Summary
Join our team and help build world-class software that helps make AI applications work better. As a client-obsessed ML Solutions Engineer, you'll be the trusted technical advisor for our customers, driving business value and growing accounts. You'll lead customers to solutions by teaching them about Arize or consulting on best practices.
Requirements
- Previous experience working as a Data Scientist, Machine Learning Engineer, or as an Engineer working with ML models in production
- Comfortable with Kubernetes and public Cloud environments (AWS, Azure, GCP)
- Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn
- Understanding of ML/DS concepts, model evaluation strategies and lifecycle (feature generation, model training, model deployment, batch and real time scoring via REST APIs) and engineering considerations
- Proficiency in a programming language (Python, R, 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
Responsibilities
- Act as a trusted advisor to our customers
- Regularly engage with customers on status calls, educate them on product roadmap and QBRs, manage escalations, while influencing our roadmap in partnership with our Product team
- Interface with our pre-sales engineering team to gather client goals and KPI's
- Spearhead new opportunities in which Arize can provide the most value that will drive renewals and new accounts
Benefits
- Comprehensive benefit package, including: medical, dental, vision, 401(k) plan
- Unlimited paid time off
- Generous parental leave plan
