ML Engineer: Predictive Analytics & Forecasting

Placements24; Klerksdorp; On-site; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Attractive compensation package and性能n

Job summary

Placements24 is seeking a skilled Machine Learning Engineer with a focus on predictive analytics to join its data science team in Klerksdorp. You will develop, deploy, and maintain ML models to uncover insights and drive data-driven decisions across the organization, working with large datasets and collaborating with stakeholders.

The role emphasizes building robust predictive systems that improve product performance and customer engagement, with a culture that values data integrity and

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
• Proven experience in building and deploying machine learning models, particularly for predictive tasks.
• Proficiency in Python and relevant ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical concepts, experimental design, and data analysis techniques.
• Experience with SQL and working with relational databases.

Responsibilities

• Develop and deploy machine learning models for predictive analytics and forecasting.
• Implement and optimize algorithms for data mining, classification, regression, and clustering.
• Work with large, complex datasets to extract meaningful insights and build data pipelines.
• Collaborate with data scientists and engineers to integrate ML models into production systems.
• Monitor model performance, conduct A/B testing, and retrain models as needed to maintain accuracy and relevance.

Skills

Python

Statistical analysis

Data wrangling

SQL

Education

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics

Tools

scikit-learn

TensorFlow

PyTorch

Job description

Placements24 is seeking a skilled Machine Learning Engineer with a focus on predictive analytics to join its data science team in Klerksdorp. You will develop, deploy, and maintain ML models to uncover insights and drive data-driven decisions across the organization, working with large datasets and collaborating with stakeholders.

The role emphasizes building robust predictive systems that improve product performance and customer engagement, with a culture that values data integrity and