Machine Learning Engineer

2 days ago


Johannesburg, Gauteng, South Africa Indsafri Full time

Key Responsibilities:

  • Design, develop, and deploy machine learning models for various business use cases.
  • Build and optimize data pipelines for training and inference of ML models.
  • Work with structured and unstructured data to preprocess and feature engineer datasets.
  • Optimize model performance and scalability for production deployment.
  • Implement A/B testing and model monitoring strategies to ensure continuous improvement.
  • Collaborate with data scientists to refine models and algorithms.
  • Deploy ML models using cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).
  • Research and stay up-to-date with the latest advancements in AI and ML.
  • Ensure compliance with data privacy and ethical AI guidelines.

Required Qualifications & Skills:

  • BSc in Computer Science, AI, Data Science, or a related field.
  • Proven experience in machine learning, deep learning, and statistical modelling.
  • Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience with data preprocessing, feature engineering, and model evaluation.
  • Knowledge of big data technologies (Spark, Hadoop) and databases (SQL, NoSQL).
  • Hands-on experience with cloud services (AWS, GCP, or Azure) and MLOps tools.
  • Familiarity with version control (Git), CI/CD pipelines, and containerization.
  • Strong problem-solving skills and ability to work in a fast-paced environment.
  • Excellent communication and teamwork skills.

Preferred Qualifications:

  • Experience in natural language processing (NLP), computer vision, or reinforcement learning.
  • Knowledge of model explainability, fairness, and AI ethics.
  • Experience with edge AI and on-device machine learning.
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