Job Description
## Junior AI Compliance Executive
**Department:** AI Governance & Compliance | **Industry:** Artificial Intelligence (AI)
**Location:** Kochi | **Job Type:** Full-time | **CTC:** INR 6.2-14.4 LPA
### Role Overview
This position calls for a Junior AI Compliance Executive who can take ownership of core responsibilities within our AI Governance & Compliance team. The role is positioned at the junior level and reports into the broader AI Governance & Compliance charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to ai governance & compliance.
- Apply working knowledge of Neural Network Architectures and Model Deployment (MLOps) 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.
- 0 years of relevant experience (junior level).
- Working proficiency in: Neural Network Architectures, Model Deployment (MLOps), AI Governance, Compliance, TensorFlow/PyTorch, Python.
### Additional Notes
Interested candidates should be prepared to walk through relevant past work during the interview process. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Internal job postings are open to employees who've completed a minimum tenure in their current role. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The organisation has historically promoted from within for a majority of its senior and lead openings. The package is structured with a fixed component, performance bonus, and standard health coverage. The next logical step from this position is a senior or lead-track role within the same function.
**Department:** AI Governance & Compliance | **Industry:** Artificial Intelligence (AI)
**Location:** Kochi | **Job Type:** Full-time | **CTC:** INR 6.2-14.4 LPA
### Role Overview
This position calls for a Junior AI Compliance Executive who can take ownership of core responsibilities within our AI Governance & Compliance team. The role is positioned at the junior level and reports into the broader AI Governance & Compliance charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to ai governance & compliance.
- Apply working knowledge of Neural Network Architectures and Model Deployment (MLOps) 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.
- 0 years of relevant experience (junior level).
- Working proficiency in: Neural Network Architectures, Model Deployment (MLOps), AI Governance, Compliance, TensorFlow/PyTorch, Python.
### Additional Notes
Interested candidates should be prepared to walk through relevant past work during the interview process. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Internal job postings are open to employees who've completed a minimum tenure in their current role. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The organisation has historically promoted from within for a majority of its senior and lead openings. The package is structured with a fixed component, performance bonus, and standard health coverage. The next logical step from this position is a senior or lead-track role within the same function.