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Job Title: Senior MLOps with DevOps Engineer
Location: 100% Remote
Job Description
We are seeking a Senior MLOps with DevOps Engineer to design, implement, and maintain scalable Machine Learning and data platform solutions on Azure. The ideal candidate will drive best practices in CI/CD, Kubernetes-based deployments, and MLOps workflows to enable reliable and efficient model development and deployment.
Required Skills
- Strong expertise in Azure DevOps and CI/CD pipelines
- Hands-on experience with Kubernetes (AKS)
- Experience with Azure Cloud services
- Experience with Azure Machine Learning and Databricks
- Solid understanding of MLOps and ML lifecycle in production environments
Responsibilities
- Design and implement CI/CD pipelines using Azure DevOps
- Architect and manage Kubernetes (AKS) environments for ML workloads
- Enable end-to-end MLOps workflows across Azure ML and Databricks
- Collaborate with Data Science and Engineering teams to improve scalability, reliability, and security
- Support production-grade ML lifecycle and deployment automation
Looking forward to working with you
Thanks & Regards,
Harshith Reddy
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