Machine Learning Engineer

Placements24; South Africa; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Retirement plan

Hybrid work model

Learning opportunities

Job summary

Placements24 in South Africa is seeking a talented Machine Learning Engineer to join its dynamic team in Tembisa on a hybrid schedule. You will work on challenging AI projects, developing and deploying sophisticated ML models in production.

Collaborate with data scientists, software engineers and product managers to translate data into impactful features. A strong background in Python, ML libraries, cloud platforms, and MLOps is essential for success.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in machine learning engineering or data science.
• Proficiency in Python and ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Strong understanding of ML algorithms, statistical modeling, and data structures.

Responsibilities

• Develop, train, and deploy machine learning models using various algorithms and frameworks.
• Build and maintain scalable data pipelines for model training and inference.
• Collaborate with software engineers to integrate ML models into production systems.
• Monitor model performance, identify drift, and implement retraining strategies.
• Conduct A/B tests and experiments to evaluate the impact of ML models.

Skills

3+ years experience in ML

Education

Bachelor’s or Master’s degree in CS/Engineering

Tools

Python

Scikit-learn

TensorFlow

PyTorch

AWS/Azure/GCP

MLOps

Job description

About the Role

Our client is seeking a talented Machine Learning Engineer to join their dynamic team in Tembisa . This hybrid role offers the opportunity to work on challenging AI projects, contributing to the development and deployment of sophisticated machine learning models. You will collaborate closely with data scientists, software engineers, and product managers to bring innovative AI-driven features to life. We are looking for an individual who is passionate about applying ML techniques to real-world problems and thrives in a collaborative, forward-thinking environment.

Key Responsibilities

• Develop, train, and deploy machine learning models using various algorithms and frameworks.
• Build and maintain scalable data pipelines for model training and inference.
• Collaborate with software engineers to integrate ML models into production systems.
• Monitor model performance, identify drift, and implement retraining strategies.
• Conduct A/B tests and experiments to evaluate the impact of ML models.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in machine learning engineering or data science.
• Proficiency in Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Strong understanding of ML algorithms, statistical modeling, and data structures.

Benefits

• Competitive salary and performance bonuses.
• Comprehensive health insurance and retirement plan.
• Opportunities for professional growth and learning.
• Hybrid work model balancing in-office collaboration and remote flexibility.
• Access to cutting-edge technology and training resources.