Machine Learning Solutions Engineer, Arize AI

• 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

Desirable

• You will act as a trusted advisor to our customers, while also building relationships with technical stakeholders
• You will act as the “Voice of the Customer” - Regularly engaging them on status calls, educating on product roadmap and QBRs, managing 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