Technical Skills:
● Proficiency in Python, Java, or other relevant programming languages.
● Strong knowledge of AI frameworks such as TensorFlow, PyTorch, or Keras.
● Experience with deep learning architectures (CNNs, RNNs, Transformers) and NLP techniques.
● Familiarity with computer vision libraries (OpenCV, Dlib, etc.).
● Understanding of cloud services (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
Problem-Solving Abilities:
● Excellent analytical skills to tackle complex AI challenges.
● Ability to optimise models for performance, memory usage, and latency.
● Collaborative mindset to work effectively within cross-functional teams.