Remote NLP/AI Engineer—Production-Ready Language Models

Placements24

Mossel Bay

Hybrid

ZAR 800,000 - 1,400,000

Full time

6 days ago
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Benefits offered by this job

Fully remote work
Competitive compensation
Health benefits
Online courses and conferences
Stock options / equity
Home office stipend
Paid time off
Retirement savings plan
Exposure to challenging NLP projects

Job summary

Placements24 is seeking a Remote AI/ML Engineer specializing in NLP to design, train, and deploy production-ready NLP models. You will work with state-of-the-art transformers, embeddings, and tokenization in a fully remote environment, collaborating with cross-functional teams to power chatbots, sentiment analysis, translation, and summarization projects.

The role requires 4+ years in NLP, strong Python and DL skills, and experience with cloud ML services.

Qualifications

  • Master's or PhD in Computer Science, AI or NLP.
  • 4+ years of NLP model development and deployment.
  • Strong Python and NLP library proficiency.

Responsibilities

  • Design, develop, and implement state-of-the-art NLP models and algorithms.
  • Train and fine-tune ML models on large text datasets.
  • Build and maintain data pipelines for textual data analysis.
  • Deploy NLP models to production with scalability and performance in mind.
  • Collaborate with cross-functional teams to integrate NLP into products.
  • Stay updated on NLP research and advanced deep learning methods.
  • Experiment with techniques to improve model accuracy and efficiency.
  • Write clean, well-documented, maintainable code.
  • Troubleshoot NLP model performance and deployment issues.
  • Contribute to team knowledge sharing and best practices.

Skills

NLP concepts
Tokenization
Embeddings
Transformer architectures
Python
Deep learning

Education

Master's or PhD in CS/AI/NLP

Tools

TensorFlow
PyTorch
spaCy
NLTK
Hugging Face Transformers
AWS
Azure
GCP

Job description

Placements24 is seeking a Remote AI/ML Engineer specializing in NLP to design, train, and deploy production-ready NLP models. You will work with state-of-the-art transformers, embeddings, and tokenization in a fully remote environment, collaborating with cross-functional teams to power chatbots, sentiment analysis, translation, and summarization projects.

The role requires 4+ years in NLP, strong Python and DL skills, and experience with cloud ML services.

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