Machine Learning DevOps Engineer II

Required Skills 

• Software engineering experience in a production environment, with a strong background in system design and architecture. 

• Expertise in programming languages such as Python and JavaScript. You’re experienced writing scalable, production-level code sufficient to thoroughly review code and mentor on general programming best practices. 

• Solid understanding of scaling strategies and distributed computing principles. 

• Demonstrated interface savviness, including experience creating and interacting with RESTful HTTPS API's, websockets, and webhooks. 

• Experience with at least one Cloud Computing platform (experience with Microsoft Azure a plus).  

• Experience with serverless functions, e.g., OpenFaaS.

Preferred Skills 

• Power Platform, Azure AI Studio, and other Microsoft stack exposure for AI solution deployment. 

• Certified Kubernetes Application Developer (CKAD) certification or similar credentials. 

• Demonstrated commitment to DevOps best practices and continuous improvement. 

• You want to stay fresh with regards to practicing engineering. Continuous improvement is a mantra for you as any system you work with gradually improves over time.  

• You enjoy machine learning. You've gone deeper than reading blog posts and playing around with ChatGPT.