Job Description
Artificial Intelligence (AI) is looking for an experienced Ethical AI Implementation Lead to take ownership of the AI Ethics & Governance charter at a mid level. This is a role for someone who has already operated at scale and is comfortable setting direction rather than simply following one.
The successful candidate will bring approximately 7 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across Data Preprocessing, Deep Learning, Governance, Model Deployment (MLOps), TensorFlow/PyTorch. Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.
Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Kochi on a hybrid arrangement. Compensation is benchmarked at INR 24.7-45.3 LPA, reflecting the seniority and scope of the position.
Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within ai ethics & governance.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Interested candidates should be prepared to walk through relevant past work during the interview process.
The package is structured with a fixed component, performance bonus, and standard health coverage. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
Learning and certification support is available for tools and frameworks directly relevant to the role. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
References may be requested closer to the offer stage rather than at the start of the process. 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 next logical step from this position is a senior or lead-track role within the same function. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
Compensation includes standard statutory benefits along with performance-linked variable pay. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
The successful candidate will bring approximately 7 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across Data Preprocessing, Deep Learning, Governance, Model Deployment (MLOps), TensorFlow/PyTorch. Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.
Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Kochi on a hybrid arrangement. Compensation is benchmarked at INR 24.7-45.3 LPA, reflecting the seniority and scope of the position.
Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within ai ethics & governance.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Interested candidates should be prepared to walk through relevant past work during the interview process.
The package is structured with a fixed component, performance bonus, and standard health coverage. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
Learning and certification support is available for tools and frameworks directly relevant to the role. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
References may be requested closer to the offer stage rather than at the start of the process. 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 next logical step from this position is a senior or lead-track role within the same function. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
Compensation includes standard statutory benefits along with performance-linked variable pay. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.