150 Deep Learning Engineer jobs in Egypt
AI Engineer
Posted today
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Job Description
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
AI Engineer
Posted today
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Job Description
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.
Key Responsibilities- 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.
AI Engineer
Posted today
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Job Description
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.
AI Engineer
Posted today
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Job Description
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
.
AI Engineer
Posted today
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Job Description
APPGAIN is seeking an innovative and experienced AI Engineer to join our dynamic team. As an AI Engineer, you will be instrumental in designing, developing, and deploying cutting-edge artificial intelligence and machine learning solutions that address complex business challenges. You will work at the intersection of data science, software engineering, and operations to bring AI models from research to production.
Responsibilities:
- Design, develop, and implement scalable AI models and algorithms using machine learning and deep learning techniques.
- Build and manage robust AI development and production infrastructure, including data pipelines and MLOps workflows.
- Collaborate with data scientists, product managers, and other stakeholders to translate business requirements into AI-driven solutions.
- Integrate AI models into existing software systems and applications, ensuring seamless functionality and performance.
- Conduct statistical analysis and interpret results to optimize AI models and guide decision-making.
- Perform model testing, validation, and debugging to ensure accuracy, reliability, and efficiency.
- Monitor and maintain deployed AI systems, identifying and resolving issues, and continuously optimizing performance.
- Stay up-to-date with the latest advancements in AI research, technologies, and industry best practices.
- Contribute to the adoption of AI best practices across teams and promote a data-driven culture.
- Document machine learning processes, models, and solutions thoroughly.
Qualifications:
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field.
- Proven experience as an AI Engineer, Machine Learning Engineer, or a similar role, with a strong portfolio of deployed AI solutions.
- Proficiency in programming languages commonly used in AI, such as Python (with libraries like TensorFlow, PyTorch, Keras) or Java.
- Solid understanding of machine learning algorithms (e.g., supervised, unsupervised, reinforcement learning) and deep learning neural networks.
- Experience with big data technologies (e.g., Apache Spark, Hadoop, MongoDB) and data processing techniques.
- Strong knowledge of SQL and experience with database modeling and management.
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Ability to work effectively in an agile, fast-paced, and collaborative environment.
- Experience with Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, Kubernetes).
- Experience with prompt engineering for Large Language Models (LLMs).
- Familiarity with software design patterns and principles.
- Contributions to open-source AI projects or relevant publications.
Job Type: part-time
Job Type: Part-time
Expected hours: 20 per week
Education:
- Bachelor's (Preferred)
Experience:
- AI Engineer: 3 years (Preferred)
- machine learning algorithms : 3 years (Preferred)
- big data technologies : 3 years (Preferred)
AI Engineer
Posted today
Job Viewed
Job Description
Job Description
Role Overview
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.
Key Responsibilities
- 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.
Job requirements
Requirements
- 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.
AI Engineer
Posted today
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Job Description
AI Engineer
Purpose of the Job
This role is pivotal in our commitment to leveraging cutting-edge artificial intelligence to advance our mission. This person will be a hands-on professional with a passion for experimenting with emerging AI assistants, large language models (LLMs), and other AI technologies. This role will be responsible for identifying, testing, and integrating these tools into our existing technological infrastructure to enhance our programs, fundraising, streamline operations, and drive data-informed decision-making.
Essential Functions and Responsibilities
- Analyze business processes using the workflow process management function and partner with Data Analysts to evaluate data flows, then proactively identify opportunities to integrate AI solutions that optimize efficiency, automate tasks, and support informed decision-making.
- Research, experiment with, and evaluate emerging AI assistants, generative AI tools, and large language models (LLMs) to determine high-value use cases aligned with organizational goals.
- Design and develop AI prototypes and proof-of-concept integrations to demonstrate how AI tools can be effectively integrated into internal systems to enhance efficiency, automation, and operational workflows.
- Partner with cross-functional teams to identify practical challenges and opportunities where AI can be applied to simplify work, save time, or improve outcomes.
- Build, fine-tune, and deploy ML models tailored to nonprofit-specific use cases such as donor insights, operational automation, and content generation.
- Use advanced Python skills and ML tools to develop and fine-tune AI models for practical applications.
- Implement AI solutions in compliance with ethical standards, including bias mitigation, data privacy, and fairness, and contribute to shaping the organization's AI governance framework.
- Train non-technical staff on basic AI concepts, opportunities, and risks.
- Design and implement AI architecture, model integration strategies, and data pipelines to enable seamless deployment into existing systems.
Required Education, Experience, Knowledge and Skills
- Bachelor's in Artificial Intelligence, Computer Science, Data Science, or a relevant field.
- 1 to 3 of hands-on experience in machine learning, AI engineering, or related fields.
- Hands-on experience working within project teams, supporting the implementation of AI solutions in coordination with technical and non-technical stakeholders.
- Proficiency in written and spoken English.
- Proficiency in Python and core ML frameworks.
- Practical experience with AI/LLM deployment, including Chabot's, assistants, or generative AI.
- Good understanding of data ethics, bias, and responsible AI principles.
- Excellent communication, facilitation, and documentation skills.
- Experience with Customer Relationship Management (CRM) systems and their integration with data and AI workflows.
- Ability to gather, analyze and present information and numerical data effectively, and a demonstrated, high level of accuracy and thoroughness in all duties.
Travel and Working Conditions
- Limited to typical office environment such as walking, sitting, typing, using office equipment, and occasional lifting of boxes or luggage during travel.
- Occasional travel, nationally or internationally, is expected.
- Working out of the official hours and on weekends may be required.
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AI Engineer
Posted today
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Job Description
We're expanding our engineering team and hiring an experienced
AI Engineer
to design, train, and deploy advanced AI solutions. If this isn't your next move, someone in your network might be—
please share this opportunity.
Position:
AI Engineer
Location: 100% Remote – Flexible, work from anywhere
Job Type: Full-time, project-based (3–6 months with possible extension)
Salary: Competitive Salary
Language: Must be fluent in English
Experience Required: 5+ years in AI/ML engineering
Working Hours: Matching Dubai business hours
Start Date: Immediate
Responsibilities
- Design, train, and deliver advanced AI/ML models for real-world applications.
- Research, prototype, and optimize solutions in deep learning, NLP, and LLMs.
- Build scalable workflows for data gathering, preprocessing, and training.
- Collaborate with product managers and engineering teams to define AI-powered features.
- Support full lifecycle of AI products—from ideation to production deployment.
- Ensure responsible AI practices, focusing on bias reduction, fairness, and transparency.
- Stay current with the latest AI advancements, including LLMs and multimodal systems.
Requirements
- Minimum 5 years of professional experience in AI/ML.
- Solid expertise in Python and frameworks like PyTorch, TensorFlow, or JAX.
- Practical experience with NLP, LLMs, or multimodal architectures.
- Strong understanding of MLOps, distributed training, and cloud AI services (AWS, GCP, Azure).
- Hands-on knowledge in data engineering, model deployment, and optimization.
- Proven record of delivering AI systems in production environments.
- Strong analytical, problem-solving, and communication skills.
Why Join Fekra?
ISO-Certified & ISTQB Platinum Partner – Be part of a globally recognized company.
100% Remote – Work from anywhere
Competitive Salary
Exciting Projects – Work on cutting-edge fintech and cloud-based applications.
Career Growth – Enjoy continuous learning and professional development.
Flexible Work Options – Part-time and full-time remote opportunities.
Collaborative Culture – Join a dynamic, supportive, and innovative team.
AI Engineer
Posted today
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Job Description
Company Description
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Role Description
This is a full-time on-site role for an AI Engineer located in Giza. The AI Engineer will be responsible for designing, implementing, and optimizing AI algorithms and models. This includes tasks such as conducting research, developing software solutions, and integrating AI technologies into existing systems. The AI Engineer will also work closely with team members to identify and solve complex problems using machine learning and other AI techniques.
Qualifications
- Experience in Pattern Recognition and Neural Networks
- Strong background in Computer Science and Software Development
- Proficiency in Natural Language Processing (NLP)
- Excellent problem-solving skills and attention to detail
- Ability to work collaboratively in a team environment
- Advanced degree in Computer Science, Artificial Intelligence, or related field is preferred
AI Engineer
Posted today
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Job Description
Company Description
V.Connct is a pioneering company in AI and unified communication within the MENA region. The company leads digital transformation efforts and has successfully connected over 4 million participants worldwide.
Role Description
This is a full-time role for an AI Engineer located onsite in 6th of October. The AI Engineer will be responsible for developing and implementing AI algorithms, working on pattern recognition, neural networks, and natural language processing (NLP). Daily tasks include collaborating with the software development team to integrate AI solutions, conducting research, and analyzing data. The role also involves optimizing models for scalability and performance.
Qualifications
- Strong background in Pattern Recognition and Neural Networks
- Experience in Computer Science and Software Development
- Proficiency in Natural Language Processing (NLP)
- Excellent problem solving and analytical skills
- Strong teamwork and communication abilities
- Bachelor's or Master's degree in Computer Science, AI, or a related field
- Prior experience in AI projects is advantageous.
ملخص الدور ومهمته:
نبحث عن مهندس برمجيات ثوري ومبتكر (3+ سنوات خبرة) ليكون "سفير الابتكار والبحث والتطوير" داخل إحدى فرقنا الرشيقة ("الذرة"). مهمتك هي أن تكون الخبير التقني الذي يضمن أن فريقك يستخدم أحدث وأذكى الأدوات والتقنيات (خاصة الذكاء الاصطناعي والمصادر المفتوحة) لتصميم وبناء منتجات غير تقليدية. ستكون مسؤولاً عن وضع البنية المعمارية للمنتج، وتدريب زملائك، وتحويل الأفكار الإبداعية إلى حلول تقنية قوية.
المسؤوليات الرئيسية:
* تصميم البنية المعمارية (Architecture Design):
* تصميم البنية التقنية للمشاريع والميزات الجديدة، مع التركيز على قابلية التوسع والأمان والأداء.
* البحث المستمر عن أفضل المصادر المفتوحة والتقنيات التي يمكن دمجها لتسريع عملية التطوير.
* قيادة الابتكار والذكاء الاصطناعي:
* العمل كخبير أساسي في استخدام أدوات الذكاء الاصطناعي في كل مراحل التطوير.
* تدريب وتوجيه باقي أعضاء الفريق على كيفية استخدام الأدوات والتقنيات الجديدة بفعالية.
* بناء نماذج أولية سريعة (Prototypes) لاختبار الأفكار المبتكرة.
* ضمان الجودة التقنية:
* العمل كقائد تقني، ومراجعة الكود لضمان التزامه بالبنية المقترحة وأفضل الممارسات.
* المساعدة في حل المشاكل التقنية الأكثر تعقيداً التي تواجه الفريق.
المهارات والمؤهلات المطلوبة:
* 3+ سنوات من الخبرة في هندسة البرمجيات، مع خبرة مثبتة في تصميم البنى المعمارية للأنظمة.
* خبرة عملية عميقة وشغف حقيقي باستخدام أدوات الذكاء الاصطناعي في البرمجة (مثل GitHub Copilot) وهندسة الأوامر (Prompt Engineering).
* معرفة واسعة بالمصادر المفتوحة والقدرة على تقييمها ودمجها بفعالية.
* مهارات قوية في لغات البرمجة والأطر المختلفة (Full Stack Mindset).
* حب التجربة، الفشل السريع، والتعلم المستمر.
* قدرة على تدريب وإلهام الآخرين.