A software engineer, scientific programmer or applied scientific researcher with experience delivering statistical and machine learning models specific to AI.
Knowledgeable in general Bayesian approaches to statistical modeling, including demonstrated experience with Bayesian methods: inference, modeling, etc. Experience of Bayesian networks / Probabilistic Graphical Models specifically will be given very strong preference.
Solid programming skills in Python, and experience with at least one deep learning toolkit such as TensorFlow, Theano, Torch or Keras, as well as numpy and Sci-kit learn.
Experience programming on GPU's is strongly preferred.
Organized and pro-active, with strong attention to detail.
A natural team player, who enjoys working collaboratively with colleagues.
Flexible and adaptable, with a “can do” approach and solid problem-solving skills.
Focused on delivery, with a passion for quality and innovation.
Someone who thrives in a dynamic environment and will contribute to ongoing organisational improvements.