Job Description
## ML Model Ops Engineer
**Industry:** DevOps Engineering | **Function:** MLOps | **Level:** Junior
**Location:** Chandigarh | **CTC:** ₹5.7 - ₹10.2 LPA | **Experience:** 2-4 years
### Role Overview
We're expanding our MLOps team within DevOps Engineering and are on the lookout for a ML Model Ops Engineer. This is a junior position operating in a DevOps team building the pipelines and infrastructure everything else ships through.
### Key Responsibilities
- Take ownership of day-to-day activities related to mlops.
- Apply hands-on knowledge of Linux Administration and Cloud Platforms (AWS/Azure/GCP) to deliver on team goals.
- Collaborate with cross-functional stakeholders to ensure smooth execution.
- Maintain accurate documentation and reporting as required by the DevOps Engineering function.
- Flag risks or bottlenecks early and work with the team to resolve them.
### Requirements
- Education: B.Tech/BE (CS/IT) / MCA
- Experience: 2-4 years
- Core skills: Linux Administration, Cloud Platforms (AWS/Azure/GCP), CI/CD Pipelines (Jenkins/GitLab CI), Infrastructure as Code (Terraform/Ansible)
- Comfortable working in Internship arrangement based out of Chandigarh
### Life on the Team
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.
### Compensation
CTC on offer: ₹5.7 - ₹10.2 LPA, updated as of 27-Jun-2026.
If this sounds like the kind of ml model ops engineer role you've been looking for, we'd love to hear from you.
**Industry:** DevOps Engineering | **Function:** MLOps | **Level:** Junior
**Location:** Chandigarh | **CTC:** ₹5.7 - ₹10.2 LPA | **Experience:** 2-4 years
### Role Overview
We're expanding our MLOps team within DevOps Engineering and are on the lookout for a ML Model Ops Engineer. This is a junior position operating in a DevOps team building the pipelines and infrastructure everything else ships through.
### Key Responsibilities
- Take ownership of day-to-day activities related to mlops.
- Apply hands-on knowledge of Linux Administration and Cloud Platforms (AWS/Azure/GCP) to deliver on team goals.
- Collaborate with cross-functional stakeholders to ensure smooth execution.
- Maintain accurate documentation and reporting as required by the DevOps Engineering function.
- Flag risks or bottlenecks early and work with the team to resolve them.
### Requirements
- Education: B.Tech/BE (CS/IT) / MCA
- Experience: 2-4 years
- Core skills: Linux Administration, Cloud Platforms (AWS/Azure/GCP), CI/CD Pipelines (Jenkins/GitLab CI), Infrastructure as Code (Terraform/Ansible)
- Comfortable working in Internship arrangement based out of Chandigarh
### Life on the Team
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.
### Compensation
CTC on offer: ₹5.7 - ₹10.2 LPA, updated as of 27-Jun-2026.
If this sounds like the kind of ml model ops engineer role you've been looking for, we'd love to hear from you.