Qualified individuals will work in a research and development
team to create semantic representation from unstructured free-texts,
predominantly news articles. Potential candidates need to be enrolled in or
have graduated from an academic program disciplined in computer science,
information science, mathematics, or related fields. This is an excellent
opportunity to get hands-on experience in solving real-world problems using NLP
and machine learning. The projects involved in this position play a crucial
role in the development of commercial products and will act as an excellent
addition to the professional portfolio of the candidates.
Job
Responsibilities Include, But Are Not Limited To
·
Build pipelines
for multi-label classification on news articles·
Evaluate various
algorithmic approaches in information extraction·
Train and
optimize predictive models·
Information
retrieval (with web scraping and parsing)·
Maintain and
sanitize entries in the databases·
Write wrappers to
connect backend with frontend UI
Qualifications
·
Proficient with
Python·
Proficient with
MongoDB·
Knowledge of NLP
and machine learning libraries (e.g., NLTK, Scikit Learn)·
Knowledge of
common methods in information extraction·
Experience with
tools and methods for feature engineering·
Experience in
predictive modeling and parameter optimization·
Familiarity with
VPS and Linux/Unix environments
Looking
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email us at careers@nexusITgroup.com
Location: San Francisco, CA
Posted: Nov. 5, 2024, 7:22 a.m.
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