Senior Post-Sales Machine Learning Engineer
Skills
Cloud InfrastructureArtificial IntelligenceC-LevelLaptopsLibrary ServicesMachine LearningNatural Language Processing
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Experience building NLP/Vision solutions
- Understanding of ML Lifecycle and basics of cloud infrastructure
- Proficiency with transformers library
- Self-starter with the ability to tackle hard problems independently
- Attention to detail
- Ability to build customer relationships and help them succeed
- Great communicator comfortable with technical and non-technical audiences
- Comfortable writing code scripts and notebooks on transformers/ML Ops use cases
- Ability to learn quickly and share knowledge
Day to day
- Work closely with larger companies to grow accounts and reduce churn
- Upsell to larger service engagements by making recommendations to decision-makers
- Discuss business problems ML models can solve, representing opportunities from Hugging Face innovations
