Senior Full Stack Engineer (python)

NannyML — creators of the NannyML Open Source Python library are looking for a Belgium-based Senior Full Stack Engineer (python) to help improve our Open Source and Cloud products.

About Us

NannyML builds products for post-deployment data science. We focus on detecting model performance degradation without needing access to ground-truth data. We have researched and developed state-of-the-art algorithms that now form part of our OSS library and the NannyML Cloud product.

The founders are experienced entrepreneurs who previously founded a specialized machine learning company, where they became experts at building machine learning systems. At NannyML, we take pride in hiring the best people and getting out of their way so that they can make great things happen.

We are backed by tech leaders who have founded and grown top data unicorns, like the co-founder of Collibra (the first Belgian unicorn), Zehan Wang (ex-head of Cortex AI at Twitter); and deep tech VCs like Lunar Ventures. At NannyML, we are building Free Open Source Software to estimate the performance of ML models after deployment. We’re creating a one-of-a-kind company by being one of the initial players in the growing ML Monitoring field. By focusing on post-deployment data science and performance estimation, we’ll define the industry and science for decades to come.

About the Role

We are looking for a Senior Full-stack Engineer (python) to improve and expand our Open Source and Cloud Products. You will work with the Senior Product people, including the CTO, CPO, Data Engineer/Architect, and multiple Data Scientists. You will own the end-to-end implementation of multiple NannyML Cloud features. You will share your full-stack expertise with the rest of the engineering team and learn about data science, data engineering, and MLOps. As we grow NannyML we expect you to grow with us. As our company scales, we envision a successful candidate to grow into an Engineering Lead or a similar position.

Responsibilities

• Work closely with the Product and Research teams to implement new product features in the NannyML Cloud.
• Work on scaling NannyML Cloud for 100 TB datasets
• Work on improving the robustness, responsiveness, and UX of NannyML Cloud
• Directly contribute to our open-source library by implementing new ML Monitoring features and algorithms
• Implement internal tooling to facilitate both research and product development