Job Description
Position: Head of AI Skill Development Programs
Function: AI Training & Upskilling Programs
Industry: Artificial Intelligence (AI)
Grade: senior level
Location: Hyderabad
Employment Type: Leadership - Full-time
Compensation: INR 23.1-50.0 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with ai training & upskilling programs, in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: M.Tech (AI/ML)
Minimum Experience: 11 years
Core Competencies Required: Deep Learning, AI Training, Machine Learning, Python, Natural Language Processing, Upskilling Programs
Further Information:
Most days include at least one review checkpoint where progress is discussed against the plan for the week. High performers in this role typically move into a broader ownership scope within 18-24 months. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Compensation includes standard statutory benefits along with performance-linked variable pay. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Internal job postings are open to employees who've completed a minimum tenure in their current role. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. 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. The package is structured with a fixed component, performance bonus, and standard health coverage. The next logical step from this position is a senior or lead-track role within the same function. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. The organisation has historically promoted from within for a majority of its senior and lead openings.
Function: AI Training & Upskilling Programs
Industry: Artificial Intelligence (AI)
Grade: senior level
Location: Hyderabad
Employment Type: Leadership - Full-time
Compensation: INR 23.1-50.0 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with ai training & upskilling programs, in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: M.Tech (AI/ML)
Minimum Experience: 11 years
Core Competencies Required: Deep Learning, AI Training, Machine Learning, Python, Natural Language Processing, Upskilling Programs
Further Information:
Most days include at least one review checkpoint where progress is discussed against the plan for the week. High performers in this role typically move into a broader ownership scope within 18-24 months. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Compensation includes standard statutory benefits along with performance-linked variable pay. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Internal job postings are open to employees who've completed a minimum tenure in their current role. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. 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. The package is structured with a fixed component, performance bonus, and standard health coverage. The next logical step from this position is a senior or lead-track role within the same function. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. The organisation has historically promoted from within for a majority of its senior and lead openings.