Job Description
## AI Systems Support Engineer
**Department:** AI Operations (AIOps) | **Industry:** Artificial Intelligence (AI)
**Location:** Kochi | **Job Type:** Contract | **CTC:** INR 8.6-18.3 LPA
### Role Overview
An opening exists for an AI Systems Support Engineer to join the Artificial Intelligence (AI) vertical, focused on AI Operations (AIOps). The role is positioned at the junior level and reports into the broader AI Operations (AIOps) charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to ai operations (aiops).
- Apply working knowledge of Natural Language Processing and AI Operations (AIOps) to daily execution.
- Coordinate with cross-functional stakeholders within Artificial Intelligence (AI).
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- M.Tech (AI/ML) or equivalent qualification.
- 1 years of relevant experience (junior level).
- Working proficiency in: Natural Language Processing, AI Operations (AIOps), Model Deployment (MLOps), Machine Learning, Python, Deep Learning.
### Additional Notes
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Learning and certification support is available for tools and frameworks directly relevant to the role. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Compensation includes standard statutory benefits along with performance-linked variable pay. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
**Department:** AI Operations (AIOps) | **Industry:** Artificial Intelligence (AI)
**Location:** Kochi | **Job Type:** Contract | **CTC:** INR 8.6-18.3 LPA
### Role Overview
An opening exists for an AI Systems Support Engineer to join the Artificial Intelligence (AI) vertical, focused on AI Operations (AIOps). The role is positioned at the junior level and reports into the broader AI Operations (AIOps) charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to ai operations (aiops).
- Apply working knowledge of Natural Language Processing and AI Operations (AIOps) to daily execution.
- Coordinate with cross-functional stakeholders within Artificial Intelligence (AI).
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- M.Tech (AI/ML) or equivalent qualification.
- 1 years of relevant experience (junior level).
- Working proficiency in: Natural Language Processing, AI Operations (AIOps), Model Deployment (MLOps), Machine Learning, Python, Deep Learning.
### Additional Notes
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Learning and certification support is available for tools and frameworks directly relevant to the role. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Compensation includes standard statutory benefits along with performance-linked variable pay. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.