DEPARTMENT: Data & Automation
Location: Egypt
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
.You will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to bring AI-powered solutions to life
YOUR NEW KEY RESPONSIBILITIE
- Part of a team responsible for charting the AI strategy and defining the problems to be solved with AI.
- Create and manage the AI development and production infrastructure to support the AI initiatives.
- Design, develop, and implement AI solutions to solve complex problems in various domains.
- Automate AI infrastructures for the data science and platform teams.
- Built AI models from scratch and helped product managers and other stakeholders with analysis and implementation.
- Transform machine learning models into APIs that can be integrated with other applications.
- Collaborate across teams to help with AI adoption and best practices.
- Analyze and optimize AI solutions for performance and scalability.
- Stay up to date with the latest advancements in AI research and technologies.
- Participate in code and design reviews to maintain a high-quality codebase.
- Communicate effectively with team members and stakeholders to ensure project success.
ARE THESE YOUR SECRET INGREDIENTS
- Bachelor's or master's degree in computer science, Engineering, or a related field.
- 4+ years of experience in AI, machine learning, or deep learning.
- Strong programming skills in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or Keras.
- Experience with Azure AI chatbots, Generative AI, and prompt engineering (Copilot).
- Solid understanding of AI models, neural networks, and machine learning concepts.
- Experience with natural language processing (NLP) and computer vision is a plus.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Proven experience with Azure AI Services, (OpenAI, AI Search, AI speech, AI Document Intelligence, AI translator and AI language).
- Hands-on knowledge on (big) data engineering technologies (e.g., PySpark, Databricks)
- Familiar with CI/CD, (Data) Quality Assurance and MLOps concepts and tools on similar use cases (e.g., Azure Machine Learning, mlflow)
- Hands-on knowledge of DevOps tools (Azure DevOps) supporting an Agile methodology for delivery
- Excellent problem-solving, analytical, and communication skills.
- Ability to work independently and as part of a team. Understanding of Agile methodology and SAFe Agile is appreciated
- Azure certification, such as Azure AI Engineer Associate, is a plus.
ABOUT YOUR NEW TEAM:
We are a family of 33 thousand engaged people. Each and every one of us is the secret ingredient of Coca-Cola HBC one of the world's largest bottlers and partner of The Coca-Cola Company. Our every day 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.
AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
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'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.
