and intelligent solutions.
 
 
 
 Key Responsibilities
 
 
 
 
 🔹 Data Exploration &amp; Feature Engineering:
 
 
 
 <ul>
 <li>
 Explore, profile, and analyze structured, semi-structured, and unstructured data across more than 11 enterprise source systems (e.g., SAP, Oracle Fusion, JIRA, Primavera, etc.)
 </li>
 <li>
 Perform data cleansing, feature selection, and transformation activities across Bronze and Silver layers of the Lambda Data Lakehouse architecture
 
 
 </li>
 </ul>
 
 🔹 Advanced Analytics &amp; ML
 
 
 
 <ul>
 <li>
 Develop, train, and optimize supervised and unsupervised machine learning models to support use cases such as customer churn prediction, financial chatbot insights, and operational efficiency improvements
 </li>
 <li>
 Support integration and deployment of ML models into the data platform using tools like Google Cloud AI Platform, Python, Snowflake, and Power BI
 
 
 </li>
 </ul>
 
 🔹 GenAI Enablement
 
 
 
 <ul>
 <li>
 Collaborate on use cases involving Generative AI and Large Language Models (LLMs) using structured and unstructured datasets
 </li>
 <li>
 Work with data architects to ensure the Lakehouse architecture supports these models effectively
 
 
 </li>
 </ul>
 
 🔹 Collaboration &amp; Business Engagement
 
 
 
 <ul>
 <li>
 Participate in workshops and requirement-gathering sessions with customer&rsquo;s business and technical teams
 </li>
 <li>
 Translate business questions into data science problems, and present findings in actionable, business-friendly formats (dashboards, reports, presentations)
 
 
 </li>
 </ul>
 
 🔹 Quality, Testing &amp; Governance
 
 
 
 <ul>
 <li>
 Document assumptions, modeling approaches, and validations
 </li>
 <li>
 Participate in unit testing, QA, and UAT activities related to predictive analytics and AI models
 </li>
 <li>
 Ensure compliance with NDMO, PDPL, and customer&rsquo;s internal data governance policies
 
 
 </li>
 </ul>
 
 Required Skills And Experience
 
 
 
 <ul>
 <li>
 Strong experience in data science or machine learning roles on large-scale enterprise data projects
 </li>
 <li>
 Strong hands-on experience in:
 </li>
 <ul>
 <li>
 Python, Pandas, Scikit-learn, TensorFlow or PyTorch
 </li>
 <li>
 SQL (Snowflake or Google BigQuery preferred)
 </li>
 <li>
 Data wrangling and feature engineering
 </li>
 </ul>
 <li>
 Experience with ML lifecycle and MLOps tools on Google Cloud Platform (GCP)
 </li>
 <li>
 Familiarity with data versioning, CI/CD for ML, and monitoring ML pipelines
 </li>
 <li>
 Knowledge of APIs, data integration methods, and working with virtualized layers (e.g., Denodo)
 </li>
 <li>
 Exposure to BI visualization tools like Power BI
 </li>
 <li>
 Understanding of data privacy, security, and model fairness in regulated environments
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Google Cloud Certified Data Engineer / Machine Learning Engineer (preferred but not mandatory)
 </li>
 <li>
 Experience working in real estate or public sector is a plus
 </li>
 <li>
 Understanding of data cataloging, metadata, and lineage concepts using Informatica Cloud
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong analytical mindset and problem-solving skills
 </li>
 <li>
 Excellent communication and stakeholder engagement abilities
 </li>
 <li>
 Ability to work under pressure and deliver in fast-paced, multi-vendor environments
 
 
 </li>
 </ul>
 At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We&rsquo;re committed to fostering an inclusive environment where everyone can thrive.
 
 
 Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here
 
 .
 
</div>

Data Scientist

DXC Consulting & Engineering Services

<div>
 
 Job Description
 
 
 
 
 Role Overview:
 
 
 
 We are seeking a highly skilled and collaborative Data Scientist to join the delivery team for a strategic Data &amp; AI implementation project. The ideal candidate will support the platform&rsquo;s advanced analytics use cases, including data exploration, statistical modeling, feature engineering, ML model development, and GenAI use case enablement. You will collaborate with data engineers, architects, BI developers, and business stakeholders to deliver actionable insights and intelligent solutions.
 
 
 
 Key Responsibilities
 
 
 
 
 🔹 Data Exploration &amp; Feature Engineering:
 
 
 
 <ul>
 <li>
 Explore, profile, and analyze structured, semi-structured, and unstructured data across more than 11 enterprise source systems (e.g., SAP, Oracle Fusion, JIRA, Primavera, etc.).
 </li>
 <li>
 Perform data cleansing, feature selection, and transformation activities across Bronze and Silver layers of the Lambda Data Lakehouse architecture.
 
 
 </li>
 </ul>
 
 🔹 Advanced Analytics &amp; ML
 
 
 
 <ul>
 <li>
 Develop, train, and optimize supervised and unsupervised machine learning models to support use cases such as customer churn prediction, financial chatbot insights, and operational efficiency improvements.
 </li>
 <li>
 Support integration and deployment of ML models into the data platform using tools like Google Cloud AI Platform, Python, Snowflake, and Power BI.
 
 
 </li>
 </ul>
 
 🔹 GenAI Enablement
 
 
 
 <ul>
 <li>
 Collaborate on use cases involving Generative AI and Large Language Models (LLMs) using structured and unstructured datasets.
 </li>
 <li>
 Work with data architects to ensure the Lakehouse architecture supports these models effectively.
 
 
 </li>
 </ul>
 
 🔹 Collaboration &amp; Business Engagement
 
 
 
 <ul>
 <li>
 Participate in workshops and requirement-gathering sessions with customer&rsquo;s business and technical teams.
 </li>
 <li>
 Translate business questions into data science problems, and present findings in actionable, business-friendly formats (dashboards, reports, presentations).
 
 
 </li>
 </ul>
 
 🔹 Quality, Testing &amp; Governance
 
 
 
 <ul>
 <li>
 Document assumptions, modeling approaches, and validations.
 </li>
 <li>
 Participate in unit testing, QA, and UAT activities related to predictive analytics and AI models.
 </li>
 <li>
 Ensure compliance with NDMO, PDPL, and customer&rsquo;s internal data governance policies.
 
 
 </li>
 </ul>
 
 Required Skills And Experience
 
 
 
 <ul>
 <li>
 Strong experience in data science or machine learning roles on large-scale enterprise data projects.
 </li>
 <li>
 Strong hands-on experience in:
 </li>
 <ul>
 <li>
 Python, Pandas, Scikit-learn, TensorFlow or PyTorch
 </li>
 <li>
 SQL (Snowflake or Google BigQuery preferred)
 </li>
 <li>
 Data wrangling and feature engineering
 </li>
 </ul>
 <li>
 Experience with ML lifecycle and MLOps tools on Google Cloud Platform (GCP).
 </li>
 <li>
 Familiarity with data versioning, CI/CD for ML, and monitoring ML pipelines.
 </li>
 <li>
 Knowledge of APIs, data integration methods, and working with virtualized layers (e.g., Denodo).
 </li>
 <li>
 Exposure to BI visualization tools like Power BI.
 </li>
 <li>
 Understanding of data privacy, security, and model fairness in regulated environments.
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Google Cloud Certified Data Engineer / Machine Learning Engineer (preferred but not mandatory)
 </li>
 <li>
 Experience working in real estate or public sector is a plus.
 </li>
 <li>
 Understanding of data cataloging, metadata, and lineage concepts using Informatica Cloud.
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong analytical mindset and problem-solving skills.
 </li>
 <li>
 Excellent communication and stakeholder engagement abilities.
 </li>
 <li>
 Ability to work under pressure and deliver in fast-paced, multi-vendor environments
 
 
 </li>
 </ul>
 At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We&rsquo;re committed to fostering an inclusive environment where everyone can thrive.
 
 
 Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here
 
 .
 
</div>

Coca-Cola HBC

<div>
 
 As a
 
 Digital Factory Engineer
 
 , you will serve as a dynamic catalyst in accelerating innovation and prototyping within the Digital Factory. This role is designed for enthusiastic individuals with foundational experience in areas such as Generative AI, AI, Coding (full stack), Data Science, or another Tech related field
 
 
 
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Actively applying IT knowledge to support innovative projects, contributing to efficient project goal attainment and driving the implementation of groundbreaking solutions in the Digital Commerce sector.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Work synergistically with varied stakeholders and continually expand technical acumen, enhancing the Digital Factory&rsquo;s capability and fostering an environment of continuous improvement and learning.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Participate in developing and refining effective solutions, aligning with business objectives to deliver value-driven results, and ensuring the realization of strategic technology initiatives within the company.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Maintain project coherence, ensure seamless integration with organizational objectives, and embrace varied tasks with commitment and adaptability, unlocking new avenues of value in the Digital Commerce domain.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Maintains abreast of tech trends and adapts, aligning contributions to organizational strategies.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Collaborates and conveys organizational strategies effectively, translating them into actionable insights.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Participates actively in teams, contributing to the development of product &amp; platform roadmaps in alignment with organizational goals.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Engages with vendors and customers, aligning insights and actions with organizational and customer needs.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Actively explores and assimilates new technologies and methodologies that align with strategic objectives, contributing to disruptive value propositions.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Participates in the development and refinement of solutions, ensuring they align with business plans and enterprise roadmaps, while contributing insights and perspectives.
 </li>
 </ul>
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Information Technology, or a related field.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 At least 3-4 years of experience in IT, particularly in areas like 3-tier architecture, Generative AI, ML models &ndash; Computer Vision, Data Science/Analysis, or part of Startup. Experience in rapid prototyping is a plus.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Advanced proficiency in Python, medium proficiency in Frontend technologies such as React.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Familiar with OOP, TDD, Design Patterns, MVC, MVVM, RestFUL API and modern UI-frameworks like React/Angular/Vue.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Mobile App and computer vision is a plus.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Certification in a recognized technical domain is beneficial but not mandatory.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Eagerness to learn new technologies and adapt to changes quickly. Ability to embrace and leverage new learning opportunities.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Effective interpersonal and communication skills. Ability to collaborate with different teams and contribute to a positive working environment.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Proficiency in English is essential.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Preferred But Not Required: Exposure to Agile and DevSecOps environments and familiarity with platform and product-oriented approaches.
 </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 - one of the world&rsquo;s largest bottlers and partner of The Coca-Cola Company. Our every day 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 THRIVE
 
 
 
 
 
 
 Including 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>

Digital Factory Engineer

e.construct Fz LLC

<div>
 
 About E.construct
 
 
 
 e.construct is an international engineering firm specializing in elegant and efficient solutions for complex structural challenges. With 7 offices worldwide, we design and engineer bridges, high-rises, precast concrete systems, and post-tensioned structures. While structural engineering is our foundation, we also operate across MEP, geotechnical engineering, and advanced construction technologies such as 3D concrete printing and laser scanning.
 
 
 
 About VAES.ai
 
 
 
 VAES.ai is a tech startup incubated in e.construct&rsquo;s technology lab. Our mission is to transform engineering through technology, with a focus on sustainability and efficiency. By leveraging optimization algorithms, machine learning, and advanced computation, we aim to reduce material consumption in buildings and infrastructure.
 
 
 Our team includes software developers, civil engineers, machine learning experts, and designers, working together to build tools that will shape the cities of tomorrow. At VAES, we&rsquo;re not just building software&mdash;we&rsquo;re creating the future of engineering technology.
 
 
 We are looking for a
 
 passionate Python Software Engineer
 
 to join our growing team.
 
 
 
 Why Work With Us?
 
 
 
 <ul>
 <li>
 ✨ Top Talent, Multidisciplinary Teams &ndash; Work alongside structural engineers, researchers, and software experts across regions
 </li>
 <li>
 🔧 We Build What We Use &ndash; From internal tools to evaluation systems, we design and own our software solutions
 </li>
 <li>
 🌱 Sustainability at the Core &ndash; Every product and process is built with environmental impact in mind
 </li>
 <li>
 🛡️ Stable Growth, People-First Culture &ndash; We prioritize long-term growth and support our team beyond the workplace
 </li>
 <li>
 📣 Transparent &amp; Accessible Leadership &ndash; Real communication and collaboration with decision-makers
 
 
 
 </li>
 </ul>
 
 Role Overview
 
 
 
 <ul>
 <li>
 As a Python Software Engineer, you will collaborate with computational structural engineers to develop automation tools and scalable applications for structural optimization and engineering design. You will work with libraries such as PySide6, PyVista, Numpy, Shapely, Matplotlib, and scikit-spatial, while integrating your solutions with leading industry software like ETABS, Autodesk Revit, and OpenSees
 </li>
 <li>
 A strong foundation in mathematics and geometry will be a major advantage in this role
 
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain software for structural optimization and automation
 </li>
 <li>
 Take ownership of features from concept to release
 </li>
 <li>
 Translate requirements into efficient, scalable software solutions
 </li>
 <li>
 Collaborate with stakeholders to gather requirements, test, and validate tools
 </li>
 <li>
 Ensure high-quality, reliable, and well-documented code
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field
 </li>
 <li>
 Minimum 2 years of experience in Python development
 </li>
 <li>
 Strong knowledge of data structures, algorithms, and performance optimization
 </li>
 <li>
 Proven ability to design and maintain scalable software systems
 </li>
 <li>
 Experience with API integrations and third-party services
 </li>
 <li>
 Analytical mindset with problem-solving and data-driven decision-making skills
 </li>
 <li>
 Strong focus on code quality, reliability, and performance
 
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with scientific computation libraries (Numpy, Pandas, scikit-spatial, Shapely, OpenSeesPy)
 </li>
 <li>
 Familiarity with desktop GUI frameworks (PySide6, PyQt, Tkinter)
 </li>
 <li>
 Understanding of software design patterns (MVVM, MVP)
 </li>
 <li>
 Experience with visualization toolkits (PyVista, Matplotlib, Plotly)
 
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Ownership &ndash; accountability for your work and deliverables
 </li>
 <li>
 Problem-Solving &ndash; ability to overcome complex technical challenges
 </li>
 <li>
 Communication &ndash; collaborate effectively with engineers, developers, and stakeholders
 </li>
 <li>
 Attention to Detail &ndash; precision matters; errors in engineering software can have critical consequences
 
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Competitive salary (paid in USD)
 </li>
 <li>
 Comprehensive health insurance
 </li>
 <li>
 Professional development and growth opportunities
 </li>
 <li>
 Collaborative, tech-driven environment
 </li>
 <li>
 Occasional travel for team-building and training
 
 </li>
 </ul>
</div>

Python Software Engineer

Waffarha

<div>
 
 Role Summary
 
 
 
 Own the end-to-end AI stack for four key initiatives&mdash;fraud detection, mobile-app personalization, low-code automations (Google AppSheet), and a WhatsApp chatbot. You&rsquo;ll turn
 
 
 raw data into production-grade models, liaise with domain experts (fraud, product, customer
 
 
 support) and coordinate with third-party vendors to hit rapid short-term milestones while steering the long-term AI roadmap.
 
 
 
 Responsibilities (Functionalities And Activities)
 
 
 
 <ul>
 <li>
 Data Engineering &amp; Quality Develop and maintain ELT/ETL pipelines and SQL models, ensuring accurate data lineage and validation.
 </li>
 <li>
 Labeling &amp; Feature Management Design labeling strategies and manage a structured feature catalog to support model development.
 </li>
 <li>
 Modeling &amp; Experimentation Train and evaluate machine learning models, conduct A/B testing, and assess build-versus-buy decisions.
 </li>
 <li>
 Deployment &amp; Integration Deploy models as services or APIs and integrate them into applications, low-code workflows, and chat systems.
 </li>
 <li>
 Monitoring &amp; Lifecycle Management Monitor model performance (drift, latency, cost), schedule retraining, and manage rollbacks when necessary.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 1-3 yrs building &amp; deploying ML models in Python (sklearn, TensorFlow or PyTorch)
 </li>
 <li>
 Solid SQL &amp; data-pipelines (ETL, Airflow or similar)
 </li>
 <li>
 Familiar with cloud services (GCP preferred; AWS/Azure fine)
 </li>
 <li>
 Basic REST API design &amp; consumption.
 </li>
 <li>
 Hands-on with at least one of: fraud analytics, recommender systems, conversational AI
 </li>
 <li>
 Experience with low-/no-code automation (Google AppSheet, Power Automate, Zapier, etc.)
 </li>
 <li>
 Strong stakeholder communication.
 </li>
 <li>
 Able to balance quick wins with scalable architectures.
 </li>
 <li>
 B.Sc. or higher in Data Science, CS, Engineering, Statistics, or related.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Exposure to WhatsApp Business Cloud API, Twilio, or similar messaging platforms.
 </li>
 <li>
 Real-time data streaming (Kafka, Pub/Sub, Kinesis)
 </li>
 <li>
 MLOps tooling (Docker, Kubernetes, Kubeflow, MLflow)
 </li>
 <li>
 Experience with feature stores &amp; vector databases for personalization.
 </li>
 <li>
 Arabic &amp; English fluency.
 </li>
 </ul>
</div>

Data Engineer (Data Scientist – AI & Automation)

<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:
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Part of a team responsible for charting the AI strategy and defining the problems to be solved with AI.
 </li>
 <li>
 Integration of advanced
 
 AI features
 
 into
 
 Power BI
 
 reports.
 </li>
 <li>
 Use of AI visuals like decomposition trees, key influencers, and Q&amp;A.
 </li>
 <li>
 Collaboration with business users to deliver intelligent, AI-powered dashboards.
 </li>
 <li>
 Embedding
 
 machine learning
 
 models into
 
 Power BI
 
 using Azure ML.
 </li>
 <li>
 Enabling
 
 predictive
 
 analytics and NLP (Natural Language Processing) within reports.
 </li>
 <li>
 Participate in code and design reviews to maintain a high-quality codebase.
 </li>
 <li>
 Collaborate across teams to help with AI adoption and best practices.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.
 </li>
 <li>
 3+ years of experience in AI, machine learning, or applied analytics, ideally with a focus on business intelligence tools.
 </li>
 <li>
 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.
 </li>
 <li>
 Strong understanding of
 
 Power BI architecture
 
 , DAX, Power Query, and data modeling best practices.
 </li>
 <li>
 Familiarity with
 
 Azure AI Services
 
 (e.g., OpenAI, AI Search, AI Language, AI Document Intelligence) and their integration into Power BI.
 </li>
 <li>
 Experience with
 
 Python
 
 and basic ML frameworks (e.g., scikit-learn) and model optimization in Power BI.
 </li>
 <li>
 Understanding of
 
 natural language processing (NLP)
 
 and its application in business reporting is a plus.
 </li>
 <li>
 Hands-on experience with
 
 Azure Machine Learning, Databricks,
 
 or
 
 Synapse Analytics
 
 is beneficial &ndash; focus on data preparation pipelines that feed into Power BI.
 </li>
 <li>
 Comfortable working in
 
 Agile environments
 
 using tools like Azure DevOps.
 </li>
 <li>
 Azure certifications (e.g., Azure Data Scientist Associate, Power BI Data Analyst Associate) are a plus.
 </li>
 <li>
 Strong analytical thinking, communication, and stakeholder collaboration skills.
 </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>

AI Developer

Explore 177+ Ai engineer python in Cairo this September. Find roles across top companies and apply now to boost your career.

177 ai engineer python jobs IN Cairo

AI Engineer / Python

Data Scientist

Data Scientist

Digital Factory Engineer

Python Software Engineer

Data Engineer (Data Scientist – AI & Automation)

AI Developer