Job Description
Applied AI Research Assistant | Mumbai | INR 4.7-13.1 LPA
Artificial Intelligence & Machine Learning role, junior level, full-time (wfh).
Need: M.Sc, 2+ yrs.
Core skills: Quantitative Analysis, Presentation Skills, Machine Learning, Academic Writing, Artificial Intelligence.
If this fits your profile in artificial intelligence & machine learning, apply now.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. 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 role alternates between independent deep work and short coordination huddles with stakeholders across functions. The package is structured with a fixed component, performance bonus, and standard health coverage. Compensation includes standard statutory benefits along with performance-linked variable pay.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Interested candidates should be prepared to walk through relevant past work during the interview process.
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.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
Artificial Intelligence & Machine Learning role, junior level, full-time (wfh).
Need: M.Sc, 2+ yrs.
Core skills: Quantitative Analysis, Presentation Skills, Machine Learning, Academic Writing, Artificial Intelligence.
If this fits your profile in artificial intelligence & machine learning, apply now.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. 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 role alternates between independent deep work and short coordination huddles with stakeholders across functions. The package is structured with a fixed component, performance bonus, and standard health coverage. Compensation includes standard statutory benefits along with performance-linked variable pay.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Interested candidates should be prepared to walk through relevant past work during the interview process.
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.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.