Job Description
Position: Generative AI Engineering Director
Function: Generative AI
Industry: Machine Learning
Grade: senior level
Location: Delhi NCR
Employment Type: Hybrid
Compensation: INR 8.9-35.6 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with generative ai, in accordance with the standards and processes laid down by Machine Learning.
Minimum Qualification: Ph.D (ML/AI)
Minimum Experience: 16 years
Core Competencies Required: Computer Vision/NLP Basics, Generative AI, Python, Cloud Platforms (AWS/GCP), Feature Engineering, MLOps, Machine Learning Algorithms
Further Information:
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. 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. 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. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. 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. The package is structured with a fixed component, performance bonus, and standard health coverage. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. 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. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Learning and certification support is available for tools and frameworks directly relevant to the role. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. References may be requested closer to the offer stage rather than at the start of the process. There is a defined internal mobility path for people who want to specialise deeper or move into people management. The next logical step from this position is a senior or lead-track role within the same function. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
Function: Generative AI
Industry: Machine Learning
Grade: senior level
Location: Delhi NCR
Employment Type: Hybrid
Compensation: INR 8.9-35.6 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with generative ai, in accordance with the standards and processes laid down by Machine Learning.
Minimum Qualification: Ph.D (ML/AI)
Minimum Experience: 16 years
Core Competencies Required: Computer Vision/NLP Basics, Generative AI, Python, Cloud Platforms (AWS/GCP), Feature Engineering, MLOps, Machine Learning Algorithms
Further Information:
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. 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. 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. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. 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. The package is structured with a fixed component, performance bonus, and standard health coverage. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. 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. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Learning and certification support is available for tools and frameworks directly relevant to the role. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. References may be requested closer to the offer stage rather than at the start of the process. There is a defined internal mobility path for people who want to specialise deeper or move into people management. The next logical step from this position is a senior or lead-track role within the same function. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.