Job Description
The organisation is seeking a qualified AI Image Generation Engineer to support ongoing initiatives in Generative AI. This is a mid level opening based out of Hyderabad, offered on a contract basis.
The ideal candidate holds M.Tech (Machine Learning) and brings roughly 5 years of hands-on exposure to generative ai. Day-to-day, the work draws heavily on Deep Learning, Machine Learning Algorithms, MLOps, Computer Vision/NLP Basics, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 18.4-51.8 LPA, in line with market standards for mid level roles within machine learning.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. References may be requested closer to the offer stage rather than at the start of the process.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. The package is structured with a fixed component, performance bonus, and standard health coverage. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Learning and certification support is available for tools and frameworks directly relevant to the role. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
Compensation includes standard statutory benefits along with performance-linked variable pay. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
This role offers a genuine opportunity to build depth in Generative AI while working alongside an experienced team.
The ideal candidate holds M.Tech (Machine Learning) and brings roughly 5 years of hands-on exposure to generative ai. Day-to-day, the work draws heavily on Deep Learning, Machine Learning Algorithms, MLOps, Computer Vision/NLP Basics, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 18.4-51.8 LPA, in line with market standards for mid level roles within machine learning.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. References may be requested closer to the offer stage rather than at the start of the process.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. The package is structured with a fixed component, performance bonus, and standard health coverage. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Learning and certification support is available for tools and frameworks directly relevant to the role. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
Compensation includes standard statutory benefits along with performance-linked variable pay. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
This role offers a genuine opportunity to build depth in Generative AI while working alongside an experienced team.