Remote NLP Engineer: Build Cutting-Edge Language Models

Placements24; Gauteng; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Remote work

Stock options

Health insurance

Professional development budget

Conferences access

Cutting-edge AI tools

Job summary

Placements24 in South Africa is seeking a talented Machine Learning Engineer specializing in NLP to join our innovative team in Gauteng. You will develop and deploy advanced NLP models to enhance user experience and deliver business insights.

The role requires 2+ years of hands-on NLP experience, strong Python and ML library skills, and experience with cloud platforms and MLOps. You will design data pipelines, collaborate with product and software teams, and optimize models for production.

Qualifications

• Bachelor’s or Master’s in CS, Linguistics or related field with NLP focus.
• 2+ years hands-on NLP model development and deployment experience.
• Proficiency in Python and ML/NLP libraries (spaCy, NLTK, Transformers).

Responsibilities

• Develop, train, and deploy NLP models for tasks like sentiment analysis, classification, NER, and QA.
• Design and implement scalable data pipelines for large text datasets.
• Collaborate with product managers and software engineers to define NLP requirements.
• Stay updated on NLP research and apply findings to practical challenges.
• Optimize model performance for speed, accuracy, and production readiness.
• Conduct experiments and rigorous evaluations of NLP solutions.

Skills

NLP concepts

Python

spaCy

NLTK

Transformers

scikit-learn

TensorFlow

PyTorch

MLOps

Cloud platforms

Data pipelines

Education

Bachelor's or Master's in CS/Linguistics/NLP

Tools

AWS

Azure

GCP

Docker

Kubernetes

Job description

Placements24 in South Africa is seeking a talented Machine Learning Engineer specializing in NLP to join our innovative team in Gauteng. You will develop and deploy advanced NLP models to enhance user experience and deliver business insights.

The role requires 2+ years of hands-on NLP experience, strong Python and ML library skills, and experience with cloud platforms and MLOps. You will design data pipelines, collaborate with product and software teams, and optimize models for production.