Job Description
Position: VP – AI Research & Development
Function: Deep Learning
Industry: Artificial Intelligence (AI)
Grade: senior level
Location: Lucknow
Employment Type: Leadership - Full-time
Compensation: INR 22.5-61.1 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with deep learning, in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: M.Sc (Data Science)
Minimum Experience: 8 years
Core Competencies Required: Machine Learning, Model Deployment (MLOps), Data Preprocessing, Statistical Modelling, Neural Network Architectures, Python, Deep Learning
Further Information:
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. 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. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Learning and certification support is available for tools and frameworks directly relevant to the role. References may be requested closer to the offer stage rather than at the start of the process. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The next logical step from this position is a senior or lead-track role within the same function. Most days include at least one review checkpoint where progress is discussed against the plan for the week. The package is structured with a fixed component, performance bonus, and standard health coverage. 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. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The organisation has historically promoted from within for a majority of its senior and lead openings. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Interested candidates should be prepared to walk through relevant past work during the interview process. 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. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. There is a defined internal mobility path for people who want to specialise deeper or move into people management. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
Function: Deep Learning
Industry: Artificial Intelligence (AI)
Grade: senior level
Location: Lucknow
Employment Type: Leadership - Full-time
Compensation: INR 22.5-61.1 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with deep learning, in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: M.Sc (Data Science)
Minimum Experience: 8 years
Core Competencies Required: Machine Learning, Model Deployment (MLOps), Data Preprocessing, Statistical Modelling, Neural Network Architectures, Python, Deep Learning
Further Information:
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. 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. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Learning and certification support is available for tools and frameworks directly relevant to the role. References may be requested closer to the offer stage rather than at the start of the process. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The next logical step from this position is a senior or lead-track role within the same function. Most days include at least one review checkpoint where progress is discussed against the plan for the week. The package is structured with a fixed component, performance bonus, and standard health coverage. 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. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The organisation has historically promoted from within for a majority of its senior and lead openings. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Interested candidates should be prepared to walk through relevant past work during the interview process. 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. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. There is a defined internal mobility path for people who want to specialise deeper or move into people management. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.