Job Description
Cloud Computing is hiring a Cloud AI/ML Architect to take on a senior mandate within Cloud AI/ML Engineer, operating in a cloud engineering team building and running infrastructure that has to scale reliably. This is a role for someone who is expected to spend 9-14 years building credibility and, over time, own outcomes rather than just tasks.
The mandate centres on cloud ai/ml engineer, and the person in this seat will be expected to bring depth in Networking Basics, CI/CD Pipelines, Containerization (Docker/Kubernetes), AWS/Azure/GCP, Cloud Architecture Design, while also operating comfortably with ambiguity — senior roles here rarely come with a fully written playbook.
Feedback here is direct and frequent — managers expect you to speak up early rather than sit on a problem. This role is often a stepping stone into leadership tracks for candidates who show strong ownership early on.
On the qualifications side, we're looking at M.Tech Computer Science (preferred) as a baseline, though what matters more at this level is a demonstrated track record rather than the credential itself.
A typical day starts with reviewing open items from the previous shift, syncing with the immediate team, and prioritising the day's deliverables before diving into focused work blocks.
The pace can be demanding during peak cycles, balanced by a genuinely supportive team that helps each other hit deadlines.
The team culture leans collaborative and fairly informal, with an emphasis on ownership over hierarchy.
This role is often a stepping stone into leadership tracks for candidates who show strong ownership early on.
Compensation for this position is ₹32.6 - ₹47.2 LPA, commensurate with experience, for a Full-Time engagement based out of Mumbai. If this sounds like the kind of cloud ai/ml architect role you've been looking for, we'd love to hear from you.
The mandate centres on cloud ai/ml engineer, and the person in this seat will be expected to bring depth in Networking Basics, CI/CD Pipelines, Containerization (Docker/Kubernetes), AWS/Azure/GCP, Cloud Architecture Design, while also operating comfortably with ambiguity — senior roles here rarely come with a fully written playbook.
Feedback here is direct and frequent — managers expect you to speak up early rather than sit on a problem. This role is often a stepping stone into leadership tracks for candidates who show strong ownership early on.
On the qualifications side, we're looking at M.Tech Computer Science (preferred) as a baseline, though what matters more at this level is a demonstrated track record rather than the credential itself.
A typical day starts with reviewing open items from the previous shift, syncing with the immediate team, and prioritising the day's deliverables before diving into focused work blocks.
The pace can be demanding during peak cycles, balanced by a genuinely supportive team that helps each other hit deadlines.
The team culture leans collaborative and fairly informal, with an emphasis on ownership over hierarchy.
This role is often a stepping stone into leadership tracks for candidates who show strong ownership early on.
Compensation for this position is ₹32.6 - ₹47.2 LPA, commensurate with experience, for a Full-Time engagement based out of Mumbai. If this sounds like the kind of cloud ai/ml architect role you've been looking for, we'd love to hear from you.