Capabilities in a range of AI techniques (e.g. GenAI, supervised and un-supervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.).
· Strong communication skills for both presenting work to clients, disseminating complex information in an easy-to-understand form on a day-to-day basis, and managing stakeholders.
· Data Science Platforms - Experience using the latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, PyTorch, MXNet, scikit-learn)
· Cloud platforms - Experience building and deploying solutions to Cloud (AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform).