Job Description
## MLOps Platform Support Specialist
**Department:** MLOps | **Industry:** Machine Learning
**Location:** Mumbai | **Job Type:** Internship | **CTC:** INR 6.4-20.6 LPA
### Role Overview
The organisation is seeking a qualified MLOps Platform Support Specialist to support ongoing initiatives in 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 Deep Learning 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
- B.Tech (CS/AI) or equivalent qualification.
- 1 years of relevant experience (junior level).
- Working proficiency in: Deep Learning, MLOps, Cloud Platforms (AWS/GCP), Python.
### Additional Notes
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Compensation includes standard statutory benefits along with performance-linked variable pay. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Internal job postings are open to employees who've completed a minimum tenure in their current role. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving. High performers in this role typically move into a broader ownership scope within 18-24 months. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
**Department:** MLOps | **Industry:** Machine Learning
**Location:** Mumbai | **Job Type:** Internship | **CTC:** INR 6.4-20.6 LPA
### Role Overview
The organisation is seeking a qualified MLOps Platform Support Specialist to support ongoing initiatives in 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 Deep Learning 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
- B.Tech (CS/AI) or equivalent qualification.
- 1 years of relevant experience (junior level).
- Working proficiency in: Deep Learning, MLOps, Cloud Platforms (AWS/GCP), Python.
### Additional Notes
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Compensation includes standard statutory benefits along with performance-linked variable pay. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Internal job postings are open to employees who've completed a minimum tenure in their current role. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving. High performers in this role typically move into a broader ownership scope within 18-24 months. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.