or Java, and their associated security considerations. Previous experience with ML, LLM, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn is desirable. Experience in implementing secure coding practices, DevOps, CI/CD pipelines and familiarity with secure software development life cycle more »
or Java, and their associated security considerations. Previous experience with ML, LLM, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn is desirable. Experience in implementing secure coding practices, DevOps, CI/CD pipelines and familiarity with secure software development life cycle more »
using techniques such as machine learning, deep learning, natural language processing, computer vision, etc. Knowledge of multiple AI frameworks and platforms, such as TensorFlow, PyTorch, Keras, Azure AI, AWS Sagemaker and Bedrock, etc. Experience of designing and deploying Generative-AI based solutions Knowledge of AI architectures, patterns, and best practices more »
to demonstrate that you have: A PhD or similar Post-Graduate qualification in a relevant field Experience with one or more Deep Learning framework (PyTorch preferred) for Graph-based AI High proficiency in one or more programming languages (Python preferred) A track record of writing academic publications Excellent written and more »
