Artificial Intelligence Engineer

2 weeks ago

Maadi, Egypt ARPU PLUS Full time

Key Responsibilities:

  • 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.

Requirements

Required Skills and Qualifications:

  • Education:
  • A bachelor's or master's degree in computer science, artificial intelligence, machine learning, or a related field.
  • Experience:
  • 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).
  • Technical Skills:
  • 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.

Job Type: Full-time

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