installation engineer

maintenance engineer

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ai/ml engineer

assistant engineering manager Jobs in Cairo

assistant engineering manager

ai ml engineer

Grand Technology

Grand Technology is seeking a highly motivated and skilled AI/ML Engineer to join our growing team in Cairo, Egypt. This is a full-time position offering an exciting opportunity to work on cutting-edge AI/ML projects and contribute to the development of innovative solutions. The successful candidate will be responsible for designing, developing, and deploying machine learning models and algorithms. They will work closely with other engineers and researchers to deliver high-quality AI/ML solutions that meet business needs. Responsibilities * Design, develop, and implement machine learning models and algorithms. * Research and explore new AI/ML techniques and technologies. * Process and analyse large datasets to identify patterns and insights. * Evaluate and optimise the performance of machine learning models. * Collaborate with other engineers and researchers to integrate AI/ML solutions into existing systems. * Stay up-to-date with the latest advancements in the field of AI/ML. * Contribute to the development of innovative AI/ML solutions for various business applications. Qualifications * Strong understanding of machine learning principles and algorithms. * Proficiency in programming languages such as Python or R. * Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). * Ability to work with large datasets and perform data analysis. * Excellent problem-solving and analytical skills. * Strong communication and teamwork skills. * Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Benefits * Competitive salary range of 30,000 EGP to 60,000 EGP. &nbsp;

AI/ML Engineer

Agoda

<div>
 Bangkok, Thailand
 
 
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 
 Our Purpose &ndash;
 
 
 Bridging the World Through Travel
 
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 
 
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 
 Get to Know Our Team
 
 
 
 The Data department oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 
 
 
 The Opportunity
 
 
 
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 
 
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world&rsquo;s largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 
 
 
 In This Role, You&rsquo;ll Get to
 
 
 
 <ul>
 <li>
 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness
 </li>
 <li>
 Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation
 </li>
 <li>
 Work with developers and a variety of business owners to deliver daily results with the best quality
 </li>
 <li>
 Research discover and harness new ideas that can make a difference
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <ul>
 <li>
 4+ years hands-on data science experience
 </li>
 <li>
 Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks
 </li>
 <li>
 Significant proficiency in SQL and languages like Python, PySpark and/or Scala
 </li>
 <li>
 Can lead, work independently as well as play a key role in a team
 </li>
 <li>
 Good communication and interpersonal skills for working in a multicultural work environment
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if You Have
 
 
 
 <ul>
 <li>
 PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
 </li>
 <li>
 Experience in NLP, image processing and/or recommendation systems
 </li>
 <li>
 Hands on experience in data engineering, working with big data framework like Spark/Hadoop
 </li>
 <li>
 Experience in data science for e-commerce and/or OTA
 
 
 </li>
 </ul>
 
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
 
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 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
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</div>

Lead DS (Data Scientist) Bangkok based, Relocation provided

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

Grand Technology is seeking a highly motivated and experienced Senior AI &amp; Automation Engineer to join our growing team in Cairo, Egypt. This is a full-time job.&nbsp; As a Senior AI &amp; Automation Engineer, you will play a critical role in designing, developing, and implementing cutting-edge AI and automation solutions to optimize our operations and drive innovation. You will collaborate with cross-functional teams to identify opportunities for automation, develop and deploy AI agents, and monitor their performance. This role requires a strong understanding of AI/ML algorithms, automation tools, and software engineering principles. Key Responsibilities &nbsp;<h4>AI Development &amp; Implementation &nbsp;</h4>Design, develop, and deploy advanced AI/ML agents for business-critical applications.Apply data preprocessing, feature engineering, and model optimization techniques for high performance and scalability.Research and integrate cutting-edge AI frameworks, algorithms, and tools into production environments.Perform model evaluation, tuning, and A/B testing to ensure accuracy, robustness, and compliance with project goals. &nbsp;<h4>Automation Engineering &nbsp;</h4>Design and implement process automation solutions using Python scripting, RPA (Robotic Process Automation) tools, and AI-assisted automation.Build APIs, pipelines, and integration layers to connect AI models with enterprise systems.Develop intelligent AI agents to automate repetitive, rule-based, and data-intensive tasks.Collaborate with DevOps teams to deploy and monitor automation workflows in cloud and on-prem environments. &nbsp;<h4>Software Development &amp; Coding &nbsp;</h4>Write clean, efficient, and well-documented Python code for AI and automation projects.Develop modular, reusable, and maintainable code following software engineering best practices.Integrate AI/automation components into larger software ecosystems. &nbsp;<h4>Collaboration &amp; Leadership &nbsp;</h4>Work with data scientists, data engineers, software developers, and business analysts to define AI automation requirements and deliverables.Mentor junior engineers and review code for quality, scalability, and security.Lead technical discussions, provide AI expertise, and contribute to strategic AI roadmaps. &nbsp;

Senior AI & Automation 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:
 
 
 
 
 
 
 
 
 <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

Elharefa

<div>
 I&rsquo;m starting a new skincare brand called Orl&eacute;ans, and my first product is an Eye Serum (30 ml). I would like you to design for me:
 
 
 <ul>
 <li>
 A luxury logo for Orl&eacute;ans.
 </li>
 <li>
 A luxury packaging box for the serum.
 </li>
 <li>
 A sticker/label for the serum container itself. ________________________________________ Product Information:
 </li>
 <li>
 Product: Orl&eacute;ans Eye Serum (for dark circles and under-eye care).
 </li>
 <li>
 Container: Rounded bottle, approx. 11.5 cm height &times; 3 cm width.
 </li>
 <li>
 Box size: approx. 12 cm height &times; 3.5 cm width &times; 3.5 cm depth.
 </li>
 <li>
 Volume: 30 ml / 1.01 fl oz. ________________________________________ What should appear on the design: Front (Box &amp; Sticker):
 </li>
 <li>
 Logo (Orl&eacute;ans).
 </li>
 <li>
 Product name: Eye Serum.
 </li>
 <li>
 Highlight: With Hyaluronic Acid.
 </li>
 <li>
 Short benefits: Hydrates
 </li>
 <li>
 Brightens
 </li>
 <li>
 Revives.
 </li>
 <li>
 Size: 30 ml / 1.01 fl oz. Side (Box):
 </li>
 <li>
 Description: Orl&eacute;ans Eye Serum with Hyaluronic Acid is designed to deeply hydrate, reduce the appearance of dark circles, and refresh tired under-eyes for a brighter, youthful look.
 </li>
 <li>
 Directions: Apply a small amount under the eyes morning and night. Gently massage until fully absorbed.
 </li>
 <li>
 Ingredients: Aqua (Water), Glycerin, Hyaluronic Acid, Caffeine, Vitamin C (Ascorbic Acid), Aloe Vera Extract, Niacinamide, Panthenol, Carbomer, Triethanolamine, Phenoxyethanol, Ethylhexylglycerin. ________________________________________ Notes for Designer:
 </li>
 <li>
 This is a new/startup brand, so I want the design to feel luxurious, elegant, and professional.
 </li>
 <li>
 Please use your creativity &mdash; I give you full freedom as long as the result looks high-end and appealing.
 </li>
 <li>
 I don&rsquo;t have barcodes, expiry dates, or recycling symbols yet, so leave space clean/simple.
 </li>
 <li>
 Deliver print-ready files (AI/PSD + PDF) and the dieline for the box.
 </li>
 </ul>
</div>

Logo and product design

Microsoft

<div>
 The information extraction team in shopping is seeking a highly motivated and talented
 
 Applied Scientist
 
 to work on cutting-edge technologies in the field of information extraction in the shopping domain.
 
 
 As an Applied Scientist you will gain extensive experience in information extraction using the latest AI advances and LLMs. You will gain valuable experience in building real-world information extraction systems at a Web scale. This opportunity will allow you to use cutting-edge AI technologies, accelerate your career growth and develop deep business acumen.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 You will gain a basic understanding of a broad area of research and applicable research techniques. You&rsquo;ll also develop a basic knowledge of industry trends and share your knowledge with immediate team members.
 </li>
 <li>
 You will apply strategies provided by senior team members. Following guidance from team leaders, you&rsquo;ll also research relevant tools and technologies being used in the community.
 </li>
 <li>
 You will reinforce a positive environment by learning and adopting best practices. Additionally, you will also maintain or develop ties with an external network of peers and identify prospective talent for Microsoft research pipelines when asked.
 </li>
 <li>
 You will assist with documentation for senior team members, as needed.
 </li>
 <li>
 You will also learn and follow ethics and privacy policies while executing research processes or collecting information.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifcations:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science, Electrical or Computer Engineering or related field AND relevant internship experience (e.g., statistics, predictive analytics, research)
 </li>
 <ul>
 <li>
 OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 You must be legally authorised to work in Egypt to be eligible for this role (Legally authorised = has citizenship or has been granted a valid visa or work permit)
 </li>
 <li>
 Fluency in English
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science, Electrical or Computer Engineering,
 </li>
 <ul>
 <li>
 OR related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 Solid machine learning/AI/LLM knowledge.
 </li>
 <li>
 Experience building and deploying ML/Ai systems including investigation, prototyping, deployment and continuous measurement.
 </li>
 <li>
 Solid knowledge of python/other ML languages and frameworks.
 
 </li>
 </ul>
 #MicrosoftAI #LLMs #InformationExtraction #WebScale #Shopping
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Applied Scientist

Explore 109+ Ai ml engineer in Cairo this September. Find roles across top companies and apply now to boost your career.