Job Description
Position: AI Cybersecurity Engineer – Mid Level
Function: AI Security & Privacy
Industry: Artificial Intelligence (AI)
Grade: mid level
Location: Kolkata
Employment Type: Hybrid
Compensation: INR 24.0-53.2 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: B.Tech (CS/AI)
Minimum Experience: 4 years
Core Competencies Required: Neural Network Architectures, Machine Learning, AI Security, Cloud Platforms (AWS/GCP/Azure), Deep Learning, Data Preprocessing, TensorFlow/PyTorch, Privacy
Further Information:
There is a defined internal mobility path for people who want to specialise deeper or move into people management. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The organisation has historically promoted from within for a majority of its senior and lead openings. References may be requested closer to the offer stage rather than at the start of the process. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The package is structured with a fixed component, performance bonus, and standard health coverage. Relocation assistance may be extended for candidates moving from a different city, subject to approval. 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. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. 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. High performers in this role typically move into a broader ownership scope within 18-24 months. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Internal job postings are open to employees who've completed a minimum tenure in their current role. 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. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Learning and certification support is available for tools and frameworks directly relevant to the role. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Compensation includes standard statutory benefits along with performance-linked variable pay.
Function: AI Security & Privacy
Industry: Artificial Intelligence (AI)
Grade: mid level
Location: Kolkata
Employment Type: Hybrid
Compensation: INR 24.0-53.2 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: B.Tech (CS/AI)
Minimum Experience: 4 years
Core Competencies Required: Neural Network Architectures, Machine Learning, AI Security, Cloud Platforms (AWS/GCP/Azure), Deep Learning, Data Preprocessing, TensorFlow/PyTorch, Privacy
Further Information:
There is a defined internal mobility path for people who want to specialise deeper or move into people management. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The organisation has historically promoted from within for a majority of its senior and lead openings. References may be requested closer to the offer stage rather than at the start of the process. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The package is structured with a fixed component, performance bonus, and standard health coverage. Relocation assistance may be extended for candidates moving from a different city, subject to approval. 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. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. 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. High performers in this role typically move into a broader ownership scope within 18-24 months. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Internal job postings are open to employees who've completed a minimum tenure in their current role. 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. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Learning and certification support is available for tools and frameworks directly relevant to the role. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Compensation includes standard statutory benefits along with performance-linked variable pay.