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About
Design, build, and maintain scalable data and ML pipelines and infrastructure Automate infrastructure provisioning and manage Kubernetes clusters in AWS Collaborate with teams to operationalize machine learning models and implement observability for data pipelines
Required Qualifications
7+ years of experience in DataOps, MLOps, or related fields, with at least 2 years in ML model operationalization Proficient in AWS services including EC2, S3, and EKS Experience with infrastructure as code tools like Terraform and CloudFormation Strong scripting and automation skills using Python A bachelor's degree in computer science, engineering, or a related discipline, or equivalent experience
Languages
- English
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