Machine Learning Engineer

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

About the Role

Our client is seeking a dedicated Machine Learning Engineer to join their growing technical team based in Tembisa. This role is crucial for building and deploying scalable machine learning models that drive intelligent features across our client's innovative platforms. You will work closely with data scientists and software engineers to translate complex algorithms into robust, production-grade code. This is an exciting opportunity for an individual passionate about applied AI to contribute to cutting-edge projects within a dynamic and supportive company culture, impacting the development of next-generation AI applications.

Key Responsibilities

• Develop, train, and deploy machine learning models for various applications, including predictive analytics and recommendation systems.
• Implement and optimize ML pipelines, ensuring scalability and efficiency in production environments.
• Collaborate with data scientists to prototype and validate new ML algorithms and techniques.
• Write clean, maintainable, and well-documented code, adhering to software engineering best practices.
• Monitor model performance in production and implement strategies for continuous improvement and retraining.
• Contribute to the design and architecture of ML infrastructure and systems.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• 2+ years of professional experience in machine learning engineering or a similar role.
• Strong programming skills in Python, with experience using ML libraries like scikit-learn, TensorFlow, or PyTorch.
• Proficiency in data manipulation and analysis using tools like Pandas and SQL.
• Experience with deploying ML models into production environments and using cloud platforms (AWS, Azure, GCP).
• Understanding of software development principles and practices.

Benefits

• Competitive salary package commensurate with experience.
• Full health, dental, and vision insurance coverage.
• Opportunities for professional growth and learning, including access to online courses and workshops.
• A collaborative and innovative work environment in Tembisa.
• Retirement fund contribution and paid annual leave.