Machine Learning Engineer  

We are looking for a machine learning engineer to put machine learning applications in production to personalize each user experience and increase overall customer love.

As a Machine Learning Engineer in Kumu, you will need to be familiar with the standard implementation and deployment of machine learning models in production.

• Deploy and maintain ML applications at production scale
• Design and implement end-to-end machine learning infrastructure
• Work with and design an automation framework for ML applications at Kumu
• Manage cloud infrastructure and make decisions based on system reliability, performance, and cost
• Design and implement related applications involving feature processing, model asset management, etc.
• Work closely with other machine learning engineers, data scientists, data engineers, devops engineers and other product teams

• Candidates must have experience in Machine Learning Engineering, DevOps
• Candidates must have experience in deployment of machine learning models
• Candidates must have experience with and cloud platforms like GCP or AWS
• Candidates must have strong understanding of machine learning frameworks such as Tensorflow and PyTorch
• Candidates must understand how machine learning models are built from training to production.
• Candidates must have experience in programming using Python
• Candidates must be passionate about the role of experimentation in improving the company’s potential as a data-driven organization
• An advantage having experience in using model serving services
• An advantage having experience in processing data and building ML models at scale using distributed computing frameworks, feature store, and ML pipelining