Job Description
## MLOps Implementation Assistant
**Department:** MLOps | **Industry:** Machine Learning
**Location:** Delhi NCR | **Job Type:** Contract | **CTC:** INR 8.9-16.4 LPA
### Role Overview
We are looking to onboard a MLOps Implementation Assistant to strengthen our MLOps function within Machine Learning. 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 MLOps and Python 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
- B.Tech (CS/AI) or equivalent qualification.
- 2 years of relevant experience (junior level).
- Working proficiency in: MLOps, Python, Data Preprocessing, Statistical Modelling, Model Evaluation & Tuning.
### Additional Notes
The package is structured with a fixed component, performance bonus, and standard health coverage. Most days include at least one review checkpoint where progress is discussed against the plan for the week. High performers in this role typically move into a broader ownership scope within 18-24 months. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
**Department:** MLOps | **Industry:** Machine Learning
**Location:** Delhi NCR | **Job Type:** Contract | **CTC:** INR 8.9-16.4 LPA
### Role Overview
We are looking to onboard a MLOps Implementation Assistant to strengthen our MLOps function within Machine Learning. 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 MLOps and Python 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
- B.Tech (CS/AI) or equivalent qualification.
- 2 years of relevant experience (junior level).
- Working proficiency in: MLOps, Python, Data Preprocessing, Statistical Modelling, Model Evaluation & Tuning.
### Additional Notes
The package is structured with a fixed component, performance bonus, and standard health coverage. Most days include at least one review checkpoint where progress is discussed against the plan for the week. High performers in this role typically move into a broader ownership scope within 18-24 months. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Relocation assistance may be extended for candidates moving from a different city, subject to approval.