Developing/Maintaining NLP/NER tools and converting unstructured data into structured data.
Be responsible for building knowledge-graph platforms using a combination of frameworks and big data processing technologies such as Azure Cloud Platform, Amazon Neptune, or Neo4j.
Take ownership of platform components and help set the vision and architecture for it.
Qualifications:
Skills with Python, Shell, and SQL as this is a hands-on position writing code.
Knowledge in MPP/No SQL databases like Elasticsearch, MongoDB, Redis, and Neo4j in large scale environments.
Ability to evaluate, benchmark, and improve the scalability, robustness, efficiency, and performance of big data platforms and applications.
Great troubleshooting and problem-solving abilities, along with an ability to collaborate cross-functionally in a fast-paced environment.
B.S, M.S, or Ph.D. in Computer Science, Mathematics, Statistics, or equivalent work experience.
Preferred Qualifications:
Strong ability for learning new technologies related to big data processing and data management.
Knowledge in machine learning, and feature engineering is a plus.
Experience in using open source frameworks to build applications is a plus.
Experience in using K8S to build applications is a plus.