Job Description
An opening exists for a Director – NLP & Conversational AI Solutions to join the Artificial Intelligence (AI) vertical, focused on Conversational AI. This is a senior level opening based out of Remote (Pan India), offered on a full-time basis.
The ideal candidate holds M.Sc (Data Science) and brings roughly 9 years of hands-on exposure to conversational ai. Day-to-day, the work draws heavily on Model Deployment (MLOps), Conversational AI, Statistical Modelling, Natural Language Processing, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 30.4-63.2 LPA, in line with market standards for senior level roles within artificial intelligence (ai).
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Interested candidates should be prepared to walk through relevant past work during the interview process.
Learning and certification support is available for tools and frameworks directly relevant to the role. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. References may be requested closer to the offer stage rather than at the start of the process.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The next logical step from this position is a senior or lead-track role within the same function. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
The package is structured with a fixed component, performance bonus, and standard health coverage. High performers in this role typically move into a broader ownership scope within 18-24 months. 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. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The organisation has historically promoted from within for a majority of its senior and lead openings. 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. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
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.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Compensation includes standard statutory benefits along with performance-linked variable pay.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. There is a defined internal mobility path for people who want to specialise deeper or move into people management. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
The organisation has historically promoted from within for a majority of its senior and lead openings. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
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.
If your background aligns with the above and you're looking for your next step in Conversational AI, we'd like to hear from you.
The ideal candidate holds M.Sc (Data Science) and brings roughly 9 years of hands-on exposure to conversational ai. Day-to-day, the work draws heavily on Model Deployment (MLOps), Conversational AI, Statistical Modelling, Natural Language Processing, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 30.4-63.2 LPA, in line with market standards for senior level roles within artificial intelligence (ai).
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Interested candidates should be prepared to walk through relevant past work during the interview process.
Learning and certification support is available for tools and frameworks directly relevant to the role. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. References may be requested closer to the offer stage rather than at the start of the process.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The next logical step from this position is a senior or lead-track role within the same function. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
The package is structured with a fixed component, performance bonus, and standard health coverage. High performers in this role typically move into a broader ownership scope within 18-24 months. 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. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The organisation has historically promoted from within for a majority of its senior and lead openings. 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. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
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.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Compensation includes standard statutory benefits along with performance-linked variable pay.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. There is a defined internal mobility path for people who want to specialise deeper or move into people management. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
The organisation has historically promoted from within for a majority of its senior and lead openings. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
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.
If your background aligns with the above and you're looking for your next step in Conversational AI, we'd like to hear from you.