Job Description
Position: AI Risk Monitoring Executive
Function: AI Ethics & Governance
Industry: Artificial Intelligence (AI)
Grade: junior level
Location: Noida
Employment Type: Contract
Compensation: INR 2.6-17.0 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: M.Tech (AI/ML)
Minimum Experience: 1 years
Core Competencies Required: Neural Network Architectures, Model Deployment (MLOps), AI Ethics, Deep Learning, Governance
Further Information:
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Internal job postings are open to employees who've completed a minimum tenure in their current role. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. 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 package is structured with a fixed component, performance bonus, and standard health coverage. 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: junior level
Location: Noida
Employment Type: Contract
Compensation: INR 2.6-17.0 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: M.Tech (AI/ML)
Minimum Experience: 1 years
Core Competencies Required: Neural Network Architectures, Model Deployment (MLOps), AI Ethics, Deep Learning, Governance
Further Information:
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Internal job postings are open to employees who've completed a minimum tenure in their current role. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. 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 package is structured with a fixed component, performance bonus, and standard health coverage. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.