Job Description
Head of Machine Learning Research | Delhi NCR | INR 17.2-32.3 LPA
Artificial Intelligence & Machine Learning role, senior level, full-time.
Need: M.Phil, 14+ yrs.
Core skills: Citation Management (EndNote/Zotero), Data Analysis, Academic Writing, Machine Learning, Presentation Skills.
If this fits your profile in artificial intelligence & machine learning, apply now.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. 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. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
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.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. 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. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The next logical step from this position is a senior or lead-track role within the same function.
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. The package is structured with a fixed component, performance bonus, and standard health coverage.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. References may be requested closer to the offer stage rather than at the start of the process. 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. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Compensation includes standard statutory benefits along with performance-linked variable pay.
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.
Artificial Intelligence & Machine Learning role, senior level, full-time.
Need: M.Phil, 14+ yrs.
Core skills: Citation Management (EndNote/Zotero), Data Analysis, Academic Writing, Machine Learning, Presentation Skills.
If this fits your profile in artificial intelligence & machine learning, apply now.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. 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. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
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.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. 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. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The next logical step from this position is a senior or lead-track role within the same function.
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. The package is structured with a fixed component, performance bonus, and standard health coverage.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. References may be requested closer to the offer stage rather than at the start of the process. 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. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Compensation includes standard statutory benefits along with performance-linked variable pay.
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.