Log In
Sign Up
Acerta’s machine learning platforms leverage automotive assembly and vehicle data to detect the earliest indicators of future product failures. We help automakers optimize quality, safety, and reliability throughout the entire product life cycle, from the assembly line to the finish line.
As an integral part of the data science team at Acerta, you will productize, deploy, maintain, and monitor machine learning models running behind Acerta’s LinePulse and AutoPulse products. Our LinePulse SaaS platform enables automakers to identify anomalies in production data for enhanced testing, accelerated root cause analysis, and improved manufacturing output. Acerta’s AutoPulse SaaS platform enables predictive maintenance of connected and autonomous vehicles based on production, maintenance, and on-road data.
Requirements:
Minimum of 3 – 5 years of data science experience using python
Strong ML and statistics background
2+ years of software development experience
Experience with keras, tensorflow, and sklearn.
Experience with time-series and operations data is an asset
Previous Kaggle experience or similar is a plus
Ability to work in a fast-paced agile environment
Experience using Git in a team environment
Flexibility to adjust to changing priorities, requirements, and schedules
Familiarity with working on remote linux instances
Responsibilities:
Own significant product requirements and drive them from development to deployment
Tune and monitor machine learning models deployed for customers.
Research and apply state of the art in model interpretation and explainability
Package development in Acerta’s Codebase
