Job Description
## AI Transformation Program Director
**Department:** AI Strategy & Business Integration | **Industry:** Machine Learning
**Location:** Indore | **Job Type:** Full-time | **CTC:** INR 12.0-78.6 LPA
### Role Overview
This position calls for an AI Transformation Program Director who can take ownership of core responsibilities within our AI Strategy & Business Integration team. The role is positioned at the senior level and reports into the broader AI Strategy & Business Integration charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to ai strategy & business integration.
- Apply working knowledge of Business Integration and MLOps to daily execution.
- Coordinate with cross-functional stakeholders within Machine Learning.
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- M.Tech (Machine Learning) or equivalent qualification.
- 12 years of relevant experience (senior level).
- Working proficiency in: Business Integration, MLOps, Python, Statistical Modelling, Feature Engineering, Model Evaluation & Tuning, Computer Vision/NLP Basics, AI Strategy, TensorFlow/PyTorch.
### Additional Notes
The package is structured with a fixed component, performance bonus, and standard health coverage. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. 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. The next logical step from this position is a senior or lead-track role within the same function. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Internal job postings are open to employees who've completed a minimum tenure in their current role. 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. Interested candidates should be prepared to walk through relevant past work during the interview process. Compensation includes standard statutory benefits along with performance-linked variable pay. 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. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
**Department:** AI Strategy & Business Integration | **Industry:** Machine Learning
**Location:** Indore | **Job Type:** Full-time | **CTC:** INR 12.0-78.6 LPA
### Role Overview
This position calls for an AI Transformation Program Director who can take ownership of core responsibilities within our AI Strategy & Business Integration team. The role is positioned at the senior level and reports into the broader AI Strategy & Business Integration charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to ai strategy & business integration.
- Apply working knowledge of Business Integration and MLOps to daily execution.
- Coordinate with cross-functional stakeholders within Machine Learning.
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- M.Tech (Machine Learning) or equivalent qualification.
- 12 years of relevant experience (senior level).
- Working proficiency in: Business Integration, MLOps, Python, Statistical Modelling, Feature Engineering, Model Evaluation & Tuning, Computer Vision/NLP Basics, AI Strategy, TensorFlow/PyTorch.
### Additional Notes
The package is structured with a fixed component, performance bonus, and standard health coverage. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. 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. The next logical step from this position is a senior or lead-track role within the same function. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Internal job postings are open to employees who've completed a minimum tenure in their current role. 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. Interested candidates should be prepared to walk through relevant past work during the interview process. Compensation includes standard statutory benefits along with performance-linked variable pay. 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. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. There is a defined internal mobility path for people who want to specialise deeper or move into people management.