Job Description
## AI Ethics & Risk Manager
**Department:** AI Governance & Compliance | **Industry:** Artificial Intelligence (AI)
**Location:** Hybrid - Pune | **Job Type:** Contract | **CTC:** INR 23.5-44.0 LPA
### Role Overview
An opening exists for an AI Ethics & Risk Manager to join the Artificial Intelligence (AI) vertical, focused on AI Governance & Compliance. The role is positioned at the mid 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 AI Governance and Machine Learning 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
- B.Tech (CS/AI) or equivalent qualification.
- 7 years of relevant experience (mid level).
- Working proficiency in: AI Governance, Machine Learning, Model Deployment (MLOps), Deep Learning, Cloud Platforms (AWS/GCP/Azure), Compliance, Natural Language Processing, Python.
### Additional Notes
The next logical step from this position is a senior or lead-track role within the same function. The organisation has historically promoted from within for a majority of its senior and lead openings. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Internal job postings are open to employees who've completed a minimum tenure in their current role. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. 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. 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. Interested candidates should be prepared to walk through relevant past work during the interview process. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. High performers in this role typically move into a broader ownership scope within 18-24 months. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
**Department:** AI Governance & Compliance | **Industry:** Artificial Intelligence (AI)
**Location:** Hybrid - Pune | **Job Type:** Contract | **CTC:** INR 23.5-44.0 LPA
### Role Overview
An opening exists for an AI Ethics & Risk Manager to join the Artificial Intelligence (AI) vertical, focused on AI Governance & Compliance. The role is positioned at the mid 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 AI Governance and Machine Learning 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
- B.Tech (CS/AI) or equivalent qualification.
- 7 years of relevant experience (mid level).
- Working proficiency in: AI Governance, Machine Learning, Model Deployment (MLOps), Deep Learning, Cloud Platforms (AWS/GCP/Azure), Compliance, Natural Language Processing, Python.
### Additional Notes
The next logical step from this position is a senior or lead-track role within the same function. The organisation has historically promoted from within for a majority of its senior and lead openings. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Internal job postings are open to employees who've completed a minimum tenure in their current role. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. 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. 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. Interested candidates should be prepared to walk through relevant past work during the interview process. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. High performers in this role typically move into a broader ownership scope within 18-24 months. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Relocation assistance may be extended for candidates moving from a different city, subject to approval.