Come and change the world of AI with the Kumo team!
Companies spend millions of dollars to store terabytes of data in data lakehouses, but only leverage a fraction of it for predictive tasks. This is because traditional machine learning is slow and time consuming, taking months to perform feature engineering, build training pipelines, and achieve acceptable performance.
At Kumo, we are building a machine learning platform for data lakehouses, enabling data scientists to train powerful Graph Neural Net models directly on their relational data, with only a few lines of declarative syntax known as Predictive Query Language. The Kumo platform enables users to build models a dozen times faster, and achieve better model accuracy than traditional approaches.
As a ML Solutions Architect for EMEA, you will be a technical liaison for Kumo’s customers and prospects in the EMEA region. Your objective is to discover the technical needs of customers and showcase how Kumo can address them (or explain why you think it won’t). With this information, you will craft and tell a story of how Kumo can deliver value to their organization.
Together with the customer and Account Manager, you will put together a plan to solve the customer’s machine learning problems using Kumo. You will leverage your industry knowledge and data science expertise to help the customer craft the solution architecture and machine learning approach for their use cases, and guide them to achieve technical wins. You will maintain relationships with technical champions, ensuring continued success of existing models as well as expansion to new use cases.
This is a fantastic opportunity for someone with deep expertise in machine learning and passion for data science to grow into a confident leader within a dynamic and innovative environment.
-------------------------
Benefits:
Stock
Competitive Salaries
Medical Insurance
Dental Insurance
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.