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Entry-level AI-infra role in Pune with common cloud/Kubernetes skills yields moderate applicant density.
Skills (cloud, Kubernetes, IaC, GPU infra) are transferable across industries but require infrastructure experience.
Explicit 0-2 years requirement plus mandatory cloud, container, and monitoring skills makes filters moderately strict.
Support design, development, and maintenance of AI infrastructure systems including GPU clusters and data pipelines.
Assist in managing and monitoring AI compute environments using container orchestration (Kubernetes, Docker) and Infrastructure as Code tools.
Collaborate with ML engineers to provide scalable environments and support for AI model training and deployment.
Bachelor's degree in Computer Science, IT, or related field.
0-2 years experience in DevOps, cloud infrastructure, or related roles.
Basic knowledge of Linux, Python or scripting, containerization (Docker, Kubernetes), and cloud platforms (AWS, GCP, or Azure).
Location requirement: Pune, India; Office-based with potential hybrid options.
Entry-level candidate with foundational knowledge in cloud and container technologies and keen interest in AI infrastructure.
Analytical problem-solver capable of supporting infrastructure monitoring and troubleshooting under guidance.
Comfortable collaborating within a technical team and following infrastructure as code and best practice standards.