Finaira
AI

Senior AI Engineer

Finaira · القاهرة, C, EG

Actively hiring Posted 19 days ago

Role overview

The Senior AI Engineer is a senior individual contributor with deep expertise in a specific domain of AI/ML, responsible for tackling the most complex technical challenges, driving architectural decisions for critical AI components, and setting technical standards. This role requires a blend of advanced research understanding and robust engineering skills to bring cutting-edge AI innovations into production.

What we're looking for

Education:

Bachelor’s degree or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field.

Experience:

  • 5+ years of progressive experience in AI/ML engineering, with a proven track record of designing and deploying complex AI systems into production.
  • Demonstrated deep expertise in a specific AI sub-field.

Technical Skills:

  • Expert-level proficiency in Python and advanced ML/DL frameworks (e.g., PyTorch, TensorFlow, JAX).
  • Extensive experience with cloud-native AI/ML services and distributed computing frameworks (e.g., Spark, Ray).
  • Deep understanding and hands-on experience with MLOps best practices, including CI/CD, model serving, and monitoring in production environments.
  • Strong architectural design skills for complex data pipelines and scalable AI inference systems.
  • Proficiency in system design, distributed systems, and performance optimization.
  • Ability to critically evaluate and apply academic research to real-world problems.

Soft Skills:

  • Strong ownership and accountability for assigned work.
  • Clear and professional verbal and written communication.
  • Effective time management and task prioritization. o Analytical thinking and problem-solving skills.
  • Ability to work independently, collaborate effectively and mentor junior team members.
  • Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
  • Adaptability and learning agility in a fast-paced environment.
  • Strong attention to detail and a commitment to quality.
  • Receptiveness to feedback and continuous improvement mindset

Tags & focus areas

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