Strong hands-on experience in MLOps / ML Engineering / DevOps for Machine Learning.
Robust experience with AWS SageMaker.
Hands-on experience with Terraform and Infrastructure as Code.
Positive knowledge of AWS services
Experience building SageMaker Pipelines and automated ML workflows.
Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or AWS CodePipeline.
Solid understanding of Docker and containerization.
Good knowledge of Python and scripting.
Experience with Git/GitHub/GitLab.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Machine Learning Operations Mlops Professional Bengaluru
🏢 IBU Consulting
📍 Bengaluru
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