Lead NLP Architect: AI Solutions & Team Leadership

Placements24; George; On-site; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Medical & Dental coverage

Performance-based bonus

Paid time off

Job summary

Placements24 in George, Western Cape seeks a visionary Lead NLP Engineer to lead NLP initiatives and build advanced NLP solutions that power intelligent applications. You will lead a team of engineers and researchers, driving innovation and ensuring successful deployment of cutting-edge NLP technologies.

The role requires a strong academic background and 5+ years in NLP, with expertise in Python and ML frameworks, and familiarity with cloud and MLOps practices.

Qualifications

• Master's or PhD in CS, AI, or computational linguistics required.
• 5+ years of NLP production experience required.
• Proficiency in Python and ML/NLP libraries.
• Experience leading technical teams and projects.

Responsibilities

• Lead design, development, and deployment of NLP models and systems.
• Architect solutions for text classification, NER, translation, QA.
• Develop and fine-tune large language models for business use cases.
• Mentor NLP engineers and guide career development.
• Collaborate with product managers and data scientists on roadmaps.
• Ensure scalability and performance of NLP services in production.
• Stay updated on NLP research and industry trends.
• Conduct rigorous testing for model accuracy and robustness.
• Promote best practices in software engineering and MLOps.

Skills

NLP System Design

Team Leadership

Python

Machine Learning

Communication

Education

Master's or PhD in CS/AI/Computational Linguistics

Tools

TensorFlow

PyTorch

HuggingFace Transformers

spaCy

Job description

Placements24 in George, Western Cape seeks a visionary Lead NLP Engineer to lead NLP initiatives and build advanced NLP solutions that power intelligent applications. You will lead a team of engineers and researchers, driving innovation and ensuring successful deployment of cutting-edge NLP technologies.

The role requires a strong academic background and 5+ years in NLP, with expertise in Python and ML frameworks, and familiarity with cloud and MLOps practices.