Job Description
Position: AI Regulatory & Governance Specialist
Function: AI Ethics & Governance
Industry: Artificial Intelligence (AI)
Grade: mid level
Location: Hyderabad
Employment Type: Hybrid
Compensation: INR 10.8-40.0 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: B.Tech (CS/AI)
Minimum Experience: 3 years
Core Competencies Required: AI Ethics, Machine Learning, Model Deployment (MLOps), Cloud Platforms (AWS/GCP/Azure), Governance
Further Information:
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. There is a defined internal mobility path for people who want to specialise deeper or move into people management. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Most days include at least one review checkpoint where progress is discussed against the plan for the week. High performers in this role typically move into a broader ownership scope within 18-24 months. References may be requested closer to the offer stage rather than at the start of the process. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Compensation includes standard statutory benefits along with performance-linked variable pay. 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. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
Function: AI Ethics & Governance
Industry: Artificial Intelligence (AI)
Grade: mid level
Location: Hyderabad
Employment Type: Hybrid
Compensation: INR 10.8-40.0 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: B.Tech (CS/AI)
Minimum Experience: 3 years
Core Competencies Required: AI Ethics, Machine Learning, Model Deployment (MLOps), Cloud Platforms (AWS/GCP/Azure), Governance
Further Information:
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. There is a defined internal mobility path for people who want to specialise deeper or move into people management. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Most days include at least one review checkpoint where progress is discussed against the plan for the week. High performers in this role typically move into a broader ownership scope within 18-24 months. References may be requested closer to the offer stage rather than at the start of the process. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Compensation includes standard statutory benefits along with performance-linked variable pay. 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. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.