Job Description
Strong programming skills in Python (5+ years), with experience in ML frameworks; understanding of ML-specific testing and validation techniques
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
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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