Job Description
## Conversational AI Research Engineer
**Department:** Conversational AI | **Industry:** Artificial Intelligence (AI)
**Location:** Kolkata | **Job Type:** Contract | **CTC:** INR 19.5-42.5 LPA
### Role Overview
The organisation is seeking a qualified Conversational AI Research Engineer to support ongoing initiatives in Conversational AI. The role is positioned at the mid 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 Statistical Modelling and Neural Network Architectures 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.Sc (Data Science) or equivalent qualification.
- 3 years of relevant experience (mid level).
- Working proficiency in: Statistical Modelling, Neural Network Architectures, Natural Language Processing, Model Deployment (MLOps), Python, Conversational AI, Data Preprocessing, TensorFlow/PyTorch.
### Additional Notes
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Interested candidates should be prepared to walk through relevant past work during the interview process. The next logical step from this position is a senior or lead-track role within the same function. Learning and certification support is available for tools and frameworks directly relevant to the role. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. High performers in this role typically move into a broader ownership scope within 18-24 months. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Internal job postings are open to employees who've completed a minimum tenure in their current role. The organisation has historically promoted from within for a majority of its senior and lead openings. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. There is a defined internal mobility path for people who want to specialise deeper or move into people management. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. 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.
**Department:** Conversational AI | **Industry:** Artificial Intelligence (AI)
**Location:** Kolkata | **Job Type:** Contract | **CTC:** INR 19.5-42.5 LPA
### Role Overview
The organisation is seeking a qualified Conversational AI Research Engineer to support ongoing initiatives in Conversational AI. The role is positioned at the mid 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 Statistical Modelling and Neural Network Architectures 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.Sc (Data Science) or equivalent qualification.
- 3 years of relevant experience (mid level).
- Working proficiency in: Statistical Modelling, Neural Network Architectures, Natural Language Processing, Model Deployment (MLOps), Python, Conversational AI, Data Preprocessing, TensorFlow/PyTorch.
### Additional Notes
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Interested candidates should be prepared to walk through relevant past work during the interview process. The next logical step from this position is a senior or lead-track role within the same function. Learning and certification support is available for tools and frameworks directly relevant to the role. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. High performers in this role typically move into a broader ownership scope within 18-24 months. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Internal job postings are open to employees who've completed a minimum tenure in their current role. The organisation has historically promoted from within for a majority of its senior and lead openings. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. There is a defined internal mobility path for people who want to specialise deeper or move into people management. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. 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.