Job Description
**AI Skill Development Trainee** | Chandigarh | Full-time (WFH) | INR 6.3-14.4 LPA
**About the role:**
- Position within AI Training & Upskilling Programs, under the Artificial Intelligence (AI) vertical
- Level: junior level
- Reports to the functional head for AI Training & Upskilling Programs
**What you'll do:**
- Handle core ai training & upskilling programs 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
- Neural Network Architectures
- AI Training
- Upskilling Programs
- B.Tech (CS/AI)
- 1+ years of relevant experience
**Good to know:**
- New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Compensation includes standard statutory benefits along with performance-linked variable pay. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
- 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.
- The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
- Most days include at least one review checkpoint where progress is discussed against the plan for the week. 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. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
- Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
**About the role:**
- Position within AI Training & Upskilling Programs, under the Artificial Intelligence (AI) vertical
- Level: junior level
- Reports to the functional head for AI Training & Upskilling Programs
**What you'll do:**
- Handle core ai training & upskilling programs 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
- Neural Network Architectures
- AI Training
- Upskilling Programs
- B.Tech (CS/AI)
- 1+ years of relevant experience
**Good to know:**
- New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Compensation includes standard statutory benefits along with performance-linked variable pay. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
- 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.
- The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
- Most days include at least one review checkpoint where progress is discussed against the plan for the week. 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. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
- Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.