NLP Engineer

Placements24; Kimberley; Hybrid; CAD 95,000 - 120,000; Full time

Benefits offered by this job

Hybrid work model

Health benefits

Professional development

Conference opportunities

Job summary

Placements24 is seeking an NLP Engineer to join our innovative Kimberley team. You will develop and deploy NLP models for tasks like text classification, entity recognition, and QA, collaborating with data scientists and software engineers.

You will work with state-of-the-art techniques (Transformers, RNNs) and handle large-scale text data. The role offers a hybrid model with in-office collaboration and remote work opportunities to balance productivity and flexibility.

Qualifications

• Bachelor's or Master's degree in Computer Science, Linguistics, or a related field.
• Proven experience in Natural Language Processing and developing NLP models.
• Proficiency in Python and NLP libraries such as NLTK, spaCy, Hugging Face Transformers.
• Experience with machine learning frameworks like TensorFlow or PyTorch.
• Familiarity with data preprocessing and text representation techniques.
• Strong analytical skills and ability to work on complex language data challenges.

Responsibilities

• Develop, train, and deploy NLP models for text classification, entity recognition, and question answering.
• Implement and fine-tune state-of-the-art NLP techniques and architectures (Transformers, RNNs, LSTMs).
• Process and analyze large volumes of text data to extract meaningful insights.
• Collaborate with software engineers to integrate NLP models into production applications.
• Evaluate model performance and iterate to improve accuracy and efficiency.
• Stay current with the latest NLP research and advancements.

Skills

NLP

Python

Transformers

SpaCy

NLTK

TensorFlow

PyTorch

Text preprocessing

Education

Bachelor's degree

Master's degree

Tools

Hugging Face Transformers

Job description

About the Role

Our client is looking for a talented NLP Engineer to join their innovative team in Kimberley . This role focuses on developing and implementing natural language processing models and applications to understand and process human language. You will work on exciting projects involving text analysis, sentiment analysis, machine translation, and conversational AI. Collaborating closely with data scientists and software engineers, you will help build sophisticated language-based features that enhance user interaction and drive business value. The hybrid work model offers a flexible approach, combining in-office collaboration with remote work opportunities.

Key Responsibilities

• Develop, train, and deploy NLP models for various tasks such as text classification, entity recognition, and question answering.
• Implement and fine-tune state-of-the-art NLP techniques and architectures (e.g., Transformers, RNNs, LSTMs).
• Process and analyze large volumes of text data to extract meaningful insights.
• Collaborate with software engineers to integrate NLP models into production applications.
• Evaluate the performance of NLP models and iterate to improve accuracy and efficiency.
• Stay current with the latest research and advancements in NLP and related fields.

Requirements

• Bachelor's or Master's degree in Computer Science, Linguistics, or a related field.
• Proven experience in Natural Language Processing and developing NLP models.
• Proficiency in Python and NLP libraries such as NLTK, spaCy, Hugging Face Transformers.
• Experience with machine learning frameworks like TensorFlow or PyTorch.
• Familiarity with data preprocessing and text representation techniques.
• Strong analytical skills and ability to work on complex language data challenges.

Benefits

• Competitive salary and performance-based incentives.
• Hybrid work model for a balanced work-life integration.
• Comprehensive health and retirement benefits.
• Opportunities for professional growth and attending AI/NLP conferences.
• Engage with challenging and impactful NLP projects.