Arize AI is looking for a client-obsessed AI Solutions Engineer to join their Solutions Engineering org. The ideal candidate will have experience working with ML models or GenAI applications in production and be comfortable working in public Cloud environments. The role involves working closely with customers, advising on GenAI and ML best practices, and partnering with the product and engineering teams to drive the product roadmap.
Requirements
- Previous experience working as a Data Scientist, Machine Learning Engineer, or as an Engineer working with ML models or GenAI applications in production.
- Comfortable working in public Cloud environments (AWS, Azure, GCP)
- Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn
- Proficiency in a programming language (Python, JS/TS, Java, Go, etc)
- Strong Communication Skills - Ability to simplify complex, technical concepts.
- A quick and self learner - undaunted by technical complexity of production ML deployments and welcome the challenge to learn about them and develop your own POV.
Benefits
- Comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support
- WFH monthly stipend to pay for co-working spaces
- Competitive equity package
- Estimate annual salary and variable compensation between $125,000 - $175,000