Advances in Large Language Models have resulted in considerable improvement in NLP Engines that transform natural language to structured data and vice versa.
As an NLP engineer you will be in the forefront of this transformation of converting existing query interfaces to the surveillance platform to natural language interfaces.
Additionally, you will play a role in leveraging SOTA LLM Architectures for multi-modal learning to create foundation models that run at scale.
Experience: 4-7 Years
Desired Skills:
Bachelors or Masters Degree in Computer Science or related disciplines.
Strong background in Mathematics and Statistics.
Good understanding of text representations like one-hot encoding and other word embeddings
Atleast one successful project execution using LLMs for Natural Language Understanding
Fluent in Python/Scala/R with working knowledge of C/C++
Sharp problem solving skills and ability to resolve ambiguous requirements
Good understanding of ML Architectural components including LSTMs and Transformers.
Good understanding of Foundation models and multi-modal learning.
Knowledge of ML Architectures in Computer Vision space like CNN is good to have.
Knowledge of SQL/NoSQL databases and Data Lakes good to have.
