Data Science & AI Engineer
Location: Maadi, Al Qāhirah, Egypt
Department: Technology
Workplace: hybrid
Employment Type: full
Description
We are seeking a motivated AI Engineer to join our dynamic team. This role is ideal for individuals with 1–2 years of practical experience in artificial intelligence and machine learning. As a Junior AI Engineer, you will collaborate closely with senior team members to design, develop, and implement AI solutions that solve complex business challenges. This is a hands-on role that requires a solid understanding of machine learning algorithms, data analysis, and programming skills.
Responsibilities:
* Assist in developing AI models and algorithms based on business requirements.
* Perform data analysis and prepare data sets for model training and validation.
* Implement machine learning pipelines.
* Collaborate with cross-functional teams to integrate AI capabilities into existing systems.
* Conduct experiments to optimize model performance and scalability.
* Stay updated with the latest AI research and technologies.
Requirements
* Bachelor’s degree in Computer Science, Engineering, or a related field.
* 1–2 years of experience in AI, machine learning, or data science roles.
* Proficiency in Python, TensorFlow, PyTorch, or similar tools and frameworks.
* Strong analytical and problem-solving skills.
* Good understanding of data structures, algorithms, and statistical techniques.
* Familiarity with prompt engineering techniques and using LLM APIs (OpenAI, Claude, etc.).
* Basic understanding of RAG (Retrieval-Augmented Generation) pipelines and vector databases (e.g., FAISS, Pinecone).
* Exposure to LLM-based agent frameworks or orchestration tools is a plus.
* Solid understanding of MLOps principles, including model versioning, deployment, monitoring, and CI/CD pipelines for machine learning workflows.
* Excellent communication and teamwork skills.
Preferred Qualifications:
* Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
* Knowledge of natural language processing (NLP) or computer vision (CV) technologies.
* Familiarity with tools like LangChain, LlamaIndex, or Hugging Face Transformers.
* Understanding of embeddings and chunking strategies for document-based AI systems.
* Familiarity with DevOps practices and tools.
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