Job Description
**Principal AI Learning Consultant** | Lucknow | Leadership - Full-time | INR 12.8-71.4 LPA
**About the role:**
- Position within AI Training & Upskilling Programs, under the Artificial Intelligence (AI) vertical
- Level: senior 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 Computer Vision 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
- AI Training
- Cloud Platforms (AWS/GCP/Azure)
- Statistical Modelling
- Machine Learning
- Deep Learning
- Data Preprocessing
- Upskilling Programs
- Natural Language Processing
- M.Tech (AI/ML)
- 12+ years of relevant experience
**Good to know:**
- A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
- Internal job postings are open to employees who've completed a minimum tenure in their current role. The next logical step from this position is a senior or lead-track role within the same function. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
- There is a defined internal mobility path for people who want to specialise deeper or move into people management. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
- 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. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
- References may be requested closer to the offer stage rather than at the start of the process. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
- In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The package is structured with a fixed component, performance bonus, and standard health coverage. Compensation includes standard statutory benefits along with performance-linked variable pay.
- Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Interested candidates should be prepared to walk through relevant past work during the interview process. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
- High performers in this role typically move into a broader ownership scope within 18-24 months. 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: senior 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 Computer Vision 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
- AI Training
- Cloud Platforms (AWS/GCP/Azure)
- Statistical Modelling
- Machine Learning
- Deep Learning
- Data Preprocessing
- Upskilling Programs
- Natural Language Processing
- M.Tech (AI/ML)
- 12+ years of relevant experience
**Good to know:**
- A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
- Internal job postings are open to employees who've completed a minimum tenure in their current role. The next logical step from this position is a senior or lead-track role within the same function. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
- There is a defined internal mobility path for people who want to specialise deeper or move into people management. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
- 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. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
- References may be requested closer to the offer stage rather than at the start of the process. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
- In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The package is structured with a fixed component, performance bonus, and standard health coverage. Compensation includes standard statutory benefits along with performance-linked variable pay.
- Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Interested candidates should be prepared to walk through relevant past work during the interview process. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
- High performers in this role typically move into a broader ownership scope within 18-24 months. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.