Job Description
We are looking to onboard an AI Product Implementation Assistant to strengthen our AI Product Management function within Machine Learning. This is a junior level opening based out of Pune, offered on a internship basis.
The ideal candidate holds B.Tech (CS/AI) and brings roughly 1 years of hands-on exposure to ai product management. Day-to-day, the work draws heavily on Computer Vision/NLP Basics, Feature Engineering, AI Product Management, Data Preprocessing, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 2.1-15.2 LPA, in line with market standards for junior level roles within machine learning.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The next logical step from this position is a senior or lead-track role within the same function.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
References may be requested closer to the offer stage rather than at the start of the process. 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. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Learning and certification support is available for tools and frameworks directly relevant to the role.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Internal job postings are open to employees who've completed a minimum tenure in their current role.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
If your background aligns with the above and you're looking for your next step in AI Product Management, we'd like to hear from you.
The ideal candidate holds B.Tech (CS/AI) and brings roughly 1 years of hands-on exposure to ai product management. Day-to-day, the work draws heavily on Computer Vision/NLP Basics, Feature Engineering, AI Product Management, Data Preprocessing, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 2.1-15.2 LPA, in line with market standards for junior level roles within machine learning.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The next logical step from this position is a senior or lead-track role within the same function.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
References may be requested closer to the offer stage rather than at the start of the process. 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. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Learning and certification support is available for tools and frameworks directly relevant to the role.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Internal job postings are open to employees who've completed a minimum tenure in their current role.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
If your background aligns with the above and you're looking for your next step in AI Product Management, we'd like to hear from you.