Job Description
Artificial Intelligence (AI) is looking for an experienced AI Risk Technology Trainee to take ownership of the AI-driven Risk Management charter at a junior 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 2 years of progressively senior experience, holding B.Tech (CS/AI), with a demonstrated track record across Python, driven Risk Management, Natural Language Processing, Statistical Modelling, Computer Vision. 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 Chennai on a full-time arrangement. Compensation is benchmarked at INR 12.3-19.4 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-driven risk management.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
The successful candidate will bring approximately 2 years of progressively senior experience, holding B.Tech (CS/AI), with a demonstrated track record across Python, driven Risk Management, Natural Language Processing, Statistical Modelling, Computer Vision. 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 Chennai on a full-time arrangement. Compensation is benchmarked at INR 12.3-19.4 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-driven risk management.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.