259 AI Intern jobs in Egypt

We are seeking passionate, forward-thinking professionals to join our dynamic software engineering team.

Our client is a leading industry provider of electronic component data and parts management software in the electronics industry. They have been the go-to partner for thousands of electronic engineers, supply chain leaders, and procurement experts across Fortune 500 companies. They specialize in technology information with more than 20 years of experience.

The AI/Machine Learning Engineer
is responsible for supporting the development and implementation of machine learning solutions that drive innovation across our business. Working alongside experienced engineers and domain experts, you'll help turn data into actionable insights and contribute to models that power real-world applications.

Key Accountabilities

• Assist in the design and development of machine learning models to solve business problems.
• Perform data cleaning, preprocessing, and exploration to prepare datasets for analysis and modeling.
• Collaborate with team members to analyze data, identify patterns, and extract insights.
• Support the evaluation and improvement of existing models using appropriate metrics and techniques.
• Work closely with cross-functional teams (engineering, product, business) to integrate data science solutions into products and processes.
• Stay current with industry tools and best practices in machine learning and data analysis.

Knowledge, Skills, And Experience
We Are Looking For:

• 3+ years of hands-on experience with machine learning or data analysis projects (academic or industry).
• Proficiency in Python and key libraries (e.g., pandas, NumPy, scikit-learn, matplotlib).
• Solid understanding of machine learning fundamentals, model evaluation, and data preprocessing.
• Good problem-solving skills and a willingness to learn new tools and techniques.
• Strong communication skills and the ability to work in a collaborative environment.

Preferred Qualifications

• Bachelor's in Computer Science, Data Science, Statistics, or a related field.
• Exposure to AWS cloud platform or deployment tools is a plus.
• Familiarity with NLP tasks.
• Familiarity with large language models or generative AI technologies is a bonus.

Build and deploy AI-powered services that extract, classify, and process financial documents

• Develop intelligent agents that assist internal teams (e.g., customer support copilots, task triage bots)
• Integrate Large Language Models (LLMs) to generate summaries, draft insights, or auto-fill fields
• Fine-tune models on proprietary datasets (e.g., transactions, invoices, customer interactions)
• Collaborate with product, data, and engineering teams to bring smart features into production
• Optimize models for cost, speed, and relevance in a multi-tenant SaaS environment
• Monitor performance, accuracy, and feedback loops to improve over time

2 4 years of experience in AI/ML engineering or applied data science

• Strong coding skills in Python, with experience in frameworks like HuggingFace Transformers, LangChain, FastAPI
• Familiarity with LLMs, embeddings, retrieval-based systems (RAG), and prompt engineering
• Experience working with vector databases (e.g., Pinecone, Weaviate, Qdrant, FAISS)
• Ability to deploy models in production (Docker, Lambda, serverless APIs, etc.)
• Bonus: Experience with OCR pipelines, invoice parsing, or financial document processing
• Bonus: Knowledge of Reinforcement Learning from Human Feedback (RLHF) or model fine-tuning

We are looking for a skilled AI Engineer with at least 3 years of experience in building, deploying, and optimizing AI/ML solutions. You will work closely with our product, engineering, and data science teams to design and implement models that power recommendations, improve search, optimize delivery operations, and personalize the customer journey.

• Design, develop, and deploy machine learning and deep learning models for recommendation systems, personalization, and operational optimization.
• Collaborate with data engineers to ensure robust data pipelines for model training and inference.
• Integrate AI solutions into production environments with scalable APIs and cloud platforms.
• Continuously monitor, evaluate, and fine-tune model performance.
• Stay up to date with the latest advancements in AI/ML and apply them to real business challenges.
• Work cross-functionally with product managers, engineers, and analysts to define use cases and deliver measurable impact.

• Bachelor's or Master's in Computer Science, AI, Data Science, or related field.
• 3+ years of hands-on experience in AI/ML model development and deployment.
• Strong programming skills in Python (TensorFlow, PyTorch, Scikit-learn, etc.).
• Solid understanding of machine learning algorithms, deep learning architectures, NLP, and recommendation systems.
• Experience working with cloud platforms (AWS, GCP, or Azure).
• Familiarity with MLOps tools (Docker, Kubernetes, MLflow, or similar) is a strong plus.
• Strong problem-solving skills and ability to translate business needs into AI solutions.
• Excellent communication and collaboration skills.

Level:

Mid-level

Location:

(Cairo / Hybrid)

Employment Type:

Full-time

Role Overview

We are seeking a 
mid-level AI Engineer

to join our team and contribute to the development of AI models that power our
E-KYC

and
E-Contract

platforms. The role combines building new machine learning models, maintaining and improving existing ones, analyzing client data and user sessions, and supporting integrations with other services.

Job Role:

• Develop and maintain AI/ML models for our current
  E-KYC

and
E-Contract

products.
- Collaborate with data scientists, backend engineers, and product managers to deliver robust AI-driven solutions.
- Monitor, maintain, and improve the performance of existing AI models in production.
- Clearly and regularly communicate progress, challenges, and results with management and technical teams.
- Test and validate AI solutions to ensure functionality, reliability, and optimization.
- Analyze client data and user sessions to generate actionable insights on performance and user experience.
- Research and stay up-to-date with the latest ML/AI technologies and apply the right approaches to each product.
- Run machine learning experiments using Python and modern ML frameworks.
- Deploy AI solutions into production environments using containerization.
- Optimize deployed solutions for performance, scalability, and low-latency inference.

Requirements:

• 2–4 years

of experience in machine learning or applied AI engineering.
- Solid understanding of
probability and statistics fundamentals

.
- Strong proficiency in
Python

(Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch).
- Experience with
machine learning

and
deep learning

workflows.
- Familiarity with
Git

and version control workflows.
- Experience with
Docker

and containerization for deploying models.
- Experience deploying and monitoring
ML models in production

.
- Exposure to
NLP tasks

(Arabic NLP is a strong plus).
- Experience with
OCR

and computer vision tasks is a plus.
- Knowledge of
performance optimization

and scaling ML services.

Bonus Points

• Familiarity with
  GraphQL and Prisma

for API and data layer integration.
- Exposure to
MLOps practices

, including model monitoring, logging, and drift detection.

Location:

Remote

Position Overview:

We are seeking a talented and innovative AI Developer to design, develop, and deploy AI solutions that solve real-world problems. The ideal candidate will work collaboratively with cross-functional teams to solve business problems and provide advanced data analysis solutions by interacting with LLMs and machine learning models and integrating AI systems into our products and services.

Key Responsibilities:

• AI Model Development:
  Using popular frameworks, integrate structured and non-structured data with AI Models (LLMS and MLs) and develop useful business analysis solutions.
• Data Processing:
  Collect, clean, preprocess, and analyze large datasets to support AI initiatives.
• Model Training:
  Improve the performance, accuracy and scalabity of AI models through structured, contextual training.
• Integration:
  Collaborate with software engineers to integrate AI capabilities into broader, enterprise applications.
• Research and Innovation:
  Stay current with emerging trends in AI and ML, and apply new methodologies to enhance our technology stack.
• Testing and Validation:
  Conduct rigorous testing of AI models to ensure accuracy, efficiency, and reliability.
• Documentation:
  Maintain detailed technical documentation for AI systems, including workflows, model architecture, and API usage.

Qualifications:

• Education:
  Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
• Experience:
  2-5 years of experience in AI/ML development, with a strong portfolio of projects or relevant work experience.
• Technical Skills:
• Proficiency in programming languages like Python, R, or Java.
• Experience with ML/DL frameworks such as TensorFlow, LangChain, LlamaIndex, Haystack, Apache Spark.
• Familiarity with data analysis and visualization tools (e.g., Pandas, Matplotlib).
• Strong understanding of algorithms, statistics, and optimization techniques.
• Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) for AI deployment.
• Soft Skills:
  Excellent problem-solving abilities, strong communication skills, and the ability to work collaboratively in a team environment.

Preferred Qualifications:

• Experience with natural language processing (NLP), or reinforcement learning.
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Familiarity with AI ethics and responsible AI practices.

Education:

• Bachelor's degree in Computer Science, AI, or related field; advanced degree preferred.

About 21Tech INC:

21Tech services Public and Private sector organizations across the U.S. and Canada for over 25 years, especially those managing asset intensive operations. We specialize in managing large-scale transformations and application implementations as well as business processes improvement initiatives. We also provide system integration services for Infor/Hexagon products such as EAM, CSF, WFM, etc. Our clients range from the world's top transit agencies, large cities and municipalities, and many more.

Our client in KSA is seeking an on-site
AI Engineer
to design, build, and deploy advanced AI models. This role focuses on turning business needs into working AI solutions, with hands-on involvement in model development, optimization, and integration into real-world products.

Responsibilities
:

• Develop, train, and deploy AI/ML models with a focus on
  NLP, neural networks, and pattern recognition
  .
• Collaborate with the CTO and product teams to integrate AI models into production systems.
• Conduct research to improve model performance, scalability, and efficiency.
• Work with structured and unstructured data (text, financial, healthcare, etc.).
• Stay updated on the latest AI frameworks, tools, and research trends.
• Support innovation by experimenting with emerging technologies such as
  LLMs and generative AI
  .

Requirements
:

• Strong background in machine learning, AI model development, and software engineering.
• Hands-on experience with frameworks such as
  PyTorch, TensorFlow, and LangChain
  .
• Skilled in Python (JavaScript/TypeScript, R, or Java a plus).
• Experience with model training, fine-tuning, and deployment in production.
• Strong analytical and problem-solving abilities.
• Excellent teamwork and communication skills.
• 5 years of experience is
  required
  .
• On-site in
  Riyadh
  .

We're looking for a Senior AI Engineer with deep expertise in
Computer Vision
to join our team. If you have a passion for building scalable AI solutions, optimizing cutting-edge models, and mentoring others while working on impactful projects, this is your next big move.

What You'll Do

• Design, develop, and deploy advanced computer vision algorithms and models
• Optimize AI pipelines with Python, PyTorch, CUDA, Docker, AWS S3
• Write clean, modular, and maintainable code using SOLID principles
• Collaborate with cross-functional teams to integrate AI into production environments
• Research and implement the latest advancements in CV, ML, and DL
• Mentor and guide junior AI developers

What We're Looking For

• Bachelor's or Master's in Computer Science, AI, or related fields
• 3+ years in AI/ML, including 2 years in Computer Vision
• Strong skills in Python3, PyTorch, YOLO, CUDA, Docker
• Experience with MongoDB, ffmpeg, AWS S3, and classical ML techniques
• Excellent analytical and problem-solving skills

Preferred Extras

• Hands-on with NLP, recommendation systems, or reinforcement learning
• Knowledge of microservices architecture and CI/CD pipelines

AI Developer — Voice Agent

Role Overview

We are looking for an experienced AI Developer
who has previously worked on building
Voice Agents and Chatbots
. The role requires proven hands-on expertise in developing
custom, self-hosted AI modules
(not just API integration) that combine ASR (speech-to-text), TTS (text-to-speech), and NLP/LLM for Arabic (Saudi/Gulf dialects). The developer should be able to design, deploy, and optimize a production-ready system that integrates with telephony (SIP/Asterisk/Issabel) and messaging channels such as WhatsApp API.

Responsibilities

• Design and implement a
  real-time Voice Agent
  for handling inbound/outbound calls with natural, low-latency interaction.
• Build a
  custom AI module
  (self-hosted LLM/NLP + ASR + TTS) optimized for Arabic, including fine-tuning or RAG pipelines.
• Integrate with
  VoIP/PBX
  systems (Asterisk/Issabel/FreePBX, SIP trunks), databases, APIs, and webhooks.
• Develop and maintain a
  multi-channel chatbot
  (Web, WhatsApp Business API, Telegram) with shared knowledge and policies.
• Ensure reliability and observability: logs, analytics dashboards, testing, and performance improvements.
• Work closely on
  Arabic NLP challenges
  , including dialect handling, entity recognition, and intent classification.
• Deliver production-grade solutions that are
  scalable, optimized for cost and latency
  , and can handle real-world traffic.

Requirements

• Proven experience
  building AI
  Voice Agents or intelligent IVR systems
  (portfolio or demos required).
• Strong background in
  ASR/TTS
  (e.g., Whisper, Vosk, Kaldi, Coqui, Azure, Google, ElevenLabs, Cartesia) with SSML control.
• Hands-on with
  open-source LLM/NLP frameworks
  (Llama, Mistral, Qwen, Rasa, Haystack, LangChain) and RAG.
• Strong coding skills in
  Python or
  , with experience integrating APIs, webhooks, and SQL/NoSQL databases.
• Knowledge of telephony protocols:
  SIP, RTP, DTMF, codecs (G.711/Opus)
  and integration with Asterisk/Issabel.
• Experience working with
  Arabic NLP
  (tokenization, normalization, intent recognition, dialogue design).

Nice to Have

• Experience with
  speaker diarization
  , VAD, and latency optimization.
• Knowledge of
  model compression/quantization
  (GGUF, vLLM, TensorRT-LLM), GPU/CPU deployment, Docker/Kubernetes.
• Integration with WhatsApp Cloud API, Twilio, or 360dialog.
• Experience with compliance and payment integrations in the MENA region.
• Proven ability to evaluate conversational quality and KPIs in production systems.

How to Apply

Please send your
CV + links to previous projects or demos
(voice samples, call recordings, or GitHub repos) to:

phone :

In your email, include:

• Your preferred
  ASR/TTS/LLM stack for Arabic
  and why.
• An approximate
  cost-per-minute estimate
  for your proposed architecture.
• An example of how you previously
  optimized latency and improved performance
  in a real project.

VAM Systems is a Business Consulting, IT Solutions and Services company.

VAM Systems is currently looking for Senior AI & Cloud Systems Developer for our Bahrain operations with the following skillsets & terms and conditions:

Qualification:

· Bachelor's in CS/IT/Engineering

· AWS Certified Solutions Architect & AWS Development expert.

· TensorFlow or equivalent AI/ML certification

· Arabic and English speaker

Years of experience : 8 Years

Expert with

AI/ML Competencies

· Deep learning, reinforcement learning, and large language models (LLMs). Generative AI (LLMs fine-tuning, RAG pipelines, vector databases such as Pinecone, FAISS, or AWS Kendra).

· Computer Vision (OpenCV, AWS Rekognition).

· Natural Language Processing (Hugging Face Transformers, spaCy).

Programming & Frameworks

· Python as a primary language.

· Proficiency with TensorFlow, PyTorch, Scikit-learn, Hugging Face.

· Strong experience in API-first development (REST, GraphQL, OpenAPI).

Cloud Platforms

· AWS (IAM, VPC, Lambda, CloudWatch, S3, SageMaker, ECS/EKS).

· Familiarity with Azure AI/ML services.

· Containerization & orchestration (Docker, Kubernetes).

· Serverless and event-driven architectures (SNS/SQS, Kafka, RabbitMQ).

Data Engineering & Governance

· Building and maintaining data pipelines and ETL processes.

· SQL/NoSQL databases (PostgreSQL, MongoDB).

· Big Data frameworks (Apache Spark, Hadoop, AWS EMR).

· Data governance, quality assurance, and audit readiness.

DevOps/MLOps

· CI/CD pipelines and versioning (Git, GitHub Actions, Jenkins, AWS Code Pipeline). Automated testing, model deployment, and monitoring.

· ML lifecycle management (ML flow, Kubeflow).

Security & Compliance

· Cloud security groups, identity and access management, and data encryption. Compliance with Bahrain NCSC/IGA standards, and awareness of ISO standards (ISO 27001, ISO

· Logging, monitoring, and explain ability of AI models for regulatory audits.

Architecture & Design

· Microservices-based architectures.

· Scalable, high-availability, and secure cloud-native systems.

· System documentation and knowledge transfer

Project & Collaboration

· Agile/Scrum delivery experience.

· Strong documentation, communication, and mentoring skills.

· Ability to work collaboratively with internal developers and transfer knowledge effectively.

Responsibilities:

AI/ML Development & Deployment

· Design, develop, and maintain AI-driven systems integrated with cloud platforms.

· Build, train, fine-tune, and deploy machine learning and large language models (LLMs) for customs and business use cases.

· Ensure robust MLOps practices (model monitoring, retraining, version control).

Cloud Architecture & System Development

· Implement and manage scalable cloud-native architectures (primarily AWS, with exposure to Azure).

· Develop and optimize automated data pipelines ensuring high data quality, governance, and reliability.

· Build microservices and APIs for seamless integration with existing systems and third-party applications.

· Adhere to Customs, Ministry of Interior, and Government of Bahrain UI/UX standards in application design (layout, accessibility, and navigation).

Governance, Compliance & Security

· Ensure compliance with cybersecurity, data protection, and national standards (IGA, NCSC Bahrain, ISO).

· Apply cloud security best practices including identity management, encryption, and secure APIs.

· Prepare systems for audit readiness with proper logging, monitoring, and explain ability of AI models.

Collaboration & Stakeholder Engagement

· Work closely with stakeholders to identify AI-driven opportunities and deliver solutions that add measurable business value.

· Translate business requirements into technical solutions and prototypes.

· Gather and evaluate user feedback to continuously improve systems.

Leadership & Knowledge Sharing

· Mentor and guide junior developers in AI, ML, and cloud best practices.

· Lead training workshops and knowledge-transfer sessions for new systems and enhancements.

· Provide technical documentation, reports, and presentations to management and project committees.

Continuous Improvement & Support

· Troubleshoot, debug, and upgrade existing systems and services.

· Recommend and execute performance and security improvements.

· Stay updated with emerging AI and cloud technologies; adopt best practices in rapid system development.

· Demonstrate adaptability by quickly learning and applying new programming languages and frameworks as needed.

Terms and conditions

Joining time frame: days)

The selected candidates shall join VAM Systems – Bahrain and shall be deputed to one of the leading Organizations in Bahrain.

Should you be interested in this opportunity, please send your latest resume at the earliest