Job Description
## AI Curriculum Developer
**Department:** AI Training & Upskilling Programs | **Industry:** Artificial Intelligence (AI)
**Location:** Ahmedabad | **Job Type:** Full-time | **CTC:** INR 14.1-41.5 LPA
### Role Overview
The organisation is seeking a qualified AI Curriculum Developer to support ongoing initiatives in AI Training & Upskilling Programs. The role is positioned at the mid level and reports into the broader AI Training & Upskilling Programs charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to ai training & upskilling programs.
- Apply working knowledge of Upskilling Programs and Machine Learning to daily execution.
- Coordinate with cross-functional stakeholders within Artificial Intelligence (AI).
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- B.Tech (CS/AI) or equivalent qualification.
- 3 years of relevant experience (mid level).
- Working proficiency in: Upskilling Programs, Machine Learning, AI Training, Deep Learning, Data Preprocessing, Natural Language Processing, Statistical Modelling.
### Additional Notes
The next logical step from this position is a senior or lead-track role within the same function. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The package is structured with a fixed component, performance bonus, and standard health coverage. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Learning and certification support is available for tools and frameworks directly relevant to the role. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Compensation includes standard statutory benefits along with performance-linked variable pay. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. References may be requested closer to the offer stage rather than at the start of the process. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Internal job postings are open to employees who've completed a minimum tenure in their current role. 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. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
**Department:** AI Training & Upskilling Programs | **Industry:** Artificial Intelligence (AI)
**Location:** Ahmedabad | **Job Type:** Full-time | **CTC:** INR 14.1-41.5 LPA
### Role Overview
The organisation is seeking a qualified AI Curriculum Developer to support ongoing initiatives in AI Training & Upskilling Programs. The role is positioned at the mid level and reports into the broader AI Training & Upskilling Programs charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to ai training & upskilling programs.
- Apply working knowledge of Upskilling Programs and Machine Learning to daily execution.
- Coordinate with cross-functional stakeholders within Artificial Intelligence (AI).
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- B.Tech (CS/AI) or equivalent qualification.
- 3 years of relevant experience (mid level).
- Working proficiency in: Upskilling Programs, Machine Learning, AI Training, Deep Learning, Data Preprocessing, Natural Language Processing, Statistical Modelling.
### Additional Notes
The next logical step from this position is a senior or lead-track role within the same function. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The package is structured with a fixed component, performance bonus, and standard health coverage. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Learning and certification support is available for tools and frameworks directly relevant to the role. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Compensation includes standard statutory benefits along with performance-linked variable pay. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. References may be requested closer to the offer stage rather than at the start of the process. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Internal job postings are open to employees who've completed a minimum tenure in their current role. 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. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.