LatentView Analytics is a trusted partner
to enterprises worldwide, including more than two dozen Fortune 500 companies in the retail, CPG, financial, technology and healthcare sectors. Roles and Responsibility :
Combine statistics, NLP, and machine learning techniques to create scalable solutions for business problems
Extensive ML and Deep Learning (NLP focus) experience
Hands-on experience with text preprocessing, named entity recognition and entity linking, topic modeling, document classification, and summarization
Experience with sci-kit-learn and pandas; preferably also PySpark, Tensorflow, Pytorch, MLFlow, and NLP packages like spaCy and NLTK
Focus on scalability, performance, service robustness, and cost trade-offs.
A continuous drive to explore, improve, enhance, automate, and optimize systems and tools to best meet evolving business and market needs.
Attention to detail, coupled with the ability to think abstractly.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product.
Keen to learn new technologies and apply the knowledge in production systems.
Skills : Python, Pandas, PySpark, ML, NLP, PySpark, NLTK.
Good to have : Experience working with cloud-based stacks (either AWS, Azure, GCP)