Senior NLP AI Engineer – Conversational AI Specialist

Placements24; Queenstown; On-site; NZD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive salary & bonuses

Health, dental & vision insurance

Generous paid time off

Job summary

Placements24 seeks a Senior AI Engineer (NLP) to design, implement, and deploy state-of-the-art language models in Queenstown, NZ. The role involves building NLP pipelines, handling large text datasets, and delivering production-ready services.

You will collaborate with researchers and engineers on text classification, sentiment analysis, NER, translation, and dialogue systems, while staying current with the latest NLP advances. Relocation support is available.

Qualifications

• Master's or Ph.D. in CS/AI/Linguistics with NLP focus.
• ≥5 years of NLP model development and production deployment.
• Proficiency with Python and NLP libraries (NLTK, SpaCy, Transformers).
• Experience with DL architectures for NLP (Transformers, LSTMs).
• Experience with cloud ML services.
• Strong problem-solving and communication skills.
• CI/CD and Git experience.

Responsibilities

• Design, implement, and deploy advanced NLP models and algorithms.
• Develop and optimize NLP pipelines for text processing and model training.
• Work with large-scale text datasets, ensuring data quality and relevance.
• Collaborate with product managers and engineers to define NLP requirements.
• Stay current with NLP research and advancements in ML and DL.
• Build production-level NLP services with scalability and reliability.
• Conduct experiments to evaluate and improve model performance.
• Contribute to the NLP roadmap and mentor junior engineers.

Skills

Python

NLTK

SpaCy

Transformers

TensorFlow

PyTorch

NLP pipelines

Cloud ML services

Education

Master's or PhD in CS/AI/Linguistics with NLP focus

Tools

AWS

Azure

GCP

Job description

Placements24 seeks a Senior AI Engineer (NLP) to design, implement, and deploy state-of-the-art language models in Queenstown, NZ. The role involves building NLP pipelines, handling large text datasets, and delivering production-ready services.

You will collaborate with researchers and engineers on text classification, sentiment analysis, NER, translation, and dialogue systems, while staying current with the latest NLP advances. Relocation support is available.