Senior ML Engineer – Scalable AI & Data Pipelines

Placements24

Durban

On-site

ZAR 600,000 - 900,000

Full time

4 days ago
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Benefits offered by this job

Competitive salary
Medical aid and pension
Training and industry conferences
Collaborative work environment
Access to advanced technology

Job summary

Placements24 in Durban is seeking a talented Machine Learning Engineer to join our expanding data science team. You will develop, deploy, and monitor ML models that solve real business problems, collaborating with data scientists, engineers, and product teams.

The role emphasizes scalable ML pipelines, feature engineering, and model governance, with opportunities to work on cutting-edge AI solutions in a dynamic environment.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 2+ years of professional experience in machine learning engineering.
  • Proficiency in Python and ML libraries such as TensorFlow, PyTorch, or scikit-learn.
  • Experience with cloud platforms (AWS, Azure, GCP) and data processing tools (e.g., Spark).

Responsibilities

  • Develop and productionize machine learning models for various applications, including predictive modeling and recommendation systems.
  • Implement and optimize ML algorithms, ensuring scalability and efficiency.
  • Collaborate with data scientists to preprocess data, perform feature engineering, and validate model performance.
  • Build and maintain robust data pipelines for ML model training and inference.
  • Monitor deployed models, troubleshoot issues, and implement improvements in Durban.

Skills

Python
Machine learning
Data preprocessing
Model deployment
Team collaboration

Education

Bachelor's or Master's degree in Computer Science or Engineering

Tools

TensorFlow
PyTorch
scikit-learn
Spark

Job description

Placements24 in Durban is seeking a talented Machine Learning Engineer to join our expanding data science team. You will develop, deploy, and monitor ML models that solve real business problems, collaborating with data scientists, engineers, and product teams.

The role emphasizes scalable ML pipelines, feature engineering, and model governance, with opportunities to work on cutting-edge AI solutions in a dynamic environment.

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