Experience in Product/Process Training methodologies, learning principles Excellent verbal and written communications skills Excellent presentation, organizational, and planning skills Ability to work effectively as a virtual member of a dynamic,
Leads multiple projects and programs with global and cross-organizational program teams on needs assessment, intervention selection,design, development,implementation,delivery reporting,and continuous innovation and improvement of learning solutions.
Interested in machine learning and cloud computing technology.Your work will enable customers to build and run entire ML pipelines within Amazon SageMaker without the need to provision or manage servers. You will design, implement, test, document.
Experience working in MLOps will be plus. Strong knowledge in Data Science pipelines with Python, deep learning architectures OCR Tesseract, OpenCV, Scikit, Pandas, Numpy, pytorch and tensorflow Object oriented programming hands on project experience
Work experience as a data analyst or in a related field. Ability to work with stakeholders to assess potential risks. Ability to analyze existing tools and databases and provide software solution recommendations.
Work with deep learning experts to design and implement networks optimized for GPU-accelerated inference Develop advanced inference engine techniques to enable real-time deployment of models Deploy productized networks to run efficiently.