Job Description
## Senior Conversational AI Researcher
**Department:** Conversational AI | **Industry:** Artificial Intelligence (AI)
**Location:** Ahmedabad | **Job Type:** Full-time | **CTC:** INR 36.3-65.8 LPA
### Role Overview
An opening exists for a Senior Conversational AI Researcher to join the Artificial Intelligence (AI) vertical, focused on Conversational AI. The role is positioned at the senior level and reports into the broader Conversational AI charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to conversational ai.
- Apply working knowledge of Deep Learning and Python 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
- M.Tech (AI/ML) or equivalent qualification.
- 16 years of relevant experience (senior level).
- Working proficiency in: Deep Learning, Python, Cloud Platforms (AWS/GCP/Azure), Conversational AI, Neural Network Architectures, TensorFlow/PyTorch, Machine Learning, Computer Vision, Model Deployment (MLOps).
### Additional Notes
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The organisation has historically promoted from within for a majority of its senior and lead openings. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Interested candidates should be prepared to walk through relevant past work during the interview process. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The next logical step from this position is a senior or lead-track role within the same function. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. 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. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. High performers in this role typically move into a broader ownership scope within 18-24 months. 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. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. The package is structured with a fixed component, performance bonus, and standard health coverage. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. 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. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Learning and certification support is available for tools and frameworks directly relevant to the role. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Most days include at least one review checkpoint where progress is discussed against the plan for the week. 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 team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. The next logical step from this position is a senior or lead-track role within the same function. Internal job postings are open to employees who've completed a minimum tenure in their current role.
**Department:** Conversational AI | **Industry:** Artificial Intelligence (AI)
**Location:** Ahmedabad | **Job Type:** Full-time | **CTC:** INR 36.3-65.8 LPA
### Role Overview
An opening exists for a Senior Conversational AI Researcher to join the Artificial Intelligence (AI) vertical, focused on Conversational AI. The role is positioned at the senior level and reports into the broader Conversational AI charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to conversational ai.
- Apply working knowledge of Deep Learning and Python 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
- M.Tech (AI/ML) or equivalent qualification.
- 16 years of relevant experience (senior level).
- Working proficiency in: Deep Learning, Python, Cloud Platforms (AWS/GCP/Azure), Conversational AI, Neural Network Architectures, TensorFlow/PyTorch, Machine Learning, Computer Vision, Model Deployment (MLOps).
### Additional Notes
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The organisation has historically promoted from within for a majority of its senior and lead openings. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Interested candidates should be prepared to walk through relevant past work during the interview process. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The next logical step from this position is a senior or lead-track role within the same function. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. 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. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. High performers in this role typically move into a broader ownership scope within 18-24 months. 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. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. The package is structured with a fixed component, performance bonus, and standard health coverage. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. 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. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Learning and certification support is available for tools and frameworks directly relevant to the role. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Most days include at least one review checkpoint where progress is discussed against the plan for the week. 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 team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. The next logical step from this position is a senior or lead-track role within the same function. Internal job postings are open to employees who've completed a minimum tenure in their current role.