Чем предстоит заниматься
Automate machine learning development process
Build CI CD and deployment infrastructure
Build and maintain large scale data infrastructure for AI projects
Build feature store components
Collaborate with data scientists on algorithm pilots
Deploy machine learning solutions into production
Design develop and maintain analytical pipeline framework
Develop data pipelines
Develop monitoring solutions
Evaluate data quality for machine learning
Implement model lifecycle management
Implement release management
Improve data quality using tools and frameworks
Industrialize machine learning solutions at scale
Integrate with external IT infrastructure for end to end solutions
Recommend and select cloud services
Transform proof of concept models into scalable solutions
Use agile and scrum to deliver business value
Write scalable maintainable code using software design patterns