Job Description
We're hiring an AI Model Developer – Generative AI to join our growing Generative AI team - if this sounds like your kind of work, read on.
You'll be working out of Kolkata (full-time), and honestly, the day-to-day is going to revolve around Model Deployment (MLOps) and Machine Learning. We're not looking for someone who just ticks boxes - we want someone who actually cares about generative ai.
On paper, we'd expect M.Sc (Data Science) 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 11.6-34.8 LPA - fair for the mid level band and open to discussion based on what you bring.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
The organisation has historically promoted from within for a majority of its senior and lead openings. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
Learning and certification support is available for tools and frameworks directly relevant to the role. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Compensation includes standard statutory benefits along with performance-linked variable pay.
Internal job postings are open to employees who've completed a minimum tenure in their current role. References may be requested closer to the offer stage rather than at the start of the process. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
You'll be working out of Kolkata (full-time), and honestly, the day-to-day is going to revolve around Model Deployment (MLOps) and Machine Learning. We're not looking for someone who just ticks boxes - we want someone who actually cares about generative ai.
On paper, we'd expect M.Sc (Data Science) 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 11.6-34.8 LPA - fair for the mid level band and open to discussion based on what you bring.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
The organisation has historically promoted from within for a majority of its senior and lead openings. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
Learning and certification support is available for tools and frameworks directly relevant to the role. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Compensation includes standard statutory benefits along with performance-linked variable pay.
Internal job postings are open to employees who've completed a minimum tenure in their current role. References may be requested closer to the offer stage rather than at the start of the process. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.