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:
- 5+ years’ experience in Python development
- Strong grounding in software engineering principles (SOLID, unit testing, CI/CD, Git)
- Experience with ML engineering/MLOps tooling (MLflow, Kubeflow, etc.)
- Cloud platform experience (AWS, Azure, or GCP)
- Experience designing and maintaining ELT/ETL pipelines in distributed compute environments (Spark, Ray or similar)
- Ability to contribute to technical design, code reviews, and engineering best practices
Advantageous:
- Experience with Vertex AI, BigQuery, Cloud Composer
- Exposure to large-scale data ecosystems and distributed systems
- Experience mentoring junior engineers or data scientists
Responsibilities
- Build, optimize, and maintain high-performance Python systems for AI/ML delivery
- Participate in code reviews and contribute to engineering standards
- Design and manage ELT/ETL pipelines in large-scale MPP environments
- Support the full ML lifecycle: deployment, monitoring, and optimisation
- Implement automated monitoring, alerting, and model observability
- Provide guidance to junior developers and data scientists
- Collaborate with stakeholders to translate business needs into robust technical solutions
Desired Skills:
- AWS
- Big Data
- BigQuery
- CI/CD
- Data Engineering
- Git
- Python