Job Description
AI Audit & Ethics Trainee | Kochi | INR 7.8-21.4 LPA
AI Ethics & Governance role, junior level, full-time.
Need: B.Tech (CS/AI), 2+ yrs.
Core skills: Deep Learning, AI Ethics, Governance, Computer Vision, Cloud Platforms (AWS/GCP/Azure).
If this fits your profile in ai ethics & governance, apply now.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
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. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. High performers in this role typically move into a broader ownership scope within 18-24 months.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The next logical step from this position is a senior or lead-track role within the same function.
Interested candidates should be prepared to walk through relevant past work during the interview process. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
AI Ethics & Governance role, junior level, full-time.
Need: B.Tech (CS/AI), 2+ yrs.
Core skills: Deep Learning, AI Ethics, Governance, Computer Vision, Cloud Platforms (AWS/GCP/Azure).
If this fits your profile in ai ethics & governance, apply now.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
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. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. High performers in this role typically move into a broader ownership scope within 18-24 months.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The next logical step from this position is a senior or lead-track role within the same function.
Interested candidates should be prepared to walk through relevant past work during the interview process. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.