Job Description
Head – Ethical AI & Governance | Remote (Pan India) | INR 25.6-48.5 LPA
AI Governance & Compliance role, senior level, full-time.
Need: M.Tech (AI/ML), 16+ yrs.
Core skills: Neural Network Architectures, Python, Natural Language Processing, Compliance, TensorFlow/PyTorch.
If this fits your profile in ai governance & compliance, apply now.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
Learning and certification support is available for tools and frameworks directly relevant to the role. 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. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. The organisation has historically promoted from within for a majority of its senior and lead openings.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Compensation includes standard statutory benefits along with performance-linked variable pay.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
High performers in this role typically move into a broader ownership scope within 18-24 months. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
AI Governance & Compliance role, senior level, full-time.
Need: M.Tech (AI/ML), 16+ yrs.
Core skills: Neural Network Architectures, Python, Natural Language Processing, Compliance, TensorFlow/PyTorch.
If this fits your profile in ai governance & compliance, apply now.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
Learning and certification support is available for tools and frameworks directly relevant to the role. 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. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. The organisation has historically promoted from within for a majority of its senior and lead openings.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Compensation includes standard statutory benefits along with performance-linked variable pay.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
High performers in this role typically move into a broader ownership scope within 18-24 months. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.