Hybrid NLP Engineer - AI Text Understanding & Generation

Placements24; Waukee (IA); Hybrid; USD 36,000 - 67,000; Full time

Benefits offered by this job

Salary bonus and performance bonuses

Health insurance

Retirement plan

Training budgets

Hybrid work

Collaborative culture

Job summary

Placements24 is seeking an NLP Engineer to join a hybrid team in Paarl or remote collaboration. You will design, implement, and deploy NLP models for sentiment analysis, summarization, and information extraction, working with Python libraries such as NLTK, spaCy, and Transformers.

You will analyze large text datasets, build linguistic features, and collaborate with data scientists and engineers to integrate NLP solutions into products while keeping up with state-of-the-art techniques through

Qualifications

• Master's or Ph.D. in Computer Science or a related field.
• Proven experience in developing and deploying NLP models.
• Proficiency in Python and NLP libraries (NLTK, spaCy, Transformers).
• Experience with deep learning frameworks like TensorFlow or PyTorch.
• Understanding of linguistic principles and text preprocessing techniques.
• Strong problem-solving skills in a hybrid team setting.

Responsibilities

• Design, develop, and deploy NLP models for language understanding tasks.
• Process and analyze large text data to extract insights and linguistic features.
• Implement and fine-tune state-of-the-art NLP techniques, including deep learning architectures.
• Collaborate with data scientists and software engineers to integrate NLP solutions into products.
• Evaluate and improve NLP system performance through rigorous testing and experimentation.
• Stay current with NLP research and advancements.

Skills

Python

NLTK

spaCy

Transformers

TensorFlow

PyTorch

Deep learning

Education

Master's degree

Ph.D. in CS

Job description

Placements24 is seeking an NLP Engineer to join a hybrid team in Paarl or remote collaboration. You will design, implement, and deploy NLP models for sentiment analysis, summarization, and information extraction, working with Python libraries such as NLTK, spaCy, and Transformers.

You will analyze large text datasets, build linguistic features, and collaborate with data scientists and engineers to integrate NLP solutions into products while keeping up with state-of-the-art techniques through