Machine Learning Pipeline Specialist

1 week ago


junagadh, India beBeeMLOps Full time

Machine Learning Pipeline SpecialistJob Description:Design and deploy robust machine learning (ML) pipelines that drive business outcomes. Collaborate with cross-functional teams to implement scalable, secure, and cost-effective ML solutions leveraging AWS SageMaker.Develop automated CI/CD workflows using CodePipeline, CodeBuild, or GitHub Actions.Implement model monitoring, logging, and drift detection (CloudWatch, SageMaker Model Monitor).Create and maintain infrastructure using Terraform or CloudFormation.Manage secure, scalable, cost-optimized AWS environments (IAM, VPC, networking).Collaborate with data scientists, cloud engineering teams, and solution architects.Troubleshoot issues in high-availability, production ML setups.Required Skills & Qualifications:4–8 years of experience in MLOps / ML Engineering.Hands-on experience with SageMaker in enterprise-scale environments.Strong Python skills & familiarity with ML frameworks.Experience with Docker, Kubernetes (EKS preferred).Experience building CI/CD pipelines.Deep practical knowledge of AWS ecosystem.Desirable Features:Experience implementing model governance.Experience with multi-model endpoints.Familiarity with enterprise security standards and compliance.



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