Senior NLP Engineer

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

Benefits offered by this job

Performance bonus

Health insurance

Home office budget

Flexible hours

Global AI projects

Job summary

Placements24 is seeking a Senior NLP Engineer to join a remote-first engineering team. You will design, develop, and deploy advanced NLP models and applications handling large text datasets.

You will work with LLMs, transformers, and Python frameworks, collaborate with product managers, and build scalable data pipelines while staying current with NLP research. This role offers remote flexibility, competitive compensation, health coverage, and the opportunity to contribute to globally distributed

Qualifications

• Master's or PhD in Computer Science, Computational Linguistics, or a related field.
• 4+ years of professional experience in Natural Language Processing engineering.
• Strong programming skills in Python and familiarity with NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
• Experience with deep learning frameworks like TensorFlow or PyTorch for NLP tasks.

Responsibilities

• Develop and optimize NLP models for text classification, sentiment analysis, NER, and MT.
• Implement and fine-tune large language models (LLMs) and transformer architectures.
• Process, clean, and analyze large volumes of text data to extract features and insights.
• Collaborate with product managers and engineers to integrate NLP into products and tools.
• Design and implement efficient data pipelines for training and evaluating NLP models.
• Stay up-to-date with NLP research and apply it to practical problems.

Skills

Python

NLP libraries

Deep learning

Remote collaboration

Education

Master's or PhD in CS/Computational Linguistics

Tools

TensorFlow

PyTorch

Transformers

Job description

About the Role

Our client is looking for a highly skilled and motivated Senior NLP Engineer to join their remote-first engineering team. You will play a key role in designing, developing, and deploying cutting-edge Natural Language Processing models and applications. This position involves working with large text datasets, implementing state-of-the-art NLP techniques, and contributing to products that understand and process human language. If you are passionate about making computers understand text and speech, and thrive in a collaborative, remote environment, this is the opportunity for you. You will have the chance to make significant contributions to advanced AI projects from anywhere.

Key Responsibilities

• Develop and optimize NLP models for tasks such as text classification, sentiment analysis, named entity recognition, and machine translation.
• Implement and fine-tune large language models (LLMs) and transformer architectures for various text-based applications.
• Process, clean, and analyze large volumes of text data to extract meaningful features and insights.
• Collaborate with product managers and other engineers to integrate NLP capabilities into user-facing products and internal tools.
• Design and implement efficient data pipelines for training and evaluating NLP models.
• Stay up-to-date with the latest advancements in NLP research and apply them to solve practical problems.

Requirements

• Master's or Ph.D. in Computer Science, Computational Linguistics, or a related field.
• 4+ years of professional experience in Natural Language Processing engineering.
• Strong programming skills in Python and familiarity with NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
• Experience with deep learning frameworks like TensorFlow or PyTorch for NLP tasks.
• Solid understanding of linguistic principles and statistical methods for language processing.
• Proven ability to work effectively in a remote, collaborative team environment.

Benefits

• Competitive salary and performance bonuses, tailored for remote professionals.
• Comprehensive health insurance coverage.
• Generous budget for home office setup and professional development.
• Flexible working hours and the autonomy to manage your own schedule.
• Opportunity to work on impactful AI projects with a globally distributed team.