Senior Full Stack Engineer (python)

<h3><strong>Description</strong></h3><p>NannyML — creators of the NannyML <a href="https://github.com/NannyML/nannyml" rel="nofollow noreferrer noopener">Open Source Python library</a> are looking for a Belgium-based Senior Full Stack Engineer (python) to help improve our Open Source and Cloud products.</p><h3><em><strong>About Us</strong></em></h3><p>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 <a href="https://github.com/NannyML/nannyml" rel="nofollow noreferrer noopener">OSS library</a> and the <a href="https://www.nannyml.com/" rel="nofollow noreferrer noopener">NannyML Cloud</a> product.</p><p>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.</p><p>We are backed by tech leaders who have founded and grown top data unicorns, like the <a href="https://www.linkedin.com/in/stijnchristiaens/" rel="nofollow noreferrer noopener">co-founder of Collibra</a> (the first Belgian unicorn), <a href="https://www.linkedin.com/in/zehanwang/" rel="nofollow noreferrer noopener">Zehan Wang</a> (ex-head of Cortex AI at Twitter); and deep tech VCs like <a href="https://lunar.vc/" rel="nofollow noreferrer noopener">Lunar Ventures</a>. 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.</p><h3><strong>About the Role</strong></h3><p>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.</p><h3><strong>Responsibilities</strong></h3><ul> <li>Work closely with the Product and Research teams to implement new product features in the NannyML Cloud.</li> <li>Work on scaling NannyML Cloud for 100 TB datasets</li> <li>Work on improving the robustness, responsiveness, and UX of NannyML Cloud</li> <li>Directly contribute to our open-source library by implementing new ML Monitoring features and algorithms</li> <li>Implement internal tooling to facilitate both research and product development</li> </ul><p></p><p><strong>Requirements</strong></p><ul> <li><strong>Experience building data/ML products or cloud-based software</strong></li> <li>Strong experience with React, Tailwind CSS</li> <li>Strong experience with Python for backend development (preferably using FastAPI and SQLAlchemy)</li> <li>5+ years working as an engineer in full-stack (both backend and frontend) roles</li> <li>Exceptional communication skills in English - both oral and written.</li> <li>You are a swift learner and can easily pick up new concepts.</li> <li>You are incredibly proactive, independent, and comfortable in proposing new ideas. This also means holding your ground when you believe you are right.</li> <li><em>Be available to start as soon as possible. We're looking to fill this role immediately.</em></li> <li><strong>You are based in Belgium or are willing to relocate immediately and already have permission to work there.</strong></li> <li>Strong interest in Machine Learning / Data Science</li> </ul><p></p><h3><em><strong>Nice to haves</strong></em></h3><ul> <li>Prior work in a Machine Learning company</li> <li>Basic Python Data Science stack knowledge, including pandas, Scikit Learn.</li> <li>Experience with data visualization for web applications (using Plotly.js, D3 or a similar library)</li> <li>Experience with “big data” processing using Spark, Dask or Ray</li> <li>Experience with Docker/Kubernetes</li> <li>Experience with data lakes (Delta Lake, Iceberg, Trino, …)</li> <li>Experience with GitOps and/or MLOps</li> </ul><p><strong>Benefits</strong></p><ul> <li>The opportunity to be a part of the exciting early stages of a well-funded, European-based Open Source start-up that has massive growth and venture potential</li> <li>Fully Remote Working Environment with an option to work from an office</li> <li>23+ days of planned leave annually</li> <li>Paid sick leave and private he