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ai ml engineer

eXtra (United Electronics Co.)

<div>
 <p>
  <strong>
   Position Summary:
  </strong>
 </p>
 <p>
  The
  <strong>
   AI/ML Engineer
  </strong>
  will be responsible for designing, developing, and implementing AI and machine learning models that solve real business challenges. The ideal candidate will work with cross-functional teams to develop intelligent systems, analyze large datasets, and deploy models into scalable applications that support automation, personalization, and decision-making processes.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Essential Qualifications &amp; Skills:
  </strong>
 </p>
 <ul>
  <li>
   Design and develop machine learning and AI models to meet business needs.
  </li>
  <li>
   Work closely with data scientists and business analysts to gather requirements and understand business goals.
  </li>
  <li>
   Develop data pipelines for model training, validation, and deployment.
  </li>
  <li>
   Integrate AI models into enterprise systems, APIs, or front-end applications.
  </li>
  <li>
   Continuously monitor and optimize model performance in production environments.
  </li>
  <li>
   Stay up to date with advancements in AI/ML and recommend tools and frameworks that align with business goals.
  </li>
  <li>
   Document models, pipelines, and workflows for technical teams and stakeholders.
  </li>
  <li>
   Ensure ethical and secure use of data, adhering to governance and privacy guidelines.
   <strong>
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements:
  </strong>
 </p>
 <ul>
  <li>
   Strong proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
  </li>
  <li>
   Experience in developing supervised, unsupervised, and deep learning models.
  </li>
  <li>
   Solid understanding of data structures, algorithms, and mathematical modeling.
  </li>
  <li>
   Familiarity with REST APIs, microservices architecture, and cloud platforms (AWS, Azure, or GCP).
  </li>
  <li>
   Experience with data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn).
  </li>
  <li>
   Hands-on experience with model deployment using Docker, Flask/FastAPI, or MLflow.
  </li>
  <li>
   Knowledge of databases (SQL and NoSQL) and data preprocessing techniques.
  </li>
  <li>
   <strong>
    3+ years
   </strong>
   in AI/ML development.
  </li>
  <li>
   Bachelor&rsquo;s degree in computer science, Data Science, Artificial Intelligence, Software Engineering, or a related field&hellip;
  </li>
 </ul>
 <p>
 </p>
</div>


AI/ML Engineer

akwad

<p></p><div><p><b>Job Overview:</b><br>
We are seeking a talented and experienced AI/ML Engineer to design, develop, and deploy cutting-edge artificial intelligence and machine learning solutions. This role focuses on the core ML lifecycle, from data handling and model development to deployment, optimization, and monitoring in production environments. The ideal candidate will be passionate about leveraging the latest advancements in AI, particularly in areas like Large Language Models (LLMs) and Natural Language Processing (NLP), to build intelligent systems that drive innovation and solve complex problems.<br>
<b>Key Responsibilities:</b></p>
<ul><li>
Design, build, train, and fine-tune various machine learning models, with a strong focus on Large Language Models (LLMs) and Natural Language Processing (NLP) models.
</li><li>Collaborate with data scientists and engineers to acquire, preprocess, and manage data required for model training and evaluation.
</li><li>Implement and utilize AI/ML frameworks and libraries (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face transformers).
</li><li>Develop and implement APIs and integration points to make AI/ML models and services accessible to other engineering teams and systems.
</li><li>Deploy, manage, and monitor models and AI services in production environments, ensuring performance, scalability, and reliability.
</li><li>Utilize specialized AI development tools and frameworks such as LangChain, AutoGen, or other intelligent agent frameworks.
</li><li>Implement MLOps practices for model versioning, continuous integration/continuous deployment (CI/CD), monitoring, and retraining.
</li><li>Optimize models and inference pipelines for performance, efficiency, and cost-effectiveness.
</li><li>Stay updated with the latest research, techniques, and tools in the AI/ML field and propose new approaches.
</li><li>Collaborate effectively with product managers, data scientists, and other engineering teams (e.g., backend, frontend) to translate requirements into technical designs and integrate AI capabilities into products.
</li></ul>
<p><b>Required Skills and Experience:</b></p>
<ul><li>
4+ years of experience in a technical role with a strong focus on Machine Learning and AI development (ideally 2+ years dedicated AI/ML experience).
</li><li>Proficiency in Python and standard ML/AI libraries (e.g., NumPy, Pandas, scikit-learn, TensorFlow, PyTorch).
</li><li>Solid understanding of core Machine Learning concepts, algorithms, model evaluation techniques, and deployment strategies.
</li><li>Hands-on experience building, training, and deploying models, especially LLMs and NLP models.
</li><li>Experience working with LLM APIs (e.g., OpenAI, Anthropic) and relevant libraries/frameworks (e.g., Hugging Face transformers, LangChain, AutoGen).
</li><li>Familiarity with vector databases/stores (e.g., Pinecone, Weaviate, FAISS) and techniques like RAG (Retrieval Augmented Generation).
</li><li>Experience with model deployment tools and MLOps practices.
</li><li>Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) for model deployment.
</li><li>Understanding of API design principles for serving machine learning models.
</li><li>Strong problem-solving skills and ability to translate business problems into technical AI/ML solutions.
</li><li>Excellent communication and collaboration skills.
</li></ul>
<p><b>Nice-to-Haves:</b></p>
<ul><li>
Experience with specific cloud ML services (e.g., AWS SageMaker, Google AI Platform/Vertex AI, Azure ML).
</li><li>Knowledge of data engineering pipelines and ETL processes.
</li><li>Experience with distributed training frameworks.
</li><li>Contributions to open-source AI/ML projects.
</li><li>Advanced degree (Master's or PhD) in Computer Science, Machine Learning, Data Science, or a related quantitative field.</li></ul></div>

Oracle

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 As a member of Oracle&rsquo;s Customer Success Services (CSS) organization, your primary role will be to provide post-sales support and cutting-edge AI solutions to Oracle&rsquo;s customer base, while continuously advocating for their needs. You will be responsible for managing and supporting customer environments on Oracle Cloud Infrastructure (OCI) and offering expert guidance to design, build, and deploy intelligent solutions that optimize the performance, availability, and security of Oracle cloud environments.
 <br/>
 <br/>
 We are seeking a skilled and self-motivated Lead Cloud Architect with a strong blend of architectural design, implementation experience, and advanced artificial intelligence (AI) and machine learning (ML) skills across Oracle Cloud Infrastructure (OCI) and generative AI solutions. The ideal candidate is a forward-thinking IT professional with at least 10 years of industry experience, passionate about AI/ML, and capable of independently addressing complex technical challenges. Prior experience in architecting and automating large-scale infrastructure solutions, preferably on OCI or similar cloud platforms, is essential.
 <br/>
 <br/>
 Career Level: IC4
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 The Lead Cloud Architect (LCA) &amp; AI specialist will deliver best-in-class services to CSS customers running solutions on both private and public cloud environments.
 <br/>
 <br/>
 <ul>
  <li>
   Collaborate with customers and Oracle Sales to capture business and industry requirements, translating them into technical architectures aligned with Oracle&rsquo;s best practices and service delivery standards.
  </li>
  <li>
   Apply industry and Oracle best practices to provide technical guidance on Oracle Cloud and generative AI solutions.
  </li>
  <li>
   Lead and influence architectural design, capacity planning, optimization, and operation of customer solutions on OCI.
  </li>
  <li>
   Design and build scalable infrastructure to deploy generative AI models, efficiently managing compute resources.
  </li>
  <li>
   Lead and mentor highly experienced CSS delivery teams, providing technical governance and guidance.
  </li>
  <li>
   Maintain market awareness of competitor technologies as well as emerging industry trends.
  </li>
  <li>
   Play a leading role in automating cloud infrastructure implementations using the latest cloud capabilities.
  </li>
  <li>
   Support life cycle operations and maintenance activities in OCI.
  </li>
  <li>
   Drive initiatives to mitigate failures and troubleshoot issues across the entire infrastructure stack.
  </li>
  <li>
   Configure and tune system and network parameters for optimal performance.
  </li>
  <li>
   Monitor and ensure system stability and overall performance.
  </li>
  <li>
   Identify and implement enhancements for the health, scalability, and resiliency of cloud services.
  </li>
  <li>
   Document infrastructure architecture, configurations, standards, and processes.
  </li>
  <li>
   Serve as the primary contact for new business opportunities, supporting the CSS pre-sales team by identifying and promoting opportunities for Oracle products and services to support business growth.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field required.
  </li>
  <li>
   Enterprise Design/Architecture Framework experience (e.g., TOGAF) is highly desirable.
  </li>
  <li>
   Minimum 10 years of experience as a Senior Cloud Architect delivering enterprise solutions or transformation programs, ideally targeting cloud technologies
  </li>
  <li>
   Deep experience in various aspects of designing and provisioning Oracle Cloud services, including architectural decisions, overseeing security aspects, and helping the team through the OCI transformation processes:
  </li>
  <ul>
   <li>
    Architecture Design: Develop and design robust and scalable Oracle Cloud solutions based on business requirements, ensuring optimal performance, security, and reliability.
   </li>
   <li>
    Implementation: Lead the implementation and deployment of Oracle Cloud infrastructure, services, and applications, following best practices and standards.
   </li>
   <li>
    Cloud Migration: Collaborate with teams to plan and execute the migration of on-premises systems and applications to the Oracle Cloud platform.
   </li>
   <li>
    Security Assurance: Ensure the security of Oracle Cloud environments by implementing and enforcing security policies, access controls, and encryption mechanisms.
   </li>
   <li>
    Performance Optimization: Monitor and optimize Oracle Cloud resources to enhance system performance, responsiveness, and cost efficiency.
   </li>
  </ul>
  <li>
   Proficient in Artificial Intelligence (AI) and Machine Learning (ML):
  </li>
  <ul>
   <li>
    Experience with GenAI, machine learning, data science, language models (LLMs), and/or LangChain.
   </li>
   <li>
    Proven ability to design, build, and deploy advanced machine learning or generative AI systems&mdash;especially focusing on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search solutions.
   </li>
   <li>
    Ability to translate business requirements into robust AI or ML models.
   </li>
  </ul>
  <li>
   Strong experience with automation, DevOps, and GitOps practices, including:
  </li>
  <ul>
   <li>
    Container technologies (e.g., Docker, Kubernetes)
   </li>
   <li>
    Git-based source control systems (e.g., Bitbucket, GitHub, GitLab)
   </li>
   <li>
    CI/CD tools (e.g., Jenkins)
   </li>
   <li>
    Infrastructure as Code tools (e.g., Terraform, Ansible)
   </li>
   <li>
    Experience with cloud provider CI/CD offerings (e.g., OCI, Azure, AWS)
    <br/>
   </li>
  </ul>
 </ul>
 As a world leader in cloud solutions, Oracle uses tomorrow&rsquo;s technology to tackle today&rsquo;s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.
 <br/>
 <br/>
 When everyone&rsquo;s voice is heard, we&rsquo;re inspired to go beyond what&rsquo;s been done before. It&rsquo;s why we&rsquo;re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.
 <br/>
 <br/>
 We&rsquo;ve partnered with industry-leaders in almost every sector&mdash;and continue to thrive after 40+ years of change by operating with integrity.
 <br/>
 <br/>
 Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
 <br/>
 <br/>
 We&rsquo;re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling +1 888 404 2494, option one.
 <br/>
 <br/>
 Disclaimer:
 <br/>
 <br/>
 Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
 <br/>
 <br/>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Career Level - IC4
 <br/>
 <br/>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 As a world leader in cloud solutions, Oracle uses tomorrow&rsquo;s technology to tackle today&rsquo;s challenges. We&rsquo;ve partnered with industry-leaders in almost every sector&mdash;and continue to thrive after 40+ years of change by operating with integrity.
 <br/>
 <br/>
 We know that true innovation starts when everyone is empowered to contribute. That&rsquo;s why we&rsquo;re committed to growing an inclusive workforce that promotes opportunities for all.
 <br/>
 <br/>
 Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
 <br/>
 <br/>
 We&rsquo;re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.
 <br/>
 <br/>
 Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
</div>


CSS - Lead Cloud Architect & AI specialist (Cairo)

CrossWorkers

<div><h3 class="jobSectionHeader"><b>Senior Data Engineer</b></h3><h3 class="jobSectionHeader"><b>
Job Title: Senior Data Engineer</b></h3><p><b>
Department: IT Department</b><br>
<b>Location:</b> On-site<br>
<b>Employment Type:</b> Full-time<br>
<b>Level:</b> Mid-level / Senior<br>
<b>Location:</b> Cairo Office, New Cairo</p><br>
<p><b>About the Job:</b></p><p>
We are seeking for a <b>Data Engineer</b> with strong experience in <b>AI/ML data pipelines</b> and expertise in modern data platforms such as <b>Databricks, Snowflake, or Azure AI</b>. You will design, implement, and optimize large-scale data systems to support machine learning and analytics initiatives.</p><p><b><br>
Technical profile/ Your duties:</b></p><ul>
<li><b>
Deliver </b>the assigned tasks within due time frame and minimum percentage of defects/bugs, ensuring the needed quality of delivery is attained.</li>
<li><b>Ensure </b>being up to date with the latest needed technologies aiding the Client&rsquo;s projects needs and delivery.</li>
<li><b>Document </b>all tasks being implemented for easy reference to the development team and Clients.</li>
<li><b>Effectively Communicates</b> with the Team/Client, for an easy flow of information and connection with the team.</li>
<li><b>Manage time</b> to utilize 25% - 30% for research and learning and 70% - 75% for technical development.</li>
<li><b>Provides</b> information by collecting, analyzing, and summarizing development and service issues.</li>
<li><b>Follow</b> the NDA &amp; Security Data Protection Guidelines ensuring data is confidential and not disclosed to any third parties</li><br>
</ul><p><b>
Job Description</b>:</p><ul>
<li>
Design and build end-to-end <b>data pipelines</b> enabling AI and ML solutions.</li>
<li>Work with <b>Databricks, Snowflake, or Azure AI</b> for large-scale data processing.</li>
<li>Develop ETL/ELT pipelines and optimize data flows.</li>
<li>Ensure data quality, integrity, and governance.</li>
<li>Collaborate with Data Scientists to support ML model development and deployment.</li>
<li>Write efficient queries and workflows using <b>SQL</b>.</li>
<li>Automate workflows using Python or similar scripting languages.</li>
Optimize performance of data systems and storage layers.<br>
<li>
</li>
</ul><b>Required Skills and Qualification:</b><br>
<ul>
<li>Strong experience with <b>AI/ML workflows</b> or supporting machine learning teams.</li>
<li>Hands-on expertise in <b>Databricks, Snowflake, or Azure AI</b>.</li>
<li>Excellent knowledge of <b>SQL</b> and data modeling.</li>
<li>Experience with Python for data engineering tasks.</li>
<li>Familiarity with cloud data architectures (Azure/AWS/GCP).</li>
<li>Strong understanding of distributed computing and modern data ecosystems.</li><br>
</ul><p><b>
Join Us and Thrive! Here's What We Offer:</b></p><ul>
<li><b>
Seamless Commute:</b> Enjoy hassle-free transportation to and from work!</li>
<li><b>Work-Life Harmony:</b> We believe in balancing your professional and personal life, because you deserve it!</li>
<li><b>Competitive Salary:</b> We value your skills and offer an attractive package.</li>
<li><b>Comprehensive Care:</b> Rest easy with our social and medical insurance that keeps you covered.</li>
<li><b>Inspiring Workspace:</b> Work in a vibrant office equipped with the latest technology to fuel your creativity.</li>
<li><b>Empowered Environment:</b> Experience a management style that&rsquo;s open and inclusive, rooted in Scandinavian values.</li>
<li><b>Grow With Us:</b> Unlock your potential with opportunities for personal development and continuous learning!</li>
<li><b>Travel:</b> Travel to connect with your client and build lasting relationships!</li><br>
</ul><p><b>
About Crossworkers</b><br>
We are Danish owned software offshoring company, providing European clients with professional Egyptian developers.<br>
We have been in business since 2009, providing excellent services within the offshoring software development.<br>
The headquarters are in Copenhagen, Denmark and the Offshore Development Center is in the Fifth Settlement, New Cairo.<br>
 We have more branches in Sweden, Norway, Finland, Switzerland, UK, Germany and lately Bahrain.</p></div>

Senior Data Engineer

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are hiring an ML Ops Engineer to operationalize machine learning solutions across Digital Oilfield (DOF) platforms. This is a critical role ensuring that models move from development to robust, production-grade deployment with high availability, traceability, and security.<br>
The ideal candidate will be responsible for automating pipelines, managing model versions, integrating APIs, and monitoring ML system health across diverse operational environments. Oil &amp; gas exposure is beneficial but not required; this is a technical engineering role with high ownership and cross-team collaboration.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Develop and maintain ML pipelines for data preprocessing, training, validation, deployment, and monitoring.
</p></div><div><p>Implement model governance strategies&mdash;versioning, rollback, audit trails, and explainability.
</p></div><div><p>Set up containerized environments and scalable inference systems (e.g., using Docker, Kubernetes).
</p></div><div><p>Collaborate with software, IT, and data teams to ensure model integration and compliance.
</p></div><div><p>Support continuous improvement of ML lifecycle management practices and tooling.
</p></div><div><p>business trip to Kuwait
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Strong software engineering background with ML Ops or DevOps exposure
</p></div><div><p>Hands-on experience with MLflow, Azure ML, Kubeflow, or equivalent.
</p></div><div><p>Proficiency in CI/CD workflows and scripting for automation.
</p></div><div><p>Familiarity with model monitoring, drift detection, and alerting frameworks.
</p></div><div><p>Experience deploying Python-based ML models in production.
</p></div></div><p>Nice to have
</p><div><div><p>Understanding of Digital Oilfield environments or OT/IT integration.
</p></div><div><p>Familiarity with cloud-native services&mdash;Azure is preferred.
</p></div><div><p>Exposure to real-time data streaming (e.g., Kafka, IoT platforms).
</p></div><div><p>Understanding of security, compliance, and data access protocols in enterprise environments.
</p></div><div><p>Certifications:
</p></div><div><p>Azure DevOps or Azure AI Engineer certification is a plus.
</p></div><div><p>AWS DevOps Engineer certification is nice to have but not required
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>Remote Egypt, Egypt
</p></div><p>Req. VR-118737
</p></div><div></div><div><div><p>DevOps
</p></div><div><p>Cross Industry Solutions</p>
</div><div><p>26/11/2025
</p></div><div><p>Req. VR-118737</p></div></div></div><p></p>

ML Ops Engineer

Envision Employment Solutions

Envision Employment Solutions is currently looking for a Machine Learning Engineer for one of our partners, a global leader in consulting, digital transformation, technology, and engineering services.
<br><br>
<b>Responsibilities:</b><br>
<ul>
<li>Machine Learning & AI Solutions</li>
<li>Deploy advanced machine learning models and AI-driven solutions across cloud environments.</li>
<li>Lead the end-to-end lifecycle of ML models, from data ingestion and feature engineering to model training, evaluation, and deployment.</li>
<li>Monitor model performance and implement retraining strategies to ensure long-term accuracy and relevance.</li>
<li>Cloud & Data Engineering</li>
<li>Architect and optimize scalable data pipelines and cloud-based infrastructures (Azure, AWS, or GCP) to support ML workloads.</li>
<li>Collaborate with data engineers to ensure robust data preprocessing, transformation, and storage strategies.</li>
<li>MLOps & Automation</li>
<li>Develop and maintain CI/CD pipelines tailored for ML workflows, including automated testing, model versioning, and deployment.</li>
<li>Integrate monitoring and alerting systems to track model drift, data quality, and system performance.</li>
<li>Collaboration & Innovation</li>
<li>Work closely with cross-functional teams including data scientists, product managers, and business stakeholders to translate business needs into technical solutions.</li>
<li>Mentor junior engineers and contribute to knowledge sharing and best practices across the team.</li>
</ul>
<b>Requirements:</b><br>
<ul>
<li>Technical Skills</li>
<li>Strong proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li>
<li>Strong command of SQL and experience with large-scale data processing tools (e.g., Spark, Pandas).</li>
<li>Deep understanding of cloud platforms (Azure, AWS, GCP) and their ML services.</li>
<li>Skilled in MLOps practices, including CI/CD, containerization (Docker), and orchestration (Kubernetes).</li>
<li>Familiarity with Git and collaborative development workflows.</li>
<li>Experience</li>
<li>6+ years of experience working with complex datasets and solving real-world business problems using AI</li>
<li>Proven track record of deploying and maintaining ML models in production environments.</li>
<li>Communication Skills</li>
<li>Excellent written and verbal communication skills to collaborate effectively with cross-functional teams.</li>
<li>Fluent in Qatari Arabic & English, both spoken and written.</li>
<li>Additional Skills</li>
<li>Strong problem-solving abilities and attention to detail.</li>
<li>Ability to work collaboratively in a team environment.</li>
<li>Self-motivated with a continuous learning mindset.</li>
<li>Team management.</li>
</ul>
<b>Benefits:</b><br>
<ul>
<li>Competitive Salary based on experience</li>
<li>Social and medical insurance</li>
<li>Learning, development and career progression</li>
</ul>


Machine Learning Engineer

Explore 639+ Ai ml engineer in Support Senior Specialist Revenue Management Broadband Jobs In Egypt this November. Find roles across top companies and apply now to boost your career.

639 ai ml engineer jobs IN Support Senior Specialist Revenue Management Broadband Jobs In Egypt

AI/ML Engineer

AI/ML Engineer

CSS - Lead Cloud Architect & AI specialist (Cairo)

Senior Data Engineer

ML Ops Engineer

Machine Learning Engineer

Machine Learning Engineer