Job Description
The organisation is seeking a qualified Head of AI Research to support ongoing initiatives in Artificial Intelligence & Machine Learning. This is a senior level opening based out of Lucknow, offered on a full-time basis.
The ideal candidate holds Ph.D and brings roughly 14 years of hands-on exposure to artificial intelligence & machine learning. Day-to-day, the work draws heavily on Artificial Intelligence, Quantitative Analysis, Presentation Skills, Academic Writing, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 12.6-42.3 LPA, in line with market standards for senior level roles within academic research.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. 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 organisation has historically promoted from within for a majority of its senior and lead openings. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. 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. Learning and certification support is available for tools and frameworks directly relevant to the role.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The package is structured with a fixed component, performance bonus, and standard health coverage. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The next logical step from this position is a senior or lead-track role within the same function. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
Most days include at least one review checkpoint where progress is discussed against the plan for the week. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. 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. Interested candidates should be prepared to walk through relevant past work during the interview process.
High performers in this role typically move into a broader ownership scope within 18-24 months. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Compensation includes standard statutory benefits along with performance-linked variable pay.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. Internal job postings are open to employees who've completed a minimum tenure in their current role.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. 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 Artificial Intelligence & Machine Learning, we'd like to hear from you.
The ideal candidate holds Ph.D and brings roughly 14 years of hands-on exposure to artificial intelligence & machine learning. Day-to-day, the work draws heavily on Artificial Intelligence, Quantitative Analysis, Presentation Skills, Academic Writing, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 12.6-42.3 LPA, in line with market standards for senior level roles within academic research.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. 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 organisation has historically promoted from within for a majority of its senior and lead openings. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. 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. Learning and certification support is available for tools and frameworks directly relevant to the role.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The package is structured with a fixed component, performance bonus, and standard health coverage. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The next logical step from this position is a senior or lead-track role within the same function. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
Most days include at least one review checkpoint where progress is discussed against the plan for the week. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. 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. Interested candidates should be prepared to walk through relevant past work during the interview process.
High performers in this role typically move into a broader ownership scope within 18-24 months. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Compensation includes standard statutory benefits along with performance-linked variable pay.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. Internal job postings are open to employees who've completed a minimum tenure in their current role.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. 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 Artificial Intelligence & Machine Learning, we'd like to hear from you.