Machine Learning Analyst, Tidio

• Understand ML workflow (EDA, data preparation, training, evaluation, monitoring)
• Are scrupulous and pay attention to details
• Are creative and strive to learn new things
• Have at least a basic knowledge of Python (pandas) and SQL
• Have at least a basic understanding and knowledge of statistics (distributions, confusion matrix, performance metrics, correlation)

Desirable

• At Tidio, we believe that AI will transform how businesses engage with their customers
• As a leading provider of conversational chatbot solutions, we are at the forefront of this revolution
• That's why we are looking for an exceptionally talented Machine Learning Analyst to join our small but mighty Machine Learning team
• By joining the ML team as a Machine Learning Analyst, you will become a crucial member of our 5-person team and help us push the boundaries of conversational AI
• This is a unique opportunity to turn your passion for machine learning into world-class products that deliver real value to the customers
• Monitor models in production- looking for outliers, checking statistics, reporting model performance in time, and giving insights to ML team and product teams on various machine learning metrics (e.g., distributions, inference times)
• Create datasets - assigning labels to the datasets manually, developing autonomous ways to perform labeling like regex heuristics, performing and validating labeling using LLMs (external and self-hosted)
• Take care of the model validation before deployment - QA, performing direct tests on the model to assure its quality, developing tools to test it
• Take care of dataset curation - analyzing our datasets to find errors, improve them, making sure they are stored correctly
• Develop dataset intuition - being able to answer various questions about the data
• Monitor the labeling workforce—during labeling processes, we send a lot of data to the outsourced workforce, and we need some QA on the samples we receive from them

• Screening call with a recruiter about the position and the team [1h]
• Interview with @Bartek Kowalczuk (Machine Learning Lead) and the team about your experience [1,5h]
• A recruitment assignment
• Technical call with the Machine Learning Team (feedback on the task with additional questions) [1,5h]
• Offer and fireworks! 🎉