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Do you have interested working with Machine Learning or AI technologies?
Can you transform raw data into structured datasets?
About Our Client
A leading Financial Services Institution
- Assist with the Extraction, Loading and Transformation of massive, unstructured datasets.
- Rapidly prototype data collection tools for the quick creation of labelled datasets
- Develop machine learning products, algorithms and intelligence to solve financial and business problems
- Support assigned projects with thorough documentation of usage, design decisions and capabilities
- Present results and findings to various internal and external business stakeholders
The Successful Applicant
- Post-secondary degree in Computer Science, Data Science, Software Engineering, or equivalent
- Have excellent knowledge and industry experience with distributed computing technologies (i.e. Hadoop, Spark, HBase and Hive)
- Have working experience with various layers of the development stack, such as data modelling, API design, application security and/or front-end development
- Have exposure with machine learning frameworks/libraries like sklearn, theano, tensorflow and/or PyTorch.
- Fluent in Python, C++ and/or Java.
What's on Offer
A competitive package