Job Description
## ML Experiment Tracking Associate
**Department:** MLOps | **Industry:** Machine Learning
**Location:** Jaipur | **Job Type:** Full-time | **CTC:** INR 3.1-8.8 LPA
### Role Overview
An opening exists for a ML Experiment Tracking Associate to join the Machine Learning vertical, focused on MLOps. 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 Model Evaluation & Tuning and MLOps 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.
- 0 years of relevant experience (junior level).
- Working proficiency in: Model Evaluation & Tuning, MLOps, Python, Machine Learning Algorithms.
### Additional Notes
Compensation includes standard statutory benefits along with performance-linked variable pay. The package is structured with a fixed component, performance bonus, and standard health coverage. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
**Department:** MLOps | **Industry:** Machine Learning
**Location:** Jaipur | **Job Type:** Full-time | **CTC:** INR 3.1-8.8 LPA
### Role Overview
An opening exists for a ML Experiment Tracking Associate to join the Machine Learning vertical, focused on MLOps. 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 Model Evaluation & Tuning and MLOps 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.
- 0 years of relevant experience (junior level).
- Working proficiency in: Model Evaluation & Tuning, MLOps, Python, Machine Learning Algorithms.
### Additional Notes
Compensation includes standard statutory benefits along with performance-linked variable pay. The package is structured with a fixed component, performance bonus, and standard health coverage. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.