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Senior Machine Learning Engineer

3 weeks ago


Johannesburg, Gauteng, South Africa E-Merge Full time

The ideal candidate for this Senior Data Scientist role at E-Merge will be responsible for crafting innovative Machine Learning solutions using Microsoft Azure. This position offers a unique chance to work with a talented team, leveraging large datasets and advanced statistical techniques to drive business growth.

Key Responsibilities:

  • Establish and maintain efficient Data Lakes on Microsoft Azure.
  • Streamline data ingestion from various sources, including sensors, databases, and logs, using Azure Data Factory or Azure Stream Analytics.
  • Transform and prepare high-quality data for machine learning models.
  • Optimize model performance through feature selection and data engineering techniques.
  • Develop, deploy, and refine predictive machine learning models on Azure.
  • Monitor and maintain models, setting up alerts for anomalies and performance drifts.
  • Seamlessly integrate AI/ML insights into business applications to drive strategic decision-making.

Requirements:

  • Bachelor's degree in Data Analytics, Statistics, Actuarial Science, Computational Mathematics, Quantitative Fields, Computer Science, or Finance.
  • Strong foundation in machine learning, AI, and data analytics principles.
  • Technical Proficiency:
    • Expertise in Python, Spark, Azure AI/ML services, and Power BI.
    • Experience with real-time data processing, IoT, and sensor data pipelines (advantageous).
  • Business & Soft Skills:
    • Strong problem-solving and decision-making abilities.
    • Ability to communicate complex AI insights to stakeholders.
    • Excellent collaboration skills for effective teamwork.

This is a contract position in Sandton, Johannesburg, offering a competitive compensation package negotiable on experience and ability.