You will design, implement, analyze and optimize ML pipelines and the supporting infrastructure for operating on large datasets. You will create publishing, fault detection and debugging infrastructure which can take intersection of multitude of such pipelines and provide rapid root cause analysis

Qualifications

• Phd /MS in a machine-learning , Data Science, Distributed ML related area, with 5 or more years of experience
• Strong knowledge and skills in machine learning software development and architectures for machine learning (with focus on deep learning).
• Research or Industry experience with one or more of following areas Natural Language Processing (NLP), Information Retrieval, Natural Language Understanding, Computer Vision, Machine Learning
• Experience in building, deploying, and improving large scale Machine Learning models and algorithms in real-world products.