Take ownership of whole end to end machine learning projects from data processing, training, optimization to real time monitoring and maintenance
· Active and effective collaboration with other project team members (other Data Scientist, Data Steward, Machine Learning Engineer)
· Experience with Early Warning System for account churn or dissatisfaction would be preferred
· For you to be successful, you must Solid data management and statistical modeling skills R, Python (SciPy, NumPy, scimitarlearn).
· Open and flexible to accommodate and implement new ideas, understand business complexities, nurture innovation and challenge the status quo persistently
· Domain experience in Storage, Filesystems, hybrid cloud environments is a plus.
· Must have experience in CICD tools and software development lifecycle Proficiency with a deep learning framework such as TensorFlow or Keras
· Select and employ advanced statistical procedures, ML models, to provide end users actionable insights.
· Apply statistics, modelling, and machine learning to improve the efficiency of systems and relevance algorithms across our business application products It would be exceptional, if you also have this Knowledge of Computer Vision and NLP techniques.
· Working knowledge of applying AIML principles to real world applications
· Experience working with large amounts of data in a high throughput environment.
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