Job Description
Join us as a Head of AI Strategy & Consulting and help us push AI Strategy & Consulting forward within Artificial Intelligence (AI).
You'll be working out of Ahmedabad (hybrid), and honestly, the day-to-day is going to revolve around Natural Language Processing and Model Deployment (MLOps). We're not looking for someone who just ticks boxes - we want someone who actually cares about ai strategy & consulting.
On paper, we'd expect M.Sc (Data Science) and somewhere around 10 years of experience, but we're just as interested in how you think as in what's on your resume.
Pay-wise, we're offering INR 43.2-101.0 LPA - fair for the senior level band and open to discussion based on what you bring.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. Interested candidates should be prepared to walk through relevant past work during the interview process.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. The organisation has historically promoted from within for a majority of its senior and lead openings.
Learning and certification support is available for tools and frameworks directly relevant to the role. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
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. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
Internal job postings are open to employees who've completed a minimum tenure in their current role. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
You'll be working out of Ahmedabad (hybrid), and honestly, the day-to-day is going to revolve around Natural Language Processing and Model Deployment (MLOps). We're not looking for someone who just ticks boxes - we want someone who actually cares about ai strategy & consulting.
On paper, we'd expect M.Sc (Data Science) and somewhere around 10 years of experience, but we're just as interested in how you think as in what's on your resume.
Pay-wise, we're offering INR 43.2-101.0 LPA - fair for the senior level band and open to discussion based on what you bring.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. Interested candidates should be prepared to walk through relevant past work during the interview process.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. The organisation has historically promoted from within for a majority of its senior and lead openings.
Learning and certification support is available for tools and frameworks directly relevant to the role. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
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. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
Internal job postings are open to employees who've completed a minimum tenure in their current role. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.