Senior Ai Engineer – Fintech Platform Modernisation

Acuity Consultants; Johannesburg; On-site; ZAR 600,000 - 840,000; Full time

Job summary

Acuity Consultants seeks an AI Software Engineer (MLOps) to join our client in Benoni, Gauteng. The role focuses on bridging AI model development and production deployment, building robust infrastructure, and implementing best practices for continuous integration, delivery, and monitoring of AI models.

You will collaborate with data scientists to operationalize models, automate pipelines, and ensure scalable, reliable ML systems across the lifecycle, contributing to innovative AI projects in

Qualifications

• Experience with AI/ML lifecycle and deploying models into production.
• Strong software engineering fundamentals and ability to build robust systems.
• Familiarity with CI/CD concepts and model deployment pipelines.

Responsibilities

• Design, build, and maintain scalable MLOps infrastructure and CI/CD pipelines for machine learning models.
• Automate the training, validation, deployment, and monitoring of ML models.
• Develop tools and frameworks to support the end-to-end ML lifecycle.

Skills

AI/ML lifecycle

Software engineering

CI/CD

MLOps

Monitoring

Education

Bachelor's degree in CS/Engineering

Job description

About the Role

Our client, a forward-thinking company operating at the forefront of **AI & Emerging Technologies**, is seeking a skilled AI Software Engineer with a specialization in MLOps to join their team in **Benoni, Gauteng**. This role is critical in bridging the gap between AI model development and production deployment, ensuring seamless, scalable, and reliable machine learning operations. You will be responsible for building and maintaining robust infrastructure, automating ML pipelines, and implementing best practices for continuous integration, delivery, and monitoring of AI models. The ideal candidate possesses strong software engineering skills combined with a deep understanding of the machine learning lifecycle. This is an excellent opportunity to contribute to innovative AI projects within a thriving tech environment in **Gauteng**, helping to accelerate the deployment and impact of AI solutions. We foster a culture of innovation and technical excellence.

Key Responsibilities

• Design, build, and maintain scalable and reliable MLOps infrastructure and CI/CD pipelines for machine learning models.
• Automate the process of model training, validation, deployment, and monitoring.
• Develop tools and frameworks to support the end-to-end machine learning lifecycle.
• Collaborate with data scientists and AI researchers to understand their needs and facilitate the operationalization of their models.
• Implement robust monitoring, logging,