Job Description
Position: AI Voice & Text Interaction Lead
Function: Conversational AI
Industry: Artificial Intelligence (AI)
Grade: senior level
Location: Gurugram
Employment Type: Hybrid
Compensation: INR 51.6-115.5 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with conversational ai, in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: M.Sc (Data Science)
Minimum Experience: 15 years
Core Competencies Required: Data Preprocessing, TensorFlow/PyTorch, Natural Language Processing, Python, Conversational AI, Deep Learning
Further Information:
Interested candidates should be prepared to walk through relevant past work during the interview process. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. High performers in this role typically move into a broader ownership scope within 18-24 months. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. 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. 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. Learning and certification support is available for tools and frameworks directly relevant to the role. Compensation includes standard statutory benefits along with performance-linked variable pay. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. There is a defined internal mobility path for people who want to specialise deeper or move into people management. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. 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. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
Function: Conversational AI
Industry: Artificial Intelligence (AI)
Grade: senior level
Location: Gurugram
Employment Type: Hybrid
Compensation: INR 51.6-115.5 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with conversational ai, in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: M.Sc (Data Science)
Minimum Experience: 15 years
Core Competencies Required: Data Preprocessing, TensorFlow/PyTorch, Natural Language Processing, Python, Conversational AI, Deep Learning
Further Information:
Interested candidates should be prepared to walk through relevant past work during the interview process. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. High performers in this role typically move into a broader ownership scope within 18-24 months. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. 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. 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. Learning and certification support is available for tools and frameworks directly relevant to the role. Compensation includes standard statutory benefits along with performance-linked variable pay. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. There is a defined internal mobility path for people who want to specialise deeper or move into people management. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. 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. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.