Job Description
The organisation is seeking a qualified AI Security Experimentation Assistant to support ongoing initiatives in AI for Cybersecurity. This is a junior level opening based out of Jaipur, offered on a full-time basis.
The ideal candidate holds B.Tech (CS/AI) and brings roughly 0 years of hands-on exposure to ai for cybersecurity. Day-to-day, the work draws heavily on Statistical Modelling, Computer Vision/NLP Basics, AI for Cybersecurity, Python, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 10.5-17.3 LPA, in line with market standards for junior level roles within machine learning.
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 environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
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.
References may be requested closer to the offer stage rather than at the start of the process. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
This role offers a genuine opportunity to build depth in AI for Cybersecurity while working alongside an experienced team.
The ideal candidate holds B.Tech (CS/AI) and brings roughly 0 years of hands-on exposure to ai for cybersecurity. Day-to-day, the work draws heavily on Statistical Modelling, Computer Vision/NLP Basics, AI for Cybersecurity, Python, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 10.5-17.3 LPA, in line with market standards for junior level roles within machine learning.
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 environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
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.
References may be requested closer to the offer stage rather than at the start of the process. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
This role offers a genuine opportunity to build depth in AI for Cybersecurity while working alongside an experienced team.