Job Description
Position: AI Security Operations Engineer
Function: AI Security & Privacy
Industry: Artificial Intelligence (AI)
Grade: mid level
Location: Bengaluru
Employment Type: Contract
Compensation: INR 20.7-35.8 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with ai security & privacy, in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: M.Tech (AI/ML)
Minimum Experience: 4 years
Core Competencies Required: Deep Learning, Neural Network Architectures, Statistical Modelling, Natural Language Processing, AI Security, Cloud Platforms (AWS/GCP/Azure), Privacy, TensorFlow/PyTorch
Further Information:
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. 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. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. References may be requested closer to the offer stage rather than at the start of the process. The package is structured with a fixed component, performance bonus, and standard health coverage. Interested candidates should be prepared to walk through relevant past work during the interview process. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Compensation includes standard statutory benefits along with performance-linked variable pay. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. The next logical step from this position is a senior or lead-track role within the same function. Most days include at least one review checkpoint where progress is discussed against the plan for the week. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. The organisation has historically promoted from within for a majority of its senior and lead openings.
Function: AI Security & Privacy
Industry: Artificial Intelligence (AI)
Grade: mid level
Location: Bengaluru
Employment Type: Contract
Compensation: INR 20.7-35.8 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with ai security & privacy, in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: M.Tech (AI/ML)
Minimum Experience: 4 years
Core Competencies Required: Deep Learning, Neural Network Architectures, Statistical Modelling, Natural Language Processing, AI Security, Cloud Platforms (AWS/GCP/Azure), Privacy, TensorFlow/PyTorch
Further Information:
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. 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. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. References may be requested closer to the offer stage rather than at the start of the process. The package is structured with a fixed component, performance bonus, and standard health coverage. Interested candidates should be prepared to walk through relevant past work during the interview process. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Compensation includes standard statutory benefits along with performance-linked variable pay. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. The next logical step from this position is a senior or lead-track role within the same function. Most days include at least one review checkpoint where progress is discussed against the plan for the week. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. The organisation has historically promoted from within for a majority of its senior and lead openings.