AI/ML Engineer - NLP Focus

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

Benefits offered by this job

Competitive salary

Medical, dental, and vision insurance

Professional development

Collaborative work culture

Flexible working hours

Job summary

Placements24 in Klerksdorp is seeking a talented AI/ML Engineer with a strong NLP focus to join our team. You will develop and deploy NLP models that enhance customer interactions and automate text-based processes in a forward-thinking environment.

Collaborate with engineers and product managers, stay ahead of NLP advances, and design scalable data pipelines. Requires 3+ years in AI/ML, Python, and experience with spaCy, NLTK, and Hugging Face.

Qualifications

• Bachelor's or Master's degree in Computer Science, Linguistics, or a related field.
• 3+ years of professional experience in AI/ML engineering with a specialization in NLP.
• Strong programming skills in Python and experience with NLP libraries (e.g., spaCy, NLTK, Hugging Face Transformers).
• Familiarity with deep learning frameworks like TensorFlow or PyTorch.
• Experience with data preprocessing and feature engineering for text data.
• Understanding of NLP techniques, including embeddings, transformers, and sequence models.

Responsibilities

• Develop, train, and fine-tune NLP models for tasks such as sentiment analysis, text classification, and named entity recognition.
• Build and maintain robust data pipelines for processing and analyzing large volumes of text data.
• Implement and optimize NLP algorithms for production environments, ensuring scalability and efficiency.
• Collaborate with software engineers to integrate NLP capabilities into applications and services.
• Stay updated on the latest advancements in NLP research and tooling.
• Contribute to the design and architecture of AI-powered language solutions.

Skills

Python

NLP/Text Processing

Data preprocessing

Education

Bachelor's or Master's degree in Computer Science, Linguistics, or related field

Tools

SpaCy

NLTK

Hugging Face Transformers

TensorFlow

PyTorch

Job description

About the Role

Our client is looking for a talented and motivated AI/ML Engineer with a strong focus on Natural Language Processing (NLP) to join their team in Klerksdorp . You will play a key role in developing and deploying NLP models and applications that enhance customer interaction and automate complex text-based processes. This position offers the chance to work on challenging problems using state-of-the-art NLP techniques and contribute to innovative AI solutions. You will collaborate with engineers and product managers to bring intelligent language understanding capabilities to life within a forward-thinking company.

Key Responsibilities

• Develop, train, and fine-tune NLP models for tasks such as sentiment analysis, text classification, and named entity recognition.
• Build and maintain robust data pipelines for processing and analyzing large volumes of text data.
• Implement and optimize NLP algorithms for production environments, ensuring scalability and efficiency.
• Collaborate with software engineers to integrate NLP capabilities into applications and services.
• Stay updated on the latest advancements in NLP research and tooling.
• Contribute to the design and architecture of AI-powered language solutions.

Requirements

• Bachelor's or Master's degree in Computer Science, Linguistics, or a related field.
• 3+ years of professional experience in AI/ML engineering with a specialization in NLP.
• Strong programming skills in Python and experience with NLP libraries (e.g., spaCy, NLTK, Hugging Face Transformers).
• Familiarity with deep learning frameworks like TensorFlow or PyTorch.
• Experience with data preprocessing and feature engineering for text data.
• Understanding of various NLP techniques, including embeddings, transformers, and sequence models.

Benefits

• Competitive salary and performance incentives.
• Comprehensive medical, dental, and vision insurance.
• Opportunities for professional development and continuous learning.
• A collaborative and innovative work culture fostering growth.
• Flexible working hours and a supportive team environment.