Post-Sales Machine Learning Engineer, Customer Success
Skills
Data EngineeringMicrosoft AzureData PipelinesDeep LearningGood Clinical PracticeGoogle Cloud PlatformMlops
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Implement efficient and reproducible ML pipelines
- Act as a trusted advisor and communicator for new customers
- Conduct product training sessions and provide customer feedback for product enhancements
Nice to have
- HuggingFace
- Fastai
- Docker
- Kubernetes
Day to day
- Collaborate with advanced ML teams worldwide to tackle challenging ML issues
- Guide new customers through onboarding process and enhance their ML workflow
- Design and implement customer adoption strategies and ensure successful product use post-sales