Job Description
Artificial Intelligence (AI) is looking for an experienced Learning Analytics & AI Integration Engineer to take ownership of the AI in Education charter at a mid level. This is a role for someone who has already operated at scale and is comfortable setting direction rather than simply following one.
The successful candidate will bring approximately 5 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across AI in Education, Data Preprocessing, Statistical Modelling, TensorFlow/PyTorch, Python. Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.
Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Kochi on a full-time arrangement. Compensation is benchmarked at INR 16.8-33.9 LPA, reflecting the seniority and scope of the position.
Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within ai in education.
References may be requested closer to the offer stage rather than at the start of the process. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Interested candidates should be prepared to walk through relevant past work during the interview process.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. The organisation has historically promoted from within for a majority of its senior and lead openings. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
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.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Internal job postings are open to employees who've completed a minimum tenure in their current role. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
The next logical step from this position is a senior or lead-track role within the same function. Compensation includes standard statutory benefits along with performance-linked variable pay.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
The successful candidate will bring approximately 5 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across AI in Education, Data Preprocessing, Statistical Modelling, TensorFlow/PyTorch, Python. Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.
Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Kochi on a full-time arrangement. Compensation is benchmarked at INR 16.8-33.9 LPA, reflecting the seniority and scope of the position.
Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within ai in education.
References may be requested closer to the offer stage rather than at the start of the process. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Interested candidates should be prepared to walk through relevant past work during the interview process.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. The organisation has historically promoted from within for a majority of its senior and lead openings. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
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.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Internal job postings are open to employees who've completed a minimum tenure in their current role. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
The next logical step from this position is a senior or lead-track role within the same function. Compensation includes standard statutory benefits along with performance-linked variable pay.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.