Research, design and implement Deep Learning models.
Understand user requirements and deploy deep learning solutions to solve complex business problems.
Continuously improve performance, efficiency and scalability of existing models and algorithms.
Establish efficient and automated processes for large scale data analysis of unstructured data.
Implement MLOps processes for continuous improvement in the model lifecycle.
Support development of monitoring and re-training procedures for models in production.
Write production code in Python.
Utilize Azure technologies to build efficient and reusable machine learning pipelines.
Stay up to date with the latest advancements in data science techniques.
Work closely with an international team of Data Scientists, Machine Learning and Software Engineers.
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