Teach us Machine Learning DevOps & QA!

We're looking for someone to do a 2 hour session with us on machine learning DevOps & QA. You will share your previous experience with us, teaching us about how you deployed your ML in production, and what tests and monitoring you performed on it to make sure it's robust. You MUST have the below qualifications (don't apply if you don't tick EVERY box): 1. You have at least 3 years of experience deploying machine learning in production (ie you wrote the actual production code, not just the notebooks). 2. You understand and can explain in detail the architecture of the system you worked on - from data gathering, to pre-processing, modeling, deploying, and finally monitoring. 3. You understand and can explain in detail the QA tests you performed on your system and how you made it robust. 4. You have good communication skills and are comfortable doing a presentation in front of 3+ people. The format of the session will be 1 hour presentation by you, 1 hour Q&A by us. In return, in addition to the financial reward, you will get a chance to talk to a seed-stage AI security startup based out of Silicon Valley. We spun out of the Department of Defense and are doing some pretty exciting stuff. We’ll answer your questions where we can (assuming information is not classified)!