AI Machine Learning Engineer

Recruiter:

Network Contracting

Job Ref:

NCM003410/TS

Date posted:

Monday, September 7, 2026

Location:

Johannesburg, South Africa

Salary:

Monthly

SUMMARY:
Ready to turn data into intelligent solutions that create real business impact? Join a forward-thinking technology company that is leveraging Machine Learning and AI to solve complex challenges, drive innovation, and shape the future.

POSITION INFO:
Our client is a technology-driven organisation at the forefront of digital transformation. They are looking for a Machine Learning Engineer to design, develop, and deploy scalable machine learning models that support business growth and enhance decision-making. You'll collaborate with data scientists, engineers, and business stakeholders to transform cutting-edge AI concepts into production-ready solutions. What's in It for You? Work on innovative AI and Machine Learning projects. Collaborative and highly skilled technology team. Exposure to the latest cloud and AI technologies. Opportunities for professional growth and continuous learning. Competitive salary and benefits package. Flexible and dynamic working environment. Key Responsibilities Design, develop, and deploy machine learning models for production environments. Build and maintain scalable ML pipelines and automated workflows. Collaborate with data engineers and data scientists to deliver end-to-end AI solutions. Optimise model performance, accuracy, and scalability. Monitor, maintain, and improve deployed machine learning systems. Implement MLOps best practices for model deployment and lifecycle management. Analyse large datasets to identify trends, patterns, and opportunities. Stay current with emerging AI and Machine Learning technologies. Experience & Skills of the Ideal Candidate Bachelor's Degree in Computer Science, Data Science, Engineering, Mathematics, or a related field. 3+ years of experience in Machine Learning Engineering or a similar role. Strong Python programming skills. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Hands-on experience with cloud platforms such as Azure, AWS, or Google Cloud. Knowledge of MLOps, CI\/CD pipelines, and model deployment practices. Experience working with SQL and large-scale datasets. Understanding of data engineering and software development best practices. Excellent problem-solving, communication, and stakeholder engagement skills. Ready to build intelligent systems that make a difference? Apply today and be part of a team driving the next generation of innovation.

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