IBU Consulting
Machine Learning Operations (MLOps) Professional
Skills
25 days ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
1 October 2026
What they need
- Strong hands-on experience in MLOps / ML Engineering / DevOps for Machine Learning.
- Strong experience with AWS SageMaker.
- Hands-on experience with Terraform and Infrastructure as Code.
- Good 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.
- Strong 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.
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