Job Description
We're hiring an AI Learning Experience Manager to join our growing AI Training & Upskilling Programs team - if this sounds like your kind of work, read on.
You'll be working out of Coimbatore (full-time), and honestly, the day-to-day is going to revolve around Computer Vision and Machine Learning. 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 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 18.3-47.7 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. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
The organisation has historically promoted from within for a majority of its senior and lead openings. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
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. References may be requested closer to the offer stage rather than at the start of the process. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
The next logical step from this position is a senior or lead-track role within the same function. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. High performers in this role typically move into a broader ownership scope within 18-24 months.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. 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.
You'll be working out of Coimbatore (full-time), and honestly, the day-to-day is going to revolve around Computer Vision and Machine Learning. 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 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 18.3-47.7 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. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
The organisation has historically promoted from within for a majority of its senior and lead openings. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
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. References may be requested closer to the offer stage rather than at the start of the process. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
The next logical step from this position is a senior or lead-track role within the same function. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. High performers in this role typically move into a broader ownership scope within 18-24 months.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. 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.