Job Description
## ML Operations Research Assistant
**Department:** MLOps | **Industry:** Machine Learning
**Location:** Hybrid - Bengaluru | **Job Type:** Full-time | **CTC:** INR 6.2-15.5 LPA
### Role Overview
This position calls for a ML Operations Research Assistant who can take ownership of core responsibilities within our MLOps team. The role is positioned at the junior level and reports into the broader MLOps charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to mlops.
- Apply working knowledge of Cloud Platforms (AWS/GCP) and Data Preprocessing to daily execution.
- Coordinate with cross-functional stakeholders within Machine Learning.
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- M.Tech (Machine Learning) or equivalent qualification.
- 1 years of relevant experience (junior level).
- Working proficiency in: Cloud Platforms (AWS/GCP), Data Preprocessing, Python, MLOps.
### Additional Notes
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
**Department:** MLOps | **Industry:** Machine Learning
**Location:** Hybrid - Bengaluru | **Job Type:** Full-time | **CTC:** INR 6.2-15.5 LPA
### Role Overview
This position calls for a ML Operations Research Assistant who can take ownership of core responsibilities within our MLOps team. The role is positioned at the junior level and reports into the broader MLOps charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to mlops.
- Apply working knowledge of Cloud Platforms (AWS/GCP) and Data Preprocessing to daily execution.
- Coordinate with cross-functional stakeholders within Machine Learning.
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- M.Tech (Machine Learning) or equivalent qualification.
- 1 years of relevant experience (junior level).
- Working proficiency in: Cloud Platforms (AWS/GCP), Data Preprocessing, Python, MLOps.
### Additional Notes
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.