Position Details
About this role
This role involves designing and maintaining ML infrastructure, developing CI/CD pipelines, and implementing MLOps best practices in a cloud environment.
Key Responsibilities
- Design ML infrastructure
- Develop CI/CD pipelines
- Implement MLOps practices
- Manage cloud platforms
- Automate data and model versioning
Technical Overview
Focus on cloud-based ML platforms like Azure MLStudio, SageMaker, and Vertex AI, with expertise in infrastructure automation tools such as Terraform, Ansible, and Puppet, and data processing frameworks like Apache Spark.
Ideal Candidate
The ideal candidate is a mid-level cloud engineer with 4+ years of experience in software development, cloud technologies such as Azure and AWS, and DevOps practices. They should have hands-on experience with ML platforms and infrastructure automation.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with cloud ML platforms, Less than 4 years of relevant experience, No experience with Infrastructure as Code tools
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