Machine Learning Engineer - NLP Focus

Placements24; Mtubatuba Local Municipality; Hybrid; ZAR 1,499,000 - 2,499,000; Full time

Benefits offered by this job

Competitive salary

Health, dental, and vision insurance

Flexible remote working arrangements

Opportunities for professional growth

Access to cutting-edge NLP tools and数据

Job summary

Placements24 is seeking a talented Machine Learning Engineer with a strong focus on NLP to join their remote-first team. You will develop and deploy NLP models powering chatbots, sentiment analysis, text generation, and information extraction.

You will work with Python and libraries like NLTK, SpaCy, and Hugging Face, using TensorFlow or PyTorch to productionize models. This role offers flexible remote working arrangements and growth opportunities.

Qualifications

• Bachelor's or Master's degree in Computer Science, Computational Linguistics, or a related field.
• 3+ years of experience in machine learning, with a specialization in NLP.
• Proficiency in Python and NLP libraries (NLTK, SpaCy, Hugging Face Transformers).
• Experience with deep learning frameworks like TensorFlow or PyTorch.
• Understanding of language modeling, text classification, named entity recognition, and other NLP tasks.
• Experience deploying ML models in a production environment, preferably in a remote setup.

Responsibilities

• Develop, train, and fine-tune NLP models using state-of-the-art techniques and frameworks.
• Build and maintain data pipelines for text data processing and model evaluation.
• Integrate NLP solutions into existing products and services.
• Optimize NLP models for performance, scalability, and accuracy.
• Collaborate with product managers and other engineers to define and implement new NLP features.
• Conduct research to stay current with the latest advancements in NLP and machine learning.

Skills

NLP expertise

Python programming

Machine learning

Deep learning

Education

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

Tools

NLTK

SpaCy

Hugging Face Transformers

TensorFlow

PyTorch

Job description

About the Role

Our client is looking for a talented Machine Learning Engineer with a strong focus on Natural Language Processing (NLP) to join their innovative team. This is a fully remote position, enabling you to contribute your expertise from anywhere. You will be instrumental in developing and deploying advanced NLP models that power intelligent applications, from chatbots and sentiment analysis to text generation and information extraction. This role is ideal for an engineer passionate about language technology and its potential to revolutionize communication and data analysis. You will work in a dynamic, remote-first environment, collaborating with a global team.

Key Responsibilities

• Develop, train, and fine-tune NLP models using state-of-the-art techniques and frameworks.
• Build and maintain data pipelines for text data processing and model evaluation.
• Integrate NLP solutions into existing products and services.
• Optimize NLP models for performance, scalability, and accuracy.
• Collaborate with product managers and other engineers to define and implement new NLP features.
• Conduct research to stay current with the latest advancements in NLP and machine learning.

Requirements

• Bachelor's or Master's degree in Computer Science, Computational Linguistics, or a related field.
• 3+ years of experience in machine learning, with a specialization in NLP.
• Proficiency in Python and relevant NLP libraries (e.g., NLTK, SpaCy, Hugging Face Transformers).
• Experience with deep learning frameworks like TensorFlow or PyTorch.
• Understanding of language modeling, text classification, named entity recognition, and other NLP tasks.
• Experience deploying ML models in a production environment, preferably in a remote setup.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Flexible remote working arrangements.
• Opportunities for professional growth and learning new technologies.
• Access to cutting-edge NLP tools and datasets.
• A supportive and innovative remote team culture.