Job Description
## AI Regulatory Intelligence Specialist
**Department:** AI Policy & Compliance | **Industry:** Machine Learning
**Location:** Bhubaneswar | **Job Type:** Contract | **CTC:** INR 25.6-41.2 LPA
### Role Overview
The organisation is seeking a qualified AI Regulatory Intelligence Specialist to support ongoing initiatives in AI Policy & Compliance. The role is positioned at the mid level and reports into the broader AI Policy & Compliance charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to ai policy & compliance.
- Apply working knowledge of Data Preprocessing and Deep Learning to daily execution.
- Coordinate with cross-functional stakeholders within Machine Learning.
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- B.Tech (CS/AI) or equivalent qualification.
- 6 years of relevant experience (mid level).
- Working proficiency in: Data Preprocessing, Deep Learning, Cloud Platforms (AWS/GCP), Compliance, AI Policy.
### Additional Notes
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Compensation includes standard statutory benefits along with performance-linked variable pay. Interested candidates should be prepared to walk through relevant past work during the interview process. High performers in this role typically move into a broader ownership scope within 18-24 months. 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. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. The package is structured with a fixed component, performance bonus, and standard health coverage. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
**Department:** AI Policy & Compliance | **Industry:** Machine Learning
**Location:** Bhubaneswar | **Job Type:** Contract | **CTC:** INR 25.6-41.2 LPA
### Role Overview
The organisation is seeking a qualified AI Regulatory Intelligence Specialist to support ongoing initiatives in AI Policy & Compliance. The role is positioned at the mid level and reports into the broader AI Policy & Compliance charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to ai policy & compliance.
- Apply working knowledge of Data Preprocessing and Deep Learning to daily execution.
- Coordinate with cross-functional stakeholders within Machine Learning.
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- B.Tech (CS/AI) or equivalent qualification.
- 6 years of relevant experience (mid level).
- Working proficiency in: Data Preprocessing, Deep Learning, Cloud Platforms (AWS/GCP), Compliance, AI Policy.
### Additional Notes
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Compensation includes standard statutory benefits along with performance-linked variable pay. Interested candidates should be prepared to walk through relevant past work during the interview process. High performers in this role typically move into a broader ownership scope within 18-24 months. 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. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. The package is structured with a fixed component, performance bonus, and standard health coverage. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.