Machine Learning Engineer - NLP Specialization

Placements24; George; On-site; ZAR 800,000 - 1,100,000; Full time

Benefits offered by this job

Medical aid

Retirement fund

Job summary

Placements24 is seeking a Machine Learning Engineer specialized in NLP to join our George, Western Cape team. You will develop, train, and deploy NLP models for tasks such as text classification, sentiment analysis, NER, and QA, while building robust data pipelines for text data collection and preprocessing.

You will optimize models for performance and scalability and collaborate with product teams to translate user needs into NLP features.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Computational Linguistics, Data Science, or related field.
• Proven experience developing and deploying NLP models in production.
• Strong NLP concepts, algorithms and libraries (NLTK, spaCy, Hugging Face Transformers).
• Proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Keras.
• Experience with data manipulation tools (Pandas, NumPy).
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.

Responsibilities

• Develop, train, and deploy ML models for NLP tasks (text classification, sentiment analysis, NER, QA).
• Build and maintain data pipelines for text data collection and preprocessing.
• Optimize models for performance, scalability, and efficiency.
• Collaborate with product teams to translate user needs into NLP features.
• Implement and evaluate advanced NLP techniques (transformers, embeddings, language generation).
• Work with large datasets ensuring data quality and integrity.

Skills

NLP development

Python

TensorFlow

PyTorch

Hugging Face Transformers

Data pipelines

Education

Bachelor's or Master's in CS/Computing

Tools

NLTK

spaCy

Hugging Face

Job description

About the Role

Our client is at the forefront of leveraging artificial intelligence to revolutionize the industry. We are seeking a talented Machine Learning Engineer with a specialization in Natural Language Processing (NLP) to join our innovative team in George, Western Cape . This role is crucial for developing and deploying sophisticated NLP models that power our next-generation products and services. You will work closely with data scientists and software engineers to build scalable, high-performance machine learning systems. This is a unique opportunity to contribute to impactful projects and grow your career within a forward-thinking technology company that values innovation and collaboration. The ideal candidate will possess a strong blend of theoretical knowledge and practical implementation skills in NLP and ML engineering.

Key Responsibilities

• Develop, train, and deploy machine learning models for various NLP tasks, including text classification, sentiment analysis, named entity recognition, and question answering.
• Build and maintain robust data pipelines for collecting, cleaning, and preprocessing text data.
• Optimize machine learning models for performance, scalability, and efficiency.
• Collaborate with product teams to understand user needs and translate them into technical requirements for NLP features.
• Implement and evaluate advanced NLP techniques, such as transformers, word embeddings, and language generation models.
• Work with large datasets, ensuring data quality and integrity throughout the ML lifecycle.
• Contribute to the design and architecture of our ML infrastructure, focusing on NLP applications.
• Monitor deployed models, troubleshoot issues, and implement improvements to maintain high accuracy and reliability.

Requirements

• Bachelor's or Master's degree in Computer Science, Computational Linguistics, Data Science, or a related field.
• Proven experience in developing and deploying NLP models in a production environment.
• Strong understanding of NLP concepts, algorithms and libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
• Proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Keras.
• Experience with data manipulation and analysis tools (e.g., Pandas, NumPy).
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Excellent problem-solving abilities and a keen eye for detail.
• Strong communication skills and the ability to work effectively in a team-oriented environment.

Benefits

Our client offers a competitive salary package, comprehensive medical aid, and retirement fund benefits. Employees are provided with opportunities for continuous professional development, including access to training programs and industry conferences. A dynamic work environment with a focus on cutting-edge technology and collaborative teamwork in George . We foster a culture that encourages innovation and rewards performance. This role is based in our modern George office.