AI/ML Engineer - NLP Specialist

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

Benefits offered by this job

Competitive salary and incentives

Fully remote position with flexible/hy

Cutting-edge NLP projects with real‑世界

Support for continuous learning andCon

Collaborative and innovative team

Job summary

Placements24 is seeking a specialized AI/ML Engineer (NLP) to join a fully remote, high-performing team. You will design, develop, and deploy NLP models that enable machines to understand, interpret, and generate human language across products.

The role involves working with large text datasets, building state-of-the-art language models, and collaborating with cross-functional teams to integrate NLP capabilities into product features. A strong academic background and 3+ years in NLP are required.

Qualifications

• Master's or PhD in CS/Computational Linguistics or related field.
• 3+ years of AI/ML engineering experience with a focus on NLP.
• Strong Python programming skills and experience with NLP libraries (NLTK, spaCy, Transformers).
• Proficient with deep learning frameworks (TensorFlow, PyTorch) for NLP tasks.
• Experience preprocessing text data and handling large corpora.

Responsibilities

• Design, develop, and implement NLP models for text classification, sentiment analysis, translation, and QA.
• Utilize deep learning frameworks to build/finetune state-of-the-art language models (Transformers, BERT).
• Process and analyze large volumes of text data for model training.
• Collaborate with cross-functional teams to integrate NLP solutions into products.
• Evaluate model performance and continuously improve NLP systems.
• Stay updated with NLP research and advancements.

Skills

Python

NLTK

spaCy

Hugging Face Transformers

TensorFlow

PyTorch

Data preprocessing

Analytical skills

Education

Master's or PhD in CS or Computational Linguistics

Tools

NLTK

spaCy

Hugging Face Transformers

TensorFlow

PyTorch

Job description

About the Role

Our client is seeking a specialized AI/ML Engineer with expertise in Natural Language Processing (NLP) to join their fully remote, high-performing team. You will be instrumental in developing and deploying sophisticated NLP models that enable machines to understand, interpret, and generate human language. This role involves working with large text datasets, building advanced language models, and integrating these capabilities into innovative products. If you are passionate about the power of language and excited by the prospect of shaping the future of human-computer interaction through AI, this is the role for you.

Key Responsibilities

• Design, develop, and implement NLP models for tasks such as text classification, sentiment analysis, machine translation, and question answering.
• Utilize deep learning frameworks to build and fine-tune state-of-the-\u2014art language models (e.g., Transformers, BERT).
• Process and analyze large volumes of text data, ensuring data quality and relevance for model training.
• Collaborate with cross-functional teams to integrate NLP solutions into product features and applications.
• Evaluate model performance, troubleshoot issues, and continuously improve NLP systems.
• Stay current with the latest research and advancements in NLP and related AI fields.

Requirements

• Master's or Ph.D. in Computer Science, Computational Linguistics, or a related field.
• 3+ years of professional experience in AI/ML engineering with a focus on NLP.
• Strong programming skills in Python, with extensive experience using NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
• Proficiency with deep learning frameworks (TensorFlow, PyTorch) for NLP tasks.
• Experience with data preprocessing techniques for text data and handling large corpora.
• Excellent analytical skills and ability to work independently in a remote setting.

Benefits

• Competitive salary and performance-based incentives.
• Fully remote position offering flexibility and excellent work-life balance.
• Opportunity to work on cutting-edge NLP projects with real-world impact.
• Support for continuous learning, professional development, and conference participation.
• A collaborative and innovative team environment dedicated to advancing AI.