Machine Learning Engineer - NLP Focus

Placements24; Gauteng; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Remote work

Stock options

Health insurance

Professional development budget

Conferences access

Cutting-edge AI tools

Job summary

Placements24 in South Africa is seeking a talented Machine Learning Engineer specializing in NLP to join our innovative team in Gauteng. You will develop and deploy advanced NLP models to enhance user experience and deliver business insights.

The role requires 2+ years of hands-on NLP experience, strong Python and ML library skills, and experience with cloud platforms and MLOps. You will design data pipelines, collaborate with product and software teams, and optimize models for production.

Qualifications

• Bachelor’s or Master’s in CS, Linguistics or related field with NLP focus.
• 2+ years hands-on NLP model development and deployment experience.
• Proficiency in Python and ML/NLP libraries (spaCy, NLTK, Transformers).

Responsibilities

• Develop, train, and deploy NLP models for tasks like sentiment analysis, classification, NER, and QA.
• Design and implement scalable data pipelines for large text datasets.
• Collaborate with product managers and software engineers to define NLP requirements.
• Stay updated on NLP research and apply findings to practical challenges.
• Optimize model performance for speed, accuracy, and production readiness.
• Conduct experiments and rigorous evaluations of NLP solutions.

Skills

NLP concepts

Python

spaCy

NLTK

Transformers

scikit-learn

TensorFlow

PyTorch

MLOps

Cloud platforms

Data pipelines

Education

Bachelor's or Master's in CS/Linguistics/NLP

Tools

AWS

Azure

GCP

Docker

Kubernetes

Job description

About the Role

Our client is seeking a talented Machine Learning Engineer with a specialization in Natural Language Processing (NLP) to join their innovative team in Tembisa . This role is crucial for developing and deploying sophisticated NLP models that enhance user experience and drive business insights. You will be instrumental in building scalable systems that process and understand human language, contributing directly to the company's AI strategy. The ideal candidate is passionate about NLP advancements and possesses a strong engineering background to bring these models to life in real-world applications.

Key Responsibilities

• Develop, train, and deploy machine learning models for various NLP tasks, including sentiment analysis, text classification, entity recognition, and question answering.
• Design and implement efficient data pipelines for processing and preparing large volumes of text data.
• Collaborate with product managers and software engineers to define NLP requirements and integrate models into product features.
• Stay abreast of the latest advancements in NLP research and apply them to practical challenges.
• Optimize model performance for speed, accuracy, and scalability in production environments.
• Conduct experiments and rigorous evaluations to measure the effectiveness of NLP solutions.

Requirements

• Bachelor's or Master's degree in Computer Science, Linguistics, or a related field with a focus on NLP.
• 2+ years of hands-on experience in developing and deploying NLP models.
• Proficiency in Python and relevant ML/NLP libraries such as spaCy, NLTK, Hugging Face Transformers, scikit-learn, TensorFlow, or PyTorch.
• Strong understanding of NLP concepts, algorithms, and deep learning architectures (e.g., LSTMs, Transformers).
• Experience with cloud platforms and MLOps practices for model deployment and monitoring.
• Excellent analytical and problem‑solving abilities, with a keen eye for detail.

Benefits

• Competitive salary and potential for stock options.
• Fully remote work environment offering maximum flexibility.
• Comprehensive medical, dental, and vision insurance.
• Generous budget for professional development, including courses and conferences.
• Collaborative and inclusive team culture that values innovation.
• Access to cutting-edge tools and technologies in the AI space.