Job Description
Join us as an AI Research Specialist and help us push AI Research & Development forward within Artificial Intelligence (AI).
You'll be working out of Bhubaneswar (full-time (wfh)), and honestly, the day-to-day is going to revolve around AI Research and Statistical Modelling. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai research & development.
On paper, we'd expect M.Tech (AI/ML) and somewhere around 6 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 25.2-46.4 LPA - fair for the mid level band and open to discussion based on what you bring.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Internal job postings are open to employees who've completed a minimum tenure in their current role.
The organisation has historically promoted from within for a majority of its senior and lead openings. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
High performers in this role typically move into a broader ownership scope within 18-24 months. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Compensation includes standard statutory benefits along with performance-linked variable pay.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. References may be requested closer to the offer stage rather than at the start of the process.
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. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
You'll be working out of Bhubaneswar (full-time (wfh)), and honestly, the day-to-day is going to revolve around AI Research and Statistical Modelling. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai research & development.
On paper, we'd expect M.Tech (AI/ML) and somewhere around 6 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 25.2-46.4 LPA - fair for the mid level band and open to discussion based on what you bring.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Internal job postings are open to employees who've completed a minimum tenure in their current role.
The organisation has historically promoted from within for a majority of its senior and lead openings. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
High performers in this role typically move into a broader ownership scope within 18-24 months. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Compensation includes standard statutory benefits along with performance-linked variable pay.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. References may be requested closer to the offer stage rather than at the start of the process.
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. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.