Junior AI Engineer, ML & Platform Ops

Discovery

Sandton

Vor Ort

ZAR 320.000 - 520.000

Vollzeit

vor 10 Stunden
Sei unter den ersten Bewerbenden

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Zusammenfassung

Discovery Health's Data Science Lab seeks a Junior Developer – AI Engineering to help deploy and operate AI and ML solutions. You will work alongside senior engineers, data scientists, and product teams to move models from experimentation into production systems.

The role provides exposure to AI platforms, cloud technologies, MLOps, and production readiness. It offers growth opportunities within Discovery Health's AI ecosystem and cross‑functional collaboration across teams.

Qualifikationen

  • Proficiency in Python for data analysis and ML.
  • Experience with SQL, relational databases, and structured data.
  • Strong foundations in statistics, ML, experimental design, and model evaluation.
  • Ability to write clear, reproducible analytical code.
  • Foundational AI/ML deployment concepts.

Aufgaben

  • Support deployment, operation, and maintenance of AI/ML solutions across the DS Lab portfolio.
  • Develop reusable engineering components, deployment frameworks, and tooling.
  • Troubleshoot production issues, deployment failures, and platform incidents.
  • Monitor system health and escalate issues to maintain reliability.
  • Assist with cloud-native implementations and observability.

Kenntnisse

Python
SQL
Statistics
Model deployment concepts
Analytical coding

Ausbildung

Bachelor's or Honours in quantitative field

Tools

Docker
Kubernetes
Cloud platforms (GCP/AWS/Azure)

Jobbeschreibung

Discovery Health's Data Science Lab seeks a Junior Developer – AI Engineering to help deploy and operate AI and ML solutions. You will work alongside senior engineers, data scientists, and product teams to move models from experimentation into production systems.

The role provides exposure to AI platforms, cloud technologies, MLOps, and production readiness. It offers growth opportunities within Discovery Health's AI ecosystem and cross‑functional collaboration across teams.

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