Job Description
## Head of Generative AI Engineering
**Department:** Generative AI | **Industry:** Machine Learning
**Location:** Nagpur | **Job Type:** Leadership - Full-time | **CTC:** INR 36.9-102.1 LPA
### Role Overview
This position calls for a Head of Generative AI Engineering who can take ownership of core responsibilities within our Generative AI team. The role is positioned at the senior level and reports into the broader Generative AI charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to generative ai.
- Apply working knowledge of Computer Vision/NLP Basics 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.Sc (Data Science) or equivalent qualification.
- 14 years of relevant experience (senior level).
- Working proficiency in: Computer Vision/NLP Basics, MLOps, Deep Learning, Generative AI, Data Preprocessing, Python.
### Additional Notes
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. 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. 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. Interested candidates should be prepared to walk through relevant past work during the interview process. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. 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. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. 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. Compensation includes standard statutory benefits along with performance-linked variable pay. 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. Internal job postings are open to employees who've completed a minimum tenure in their current role. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. 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. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. References may be requested closer to the offer stage rather than at the start of the process. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
**Department:** Generative AI | **Industry:** Machine Learning
**Location:** Nagpur | **Job Type:** Leadership - Full-time | **CTC:** INR 36.9-102.1 LPA
### Role Overview
This position calls for a Head of Generative AI Engineering who can take ownership of core responsibilities within our Generative AI team. The role is positioned at the senior level and reports into the broader Generative AI charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to generative ai.
- Apply working knowledge of Computer Vision/NLP Basics 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.Sc (Data Science) or equivalent qualification.
- 14 years of relevant experience (senior level).
- Working proficiency in: Computer Vision/NLP Basics, MLOps, Deep Learning, Generative AI, Data Preprocessing, Python.
### Additional Notes
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. 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. 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. Interested candidates should be prepared to walk through relevant past work during the interview process. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. 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. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. 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. Compensation includes standard statutory benefits along with performance-linked variable pay. 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. Internal job postings are open to employees who've completed a minimum tenure in their current role. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. 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. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. References may be requested closer to the offer stage rather than at the start of the process. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.