Job Description
**AI Governance Intelligence Assistant** | Chennai | Contract | INR 11.2-20.8 LPA
**About the role:**
- Position within AI Policy & Compliance, under the Machine Learning vertical
- Level: junior level
- Reports to the functional head for AI Policy & Compliance
**What you'll do:**
- Handle core ai policy & compliance activities on a day-to-day basis
- Use Computer Vision/NLP Basics 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:**
- Computer Vision/NLP Basics
- AI Policy
- Data Preprocessing
- Statistical Modelling
- Compliance
- B.Tech (CS/AI)
- 1+ years of relevant experience
**Good to know:**
- There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
- Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The organisation has historically promoted from within for a majority of its senior and lead openings.
- New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
- Compensation includes standard statutory benefits along with performance-linked variable pay. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
- References may be requested closer to the offer stage rather than at the start of the process. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
**About the role:**
- Position within AI Policy & Compliance, under the Machine Learning vertical
- Level: junior level
- Reports to the functional head for AI Policy & Compliance
**What you'll do:**
- Handle core ai policy & compliance activities on a day-to-day basis
- Use Computer Vision/NLP Basics 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:**
- Computer Vision/NLP Basics
- AI Policy
- Data Preprocessing
- Statistical Modelling
- Compliance
- B.Tech (CS/AI)
- 1+ years of relevant experience
**Good to know:**
- There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
- Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The organisation has historically promoted from within for a majority of its senior and lead openings.
- New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
- Compensation includes standard statutory benefits along with performance-linked variable pay. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
- References may be requested closer to the offer stage rather than at the start of the process. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.