Description:

Position Required Skills, Knowledge, and Abilities: • Advance knowledge of the architecture and design. • Knowledge of various data structures and common methods in data transformation. • Hands-on experience in AWS Sage maker and ML Flow is a MUST. • Hands-on experience as a DevOps (Docker, Kubernetes). • Hands-on experience in CI/CD. • Strong Python skills. Position Education and Experience (required and preferred): • Bachelors in computers science and related field. • Overall 5+ years of experience. • Minimum 3+ years in DevOps. • Minimum 3+ years of experience in ML Ops is a MUST. Position Responsibilities: • Construct Machine Learning lifecycle management including data collection, normalization and standardization within a data pipeline construction. • Develop Auto ML Infrastructure for model selection and hyperparameter tuning. • Develop hosting platform for machine learning models. • Supervise the scaling and management of the machine learning modelling ecosystem. • Other duties as assigned.

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