Job Description
Position: AI Innovation Engineer
Function: AI Research & Development
Industry: Artificial Intelligence (AI)
Grade: mid level
Location: Hybrid - Pune
Employment Type: Hybrid
Compensation: INR 17.2-48.0 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with ai research & development, in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: B.Tech (CS/AI)
Minimum Experience: 7 years
Core Competencies Required: AI Research, Deep Learning, Natural Language Processing, Python, Machine Learning, Development
Further Information:
The organisation has historically promoted from within for a majority of its senior and lead openings. Interested candidates should be prepared to walk through relevant past work during the interview process. Most days include at least one review checkpoint where progress is discussed against the plan for the week. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Internal job postings are open to employees who've completed a minimum tenure in their current role. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Learning and certification support is available for tools and frameworks directly relevant to the role. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. 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. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
Function: AI Research & Development
Industry: Artificial Intelligence (AI)
Grade: mid level
Location: Hybrid - Pune
Employment Type: Hybrid
Compensation: INR 17.2-48.0 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with ai research & development, in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: B.Tech (CS/AI)
Minimum Experience: 7 years
Core Competencies Required: AI Research, Deep Learning, Natural Language Processing, Python, Machine Learning, Development
Further Information:
The organisation has historically promoted from within for a majority of its senior and lead openings. Interested candidates should be prepared to walk through relevant past work during the interview process. Most days include at least one review checkpoint where progress is discussed against the plan for the week. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Internal job postings are open to employees who've completed a minimum tenure in their current role. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Learning and certification support is available for tools and frameworks directly relevant to the role. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. 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. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.