Job Description
Position: Machine Learning Research Scientist
Function: Artificial Intelligence & Machine Learning
Industry: Academic Research
Grade: mid level
Location: Mumbai
Employment Type: Hybrid
Compensation: INR 9.9-25.9 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with artificial intelligence & machine learning, in accordance with the standards and processes laid down by Academic Research.
Minimum Qualification: M.Phil
Minimum Experience: 6 years
Core Competencies Required: Artificial Intelligence, Qualitative Analysis, Academic Writing, Machine Learning, Research Methodology, Experimental Design
Further Information:
The next logical step from this position is a senior or lead-track role within the same function. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. High performers in this role typically move into a broader ownership scope within 18-24 months. Learning and certification support is available for tools and frameworks directly relevant to the role. Internal job postings are open to employees who've completed a minimum tenure in their current role. The package is structured with a fixed component, performance bonus, and standard health coverage. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Compensation includes standard statutory benefits along with performance-linked variable pay. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Most days include at least one review checkpoint where progress is discussed against the plan for the week. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Relocation assistance may be extended for candidates moving from a different city, subject to approval. 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. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
Function: Artificial Intelligence & Machine Learning
Industry: Academic Research
Grade: mid level
Location: Mumbai
Employment Type: Hybrid
Compensation: INR 9.9-25.9 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with artificial intelligence & machine learning, in accordance with the standards and processes laid down by Academic Research.
Minimum Qualification: M.Phil
Minimum Experience: 6 years
Core Competencies Required: Artificial Intelligence, Qualitative Analysis, Academic Writing, Machine Learning, Research Methodology, Experimental Design
Further Information:
The next logical step from this position is a senior or lead-track role within the same function. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. High performers in this role typically move into a broader ownership scope within 18-24 months. Learning and certification support is available for tools and frameworks directly relevant to the role. Internal job postings are open to employees who've completed a minimum tenure in their current role. The package is structured with a fixed component, performance bonus, and standard health coverage. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Compensation includes standard statutory benefits along with performance-linked variable pay. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Most days include at least one review checkpoint where progress is discussed against the plan for the week. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Relocation assistance may be extended for candidates moving from a different city, subject to approval. 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. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.