Machine Learning Engineer

Placements24

Pretoria

Hybrid

ZAR 700,000 - 900,000

Full time

4 days ago
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Benefits offered by this job

Competitive salary
Performance bonuses
Professional development opportunities
Medical & retirement benefits

Job summary

Placements24 is seeking a talented Machine Learning Engineer to build, deploy, and maintain ML models in Centurion. You will work with data scientists and software engineers to ensure robust, scalable AI systems in production.

The role emphasizes Python proficiency, ML algorithms, and experience with ML frameworks. Cloud familiarity and containerization are a plus, with competitive compensation and growth opportunities.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, or related field.
  • 2+ years of experience in machine learning engineering or similar role.
  • Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch).
  • Solid understanding of ML principles, algorithms, and statistical modeling.
  • Experience with data processing, feature engineering, and model deployment.
  • Familiarity with cloud platforms and containerization is a plus.

Responsibilities

  • Develop, train, and deploy machine learning models.
  • Implement and maintain production ML pipelines with data preprocessing and feature engineering.
  • Optimize models for performance, scalability, and efficiency in production.
  • Collaborate with data scientists to experiment with new algorithms.
  • Build tools/frameworks to support ML lifecycle from experimentation to deployment.
  • Monitor model performance in production and retrain as needed.

Skills

Python
ML libraries: scikit-learn
ML libraries: TensorFlow
ML libraries: PyTorch
ML principles & algorithms
Data processing & feature engineering
Model deployment
Cloud platforms
Containerization

Education

Bachelor's or Master's in CS/DS

Tools

Docker
Kubernetes

Job description

About the Role

Our client is seeking a talented and motivated Machine Learning Engineer to contribute to their advanced AI initiatives in Centurion. In this role, you will be responsible for building, deploying, and maintaining machine learning models and systems that drive key business functionalities. You will work closely with data scientists and software engineers to ensure the seamless integration of ML models into production environments. This is an exciting opportunity to work on challenging problems, leverage cutting-edge technologies, and make a significant impact. The ideal candidate possesses strong programming skills, a deep understanding of ML algorithms, and a passion for creating robust, scalable AI systems.

Key Responsibilities
  • Develop, train, and deploy machine learning models using various algorithms and techniques.
  • Implement and maintain production-level ML pipelines, including data preprocessing, feature engineering, and model evaluation.
  • Optimize ML models for performance, scalability, and efficiency in production environments.
  • Collaborate with data scientists to experiment with new algorithms and approaches.
  • Build tools and frameworks to support the ML lifecycle, from experimentation to deployment.
  • Monitor model performance in production and implement necessary updates or retraining.
Requirements
  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • 2+ years of experience in machine learning engineering or a similar role.
  • Proficiency in Python and experience with ML libraries such as scikit-learn, TensorFlow, or PyTorch.
  • Solid understanding of machine learning principles, algorithms, and statistical modeling.
  • Experience with data processing, feature engineering, and model deployment.
  • Familiarity with cloud platforms and containerization technologies is a plus.
Benefits
  • Competitive salary and performance bonuses.
  • Opportunity to work with a leading AI team on impactful projects.
  • Access to advanced tools and technologies.
  • Comprehensive medical and retirement benefits.
  • Professional development opportunities and conference attendance.
  • A dynamic and innovative work environment located in Centurion.
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