Essential attributes and competencies include excellence in scientific thinking and execution, ability to drive efficient experiment definition and investigations, solid skill in developing state-of-the-art machine learning algorithms and broad scope in solving NLP related engineering problems. Developing novel machine learning and data mining algorithms. Designing and developing solutions that respond in real time. Host ML models with production-ready code. Designing and executing offline/onlin…
Responsibilities
We are looking for a motivated, self-driven Applied Scientist II to join our mission. Build data quality checks and re-usable modules for the training.
Required Qualifications
PhD degree in CS/EE or related fields with knowledge in NLP, Machine Learning and Data Mining. 3-6 years of professional experience applying Deep learning, Machine Learning concepts in real world applications. Excited to work as part of diverse team and collaborate across geographies. Outstanding communication and collaboration skills. Strong research and/or development experience with machine learning, NLP and data mining. Experience in architecting, developing, and delivering advanced NLP projects is a strong plus. Customer focused, strategic, drives for results, is self-motivated, and has a propensity for action. Fantastic problem solver: ability to solve problems that the world has not solved before. Proven track record on shipping products/services with high quality.
Original Posting
This role is sourced from Microsoft. Apply on Microsoft careers page