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Natural Language Processing Engineer

Job in Waukee, Dallas County, Iowa, 50263, USA
Listing for: Placements24
Full Time position
Listed on 2026-10-20
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 36000 - 67000 USD Yearly USD 36000.00 67000.00 YEAR
Job Description & How to Apply Below
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 Tensor Flow 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.
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