Anomaly Detection Engineer
Anicalls · Johannesburg
Posted 4 August 2026
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Anicalls is seeking an Anomaly Detection Engineer to design, develop, and deploy AI models that identify unusual transactions, system behavior, equipment failures, and operational anomalies. The ideal candidate should have hands-on experience with anomaly detection , Python , time-series analysis , feature engineering , and model monitoring.
Duties & Responsibilities
- Design and implement anomaly detection models for business and operational systems.
- Develop AI solutions using Python and time-series analytics.
- Perform feature engineering to improve model accuracy and detection capabilities.
- Monitor, validate, and optimize anomaly detection models in production.
- Analyze large datasets to identify trends, risks, and abnormal patterns.
- Collaborate with business, engineering, and data teams to deliver scalable AI solutions.
- Ensure model reliability, performance, and data quality.
Desired Experience & Qualification
- Up to 5 years of overall IT experience.
- Minimum 1–2 years of hands-on experience in Anomaly Detection , Machine Learning, or Data Science.
- Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Information Technology , or a related field.
- Certifications in Machine Learning, Data Science, Python, AWS, Azure, Google Cloud, or Databricks are an added advantage.