Job Description
Join us as an AI Enterprise Transformation Architect and help us push AI Strategy & Business Integration forward within Machine Learning.
You'll be working out of Mumbai (full-time), and honestly, the day-to-day is going to revolve around Feature Engineering and Cloud Platforms (AWS/GCP). We're not looking for someone who just ticks boxes - we want someone who actually cares about ai strategy & business integration.
On paper, we'd expect M.Sc (Data Science) and somewhere around 14 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 38.8-105.3 LPA - fair for the senior level band and open to discussion based on what you bring.
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. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
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.
Most days include at least one review checkpoint where progress is discussed against the plan for the week. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Internal job postings are open to employees who've completed a minimum tenure in their current role.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The package is structured with a fixed component, performance bonus, and standard health coverage. Compensation includes standard statutory benefits along with performance-linked variable pay.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. There is a defined internal mobility path for people who want to specialise deeper or move into people management. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
References may be requested closer to the offer stage rather than at the start of the process. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
The next logical step from this position is a senior or lead-track role within the same function. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
You'll be working out of Mumbai (full-time), and honestly, the day-to-day is going to revolve around Feature Engineering and Cloud Platforms (AWS/GCP). We're not looking for someone who just ticks boxes - we want someone who actually cares about ai strategy & business integration.
On paper, we'd expect M.Sc (Data Science) and somewhere around 14 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 38.8-105.3 LPA - fair for the senior level band and open to discussion based on what you bring.
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. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
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.
Most days include at least one review checkpoint where progress is discussed against the plan for the week. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Internal job postings are open to employees who've completed a minimum tenure in their current role.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The package is structured with a fixed component, performance bonus, and standard health coverage. Compensation includes standard statutory benefits along with performance-linked variable pay.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. There is a defined internal mobility path for people who want to specialise deeper or move into people management. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
References may be requested closer to the offer stage rather than at the start of the process. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
The next logical step from this position is a senior or lead-track role within the same function. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.