Job Description
Position: Global AI Governance Director
Function: AI Ethics & Governance
Industry: Artificial Intelligence (AI)
Grade: senior level
Location: Indore
Employment Type: Leadership - Full-time
Compensation: INR 31.4-66.7 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: M.Sc (Data Science)
Minimum Experience: 11 years
Core Competencies Required: TensorFlow/PyTorch, Governance, Computer Vision, Deep Learning, Data Preprocessing, Neural Network Architectures, Python, Model Deployment (MLOps), AI Ethics
Further Information:
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. 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. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Learning and certification support is available for tools and frameworks directly relevant to the role. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. 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. The package is structured with a fixed component, performance bonus, and standard health coverage. The organisation has historically promoted from within for a majority of its senior and lead openings. 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. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. 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. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
Function: AI Ethics & Governance
Industry: Artificial Intelligence (AI)
Grade: senior level
Location: Indore
Employment Type: Leadership - Full-time
Compensation: INR 31.4-66.7 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: M.Sc (Data Science)
Minimum Experience: 11 years
Core Competencies Required: TensorFlow/PyTorch, Governance, Computer Vision, Deep Learning, Data Preprocessing, Neural Network Architectures, Python, Model Deployment (MLOps), AI Ethics
Further Information:
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. 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. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Learning and certification support is available for tools and frameworks directly relevant to the role. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. 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. The package is structured with a fixed component, performance bonus, and standard health coverage. The organisation has historically promoted from within for a majority of its senior and lead openings. 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. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. 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. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.