job-NLP-engineer



Role : Natural Language Processing (NLP) Engineer


Work location: India (Remote)
What You'll Do - Responsibilities:
Develop and deploy NLP models to solve business problems
Train model on foundation model
Build custom chat bots.
Stay up-to-date on the latest NLP research, generative ai and technologies
Build e2e solution using generative AI.
Build machine learning models, and solutions for NLP
Work with business teams to deliver results.


Qualifications

Minimum Qualifications:
BS/MS degree in Computer Science, Statistics, Operation Research, Applied Mathematics or similar quantitative fields
Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
Experience with natural language processing libraries such as spaCy, NLTK, or Stanford CoreNLP
Hands-on experience in one or more of the following areas: NLP, machine learning, machine learning pipeline, Exploratory data analysis, deep learning, and statistical modeling methods.
Strong coding skills, especially in Python/Java/Go. Knowledge of Cloud. - AWS, GCP, Azure
Preferred Qualifications:

1+ years of experience is preferred but not mandatory
Knowledge of generative models, active learning, transfer learning is a plus.
In this position, you will be working with talented machine learning, data scientist, software engineers, and business groups.