automation engineer

site engineer

analytics engineer

architectural engineer

assistant chief engineer

ai engineer

ArpuPlus - ARPU Telecommunications Services

<div>
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 AI Solution Design and Development:
 </li>
 <ul>
 <li>
 Designing, developing, and deploying complex AI/ML models and systems
 </li>
 <li>
 Selecting and implementing appropriate algorithms and frameworks
 </li>
 <li>
 Building scalable and efficient AI pipelines
 </li>
 </ul>
 <li>
 Model Training and Evaluation:
 </li>
 <ul>
 <li>
 Training and fine-tuning machine learning models using large datasets
 </li>
 <li>
 Evaluating model performance and optimizing for accuracy and efficiency
 </li>
 <li>
 Implementing model monitoring and retraining strategies
 </li>
 </ul>
 <li>
 Software Development and Integration:
 </li>
 <ul>
 <li>
 Integrating AI models into existing software systems
 </li>
 <li>
 Developing APIs and other interfaces for AI services
 </li>
 <li>
 Writing clean, efficient, and well-documented code
 </li>
 </ul>
 <li>
 Research and Innovation:
 </li>
 <ul>
 <li>
 Staying up-to-date with the latest AI research and trends
 </li>
 <li>
 Exploring and evaluating new AI technologies and techniques
 </li>
 <li>
 Contributing to research and development efforts
 </li>
 </ul>
 <li>
 Leadership and Collaboration:
 </li>
 <ul>
 <li>
 Leading and mentoring junior AI engineers
 </li>
 <li>
 Collaborating with cross-functional teams, including data scientists, software engineers, and product managers
 </li>
 <li>
 Communicating complex technical concepts to non-technical stakeholders
 </li>
 </ul>
 <li>
 Solution Architecture:
 </li>
 <ul>
 <li>
 Designing the architecture of AI powered solutions, insuring scalability, and reliability
 
 
 </li>
 </ul>
 </ul>
 
 Requirements
 
 
 
 
 Required Skills and Qualifications:
 
 
 
 <li>
 Education:
 </li>
 <ul>
 <li>
 A bachelor's or master's degree in computer science, artificial intelligence, machine learning, or a related field
 </li>
 </ul>
 <li>
 Experience:
 </li>
 <ul>
 <li>
 Significant experience in AI/ML development, typically 5+ years
 </li>
 <li>
 Proven track record of deploying AI solutions in production environments
 </li>
 <li>
 Experience with deep learning frameworks (TensorFlow, PyTorch, etc.)
 </li>
 <li>
 Experience with cloud platforms (AWS, Azure, GCP)
 </li>
 </ul>
 <li>
 Technical Skills:
 </li>
 <ul>
 <li>
 Proficiency in programming languages such as Python, Java, or C++
 </li>
 <li>
 Strong understanding of machine learning algorithms and deep learning techniques.
 </li>
 <li>
 Experience with natural language processing (NLP), computer vision, or other AI subfields
 </li>
 <li>
 Knowledge of data engineering principles and practices
 </li>
 <li>
 Familiarity with containerization and orchestration tools (Docker, Kubernetes).
 </li>
 <li>
 Soft Skills:
 </li>
 <li>
 Strong problem-solving and analytical skills
 </li>
 <li>
 Excellent communication and collaboration skills.
 </li>
 <li>
 Ability to work independently and as part of a team.
 </li>
 <li>
 Leadership qualities
 </li>
 </ul>
</div>

AI Engineer

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

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 RESPONSIBILITIE
 
 
 
 
 
 <ul>
 <li>
 S:
 
 Part of a team responsible for charting the AI strategy and defining the problems to be solved with
 </li>
 <li>
 AI.Integration of advanc
 
 ed AI featu
 
 res in
 
 to Power
 
 BI repor
 </li>
 <li>
 ts.Use of AI visuals like decomposition trees, key influencers, and Q&amp;
 </li>
 <li>
 ;A.Collaboration with business users to deliver intelligent, AI-powered dashboar
 </li>
 <li>
 ds.Embeddi
 
 ng machine learn
 
 ing models in
 
 to Power
 
 BI using Azure
 </li>
 <li>
 ML.Enabli
 
 ng predict
 
 ive analytics and NLP (Natural Language Processing) within repor
 </li>
 <li>
 ts.Participate in code and design reviews to maintain a high-quality codeba
 </li>
 <li>
 se.Collaborate across teams to help with AI adoption and best practic
 </li>
 </ul>
 
 
 
 
 
 es.
 
 ARE THESE YOUR SECRET INGREDIE
 
 
 
 
 
 <ul>
 <li>
 NTS?
 
 Bachelor&rsquo;s or master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related f
 </li>
 <li>
 ield.3+ years of experience in AI, machine learning, or applied analytics, ideally with a focus on business intelligence t
 </li>
 <li>
 ools.Proven experience developing AI-powered solution
 
 s in Pow
 
 er BI, including use of AI visuals (e.g., key influencers, decomposition trees, Q&amp;A), and integrating ML models via Azur
 </li>
 <li>
 e ML.Strong understandin
 
 g of Power BI archite
 
 cture, DAX, Power Query, and data modeling best pract
 </li>
 <li>
 ices.Familiarity
 
 with Azure AI Serv
 
 ices (e.g., OpenAI, AI Search, AI Language, AI Document Intelligence) and their integration into Powe
 </li>
 <li>
 r BI.Experience
 
 with P
 
 ython and basic ML frameworks (e.g., scikit-learn) and model optimization in Powe
 </li>
 <li>
 r BI.Understandin
 
 g of natural language processing
 
 (NLP) and its application in business reporting is a
 </li>
 <li>
 plus.Hands-on experience
 
 with Azure Machine Learning, Databri
 
 ck
 
 s, or Synapse Anal
 
 ytics is beneficial &ndash; focus on data preparation pipelines that feed into Powe
 </li>
 <li>
 r BI.Comfortable workin
 
 g in Agile environ
 
 ments using tools like Azure De
 </li>
 <li>
 vOps.Azure certifications (e.g., Azure Data Scientist Associate, Power BI Data Analyst Associate) are a
 </li>
 <li>
 plus.Strong analytical thinking, communication, and stakeholder collaboration sk
 </li>
 </ul>
 
 
 
 
 
 ills.
 
 ABOUT YOUR NE
 
 
 
 
 
 
 W 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 O
 
 
 
 
 
 
 PEN UP.
 
 AT COCA-COLA HBC, DIVERSITY HELPS U
 
 
 
 
 
 
 S 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

Foodics

<div>
 
 Who Are We❓
 
 
 
 We Are Foodics! a leading restaurant management ecosystem and payment tech provider. Founded in 2014 with headquarter in Riyadh and offices across 5 countries, including UAE, Egypt, Jordan and Kuwait. We are currently serving customers and partners in over 35 different countries worldwide. Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far! making Foodics one of the most rapidly evolving SaaS companies to ever emerge from the MENA region. Also Foodics has achieved three rounds of funding, with the latest raising $170 million in the largest SaaS funding round in MENA, boosting its innovation capabilities to better serve business owners.
 
 
 
 The Job in a Nutshell💡
 
 
 
 You will lead the design, development, and deployment of ML/AI/GenAI models that power core Foodics products (e.g., pricing, personalization, fraud detection). You'll collaborate with Data Engineers, Product Managers, and Platform teams to deliver production-grade models with real impact.
 
 
 
 What Will You Do❓
 
 
 
 <ul>
 <li>
 Own end-to-end ML model lifecycle: problem framing, data exploration, training, deployment, monitoring
 </li>
 <li>
 Design and develop scalable solutions using classical ML and GenAI techniques
 </li>
 <li>
 Implement MLOps best practices: versioning, reproducibility, monitoring, CI/CD for models
 </li>
 <li>
 Collaborate with squads and platform teams to ensure reusability and adherence to standards
 </li>
 <li>
 Mentor junior ML engineers and contribute to the internal ML knowledge base
 </li>
 <li>
 Integrate models with APIs and backend services as needed
 </li>
 <li>
 Embrace and enforce a "you build it, you run it" approach, owning the full lifecycle of ML models from development through monitoring and continuous improvement
 
 
 </li>
 </ul>
 
 What Are We Looking For❓
 
 
 
 <ul>
 <li>
 5+ years' experience in applied ML, AI, or data science
 </li>
 <li>
 Strong proficiency in Python and ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, HuggingFace Transformers)
 </li>
 <li>
 Experience with MLOps tools (e.g., MLflow, SageMaker) and managing versioning, testing, and observability
 </li>
 <li>
 Deep understanding of model development workflows including feature engineering, hyperparameter tuning, model evaluation, and A/B testing
 </li>
 <li>
 Deep understanding of statistical modeling, statistical inference, and the appropriate application of statistical tests (e.g., t-test, chi-square, ANOVA, regression analysis); ability to interpret results and communicate implications to both technical and non-technical audiences
 </li>
 <li>
 Proven track record of deploying ML models in production at scale
 </li>
 <li>
 Knowledge of ML best practices including bias mitigation, explainability (e.g., SHAP, LIME), and model monitoring for drift and fairness
 </li>
 <li>
 Strong understanding of data pipelines, experimentation, and model evaluation
 </li>
 <li>
 Familiarity working in a cloud-native environment (AWS preferred) with CI/CD, GitOps, and IaC tools (e.g., Terraform, CDK)
 </li>
 <li>
 Hands-on experience with GenAI / LLM integration (e.g., RAG, fine-tuning, embeddings, prompt engineering) and tools such as LangChain, LangGraph, or LlamaIndex
 
 
 </li>
 </ul>
 
 What We Offer You❗
 
 
 
 We believe you will love working at Foodics!
 
 
 <ul>
 <li>
 We have an inclusive and diverse culture that encourages innovation
 </li>
 <li>
 We offer highly competitive compensation packages, including bonuses and the potential for shares
 </li>
 <li>
 We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment
 </li>
 <li>
 Join a talented team of over 30 nationalities working in 14 countries, and gain valuable experience in an exciting industry
 </li>
 <li>
 We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company
 </li>
 </ul>
</div>

Senior Data Scientist / Senior ML Engineer

Sitech

<div>
 
 About Sitech
 
 
 
 Sitech is a global digital solutions provider with over 100 professionals delivering cutting-edge products, services, and experiences. We partner with enterprises, startups, and government entities to drive innovation through product discovery, experience design, and custom software development.
 
 
 We are seeking an
 
 experienced Senior .NET Software Engineer
 
 to join our engineering team. In this role, you will design and build secure, high-performance, and scalable API solutions that power mission-critical systems in collaboration with government entities and large-scale enterprises.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain enterprise-grade APIs using C# / .NET 9.
 </li>
 <li>
 Build and optimize microservices architectures leveraging Aspire .NET.
 </li>
 <li>
 Ensure solutions comply with security, compliance, and performance standards.
 </li>
 <li>
 Participate in software architecture design, code reviews, and documentation.
 </li>
 <li>
 Implement secure integrations while maintaining high availability and scalability for government-level systems.
 </li>
 <li>
 Collaborate with cross-functional teams including product managers, architects, and DevOps engineers.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 5+ years of professional experience in C# / .NET API development.
 </li>
 <li>
 Strong understanding of REST API design, Entity Framework Core, and relational databases (SQL Server / PostgreSQL).
 </li>
 <li>
 Experience with cloud platforms (Azure/AWS), containerization (Docker), and orchestration (Kubernetes).
 </li>
 <li>
 Solid knowledge of secure coding practices, identity management, and API security standards (OAuth2, JWT, etc.).
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Exposure to AI-powered development, including AI agents and Model Context Protocol (MCP) integration.
 </li>
 <li>
 Hands-on experience with Azure AI Services, ML.NET, or other AI/ML frameworks.
 </li>
 <li>
 Knowledge of event-driven architectures (Kafka, RabbitMQ).
 </li>
 <li>
 Previous experience working on government or highly regulated sector projects.
 </li>
 </ul>
</div>

Senior .NET Software Engineer

Explore 273+ Ai engineer in Cairo this October. Find roles across top companies and apply now to boost your career.

273 ai engineer jobs IN Cairo

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AI Engineer / Python

Data Scientist

AI Developer

Senior Data Scientist / Senior ML Engineer

Senior .NET Software Engineer

Data Scientist