Job Description
Position: Director of Generative AI Solutions
Function: Generative AI
Industry: Machine Learning
Grade: senior level
Location: Hybrid - Pune
Employment Type: Full-time
Compensation: INR 35.9-100.9 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: M.Tech (Machine Learning)
Minimum Experience: 10 years
Core Competencies Required: Feature Engineering, Statistical Modelling, Deep Learning, TensorFlow/PyTorch, Generative AI, Python
Further Information:
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Most days include at least one review checkpoint where progress is discussed against the plan for the week. References may be requested closer to the offer stage rather than at the start of the process. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Relocation assistance may be extended for candidates moving from a different city, subject to approval. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Interested candidates should be prepared to walk through relevant past work during the interview process. Compensation includes standard statutory benefits along with performance-linked variable pay. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Learning and certification support is available for tools and frameworks directly relevant to the role. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The organisation has historically promoted from within for a majority of its senior and lead openings.
Function: Generative AI
Industry: Machine Learning
Grade: senior level
Location: Hybrid - Pune
Employment Type: Full-time
Compensation: INR 35.9-100.9 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: M.Tech (Machine Learning)
Minimum Experience: 10 years
Core Competencies Required: Feature Engineering, Statistical Modelling, Deep Learning, TensorFlow/PyTorch, Generative AI, Python
Further Information:
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Most days include at least one review checkpoint where progress is discussed against the plan for the week. References may be requested closer to the offer stage rather than at the start of the process. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Relocation assistance may be extended for candidates moving from a different city, subject to approval. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Interested candidates should be prepared to walk through relevant past work during the interview process. Compensation includes standard statutory benefits along with performance-linked variable pay. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Learning and certification support is available for tools and frameworks directly relevant to the role. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The organisation has historically promoted from within for a majority of its senior and lead openings.