About the Role

We are looking for an accomplished Machine Learning engineer, well versed with industry best practices in ML and Dev/Ops with extensive knowledge of technologies, methods and challenges related to Deploying and Monitoring complex array of ML models. You are an innovator at heart and are passionate about time-to-value. You love to learn and you dive right into the work effort and emerge with timely solutions. More importantly you are a team player, always thinking of further team(s) interest and this is the trait that we value the most.

Responsibilities

• Work with Data Scientist to deploy, monitor and deliver Machine Learning models
• Configure, maintain and optimize Databricks/H20/AWS ecosystem to help optimize ML pipelines
• Define and implement ML lifecycle and measure and rack throughput metrics
• Partner with external functions and teams to deliver ML model results (predictions etc) to the consuming systems (SFDC, Apttus, Gainsight)
• Track and report on ML model performance metrics including run time, convergence, degradation and related metrics

About You

Basic Qualifications:

• 7+ years of full-time industry experience as a Software Engineer with 2+ years related to Machine Learning and Data Engineering
• Experience in the Databricks, AWS,(RedShift, Sagemaker) H2O, , MySQL, Spark and associated tools to build scalable machine learning systems
• Strong programming skills in Python (numpy/scipy, sklearn, pandas, etc)
• Self-motivation, a strong sense of ownership, and an enjoyment of a startup-like environment
• An ability to balance a sense of urgency with shipping high quality and pragmatic solutions

Other Qualifications:

• Bachelors or Masters Degree in Computer Science, Statistics or other
• Interest or experience in information extraction, text mining, natural language processing, recommendation systems, and search relevance