Job Description
Position: AI Data Protection Engineer – Entry Level
Function: AI Security & Privacy
Industry: Artificial Intelligence (AI)
Grade: junior level
Location: Bhubaneswar
Employment Type: Full-time
Compensation: INR 4.9-17.6 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: 0 years
Core Competencies Required: TensorFlow/PyTorch, Privacy, AI Security, Data Preprocessing, Deep Learning, Machine Learning
Further Information:
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Interested candidates should be prepared to walk through relevant past work during the interview process. References may be requested closer to the offer stage rather than at the start of the process. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The organisation has historically promoted from within for a majority of its senior and lead openings. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Learning and certification support is available for tools and frameworks directly relevant to the role. The package is structured with a fixed component, performance bonus, and standard health coverage.
Function: AI Security & Privacy
Industry: Artificial Intelligence (AI)
Grade: junior level
Location: Bhubaneswar
Employment Type: Full-time
Compensation: INR 4.9-17.6 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: 0 years
Core Competencies Required: TensorFlow/PyTorch, Privacy, AI Security, Data Preprocessing, Deep Learning, Machine Learning
Further Information:
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Interested candidates should be prepared to walk through relevant past work during the interview process. References may be requested closer to the offer stage rather than at the start of the process. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The organisation has historically promoted from within for a majority of its senior and lead openings. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Learning and certification support is available for tools and frameworks directly relevant to the role. The package is structured with a fixed component, performance bonus, and standard health coverage.