Job Description
Position: Principal NLP Engineer – Dialogue Systems
Function: Conversational AI
Industry: Artificial Intelligence (AI)
Grade: senior level
Location: Chandigarh
Employment Type: Hybrid
Compensation: INR 25.8-72.1 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: 10 years
Core Competencies Required: Neural Network Architectures, Machine Learning, Cloud Platforms (AWS/GCP/Azure), Python, Natural Language Processing, Data Preprocessing, TensorFlow/PyTorch, Conversational AI, Deep Learning
Further Information:
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Internal job postings are open to employees who've completed a minimum tenure in their current role. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The organisation has historically promoted from within for a majority of its senior and lead openings. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Interested candidates should be prepared to walk through relevant past work during the interview process. Relocation assistance may be extended for candidates moving from a different city, subject to approval. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. 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. The package is structured with a fixed component, performance bonus, and standard health coverage. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. 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. High performers in this role typically move into a broader ownership scope within 18-24 months. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. 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. The next logical step from this position is a senior or lead-track role within the same function. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
Function: Conversational AI
Industry: Artificial Intelligence (AI)
Grade: senior level
Location: Chandigarh
Employment Type: Hybrid
Compensation: INR 25.8-72.1 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: 10 years
Core Competencies Required: Neural Network Architectures, Machine Learning, Cloud Platforms (AWS/GCP/Azure), Python, Natural Language Processing, Data Preprocessing, TensorFlow/PyTorch, Conversational AI, Deep Learning
Further Information:
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Internal job postings are open to employees who've completed a minimum tenure in their current role. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The organisation has historically promoted from within for a majority of its senior and lead openings. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Interested candidates should be prepared to walk through relevant past work during the interview process. Relocation assistance may be extended for candidates moving from a different city, subject to approval. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. 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. The package is structured with a fixed component, performance bonus, and standard health coverage. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. 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. High performers in this role typically move into a broader ownership scope within 18-24 months. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. 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. The next logical step from this position is a senior or lead-track role within the same function. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.