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Job Description & How to Apply Below
- Expertise in containerization technologies (Docker) and orchestration platforms (Kubernetes), Knowledge of data versioning and model versioning techniques
- Proficiency in cloud platform (AWS) and their ML-specific services with atleast 2-3 years of experience.
- Strong understanding of Dev Ops practices and tools (Git Lab, Artifactory, Gitflow etc.)
- Experience with monitoring and observability tools (Prometheus, Grafana, ELK stack) and knowledge of distributed training techniques
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