SUMMARY:
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POSITION INFO:
Company Summary
A leading JSE-listed financial services company is expanding its Group Data Science Team, a world-class division that partners across digital, clinical, wellness, and behavioural domains. The team collaborates globally and leverages modern big-data platforms to build scalable, future-focused solutions that drive innovation across the organisation.
Role Summary
The Senior Python Developer plays a critical role in the AI Enablement function, building and maintaining production-grade Python systems, managing ML pipelines, and ensuring enterprise-scale deployment of AI/ML models. You will contribute to technical standards, support team members, and help turn advanced AI into dependable business value.
Requirements
Essential:
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5+ years’ experience in Python development
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Strong grounding in software engineering principles (SOLID, unit testing, CI/CD, Git)
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Experience with ML engineering/MLOps tooling (MLflow, Kubeflow, etc.)
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Cloud platform experience (AWS, Azure, or GCP)
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Experience designing and maintaining ELT/ETL pipelines in distributed compute environments (Spark, Ray or similar)
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Ability to contribute to technical design, code reviews, and engineering best practices
Advantageous:
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Experience with Vertex AI, BigQuery, Cloud Composer
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Exposure to large-scale data ecosystems and distributed systems
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Experience mentoring junior engineers or data scientists
Responsibilities
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Build, optimize, and maintain high-performance Python systems for AI/ML delivery
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Participate in code reviews and contribute to engineering standards
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Design and manage ELT/ETL pipelines in large-scale MPP environments
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Support the full ML lifecycle: deployment, monitoring, and optimisation
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Implement automated monitoring, alerting, and model observability
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Provide guidance to junior developers and data scientists
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Collaborate with stakeholders to translate business needs into robust technical solutions
