Vacancy caducado!
Required Experience Intermediate ML concept knowledge and background (DT, ensemblemethods, Neural Networks, SVM, Clustering, Association Rules) - equivalent to 5 years Intermediate knowledge of EDAAbility to develop ML from standard libraries (Sklearn, XGBoost,Keras, H2O, etc.) as well as create custom model architectures(Keras, TensorFlow, PyTorch, etc.) Undergraduate degree in CS, Math, or another relevant field Python SQL Understanding of AI platform tech stack Code changes to experimentation code base provided as code review Participates in code reviews in areas of solution knowledge
Daily Responsibilities Defines the problem statement and designs the solution for smallscale projects, and/or multiple components of a larger scale project Follows ML best practices designed by the Technical Project Lead, oradministers them for small scale projects Customer focused Understands the problem spaceUnderstands why the team is building the AI solution and discovershow it can be improved Focus on AI capability performance metrics Focused on data availability and quality check for Prod Prepares smaller scale projects code for productionalization Understanding the ML Engineering workflow Mentoring junior Data Scientists Responsible for smaller scale projects, and/or multiple components ofa larger scale projectWork Culture Collaborative and positive attitude Fosters a culture of safety, quality, and trust Learning positive behaviors by absorbing all aspects of the LeadershipShadow cast by more senior team members and leadersVacancy caducado!