Job Description
AI Product Lead – Chatbots | Chennai | INR 25.4-47.5 LPA
AI Chatbots role, senior level, full-time.
Need: M.Tech (AI/ML), 14+ yrs.
Core skills: TensorFlow/PyTorch, Machine Learning, AI Chatbots, Natural Language Processing, Python.
If this fits your profile in ai chatbots, apply now.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Learning and certification support is available for tools and frameworks directly relevant to the role.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. The next logical step from this position is a senior or lead-track role within the same function. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. 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. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
Internal job postings are open to employees who've completed a minimum tenure in their current role. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
Most days include at least one review checkpoint where progress is discussed against the plan for the week. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
The organisation has historically promoted from within for a majority of its senior and lead openings. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. 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.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
AI Chatbots role, senior level, full-time.
Need: M.Tech (AI/ML), 14+ yrs.
Core skills: TensorFlow/PyTorch, Machine Learning, AI Chatbots, Natural Language Processing, Python.
If this fits your profile in ai chatbots, apply now.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Learning and certification support is available for tools and frameworks directly relevant to the role.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. The next logical step from this position is a senior or lead-track role within the same function. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. 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. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
Internal job postings are open to employees who've completed a minimum tenure in their current role. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
Most days include at least one review checkpoint where progress is discussed against the plan for the week. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
The organisation has historically promoted from within for a majority of its senior and lead openings. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. 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.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.