Job Description
Looking for an AI Simulation Engineer who's genuinely interested in AI Research & Development and wants to make an impact from day one.
You'll be working out of Kolkata (full-time), and honestly, the day-to-day is going to revolve around Statistical Modelling and Python. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai research & development.
On paper, we'd expect M.Tech (AI/ML) and somewhere around 4 years of experience, but we're just as interested in how you think as in what's on your resume.
Pay-wise, we're offering INR 14.9-31.0 LPA - fair for the mid level band and open to discussion based on what you bring.
The next logical step from this position is a senior or lead-track role within the same function. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
Internal job postings are open to employees who've completed a minimum tenure in their current role. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
Compensation includes standard statutory benefits along with performance-linked variable pay. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. 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. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. 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. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
The organisation has historically promoted from within for a majority of its senior and lead openings. High performers in this role typically move into a broader ownership scope within 18-24 months.
You'll be working out of Kolkata (full-time), and honestly, the day-to-day is going to revolve around Statistical Modelling and Python. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai research & development.
On paper, we'd expect M.Tech (AI/ML) and somewhere around 4 years of experience, but we're just as interested in how you think as in what's on your resume.
Pay-wise, we're offering INR 14.9-31.0 LPA - fair for the mid level band and open to discussion based on what you bring.
The next logical step from this position is a senior or lead-track role within the same function. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
Internal job postings are open to employees who've completed a minimum tenure in their current role. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
Compensation includes standard statutory benefits along with performance-linked variable pay. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. 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. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. 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. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
The organisation has historically promoted from within for a majority of its senior and lead openings. High performers in this role typically move into a broader ownership scope within 18-24 months.