Senior Machine Learning Engineer - NLP & Deep Learning

Placements24

Randburg

Presencial

ZAR 900 000 - 1 500 000

Tempo integral

Há 5 dias
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Vantagens oferecidas por esta oferta de emprego

Competitive salary and bonus
Medical, dental, and vision coverage
Retirement plan
Learning and development
Randburg office

Resumo da oferta

Placements24 is seeking a Senior Machine Learning Engineer in Randburg, Gauteng, focused on NLP and deep learning. You will architect, build and deploy scalable NLP models powering cutting edge applications, collaborating with data scientists and software engineers.

The role demands strong coding practices and cloud experience. As a senior contributor, you will mentor juniors, improve ML pipelines, and stay current with research in NLP and DL.

Qualificações

  • Master's or PhD in Computer Science, AI, or related field.
  • 5+ years of machine learning engineering experience with NLP and DL focus.
  • Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Keras, and Hugging Face Transformers.
  • Strong understanding of NLP techniques, language models and text representations.

Responsabilidades

  • Design, develop and deploy NLP ML models (classification, sentiment, entity recognition).
  • Implement deep learning architectures (Transformers, LSTMs, CNNs) for NLP tasks.
  • Build robust data pipelines for NLP model training and evaluation.
  • Optimize model performance for accuracy, latency and resources.

Conhecimentos

NLP expertise
Deep learning
Python
Transformers

Formação académica

Master's or PhD in CS/AI

Ferramentas

TensorFlow
PyTorch
Keras
Git

Descrição da oferta de emprego

About the Role

Our client, a dynamic innovator in AI-driven solutions, is seeking a highly skilled Senior Machine Learning Engineer with deep expertise in Natural Language Processing (NLP) and Deep Learning. This role, based in **Randburg, Gauteng**, involves the end-to-end development and deployment of advanced NLP models that power sophisticated applications. You will be responsible for architecting, building, and optimizing ML systems, working closely with data scientists and software engineers to deliver state-of-the‑art solutions. This is a prime opportunity to contribute to impactful projects and drive innovation in the field of AI from our **Randburg** offices.

Key Responsibilities
  • Design, develop, and deploy scalable machine learning models for NLP tasks, including text classification, sentiment analysis, and entity recognition.
  • Implement and fine-tune deep learning architectures such as Transformers, LSTMs, and CNNs for various NLP applications.
  • Build robust data pipelines for training and evaluating NLP models.
  • Optimize model performance for accuracy, latency, and resource utilization.
  • Collaborate with product managers and stakeholders to define project requirements and deliverables.
  • Stay current with the latest research and advancements in NLP and deep learning.
  • Mentor junior engineers and contribute to best practices in ML engineering.
  • Ensure the reliability and maintainability of deployed ML systems.
Requirements
  • Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Proven experience (5+ years) in machine learning engineering, with a strong focus on NLP and deep learning.
  • Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Keras, and Hugging Face Transformers.
  • Deep understanding of NLP techniques, language models, and text representation methods.
  • Experience with cloud platforms (AWS, Azure, GCP) and MLOps principles is highly desirable.
  • Strong software engineering skills, including version control (Git) and CI/CD.
  • Excellent problem-solving and analytical abilities.
  • Effective communication and teamwork skills.
Benefits
  • Competitive salary and attractive bonus structure.
  • Comprehensive medical, dental, and vision coverage.
  • Generous paid time off and retirement plan.
  • Opportunities for continuous learning and professional development.
  • A dynamic and collaborative work environment in **Randburg, Gauteng**.
  • Access to cutting-edge AI technologies and resources.
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