Senior Post-Sales Machine Learning Engineer

Skills
Cloud InfrastructureArtificial IntelligenceC-LevelLaptopsLibrary ServicesMachine LearningNatural Language Processing
Role

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