Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The role requires 10+ years of experience in deploying, monitoring, and maintaining machine learning models in cloud environments, 3-5 years in advanced data analysis on large data sets, and 3-4 years in leading a small team.
Required skills include development and deployment of ML/AI solutions (applied statistics, machine learning, model evaluation, data visualization), data science tools like scikit-learn, xgboost, pandas, numpy, and cloud platforms such as AWS, MS Azure, or Snowflake.
Yes, 3-4 years of experience leading a small team is required, along with strong experience working in a cross-functional environment supporting multiple areas of the business.
This information is not specified in the job description.
This information is not specified in the job description.