maintenance engineer

chief engineer

production engineer

project engineer

senior electrical engineer

ai engineer

Coca-Cola HBC

<div>
 <p>
  <strong>
   Department: Data &amp; Automation
  </strong>
 </p>
 <p>
  <strong>
   Location: New Cairo, Egypt
  </strong>
 </p>
 <p>
  <strong>
   Purpose of the Role
  </strong>
 </p>
 <p>
  We are seeking a talented and motivated Artificial Intelligence (AI) Engineer to join our growing DTPS AI team. As an AI Engineer, you will be responsible for designing and developing AI applications and systems that drive innovation and improve our existing products and services. You will focus on developing the tools, systems, and processes that enable artificial intelligence to be applied in the real world. Any application where machines mimic human functions, such as solving problems and learning, can be considered artificial intelligence.
 </p>
 <p>
  You will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to bring AI-powered solutions to life.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   YOUR NEW KEY RESPONSIBILITIES
  </strong>
 </p>
 <ul>
  <li>
   Part of a team responsible for charting the AI strategy and defining the problems to be solved with AI
  </li>
  <li>
   Create and manage the AI development and production infrastructure to support the AI initiatives
  </li>
  <li>
   Design, develop, and implement AI solutions to solve complex problems in various domains
  </li>
  <li>
   Automate AI infrastructures for the data science and platform teams
  </li>
  <li>
   Built AI models from scratch and helped product managers and other stakeholders with analysis and implementation
  </li>
  <li>
   Transform machine learning models into APIs that can be integrated with other applications
  </li>
  <li>
   Collaborate across teams to help with AI adoption and best practices
  </li>
  <li>
   Analyze and optimize AI solutions for performance and scalability
  </li>
  <li>
   Stay up to date with the latest advancements in AI research and technologies
  </li>
  <li>
   Participate in code and design reviews to maintain a high-quality codebase
  </li>
  <li>
   Communicate effectively with team members and stakeholders to ensure project success
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ARE THESE YOUR SECRET INGREDIENT
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or master&rsquo;s degree in computer science, Engineering, or a related field.
  </li>
  <li>
   2 - 4 years of experience in AI, machine learning, or deep learning.
  </li>
  <li>
   Strong programming skills in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or Keras.
  </li>
  <li>
   Experience with Azure AI chatbots, Generative AI, and prompt engineering (Copilot).
  </li>
  <li>
   Solid understanding of AI models, neural networks, and machine learning concepts.
  </li>
  <li>
   Experience with natural language processing (NLP) and computer vision is a plus.
  </li>
  <li>
   Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  </li>
  <li>
   Proven experience with Azure AI Services, (OpenAI, AI Search, AI speech, AI Document Intelligence, AI translator and AI language).
  </li>
  <li>
   Hands-on knowledge on (big) data engineering technologies (e.g., PySpark, Databricks)
  </li>
  <li>
   Familiar with CI/CD, (Data) Quality Assurance and MLOps concepts and tools on similar use cases (e.g., Azure Machine Learning, mlflow)
  </li>
  <li>
   Hands-on knowledge of DevOps tools (Azure DevOps) supporting an Agile methodology for delivery
  </li>
  <li>
   Excellent problem-solving, analytical, and communication skills.
  </li>
  <li>
   Ability to work independently and as part of a team. Understanding of Agile methodology and SAFe Agile is appreciated
  </li>
  <li>
   Azure certification, such as Azure AI Engineer Associate, is a plus.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ABOUT YOUR NEW TEAM:
  </strong>
 </p>
 <p>
  We are a family of 33 thousand engaged people. Each and every one of us is the secret ingredient of Coca-Cola HBC &ndash; one of the world&rsquo;s largest bottlers and partner of The Coca-Cola Company. Our everyday mission is to delight over 715 million consumers by offering a choice of over 100 iconic global and favorite local brands in the moments that matter, 24 hours a day, 7 days a week. We are a truly empowered and talented team that drives superior results by winning and learning every day in 29 countries, across 3 continents. Our success comes from us working together as one to make a positive difference for the local communities we serve.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
  </strong>
 </p>
 <p>
  Including and celebrating different people and opinions is embedded in our growth story. We are committed to fostering diverse teams that reflect the communities we serve, and to creating an inclusive environment where everyone&rsquo;s unique perspectives are valued and heard. By constantly building a diverse and inclusive workplace, we enrich our decision-making and provide ever more innovative solutions and shared value.
 </p>
</div>


AI Engineer

The Coca-Cola Company

<div><div><div><div><div><div><div><div>Egypt
</div></div></div></div><div><div><div>Information Technology
</div></div></div><div><div><div>Hybrid
</div></div></div><div><div><div>Experienced Professionals
</div></div></div></div></div></div><p></p><div><div><div><div><div><p><b>Department: Data &amp; Automation</b></p><p><b>
Location: New Cairo, Egypt</b></p><p><b>
Purpose of the Role</b><br>
We are seeking a talented and motivated Artificial Intelligence (AI) Engineer to join our growing DTPS AI team. As an AI Engineer, you will be responsible for designing and developing AI applications and systems that drive innovation and improve our existing products and services. You will focus on developing the tools, systems, and processes that enable artificial intelligence to be applied in the real world. Any application where machines mimic human functions, such as solving problems and learning, can be considered artificial intelligence.
</p><p>You will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to bring AI-powered solutions to life.</p><p><b>
YOUR NEW KEY RESPONSIBILITIES:</b></p><ul><li>
Part of a team responsible for charting the AI strategy and defining the problems to be solved with AI</li><li>
Create and manage the AI development and production infrastructure to support the AI initiatives</li><li>
Design, develop, and implement AI solutions to solve complex problems in various domains</li><li>
Automate AI infrastructures for the data science and platform teams.</li><li>
Built AI models from scratch and helped product managers and other stakeholders with analysis and implementation.</li><li>
Transform machine learning models into APIs that can be integrated with other applications.</li><li>
Collaborate across teams to help with AI adoption and best practices.</li><li>
Analyze and optimize AI solutions for performance and scalability.</li><li>
Stay up to date with the latest advancements in AI research and technologies.</li><li>
Participate in code and design reviews to maintain a high-quality codebase.</li><li>
 Communicate effectively with team members and stakeholders to ensure project success.</li></ul><p></p><p><b><br>
ARE THESE YOUR SECRET INGREDIENTS?</b></p><p></p><ul><li>
Bachelor&rsquo;s or master&rsquo;s degree in computer science, Engineering, or a related field.</li><li>
2 - 4 years of experience in AI, machine learning, or deep learning.</li><li>
Strong programming skills in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or Keras.</li><li>
 Experience with Azure AI chatbots, Generative AI, and prompt engineering (Copilot).</li><li>
Solid understanding of AI models, neural networks, and machine learning concepts.</li><li>
Experience with natural language processing (NLP) and computer vision is a plus.</li><li>
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.</li><li>
Proven experience with Azure AI Services, (OpenAI, AI Search, AI speech, AI Document Intelligence, AI translator and AI language).</li><li>
Hands-on knowledge on (big) data engineering technologies (e.g., PySpark, Databricks</li><li>
Familiar with CI/CD, (Data) Quality Assurance and MLOps concepts and tools on similar use cases (e.g., Azure Machine Learning, mlflow)</li><li>
Hands-on knowledge of DevOps tools (Azure DevOps) supporting an Agile methodology for delivery</li><li>
Excellent problem-solving, analytical, and communication skills.</li><li>
Ability to work independently and as part of a team. Understanding of Agile methodology and SAFe Agile is appreciated</li><li>
Azure certification, such as Azure AI Engineer Associate, is a plus.</li></ul><p></p><p><b><br>
ABOUT YOUR NEW TEAM:</b></p><p>
We are a family of 33 thousand engaged people. Each and every one of us is the secret ingredient of Coca-Cola HBC &ndash; one of the world&rsquo;s largest bottlers and partner of The Coca-Cola Company. Our everyday mission is to delight over 715 million consumers by offering a choice of over 100 iconic global and favorite local brands in the moments that matter, 24 hours a day, 7 days a week. We are a truly empowered and talented team that drives superior results by winning and learning every day in 29 countries, across 3 continents. Our success comes from us working together as one to make a positive difference for the local communities we serve.</p><p><b>
AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE</b></p><p>
Including and celebrating different people and opinions is embedded in our growth story. We are committed to fostering diverse teams that reflect the communities we serve, and to creating an inclusive environment where everyone&rsquo;s unique perspectives are valued and heard. By constantly building a diverse and inclusive workplace, we enrich our decision-making and provide ever more innovative solutions and shared value.</p><br>
<p></p>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Benefits
</b></h3></div></div><div><div><div><div><div>Coaching and mentoring programs</div>
</div></div><div><div><div>Development opportunities</div>
</div></div><div><div><div>Equal opportunity employer</div>
</div></div><div><div><div>IT Equipment</div>
</div></div><div><div><div>Learning programs</div>
</div></div><div><div><div>Work with iconic brands</div>
</div></div><div><div><div>Supportive team</div>
</div></div><div><div><div>Volunteering Opportunities</div></div></div></div></div></div></div>

FlairsTech

<div><div><div><div><p>Requirements and responsibilities</p><div><p>
We&rsquo;re seeking a AI Engineer to design, develop, and deploy AI and machine learning solutions for real-world business needs. This role requires strong experience working with both custom-built and pre-trained models&mdash;spanning LLMs, computer vision, NLP, and traditional ML&mdash;and delivering them into production through APIs, web applications, or microservices.</p><h3 class="jobSectionHeader"><b>
Responsibilities</b></h3><p>
Build, train, and deploy machine learning and AI models across supervised, unsupervised, and deep learning workflows.</p><p>
Integrate and fine-tune pre-trained models (LLMs, vision, NLP) from platforms such as OpenAI, Anthropic, AWS Bedrock, Azure AI, and Hugging Face.</p><p>
Develop end-to-end ML pipelines covering data processing, model training, and inference.</p><p>
Create APIs, web applications, and microservices to serve models in production environments.</p><p>
Work closely with data and software engineering teams to deliver scalable, maintainable systems.</p><p>
Optimize models for performance, latency, scalability, and cost.</p><p>
Implement model evaluation, monitoring, and performance tracking.</p><p>
Stay updated on emerging AI tools, frameworks, and techniques.</p><h3 class="jobSectionHeader"><b>
Requirements</b></h3><p>
Demonstrated experience developing and deploying ML models (regression, classification, NLP, computer vision).</p><p>
Strong proficiency in Python and major ML/DL frameworks such as PyTorch, TensorFlow, or Keras.</p><p>
Hands-on experience with AI APIs and SDKs (OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, etc.).</p><p>
Ability to build RESTful APIs, web apps, or microservices using FastAPI, Flask, or Django.</p><p>
Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).</p><p>
Experience with semantic databases (Neo4j, RDF stores, knowledge graphs) and relational databases (PostgreSQL, MySQL).</p><p>
Solid understanding of version control, model evaluation, and deployment best practices.</p><h3 class="jobSectionHeader"><b>
Preferred</b></h3><p>
Experience with MLOps workflows (CI/CD, model registries, monitoring, governance).</p><p>
Knowledge of data orchestration tools (Airflow, Prefect, Kafka).</p><p>
Exposure to vector databases (FAISS, Pinecone, Weaviate) and RAG architectures.</p><p>
Familiarity with prompt engineering or LLM fine-tuning.</p><p>
Experience building AI-driven applications such as chatbots or recommendation engines.</p></div></div></div></div></div><div></div>

Tarjama&

<div><p><b>Job Purpose</b></p><p>
As a Senior AI Engineer at Tarjama&amp;, you will be responsible for designing, building, and deploying advanced AI systems that power language, document, and speech intelligence across our products. You will translate complex business and product needs into scalable, high-quality AI solutions, ensure their reliability in production, and continuously optimize their performance, accuracy, and cost-efficiency.</p><p>
You will play a key role in shaping Tarjama&amp;&rsquo;s AI architecture and best practices, collaborating closely with product, engineering, and data teams to deliver impactful, real-world AI applications that enhance our localization, content, and technology solutions.</p><p></p><p><b>
Duties &amp; Responsibilities</b></p><p>
Multimodal AI Development</p><ul><li>
Develop and integrate text-based AI systems, including LLM pipelines, embeddings, rerankers, and scalable RAG architectures.</li><li>
Build and optimize document understanding systems using OCR, layout-aware vision models, and multimodal reasoning.</li><li>
Develop speech-based AI solutions, including STT, TTS, and conversational voice agents.</li><li>
Design and deploy multilingual and translation pipelines, ensuring quality, latency, and scalability across languages.</li></ul><p>
AI Product Development &amp; Deployment</p><ul><li>
Own the development of AI-powered features from concept through production, aligning solutions with product and business goals.</li><li>
Deploy, monitor, and optimize AI systems in production environments, ensuring reliability, scalability, and cost-efficiency.</li><li>
Collaborate closely with software engineering teams to integrate AI components into secure, maintainable, and scalable architectures.</li><li>
Implement observability, logging, and monitoring to support continuous improvement of AI systems.</li></ul><p>
Model Evaluation &amp; Optimization</p><ul><li>
Define evaluation strategies and metrics for multimodal AI systems, including accuracy, latency, robustness, and user impact.</li><li>
Benchmark, fine-tune, and optimize models for inference performance, cost-efficiency, and scalability.</li><li>
Conduct experimentation and A/B testing to validate model and system improvements.</li><li>
Identify and mitigate model failure modes, biases, and performance regressions.</li></ul><p>
AI Agentic Workflows &amp; Frameworks</p><ul><li>
Design, implement, and maintain AI agentic workflows that orchestrate language, vision, and speech models to solve multi-step, real-world tasks.</li><li>
Build and extend task-driven, tool-using AI agents using modern agent frameworks and orchestration patterns.</li><li>
Implement decision logic, memory strategies (short-term, long-term, vector-based), and tool-calling mechanisms for production-grade AI systems.</li><li>
Improve agent reliability through structured prompting, planning strategies, and error-handling mechanisms.</li></ul><p>
Data Processing &amp; Pipeline Management</p><ul><li>
Design, implement, and maintain data pipelines for text, document, and audio data used in training, evaluation, and inference.</li><li>
Ensure data quality, governance, and security in collaboration with data and platform teams.</li><li>
Analyze model outputs and user interactions to drive iterative improvements in system performance.</li></ul><p>
Cross-Functional Collaboration</p><ul><li>
Work with product managers, designers, and engineers to translate requirements into robust AI solutions.</li><li>
Partner with senior engineers on system design decisions and technical direction.</li><li>
Provide technical guidance during integration, testing, and production rollout phases.</li></ul><p>
Documentation &amp; Knowledge Sharing</p><ul><li>
Maintain comprehensive documentation for AI architectures, agent designs, prompts, and evaluation frameworks.</li><li>
Share knowledge and best practices with peers through reviews, demos, and internal documentation.</li><li>
Contribute to improving team standards for AI development and deployment.</li></ul><p></p><p><b>
Education, Experience &amp; Qualifications</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field.</li><li>
3-5 years of hands-on experience building and deploying production-grade AI/ML systems, with a strong focus on LLMs, NLP, and multimodal AI (text, vision, and/or speech).</li><li>
Proven experience developing AI agentic systems using LLMs, including task orchestration, tool/function calling, planning strategies, and short- and long-term memory (e.g., vector stores).</li><li>
Strong proficiency in Python, with practical experience using PyTorch and/or TensorFlow for model development, fine-tuning, and optimization.</li><li>
Demonstrated experience designing and scaling RAG architectures, search pipelines, embeddings, rerankers, and multimodal applications.</li><li>
Hands-on experience with document understanding systems, including OCR, layout-aware models, and vision-language reasoning, is highly desirable.</li><li>
Experience building or integrating speech-based AI systems (STT, TTS, conversational voice agents) and/or multilingual and translation pipelines is a strong plus.</li><li>
Solid understanding of model evaluation and optimization, including defining metrics, benchmarking, latency/cost optimization, A/B testing, and identifying failure modes or bias.</li><li>
Experience deploying AI systems using APIs, microservices, and cloud-based infrastructures, with familiarity in observability, logging, and monitoring best practices.</li><li>
Working knowledge of prompt engineering, fine-tuning strategies, and inference optimization for reliable, production-grade AI systems.</li><li>
Strong analytical and problem-solving skills, with a product-oriented mindset and passion for applying AI to real-world problems.</li><li>
Experience applying AI in regulated or domain-specific industries (e.g., legal, finance, enterprise) is a plus.</li><li>
Fluency in both English and Arabic is essential, with the ability to work in bilingual product and technical contexts.</li></ul><p></p><p><b>
Behavioral Competencies</b></p><ul><li>
Adaptability</li><li>
Problem Solving</li><li>
Initiative</li><li>
Team Oriented</li><li>
Ability to work under pressure</li></ul><p></p><p><b>
Technical Competencies</b></p><ul><li>
LLM Development &amp; Fine-Tuning</li><li>
Natural Language Processing (NLP) &amp; Generative AI</li><li>
AI Agent &amp; Workflow Automation</li><li>
Machine Learning Engineering</li></ul></div>

Senior AI Engineer

<div>
 <strong>
  Job Purpose
  <br/>
  <br/>
 </strong>
 As a Senior AI Engineer at Tarjama&amp;, you will be responsible for designing, building, and deploying advanced AI systems that power language, document, and speech intelligence across our products. You will translate complex business and product needs into scalable, high-quality AI solutions, ensure their reliability in production, and continuously optimize their performance, accuracy, and cost-efficiency.
 <br/>
 <br/>
 You will play a key role in shaping Tarjama&amp;'s AI architecture and best practices, collaborating closely with product, engineering, and data teams to deliver impactful, real-world AI applications that enhance our localization, content, and technology solutions.
 <br/>
 <br/>
 <strong>
  Duties &amp; Responsibilities
  <br/>
  <br/>
 </strong>
 Multimodal AI Development
 <br/>
 <br/>
 <ul>
  <li>
   Develop and integrate text-based AI systems, including LLM pipelines, embeddings, rerankers, and scalable RAG architectures.
  </li>
  <li>
   Build and optimize document understanding systems using OCR, layout-aware vision models, and multimodal reasoning.
  </li>
  <li>
   Develop speech-based AI solutions, including STT, TTS, and conversational voice agents.
  </li>
  <li>
   Design and deploy multilingual and translation pipelines, ensuring quality, latency, and scalability across languages.
   <br/>
   <br/>
  </li>
 </ul>
 AI Product Development &amp; Deployment
 <br/>
 <br/>
 <ul>
  <li>
   Own the development of AI-powered features from concept through production, aligning solutions with product and business goals.
  </li>
  <li>
   Deploy, monitor, and optimize AI systems in production environments, ensuring reliability, scalability, and cost-efficiency.
  </li>
  <li>
   Collaborate closely with software engineering teams to integrate AI components into secure, maintainable, and scalable architectures.
  </li>
  <li>
   Implement observability, logging, and monitoring to support continuous improvement of AI systems.
   <br/>
   <br/>
  </li>
 </ul>
 Model Evaluation &amp; Optimization
 <br/>
 <br/>
 <ul>
  <li>
   Define evaluation strategies and metrics for multimodal AI systems, including accuracy, latency, robustness, and user impact.
  </li>
  <li>
   Benchmark, fine-tune, and optimize models for inference performance, cost-efficiency, and scalability.
  </li>
  <li>
   Conduct experimentation and A/B testing to validate model and system improvements.
  </li>
  <li>
   Identify and mitigate model failure modes, biases, and performance regressions.
   <br/>
   <br/>
  </li>
 </ul>
 AI Agentic Workflows &amp; Frameworks
 <br/>
 <br/>
 <ul>
  <li>
   Design, implement, and maintain AI agentic workflows that orchestrate language, vision, and speech models to solve multi-step, real-world tasks.
  </li>
  <li>
   Build and extend task-driven, tool-using AI agents using modern agent frameworks and orchestration patterns.
  </li>
  <li>
   Implement decision logic, memory strategies (short-term, long-term, vector-based), and tool-calling mechanisms for production-grade AI systems.
  </li>
  <li>
   Improve agent reliability through structured prompting, planning strategies, and error-handling mechanisms.
   <br/>
   <br/>
  </li>
 </ul>
 Data Processing &amp; Pipeline Management
 <br/>
 <br/>
 <ul>
  <li>
   Design, implement, and maintain data pipelines for text, document, and audio data used in training, evaluation, and inference.
  </li>
  <li>
   Ensure data quality, governance, and security in collaboration with data and platform teams.
  </li>
  <li>
   Analyze model outputs and user interactions to drive iterative improvements in system performance.
   <br/>
   <br/>
  </li>
 </ul>
 Cross-Functional Collaboration
 <br/>
 <br/>
 <ul>
  <li>
   Work with product managers, designers, and engineers to translate requirements into robust AI solutions.
  </li>
  <li>
   Partner with senior engineers on system design decisions and technical direction.
  </li>
  <li>
   Provide technical guidance during integration, testing, and production rollout phases.
   <br/>
   <br/>
  </li>
 </ul>
 Documentation &amp; Knowledge Sharing
 <br/>
 <br/>
 <ul>
  <li>
   Maintain comprehensive documentation for AI architectures, agent designs, prompts, and evaluation frameworks.
  </li>
  <li>
   Share knowledge and best practices with peers through reviews, demos, and internal documentation.
  </li>
  <li>
   Contribute to improving team standards for AI development and deployment
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Education, Experience &amp; Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field.
  </li>
  <li>
   3-5 years of hands-on experience building and deploying production-grade AI/ML systems, with a strong focus on LLMs, NLP, and multimodal AI (text, vision, and/or speech).
  </li>
  <li>
   Proven experience developing AI agentic systems using LLMs, including task orchestration, tool/function calling, planning strategies, and short- and long-term memory (e.g., vector stores).
  </li>
  <li>
   Strong proficiency in Python, with practical experience using PyTorch and/or TensorFlow for model development, fine-tuning, and optimization.
  </li>
  <li>
   Demonstrated experience designing and scaling RAG architectures, search pipelines, embeddings, rerankers, and multimodal applications.
  </li>
  <li>
   Hands-on experience with document understanding systems, including OCR, layout-aware models, and vision-language reasoning, is highly desirable.
  </li>
  <li>
   Experience building or integrating speech-based AI systems (STT, TTS, conversational voice agents) and/or multilingual and translation pipelines is a strong plus.
  </li>
  <li>
   Solid understanding of model evaluation and optimization, including defining metrics, benchmarking, latency/cost optimization, A/B testing, and identifying failure modes or bias.
  </li>
  <li>
   Experience deploying AI systems using APIs, microservices, and cloud-based infrastructures, with familiarity in observability, logging, and monitoring best practices.
  </li>
  <li>
   Working knowledge of prompt engineering, fine-tuning strategies, and inference optimization for reliable, production-grade AI systems.
  </li>
  <li>
   Strong analytical and problem-solving skills, with a product-oriented mindset and passion for applying AI to real-world problems.
  </li>
  <li>
   Experience applying AI in regulated or domain-specific industries (e.g., legal, finance, enterprise) is a plus.
  </li>
  <li>
   Fluency in both English and Arabic is essential, with the ability to work in bilingual product and technical contexts.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Behavioral Competencies
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Adaptability
  </li>
  <li>
   Problem Solving
  </li>
  <li>
   Initiative
  </li>
  <li>
   Team Oriented
  </li>
  <li>
   Ability to work under pressure
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Competencies
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   LLM Development &amp; Fine-Tuning
  </li>
  <li>
   Natural Language Processing (NLP) &amp; Generative AI
  </li>
  <li>
   AI Agent &amp; Workflow Automation
  </li>
  <li>
   Machine Learning Engineering
  </li>
 </ul>
</div>


<div><div><div><div><div><div><div><div>Egypt
</div></div></div></div><div><div><div>Information Technology
</div></div></div><div><div><div>Hybrid
</div></div></div><div><div><div>Experienced Professionals
</div></div></div></div></div></div><div><div><div><div><div><p><b>Department: Data &amp; Automation</b></p><p><b>
Location: New Cairo, Egypt</b></p><p><b>
Purpose of the Role</b><br>
We are seeking a talented and motivated Artificial Intelligence (AI) Engineer to join our growing DTPS AI team. As an AI Engineer, you will be responsible for designing and developing AI applications and systems that drive innovation and improve our existing products and services. You will focus on developing the tools, systems, and processes that enable artificial intelligence to be applied in the real world. Any application where machines mimic human functions, such as solving problems and learning, can be considered artificial intelligence.
</p><p>You will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to bring AI-powered solutions to life.</p><p><b>
YOUR NEW KEY RESPONSIBILITIES:</b></p><ul><li>
Part of a team responsible for charting the AI strategy and defining the problems to be solved with AI.</li><li>
Create and manage the AI development and production infrastructure to support the AI initiatives.</li><li>
Design, develop, and implement AI solutions to solve complex problems in various domains.</li><li>
Automate AI infrastructures for the data science and platform teams.</li><li>
Built AI models from scratch and helped product managers and other stakeholders with analysis and implementation.</li><li>
Transform machine learning models into APIs that can be integrated with other applications.</li><li>
Collaborate across teams to help with AI adoption and best practices.</li><li>
Analyze and optimize AI solutions for performance and scalability.</li><li>
Stay up to date with the latest advancements in AI research and technologies.</li><li>
Participate in code and design reviews to maintain a high-quality codebase.</li><li>
Communicate effectively with team members and stakeholders to ensure project success.</li></ul><p></p><div><p><b><br>
ARE THESE YOUR SECRET INGREDIENTS</b>
</p><p></p><ul><li>Bachelor&rsquo;s or master&rsquo;s degree in computer science, Engineering, or a related field.</li><li>
1- 2 years of experience in AI, machine learning, or deep learning.</li><li>
Strong programming skills in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or Keras.</li><li>
 Experience with Azure AI chatbots, Generative AI, and prompt engineering (Copilot).</li><li>
Solid understanding of AI models, neural networks, and machine learning concepts.</li><li>
Experience with natural language processing (NLP) and computer vision is a plus.</li><li>
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.</li><li>
Experience with Azure AI Services, (OpenAI, AI Search, AI speech, AI Document Intelligence, AI translator and AI language) is a plus.</li><li>
Hands-on knowledge on (big) data engineering technologies (e.g., PySpark, Databricks</li><li>
Familiar with CI/CD, (Data) Quality Assurance and MLOps concepts and tools on similar use cases (e.g., Azure Machine Learning, mlflow)</li><li>
Hands-on knowledge of DevOps tools (Azure DevOps) supporting an Agile methodology for delivery</li><li>
Excellent problem-solving, analytical, and communication skills.</li><li>
Ability to work independently and as part of a team. Understanding of Agile methodology and SAFe Agile is appreciated</li><li>
Azure certification, such as Azure AI Engineer Associate, is a plus.</li></ul></div><div><div><p><b>
ABOUT YOUR NEW TEAM:</b></p></div><div><p>
We are a family of 33 thousand engaged people. Each and every one of us is the secret ingredient of Coca-Cola HBC &ndash; one of the world&rsquo;s largest bottlers and partner of The Coca-Cola Company. Our everyday mission is to delight over 715 million consumers by offering a choice of over 100 iconic global and favorite local brands in the moments that matter, 24 hours a day, 7 days a week. We are a truly empowered and talented team that drives superior results by winning and learning every day in 29 countries, across 3 continents. Our success comes from us working together as one to make a positive difference for the local communities we serve.</p></div><div><p><b>
AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE</b></p></div><div><p>
Including and celebrating different people and opinions is embedded in our growth story. We are committed to fostering diverse teams that reflect the communities we serve, and to creating an inclusive environment where everyone&rsquo;s unique perspectives are valued and heard. By constantly building a diverse and inclusive workplace, we enrich our decision-making and provide ever more innovative solutions and shared value.</p></div></div><br>
<p></p>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Benefits
</b></h3></div></div><div><div><div><div><div>Coaching and mentoring programs</div>
</div></div><div><div><div>Development opportunities</div>
</div></div><div><div><div>Equal opportunity employer</div>
</div></div><div><div><div>IT Equipment</div>
</div></div><div><div><div>Learning programs</div>
</div></div><div><div><div>Work with iconic brands</div>
</div></div><div><div><div>Supportive team</div>
</div></div><div><div><div>Volunteering Opportunities</div></div></div></div></div></div></div>

Junior AI Engineer

<div>
 <br/>
 <p>
  <strong>
   Department: Data &amp; Automation
  </strong>
 </p>
 <p>
  <strong>
   Location: New Cairo, Egypt
  </strong>
 </p>
 <p>
  <strong>
   Purpose of the Role
  </strong>
 </p>
 <p>
  We are seeking a talented and motivated Artificial Intelligence (AI) Engineer to join our growing DTPS AI team. As an AI Engineer, you will be responsible for designing and developing AI applications and systems that drive innovation and improve our existing products and services. You will focus on developing the tools, systems, and processes that enable artificial intelligence to be applied in the real world. Any application where machines mimic human functions, such as solving problems and learning, can be considered artificial intelligence.
 </p>
 <p>
  You will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to bring AI-powered solutions to life.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   YOUR NEW KEY RESPONSIBILITIES:
  </strong>
 </p>
 <ul>
  <li>
   Part of a team responsible for charting the AI strategy and defining the problems to be solved with AI.
  </li>
  <li>
   Create and manage the AI development and production infrastructure to support the AI initiatives.
  </li>
  <li>
   Design, develop, and implement AI solutions to solve complex problems in various domains.
  </li>
  <li>
   Automate AI infrastructures for the data science and platform teams.
  </li>
  <li>
   Built AI models from scratch and helped product managers and other stakeholders with analysis and implementation.
  </li>
  <li>
   Transform machine learning models into APIs that can be integrated with other applications.
  </li>
  <li>
   Collaborate across teams to help with AI adoption and best practices.
  </li>
  <li>
   Analyze and optimize AI solutions for performance and scalability.
  </li>
  <li>
   Stay up to date with the latest advancements in AI research and technologies.
  </li>
  <li>
   Participate in code and design reviews to maintain a high-quality codebase.
  </li>
  <li>
   Communicate effectively with team members and stakeholders to ensure project success.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ARE THESE YOUR SECRET INGREDIENTS?
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or master&rsquo;s degree in computer science, Engineering, or a related field.
  </li>
  <li>
   1 - 2 years of experience in AI, machine learning, or deep learning.
  </li>
  <li>
   Strong programming skills in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or Keras.
  </li>
  <li>
   Experience with Azure AI chatbots, Generative AI, and prompt engineering (Copilot).
  </li>
  <li>
   Solid understanding of AI models, neural networks, and machine learning concepts.
  </li>
  <li>
   Experience with natural language processing (NLP) and computer vision is a plus.
  </li>
  <li>
   Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  </li>
  <li>
   Experience with Azure AI Services, (OpenAI, AI Search, AI speech, AI Document Intelligence, AI translator and AI language) is a plus.
  </li>
  <li>
   Hands-on knowledge on (big) data engineering technologies (e.g., PySpark, Databricks)
  </li>
  <li>
   Familiar with CI/CD, (Data) Quality Assurance and MLOps concepts and tools on similar use cases (e.g., Azure Machine Learning, mlflow)
  </li>
  <li>
   Hands-on knowledge of DevOps tools (Azure DevOps) supporting an Agile methodology for delivery
  </li>
  <li>
   Excellent problem-solving, analytical, and communication skills.
  </li>
  <li>
   Ability to work independently and as part of a team. Understanding of Agile methodology and SAFe Agile is appreciated
  </li>
  <li>
   Azure certification, such as Azure AI Engineer Associate, is a plus.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ABOUT YOUR NEW TEAM:
  </strong>
 </p>
 <p>
  We are a family of 33 thousand engaged people. Each and every one of us is the secret ingredient of Coca-Cola HBC &ndash; one of the world&rsquo;s largest bottlers and partner of The Coca-Cola Company. Our everyday mission is to delight over 715 million consumers by offering a choice of over 100 iconic global and favorite local brands in the moments that matter, 24 hours a day, 7 days a week. We are a truly empowered and talented team that drives superior results by winning and learning every day in 29 countries, across 3 continents. Our success comes from us working together as one to make a positive difference for the local communities we serve.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
  </strong>
 </p>
 <p>
  Including and celebrating different people and opinions is embedded in our growth story. We are committed to fostering diverse teams that reflect the communities we serve, and to creating an inclusive environment where everyone&rsquo;s unique perspectives are valued and heard. By constantly building a diverse and inclusive workplace, we enrich our decision-making and provide ever more innovative solutions and shared value.
 </p>
 <p>
  <br/>
 </p>
</div>


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