Johannesburg: Machine Learning & AI Developer

About the Role

We are seeking a highly skilled ML & AI Developer to join our growing Data & AI team, responsible for designing, developing, deploying, and maintaining machine learning and AI solutions that deliver measurable business value. The ideal candidate will have experience building scalable AI and machine learning solutions, implementing MLOps best practices, and working with modern cloud-based data and AI platforms.

Key Responsibilities

• Design, develop, and deploy end-to-end machine learning solutions into production environments.
• Build and maintain scalable batch and real-time AI/ML pipelines.
• Develop, train, evaluate, and optimize machine learning models to solve business challenges.
• Collaborate with business stakeholders, data engineers, data scientists, and technology teams to translate requirements into production-ready AI solutions.
• Implement and manage MLOps practices including model deployment, monitoring, versioning, testing, and retraining.
• Build and maintain CI/CD pipelines for machine learning workflows.
• Develop and optimize large-scale data processing pipelines using Python, SQL, Spark, and PySpark.
• Deploy and manage machine learning solutions using Azure AI and data platform technologies.
• Monitor model performance, drift, and reliability to ensure ongoing business value and operational stability.
• Contribute to AI governance, security, and best practices across the organization.
• Research and evaluate emerging AI technologies and recommend innovative solutions.

Requirements

• 5 years of experience in Machine Learning Engineering, AI Engineering, Data Science, or a related field.
• Proven experience delivering end-to-end machine learning solutions in production environments.
• Experience designing, deploying, and supporting scalable AI and machine learning applications.
• Experience working with large datasets and distributed data processing frameworks.
• Experience with Generative AI solutions.
• Exposure to Large Language Models (LLMs).
• Experience with Retrieval-Augmented Generation (RAG) architectures.
• Experience with vector databases and semantic search solutions.
• Experience integrating AI services into enterprise applications.

Qualifications

Degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Information Systems, or a related field. Relevant Azure, Machine Learning, AI, or Databricks certifications would be advantageous.

Salary & Benefits

Not specified