$80K - 120K a year
Maintain and expand a Java and Python based machine learning model-building system while deploying applications in a Kubernetes environment.
Candidates should have experience with Java, Python, and various ML tools, along with the ability to work in a hybrid setting.
Software engineer with a diverse technical background to maintain and expand a Java and Python based machine learning model-building system. The ideal candidate would be able to deploy the application in Kubernetes environment and independently debug issues as they arise. The candidate would be able to take an objective and develop, test, deploy, and debug a solution rapidly. This role requires a passion for new technologies and the ability to think of original solutions. Desired Skills: Experience developing with Java with Hibernate and injection Experience developing with Python and related ML libraries Functional programming experience a plus Willing to learn and develop in new technologies as required Experience with MongoDB Experience with MLFlow or AirFlow a plus Other tools: Maven, GIT, LINUX, Location: Customer Site, Telework Telework: ~75% (In office at least one day a week)
This job posting was last updated on 4/25/2025