Remote Natural Language Processing (NLP) Engineer

Placements24; Polokwane; Hybrid; ZAR 700,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Performance-based incentives

Flexible remote working hours

Professional development budget

Collaborative remote team culture

Job summary

Placements24 seeks a remote NLP Engineer to design, develop, and deploy NLP models for language understanding and generation. You will collaborate with a distributed team of data scientists, engineers, and product managers on chatbots, text analytics, and sentiment systems.

You will work remotely on cutting-edge NLP projects, leveraging transformers, BERT, and GPT-style models to advance AI language technologies and deliver scalable solutions across product pipelines.

Qualifications

• Master's or PhD in Computer Science, Computational Linguistics, or a related field with a specialization in NLP.
• 3+ years of experience in developing and deploying NLP models and applications.
• Proficiency in Python and relevant NLP libraries (e.g., NLTK, SpaCy, Hugging Face Transformers).
• Strong experience with deep learning frameworks like TensorFlow or PyTorch.
• Familiarity with text data preprocessing, feature extraction techniques, and evaluation metrics.
• Excellent problem-solving skills and the ability to work effectively in a fully remote team environment.

Responsibilities

• Develop and implement NLP models for tasks such as text classification, named entity recognition, sentiment analysis, and machine translation.
• Utilize deep learning frameworks (e.g., Transformers, BERT, GPT) to build state-of-the-art models.
• Process and analyze large volumes of text data, ensuring data quality and preprocessing for model training.
• Collaborate with software engineers to integrate NLP models into production applications and APIs.
• Evaluate and fine-tune NLP models to improve performance, accuracy, and efficiency.
• Stay current with the latest research and trends in NLP and language technologies.

Skills

NLP model development

Python

Deep learning

Transformer models

Text processing

Remote collaboration

Education

Master's or PhD in CS/Computational Linguistics

Tools

NLTK

SpaCy

Hugging Face Transformers

TensorFlow

PyTorch

Job description

About the Role

Our client is a trailblazer in AI & Emerging Technologies , seeking a skilled Remote Natural Language Processing (NLP) Engineer to contribute to their innovative projects. In this role, you will focus on designing, developing, and deploying NLP models and applications that enable sophisticated understanding and generation of human language. You will work remotely, collaborating with a distributed team of data scientists, engineers, and product managers to enhance chatbots, text analytics tools, sentiment analysis systems, and more. Your contributions will be vital in building intelligent systems that can effectively process and interact with textual data, driving the company's advancements in conversational AI and language understanding.

Key Responsibilities

• Develop and implement NLP models for tasks such as text classification, named entity recognition, sentiment analysis, and machine translation.
• Utilize deep learning frameworks (e.g., Transformers, BERT, GPT) to build state-of-the-...
• Process and analyze large volumes of text data, ensuring data quality and preprocessing for model training.
• Collaborate with software engineers to integrate NLP models into production applications and APIs.
• Evaluate and fine-tune NLP models to improve performance, accuracy, and efficiency.
• Stay current with the latest research and trends in NLP and language technologies.

Requirements

• Master's or PhD in Computer Science, Computational Linguistics, or a related field with a specialization in NLP.
• 3+ years of experience in developing and deploying NLP models and applications.
• Proficiency in Python and relevant NLP libraries (e.g., NLTK, SpaCy, Hugging Face Transformers).
• Strong experience with deep learning frameworks like TensorFlow or PyTorch.
• Familiarity with text data preprocessing, feature extraction techniques, and evaluation metrics.
• Excellent problem-solving skills and the ability to work effectively in a fully remote team environment.

Benefits

• Competitive salary and performance-based incentives.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and flexible remote working hours.
• Professional development budget for continuous learning and skill enhancement.
• Opportunity to work on impactful NLP projects and influence the direction of AI language technologies.
• Supportive and collaborative remote team culture.