FIND_THE_RIGHTJOB.
AI Engineer
Cairo, Egypt
Key Responsibilities:
Required Skills and Qualifications:
Education:
Experience:
Technical Skills:
- AI Solution Design and Development:
- Designing, developing, and deploying complex AI/ML models and systems
- Selecting and implementing appropriate algorithms and frameworks
- Building scalable and efficient AI pipelines
- Model Training and Evaluation:
- Training and fine-tuning machine learning models using large datasets
- Evaluating model performance and optimizing for accuracy and efficiency
- Implementing model monitoring and retraining strategies
- Software Development and Integration:
- Integrating AI models into existing software systems
- Developing APIs and other interfaces for AI services
- Writing clean, efficient, and well-documented code
- Research and Innovation:
- Staying up-to-date with the latest AI research and trends
- Exploring and evaluating new AI technologies and techniques
- Contributing to research and development efforts
- Leadership and Collaboration:
- Leading and mentoring junior AI engineers
- Collaborating with cross-functional teams, including data scientists, software engineers, and product managers
- Communicating complex technical concepts to non-technical stakeholders
- Solution Architecture:
-
Designing the architecture of AI powered solutions, insuring scalability, and reliability
Required Skills and Qualifications:
- A bachelor's or master's degree in computer science, artificial intelligence, machine learning, or a related field
- Significant experience in AI/ML development, typically 5+ years
- Proven track record of deploying AI solutions in production environments
- Experience with deep learning frameworks (TensorFlow, PyTorch, etc.)
- Experience with cloud platforms (AWS, Azure, GCP)
- Proficiency in programming languages such as Python, Java, or C++
- Strong understanding of machine learning algorithms and deep learning techniques.
- Experience with natural language processing (NLP), computer vision, or other AI subfields
- Knowledge of data engineering principles and practices
- Familiarity with containerization and orchestration tools (Docker, Kubernetes).
- Soft Skills:
- Strong problem-solving and analytical skills
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a team.
- Leadership qualities
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