Job Description
Position: Global Generative AI Consultant
Function: Generative AI
Industry: Machine Learning
Grade: senior level
Location: Gurugram
Employment Type: Full-time
Compensation: INR 11.6-54.9 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.Sc (Data Science)
Minimum Experience: 11 years
Core Competencies Required: Python, Deep Learning, Generative AI, Cloud Platforms (AWS/GCP), Statistical Modelling, MLOps, TensorFlow/PyTorch
Further Information:
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. High performers in this role typically move into a broader ownership scope within 18-24 months. 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. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Learning and certification support is available for tools and frameworks directly relevant to the role. Interested candidates should be prepared to walk through relevant past work during the interview process. 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. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Compensation includes standard statutory benefits along with performance-linked variable pay. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Internal job postings are open to employees who've completed a minimum tenure in their current role. 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. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. 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. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The next logical step from this position is a senior or lead-track role within the same function. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
Function: Generative AI
Industry: Machine Learning
Grade: senior level
Location: Gurugram
Employment Type: Full-time
Compensation: INR 11.6-54.9 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.Sc (Data Science)
Minimum Experience: 11 years
Core Competencies Required: Python, Deep Learning, Generative AI, Cloud Platforms (AWS/GCP), Statistical Modelling, MLOps, TensorFlow/PyTorch
Further Information:
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. High performers in this role typically move into a broader ownership scope within 18-24 months. 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. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Learning and certification support is available for tools and frameworks directly relevant to the role. Interested candidates should be prepared to walk through relevant past work during the interview process. 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. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Compensation includes standard statutory benefits along with performance-linked variable pay. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Internal job postings are open to employees who've completed a minimum tenure in their current role. 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. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. 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. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The next logical step from this position is a senior or lead-track role within the same function. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.