Senior ML Ops Engineer — Azure, Kubernetes & CI/CD
Siri Technologies
Sandton
On-site
ZAR 800,000 - 1,200,000
Full time
14 days+
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Job summary
A tech-focused company in Sandton is searching for a Senior Machine Learning Operations Engineer to join their Private Bank Technical Business Intelligence Team. This role requires expertise in deploying, maintaining, and monitoring machine learning models, with strong proficiency in Microsoft Azure, Kubernetes, and CI/CD practices. The ideal candidate should possess a minimum of a Bachelor's degree in Computer Science, have at least five years of relevant experience, and have solid programming ability in Python and understanding of machine learning frameworks. Competitive compensation is offered.
Qualifications
Minimum 5 years of experience in ML Operations or a similar role.
Extensive experience with Microsoft Azure and its ML offerings.
Strong programming skills in Python along with FastAPI, Redis, and SQL.
Responsibilities
Deploy, maintain, and monitor machine learning models.
Design and build solutions focused on efficiency.
Monitor and optimize the performance of models in production.
Skills
Cloud infrastructure
Kubernetes
Deployment pipelines
Machine learning
Git
CI/CD
Python
FastAPI
Redis
SQL
Containerization (Docker)
Monitoring tools (Grafana, Kibana)
Education
BSc Computer Science or related field
Tools
Microsoft Azure
Kubernetes
Docker
TensorFlow
PyTorch
Job description
A tech-focused company in Sandton is searching for a Senior Machine Learning Operations Engineer to join their Private Bank Technical Business Intelligence Team. This role requires expertise in deploying, maintaining, and monitoring machine learning models, with strong proficiency in Microsoft Azure, Kubernetes, and CI/CD practices. The ideal candidate should possess a minimum of a Bachelor's degree in Computer Science, have at least five years of relevant experience, and have solid programming ability in Python and understanding of machine learning frameworks. Competitive compensation is offered.