Natural Language Processing Engineer

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

About the Role

Our client is seeking a skilled Natural Language Processing (NLP) Engineer to join their dynamic team in Paarl . This hybrid role is focused on developing and implementing advanced NLP models and solutions that enable machines to understand, interpret, and generate human language. You will work on diverse projects, from sentiment analysis and text summarization to chatbot development and information extraction. This is an excellent opportunity to contribute to cutting-edge AI applications, collaborate with talented researchers and engineers, and grow your expertise in a supportive environment that combines remote flexibility with in-office collaboration.

Key Responsibilities

• Design, develop, and deploy NLP models for various language understanding tasks.
• Process and analyze large volumes of text data to extract insights and build 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 the performance of NLP systems through rigorous testing and experimentation.
• Stay current with the latest research and advancements in the field of NLP.

Requirements

• Master's or Ph.D. in Computer Science, Computational Linguistics, or a related field.
• Proven experience in developing and deploying NLP models and applications.
• Proficiency in Python and NLP libraries such as NLTK, spaCy, Hugging Face Transformers.
• Experience with deep learning frameworks like TensorFlow or PyTorch.
• Understanding of linguistic principles and text data preprocessing techniques.
• Strong problem-solving skills and ability to work effectively in a hybrid team setting.

Benefits

• Competitive salary and annual performance bonuses.
• Comprehensive medical, dental, and vision insurance.
• Retirement savings plan.
• Professional development opportunities and training budgets.
• Hybrid work model for improved work-life balance.
• Collaborative and innovative work culture.