About

Nicolas Thiebaut is a highly skilled Machine Learning Engineering Manager with over 7 years of relevant experience. He is currently working at Hired where he is responsible for the ML roadmap and cross-team dependencies. He has also defined and organized the hiring process for the Machine Learning team and has organized and driven the fair Machine Learning effort. Nicolas is a data scientist with a keen interest in tech, natural language processing, and machine learning interpretability and fairness. He has worked as a Data Analytics Instructor at Product School where he taught an 8-weeks Data Analytics for Manager course. The curriculum included classes on web analytics, A/B testing, SQL, statistics, data visualization, machine learning, and big data. Nicolas wrote the class notes, created interactive exercises, and revamped the curriculum and corresponding slides. Nicolas has also worked as a Machine Learning Engineer at Visage.jobs, where he laid the business analytics and machine learning foundations of the recruitment platform powered by crowdsourcing and AI. He designed, implemented, and deployed a Siamese Neural Network that recommends the most relevant candidates for a given job. This automates 20% of the candidates' evaluations using TensorFlow, Gensim, Docker, and Jenkins. He also wrote a machine learning solution with automated training to evaluate candidates for a given job. This algorithm assesses up to 50% of the submitted candidates' profiles using Scikit-learn, Spacy, and AWS ECR. Nicolas determined the relevant KPIs and built the corresponding dashboards using Tableau Software and MongoDB. Nicolas holds a Doctor of Philosophy (PhD) in Theoretical Physics from Paris-Sud University (Paris XI), a Master 2 in Condensed Matter Physics from Ecole Normale Supérieure, and a Master's Degree in Magistère de physique fondamentale d'Orsay from Université Paris-Saclay. He has a strong technical background and is proficient in ML, Senior Software Engineering, NLP, SQL, Data Science, Research Science, Big Data, Web, AWS, AI, Scikit, Docker, TensorFlow, Neural Networks, MongoDB, and Jenkins. Overall, Nicolas is a highly motivated and skilled professional with a passion for machine learning and data science. He has a proven track record of delivering high-quality work and is an asset to any team he works with.