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. |