Senior ML Engineer - Predictive AI & Data

Srg Recruitment (Pty) Ltd; Durban; Vor Ort; ZAR 600.000 - 900.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Health insurance

Learning budget

Access to computing resources

Zusammenfassung

Our client, in Durban, seeks a Data Scientist focused on Machine Learning to develop and deploy models that extract actionable insights from large datasets. You will work with stakeholders to define problems and deliver data-driven solutions enhancing products and growth.

The role emphasizes statistical modeling, predictive analytics, and collaboration with engineering teams in a research-oriented environment.

Qualifikationen

• PhD or Master's degree in Data Science, Statistics, Computer Science, or related quantitative field.
• 5+ years of experience applying machine learning to real-world business problems.
• Strong proficiency in Python or R with libraries like scikit-learn, TensorFlow, and PyTorch.
• Solid understanding of statistics, experimental design, and data mining techniques.
• Experience with big data technologies (Spark, Hadoop) and SQL.

Aufgaben

• Design, develop, and deploy machine learning models for predictive analytics, classification, and clustering.
• Perform data exploration, cleaning, and feature engineering on diverse datasets.
• Evaluate model performance and iterate improvements using proper validation.
• Translate analytical findings into actionable recommendations for stakeholders.
• Collaborate with data engineers and software developers to integrate models into production systems.
• Stay updated on advancements in ML and AI research.

Kenntnisse

Python or R

Big data

SQL

Communication

Model deployment

Ausbildung

PhD or Master's in Data Science/Statistics/CS

Tools

scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

Jobbeschreibung

Our client, in Durban, seeks a Data Scientist focused on Machine Learning to develop and deploy models that extract actionable insights from large datasets. You will work with stakeholders to define problems and deliver data-driven solutions enhancing products and growth.

The role emphasizes statistical modeling, predictive analytics, and collaboration with engineering teams in a research-oriented environment.