Job Description
Machine Learning is looking for an experienced AI Security Strategy Lead to take ownership of the AI for Cybersecurity charter at a senior level. This is a role for someone who has already operated at scale and is comfortable setting direction rather than simply following one.
The successful candidate will bring approximately 10 years of progressively senior experience, holding M.Sc (Data Science), with a demonstrated track record across AI for Cybersecurity, Feature Engineering, Computer Vision/NLP Basics, Python, Model Evaluation & Tuning. Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.
Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Kolkata on a leadership - full-time arrangement. Compensation is benchmarked at INR 43.7-89.9 LPA, reflecting the seniority and scope of the position.
Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within ai for cybersecurity.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Interested candidates should be prepared to walk through relevant past work during the interview process.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
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. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
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. High performers in this role typically move into a broader ownership scope within 18-24 months.
References may be requested closer to the offer stage rather than at the start of the process. 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.
The successful candidate will bring approximately 10 years of progressively senior experience, holding M.Sc (Data Science), with a demonstrated track record across AI for Cybersecurity, Feature Engineering, Computer Vision/NLP Basics, Python, Model Evaluation & Tuning. Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.
Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Kolkata on a leadership - full-time arrangement. Compensation is benchmarked at INR 43.7-89.9 LPA, reflecting the seniority and scope of the position.
Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within ai for cybersecurity.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Interested candidates should be prepared to walk through relevant past work during the interview process.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
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. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
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. High performers in this role typically move into a broader ownership scope within 18-24 months.
References may be requested closer to the offer stage rather than at the start of the process. 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.