Machine Learning Engineer (Jnr - Mid)

SUMMARY:
Join a Large Enterprise in an ML position

POSITION INFO:

Machine Learning Engineer

Permanent

A Large enterprise has an opening in their ML team for a  Machine Learning Engineer.  You will primarily be responsible for building end-to-end ML models from ideation to deployment and scalability..  You will create new and improved data driven solutions to assist the Group in answering business questions, gaining competitive advantage, identifying new market opportunities, increasing efficiencies, and / or reducing costs.

• You will join a cross-functional team, collaborating with data scientists, engineers, and analysts to understand project goals, interpret end-users intent and drive the build, implementation and scale-up of algorithms for measurable impact
• Display basic understanding of ANN’s, CNN’s, RNN’s, autoencoders, fundamental data science concepts (linear and logistic regression, SVM’s, Dimensionality reduction), ,decision tress, gradient boosting, ensemble models, etc. to develop machine learning models.
• Implement above architectures with deep learning frameworks such as Keras and TensorFlow
• Train models on large-scale data and fine tune hyper-parameters
• Research and implement appropriate ML algorithms and tools by selecting the correct libraries, programming languages and frameworks for each task

Requirements

Relevant Tertiary (masters preferred)

Minimum of 1 year commercial experience in Machine Learning

A minimum of 1 solid year in Data Science

Prescriptive Modeling

Probability and statistics knowledge

Proficiency in Python and SQL

Exposure to AWS Cloud Platform a huge advantage

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