Job Description
Looking for an AI Policy & Standards Specialist who's genuinely interested in AI Ethics & Governance and wants to make an impact from day one.
You'll be working out of Bhubaneswar (hybrid), and honestly, the day-to-day is going to revolve around AI Ethics and Statistical Modelling. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai ethics & governance.
On paper, we'd expect B.Tech (CS/AI) and somewhere around 5 years of experience, but we're just as interested in how you think as in what's on your resume.
Pay-wise, we're offering INR 3.5-25.8 LPA - fair for the mid level band and open to discussion based on what you bring.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Most days include at least one review checkpoint where progress is discussed against the plan for the week. 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.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Compensation includes standard statutory benefits along with performance-linked variable pay.
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.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. The package is structured with a fixed component, performance bonus, and standard health coverage. Learning and certification support is available for tools and frameworks directly relevant to the role.
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.
High performers in this role typically move into a broader ownership scope within 18-24 months. The organisation has historically promoted from within for a majority of its senior and lead openings.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
You'll be working out of Bhubaneswar (hybrid), and honestly, the day-to-day is going to revolve around AI Ethics and Statistical Modelling. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai ethics & governance.
On paper, we'd expect B.Tech (CS/AI) and somewhere around 5 years of experience, but we're just as interested in how you think as in what's on your resume.
Pay-wise, we're offering INR 3.5-25.8 LPA - fair for the mid level band and open to discussion based on what you bring.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Most days include at least one review checkpoint where progress is discussed against the plan for the week. 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.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Compensation includes standard statutory benefits along with performance-linked variable pay.
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.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. The package is structured with a fixed component, performance bonus, and standard health coverage. Learning and certification support is available for tools and frameworks directly relevant to the role.
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.
High performers in this role typically move into a broader ownership scope within 18-24 months. The organisation has historically promoted from within for a majority of its senior and lead openings.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.