Discovery Limited IT / Telecom Jobs in Gauteng
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Key Purpose
Serve as the technical cornerstone of the AI Enablement team by building and maintaining production-grade Python systems, managing ML pipelines, and ensuring models operate reliably at scale. This role sets technical standards, mentors team members, and drives innovation through robust engineering practices.
Key outputs
The successful applicant will be responsible for but not limited to the following job functions:
Areas of responsibility may include but not limited to
- Architect and maintain high-performance Python code for AI/ML projects.
- Lead peer reviews and enforce best practices in software engineering.
- Design and manage ELT/ETL pipelines in MPP environments (for instance using Spark, Ray or similar).
- Oversee ML model lifecycle: deployment, monitoring, optimization.
- Implement automated monitoring and alerting for production models.
- Mentor junior developers and data scientists on coding standards.
- Collaborate with stakeholders to translate requirements into technical solutions.
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Personal Attributes and Skills
The successful candidate would need to have the following competencies:
- Technical Leadership – Expert in Python and software architecture; sets high standards for code quality.
- Problem Solving – Ability to debug complex systems and deliver scalable solutions.
- Collaboration – Works effectively with data scientists, engineers, and business teams.
- Ownership Mindset – Takes responsibility for system resilience and performance.
- Continuous Learning – Stays current with emerging technologies and MLOps practices.
Education and Experience
The following requirements are Essential:
- 5+ years in Python development and software engineering best practices.
- Experience with CI/CD, Git, unit testing, and SOLID principles.
- Hands-on experience with MLOps tools (e.g. MLflow, Kubeflow, etc).
- Strong knowledge of cloud platforms (e.g. AWS, Azure, GCP).
The following requirements are advantageous:
- Experience with tools like Vertex AI, BigQuery, Cloud Composer.
- Exposure to large-scale data environments and distributed systems.
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