Job Description
Position: Chief AI Ethics Officer
Function: AI Ethics & Governance
Industry: Artificial Intelligence (AI)
Grade: senior level
Location: Coimbatore
Employment Type: Full-time
Compensation: INR 13.6-64.3 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with ai ethics & governance, in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: Ph.D (AI)
Minimum Experience: 10 years
Core Competencies Required: Natural Language Processing, AI Ethics, TensorFlow/PyTorch, Model Deployment (MLOps), Machine Learning, Deep Learning, Governance, Statistical Modelling, Computer Vision
Further Information:
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. 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. Interested candidates should be prepared to walk through relevant past work during the interview process. Compensation includes standard statutory benefits along with performance-linked variable pay. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The organisation has historically promoted from within for a majority of its senior and lead openings. Learning and certification support is available for tools and frameworks directly relevant to the role. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. High performers in this role typically move into a broader ownership scope within 18-24 months. 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. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The next logical step from this position is a senior or lead-track role within the same function. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
Function: AI Ethics & Governance
Industry: Artificial Intelligence (AI)
Grade: senior level
Location: Coimbatore
Employment Type: Full-time
Compensation: INR 13.6-64.3 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with ai ethics & governance, in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: Ph.D (AI)
Minimum Experience: 10 years
Core Competencies Required: Natural Language Processing, AI Ethics, TensorFlow/PyTorch, Model Deployment (MLOps), Machine Learning, Deep Learning, Governance, Statistical Modelling, Computer Vision
Further Information:
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. 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. Interested candidates should be prepared to walk through relevant past work during the interview process. Compensation includes standard statutory benefits along with performance-linked variable pay. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The organisation has historically promoted from within for a majority of its senior and lead openings. Learning and certification support is available for tools and frameworks directly relevant to the role. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. High performers in this role typically move into a broader ownership scope within 18-24 months. 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. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The next logical step from this position is a senior or lead-track role within the same function. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.