Job Description
Artificial Intelligence (AI) is looking for an experienced Principal AI Algorithm Engineer to take ownership of the AI Research & Development charter at a senior level. This is a role for someone who has already operated at scale and is comfortable setting direction rather than simply following one.
The successful candidate will bring approximately 16 years of progressively senior experience, holding Ph.D (AI), with a demonstrated track record across Model Deployment (MLOps), Deep Learning, Cloud Platforms (AWS/GCP/Azure), Computer Vision, Python. Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.
Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Remote (Pan India) on a leadership - full-time arrangement. Compensation is benchmarked at INR 18.2-63.1 LPA, reflecting the seniority and scope of the position.
Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within ai research & development.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
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.
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. Interested candidates should be prepared to walk through relevant past work during the interview process.
The organisation has historically promoted from within for a majority of its senior and lead openings. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
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.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. 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. Internal job postings are open to employees who've completed a minimum tenure in their current role.
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. High performers in this role typically move into a broader ownership scope within 18-24 months.
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.
The successful candidate will bring approximately 16 years of progressively senior experience, holding Ph.D (AI), with a demonstrated track record across Model Deployment (MLOps), Deep Learning, Cloud Platforms (AWS/GCP/Azure), Computer Vision, Python. Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.
Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Remote (Pan India) on a leadership - full-time arrangement. Compensation is benchmarked at INR 18.2-63.1 LPA, reflecting the seniority and scope of the position.
Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within ai research & development.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
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.
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. Interested candidates should be prepared to walk through relevant past work during the interview process.
The organisation has historically promoted from within for a majority of its senior and lead openings. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
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.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. 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. Internal job postings are open to employees who've completed a minimum tenure in their current role.
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. High performers in this role typically move into a broader ownership scope within 18-24 months.
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.