ML Engineer: Craft Scalable AI Solutions

Placements24; Centurion; On-site; ZAR 800,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Challenging AI projects

Collaborative environment

Professional development

Centurion office

Job summary

Placements24 in Centurion is seeking a talented Machine Learning Engineer to join our data science team. You will develop, deploy, and maintain ML models and systems powering intelligent features and data-driven decisions across our organization.

You will collaborate with data scientists, software engineers, and product managers to prototype, test, and scale AI solutions. The role offers a dynamic, collaborative environment with opportunities for professional growth.

Qualifications

• Bachelor's or Master's degree in a quantitative field.
• 2+ years of hands-on ML engineering or ML-focused software development.
• Proficiency in Python and ML libraries (Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of ML algorithms, statistical modeling, and data mining techniques.
• Experience with data manipulation tools and databases (SQL, NoSQL).
• Familiarity with cloud platforms and MLOps is a plus.

Responsibilities

• Build and deploy production-ready ML models and pipelines.
• Develop and maintain ML infrastructure, ensuring scalability, performance, and reliability.
• Collaborate with data scientists to prototype, test, and validate new ML algorithms.
• Implement data preprocessing, feature engineering, and model evaluation strategies.
• Monitor and optimize deployed ML models for performance and accuracy.
• Write clean, well-documented, and maintainable code for ML systems.

Skills

Python

ML Libraries

TensorFlow

PyTorch

Data Preprocessing

SQL/NoSQL

Cloud platforms

MLOps basics

Education

Bachelor's or Master's in CS/Engineering/Data Science

Tools

AWS

Azure

GCP

Docker

Kubernetes

Job description

Placements24 in Centurion is seeking a talented Machine Learning Engineer to join our data science team. You will develop, deploy, and maintain ML models and systems powering intelligent features and data-driven decisions across our organization.

You will collaborate with data scientists, software engineers, and product managers to prototype, test, and scale AI solutions. The role offers a dynamic, collaborative environment with opportunities for professional growth.