Senior AI Engineer - NLP Focus

Placements24; Benoni; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Remote work

Competitive salary

Professional development budget

Job summary

Placements24 is seeking a Senior AI Engineer specializing in NLP to join our fully remote team. You will design, implement, and deploy advanced NLP solutions that understand and generate human language, tackling text analysis, sentiment analysis, translation, and conversational AI.

The ideal candidate holds a Masters or PhD in CS or related field, with at least 5 years in AI/ML focusing on NLP, and strong Python expertise with TF/PyTorch and Hugging Face Transformers.

Qualifications

• Master's or Ph.D. in Computer Science, Computational Linguistics, or a related field.
• Minimum of 5 years of experience in AI/ML with a strong focus on Natural Language Processing.
• Proficiency in Python and key NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
• Experience with deep learning frameworks like TensorFlow or PyTorch.
• Solid understanding of language modeling, text representation techniques (e.g., word embeddings), and sequence-to-sequence models.
• Proven ability to deploy NLP models into production environments.

Responsibilities

• Design, develop, and implement cutting-edge NLP models and algorithms for various applications.
• Process and analyze large volumes of text data, extracting meaningful insights and features.
• Build and fine-tune language models (e.g., transformers, LSTMs) for tasks such as text classification, named entity recognition, and question answering.
• Develop conversational AI agents, chatbots, and virtual assistants.
• Collaborate with product managers and other engineers to define NLP requirements and integrate solutions into products.
• Stay updated with the latest research and advancements in NLP and apply them to improve model performance and capabilities.

Skills

Python

NLP libraries

Deep learning

Language modeling

Production deployment

Education

Master's or PhD in CS/Computational Linguistics

Tools

TensorFlow

PyTorch

Hugging Face Transformers

NLTK

spaCy

Job description

About the Role

Our client is seeking an accomplished Senior AI Engineer with a specialization in Natural Language Processing (NLP) to join their fully remote team. This role is central to developing and deploying advanced AI solutions that understand, interpret, and generate human language. You will work on challenging projects involving text analysis, sentiment analysis, machine translation, and conversational AI, leveraging state-of-the-art NLP techniques. The ideal candidate is a proactive problem-solver with extensive experience in NLP and a passion for building intelligent language systems that drive user engagement and business value, contributing remotely from anywhere.

Key Responsibilities

• Design, develop, and implement cutting-edge NLP models and algorithms for various applications.
• Process and analyze large volumes of text data, extracting meaningful insights and features.
• Build and fine-tune language models (e.g., transformers, LSTMs) for tasks such as text classification, named entity recognition, and question answering.
• Develop conversational AI agents, chatbots, and virtual assistants.
• Collaborate with product managers and other engineers to define NLP requirements and integrate solutions into products.
• Stay updated with the latest research and advancements in NLP and apply them to improve model performance and capabilities.

Requirements

• Master's or Ph.D. in Computer Science, Computational Linguistics, or a related field.
• Minimum of 5 years of experience in AI/ML, with a strong focus on Natural Language Processing .
• Proficiency in Python and key NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
• Experience with deep learning frameworks like TensorFlow or PyTorch.
• Solid understanding of language modeling, text representation techniques (e.g., word embeddings), and sequence-to-sequence models.
• Proven ability to deploy NLP models into production environments.

Benefits

• Highly competitive salary and comprehensive benefits package for remote employees.
• Flexible work hours and the ability to work from anywhere.
• Generous budget for professional development, conferences, and training.
• Access to advanced computational resources for AI development.
• Opportunity to work on impactful NLP projects with a talented, distributed team.