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senior ai & automation engineer Jobs in Cairo

senior ai & automation engineer

machine learning 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

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

Henkel

<div>
 
 About this Position
 
 The Data Scientist enables value creation with data innovations (e.g. Applied data Science, Machine Learning, Artificial Intelligence, Quantitative Research &amp; Statistics) and productionizing data products. The team includes experts in analytics and finance, implementing analytical use cases for Adhesives unit (HAT), from product innovation to customer facing applications. The team is responsible for applying the latest tools and technologies as well as cloud services to design, build and run data driven AI solutions that contribute to Henkel&rsquo;s digitalization strategy.
 
 
 
 What You&acute;ll Do
 
 
 
 <ul>
 <li>
 Solve complex business problems with data; using data scientific tools to find solutions for challenges in the realm of both big and small data: developing custom data models and algorithms to apply to data sets
 </li>
 <li>
 Delivers data science products from idea to deployment
 </li>
 <li>
 Actively participate in cross-functional project teams in the execution of our analytics strategy, exploring emerging technologies and leveraging their full potential
 </li>
 <li>
 Develop processes and tools to monitor and analyze model performance and data accuracy
 </li>
 <li>
 Acts as data science ambassador across business units and functions
 
 
 </li>
 </ul>
 
 What makes you a good fit
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Network Engineering, Business informatics, or any relevant study
 </li>
 <li>
 3-5 years of relevant work experience
 </li>
 <li>
 Expert knowledge in at least one of the following data science areas: supervised or unsupervised machine learning, statistical modeling
 </li>
 <li>
 Business acumen and ability to work closely with non-technical teams
 </li>
 <li>
 High confidence in verbal and written communication.
 </li>
 <li>
 Experience using statistical computer languages (Python and SQL knowledge is a must)
 </li>
 <li>
 Experience analyzing data from 3rd party providers is preferable
 </li>
 <li>
 Microsoft Azure (DevOps, machine learning, databricks etc.) experience is preferable
 
 
 </li>
 </ul>
 
 Some perks of joining Henkel
 
 
 
 <ul>
 <li>
 Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
 </li>
 <li>
 Diverse national and international growth opportunities
 </li>
 <li>
 Globally wellbeing standards with health and preventive care programs
 </li>
 <li>
 Gender-neutral parental leave for a minimum of 8 weeks
 </li>
 <li>
 Employee Share Plan with voluntary investment and Henkel matching shares
 </li>
 <li>
 Comprehensive Health Insurance for employee + dependents
 </li>
 <li>
 Employee Assistance Program provides a wide range of mental health and wellbeing benefits
 
 
 </li>
 </ul>
 At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.
</div>

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)

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.
 
 
 Copy Link Line WeChat LinkedIn Email
 
 
</div>

Lead DS (Data Scientist) Bangkok based, Relocation provided

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

Methode Electronics

<div>
 
 Job Title: Production Engineer (CNC Background)
 
 
 
 
 Company: Methode Electronics Egypt
 
 
 
 
 Location: Nasr city, Cairo,
 
 Egypt (on-site)
 
 
 
 
 
 
 About us:
 
 
 
 Methode Electronics, Inc. (NYSE: MEI) is a leading global supplier of custom-engineered solutions with sales, engineering and manufacturing locations in North America, Europe, Middle East and Asia. We design, engineer, and produce mechatronic products for OEMs utilizing our broad range of technologies for user interface, LED lighting system, power distribution and sensor applications. Our solutions are found in the end markets of transportation (including automotive, commercial vehicle, e-bike, aerospace, bus, and rail), cloud computing infrastructure, construction equipment, and consumer appliance. Our business is managed on a segment basis, with those segments being Automotive, Industrial, and Interface.
 
 
 
 Job Summary:
 
 
 
 We are seeking a detail-oriented and experienced
 
 Production Engineer
 
 with a strong background in
 
 CNC machining
 
 to join our manufacturing team. The ideal candidate will be responsible for optimizing production processes, ensuring product quality, and improving manufacturing efficiency&mdash;particularly within CNC operations. This role bridges engineering and shop floor operations, playing a key role in continuous improvement and problem-solving.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Supervise and optimize CNC machining processes to improve productivity and reduce downtime.
 </li>
 <li>
 Set up and validate new CNC jobs, including tooling and fixture design in collaboration with tooling teams.
 </li>
 <li>
 Monitor machine performance, identify process bottlenecks, and implement corrective actions.
 </li>
 <li>
 Collaborate with design, maintenance, and quality teams to ensure product integrity and manufacturing feasibility.
 </li>
 <li>
 Lead continuous improvement initiatives (lean manufacturing, 5S, Kaizen, etc.).
 </li>
 <li>
 Train and support machine operators on best practices, safety protocols, and new processes.
 </li>
 <li>
 Support root cause analysis and corrective actions for production or quality issues.
 </li>
 <li>
 Maintain documentation for processes, tooling, and CNC programs.
 </li>
 </ul>
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in mechanical engineering, Electrical Engineering Production Engineering, or a related field.
 </li>
 <li>
 1-3 years of experience in a production or manufacturing engineering role with CNC exposure.
 </li>
 <li>
 Proficient in CNC programming (G-code/M-code), machine setup, and troubleshooting.
 </li>
 <li>
 Knowledge of manufacturing processes, tooling, and materials.
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 <li>
 Familiarity with Lean Manufacturing and Six Sigma principles is a plus.
 </li>
 <li>
 Excellent communication and teamwork skills.
 </li>
 <li>
 Excellent Command of English.
 </li>
 </ul>
 
 
</div>

Production Engineer (CNC Background)

Explore 209+ Machine learning engineer in Cairo this September. Find roles across top companies and apply now to boost your career.

209 machine learning engineer jobs IN Cairo

AI/ML Engineer

Data Scientist

Data Scientist

Data Engineer (Data Scientist – AI & Automation)

Lead DS (Data Scientist) Bangkok based, Relocation provided

Senior AI & Automation Engineer

Production Engineer (CNC Background)