Job Description
An opening exists for an AI Intern – R&D to join the Artificial Intelligence (AI) vertical, focused on AI Research & Development. This is a junior level opening based out of Remote (Pan India), offered on a full-time basis.
The ideal candidate holds M.Tech (AI/ML) and brings roughly 2 years of hands-on exposure to ai research & development. Day-to-day, the work draws heavily on Statistical Modelling, Python, Cloud Platforms (AWS/GCP/Azure), Development, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 9.8-21.5 LPA, in line with market standards for junior level roles within artificial intelligence (ai).
Most days include at least one review checkpoint where progress is discussed against the plan for the week. 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. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
Learning and certification support is available for tools and frameworks directly relevant to the role. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
The organisation has historically promoted from within for a majority of its senior and lead openings. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The next logical step from this position is a senior or lead-track role within the same function.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
If your background aligns with the above and you're looking for your next step in AI Research & Development, we'd like to hear from you.
The ideal candidate holds M.Tech (AI/ML) and brings roughly 2 years of hands-on exposure to ai research & development. Day-to-day, the work draws heavily on Statistical Modelling, Python, Cloud Platforms (AWS/GCP/Azure), Development, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 9.8-21.5 LPA, in line with market standards for junior level roles within artificial intelligence (ai).
Most days include at least one review checkpoint where progress is discussed against the plan for the week. 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. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
Learning and certification support is available for tools and frameworks directly relevant to the role. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
The organisation has historically promoted from within for a majority of its senior and lead openings. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The next logical step from this position is a senior or lead-track role within the same function.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
If your background aligns with the above and you're looking for your next step in AI Research & Development, we'd like to hear from you.