Job Description
**AI Risk Intelligence Engineer** | Ahmedabad | Full-time (WFH) | INR 13.9-38.6 LPA
**About the role:**
- Position within AI-driven Risk Management, under the Artificial Intelligence (AI) vertical
- Level: mid level
- Reports to the functional head for AI-driven Risk Management
**What you'll do:**
- Handle core ai-driven risk management activities on a day-to-day basis
- Use Data Preprocessing regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- Data Preprocessing
- Machine Learning
- Neural Network Architectures
- driven Risk Management
- Python
- TensorFlow/PyTorch
- M.Tech (AI/ML)
- 6+ years of relevant experience
**Good to know:**
- The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
- New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
- 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.
- The next logical step from this position is a senior or lead-track role within the same function. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
**About the role:**
- Position within AI-driven Risk Management, under the Artificial Intelligence (AI) vertical
- Level: mid level
- Reports to the functional head for AI-driven Risk Management
**What you'll do:**
- Handle core ai-driven risk management activities on a day-to-day basis
- Use Data Preprocessing regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- Data Preprocessing
- Machine Learning
- Neural Network Architectures
- driven Risk Management
- Python
- TensorFlow/PyTorch
- M.Tech (AI/ML)
- 6+ years of relevant experience
**Good to know:**
- The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
- New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
- 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.
- The next logical step from this position is a senior or lead-track role within the same function. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.