ML Ops Engineer

Title: ML Ops

Location: Torrance CA (Day 1 Onsite)

Job Description:

Requirements

Knowledge of data structures (structured/unstructured) and data modelling

Experience creating and using advanced machine learning algorithms and statistics: regression

simulation scenario analysis modelling clustering decision trees neural networks etc.

Experience in scripting languages like R Python SQL Julia

Experience in ML Ops (ex. GitHub) and Agile methodologies

Experience in data analysis wrangling validation and data cleansing.

Experience in Cloud tools (ex. Redshift Snowflake Azure etc.)