Job Description
Here's the deal: we need a Director – AI Learning & Development who can hit the ground running on AI Training & Upskilling Programs work.
You'll be working out of Nagpur (full-time), and honestly, the day-to-day is going to revolve around Data Preprocessing and Neural Network Architectures. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai training & upskilling programs.
On paper, we'd expect M.Tech (AI/ML) and somewhere around 8 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 32.1-59.1 LPA - fair for the senior level band and open to discussion based on what you bring.
The next logical step from this position is a senior or lead-track role within the same function. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
Interested candidates should be prepared to walk through relevant past work during the interview process. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. References may be requested closer to the offer stage rather than at the start of the process.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
The organisation has historically promoted from within for a majority of its senior and lead openings. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Internal job postings are open to employees who've completed a minimum tenure in their current role.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. High performers in this role typically move into a broader ownership scope within 18-24 months.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
You'll be working out of Nagpur (full-time), and honestly, the day-to-day is going to revolve around Data Preprocessing and Neural Network Architectures. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai training & upskilling programs.
On paper, we'd expect M.Tech (AI/ML) and somewhere around 8 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 32.1-59.1 LPA - fair for the senior level band and open to discussion based on what you bring.
The next logical step from this position is a senior or lead-track role within the same function. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
Interested candidates should be prepared to walk through relevant past work during the interview process. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. References may be requested closer to the offer stage rather than at the start of the process.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
The organisation has historically promoted from within for a majority of its senior and lead openings. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Internal job postings are open to employees who've completed a minimum tenure in their current role.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. High performers in this role typically move into a broader ownership scope within 18-24 months.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.