Arize AI is looking to solve the problem of deploying and maintaining high-performing, reliable AI models in production.
Requirements
- Knowledgeable in Machine Learning
- Experience training models in common packages such as scikit-learn, HuggingFace, fastai, and etc.
- Proficiency in Python
- Proficiency in Linux/Unix
- Previous engineering experience in: Data Engineering, MLOps, Kubernetes, GCP / AWS / Azure (bonus points)
Responsibilities
- Lead product demonstrations of the Arize platform
- Develop strategies to unblock technical objections
- Collaborate to create and enhance documentation, recorded video assets and other publically available as well as internal enablement materials
- Engage in relevant ML communities online to raise awareness on challenges of deploying ML in production
- Assist with high-level pitches of Arize to CDOs
- Work hands-on to develop small proofs of concept
- Lead discovery to understand prospect’s ML stack
Other
- Strong Communication Skills
- A quick and self learner
- 5+ years within customer facing role
- Pre-sales, technical account management, or consulting experience
- Worked with customers within the high enterprise (e.g. Fortune 500, etc)
- Ability to empathize with the frame of reference of who you are communicating with and tailor your message and approach accordingly
- Ability to simplify complex, technical concepts
- Ability to work within ambiguity and take action with limited direction
