Applied ML Engineer: Production Pipelines & Growth

Placements24; Kempton Park; On-site; ZAR 650,000 - 1,200,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Annual leave

Learning opportunities

Job summary

Placements24 is seeking a dedicated Machine Learning Engineer for its team in Tembisa, South Africa. You will develop, train, and deploy scalable ML models that power intelligent features across platforms, collaborating with data scientists and software engineers to translate complex algorithms into production-grade code.

The role emphasizes applied AI, with opportunities to advance skills, work on cutting-edge projects, and contribute to a supportive company culture.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• At least 2 years of professional ML engineering experience.
• Strong Python programming and ML library experience (scikit-learn, TensorFlow, PyTorch).
• Experience deploying ML models to production and cloud platforms (AWS/Azure/GCP).

Responsibilities

• Develop, train, and deploy ML models for various applications.
• Prototype and validate new ML algorithms with data scientists.
• Design scalable ML pipelines and production-grade code.
• Monitor model performance and retrain for improvements.
• Contribute to ML infrastructure design and architecture.
• Write clean, well-documented code following best practices.

Skills

Python programming

Collaboration

Problem solving

Education

Bachelor's or Master's in CS/Engineering

Tools

scikit-learn

TensorFlow

PyTorch

Pandas

SQL

AWS/GCP/Azure

Job description

Placements24 is seeking a dedicated Machine Learning Engineer for its team in Tembisa, South Africa. You will develop, train, and deploy scalable ML models that power intelligent features across platforms, collaborating with data scientists and software engineers to translate complex algorithms into production-grade code.

The role emphasizes applied AI, with opportunities to advance skills, work on cutting-edge projects, and contribute to a supportive company culture.