Build prototypes of data science project pipelines including data preparation, modeling, and evaluation stages Tune machine learning models from a learning performance viewpoint (eg precision, recall, silhouette) as well as a computational efficiency (eg speed, footprint) Build machine learning libraries for data scientists to reuse(consume), based on pre-existing scikit-learn and MLlib libraries Build data products (assets) a software program which utilizes machine learning models and takes the user from data preparation through models building to visualization of business insights Follow team development processes Based on the nature of the project and the available tools, quickly learn and adapt to different technologies and tools than the ones you are used to
Eligibility:Ph.D/Doctorate(Other), Master of Science(Other), Any Graduation, Bachelor of Technology/Engineering (Any, Computers).
Industry:Engineering Design & Consulting
Deadline:07th Aug 2024
Machine Learning Engineer