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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>

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

DXC Technology

<div>
 <p>
  <strong>
   Job Description
  </strong>
 </p>
 <p>
  <strong>
   Role Overview:
  </strong>
 </p>
 <p>
  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.
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   🔹 Data Exploration &amp; Feature Engineering:
  </strong>
 </p>
 <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>
 <p>
  <strong>
   🔹 Advanced Analytics &amp; ML
  </strong>
 </p>
 <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>
 <p>
  <strong>
   🔹 GenAI Enablement
  </strong>
 </p>
 <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>
 <p>
  <strong>
   🔹 Collaboration &amp; Business Engagement
  </strong>
 </p>
 <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>
 <p>
  <strong>
   🔹 Quality, Testing &amp; Governance
  </strong>
 </p>
 <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>
 <p>
  <strong>
   Required Skills And Experience
  </strong>
 </p>
 <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>
  <li>
   Python, Pandas, Scikit-learn, TensorFlow or PyTorch
  </li>
  <li>
   SQL (Snowflake or Google BigQuery preferred)
  </li>
  <li>
   Data wrangling and feature engineering
  </li>
  <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>
 <p>
  <strong>
   Preferred Qualifications
  </strong>
 </p>
 <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>
 <p>
  <strong>
   Soft Skills
  </strong>
 </p>
 <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>
 <p>
  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.
 </p>
 <p>
  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
  <em>
   .
  </em>
 </p>
</div>


Data Scientist

Explore 614+ Ai ml engineer in Egypt this November. Find roles across top companies and apply now to boost your career.

614 ai ml engineer jobs IN Egypt

AI/ML Engineer

AI/ML Engineer

Senior Data Engineer

ML Ops Engineer

Machine Learning Engineer

Machine Learning Engineer

Data Scientist