Job Description
Artificial Intelligence (AI) is looking for an experienced Deep Learning Engineer – Junior to take ownership of the AI Research & Development charter at a junior 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 1 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across Development, Computer Vision, Python, Statistical Modelling, Model Deployment (MLOps). 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 6.7-18.7 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 research & development.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
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.
Learning and certification support is available for tools and frameworks directly relevant to the role. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
The organisation has historically promoted from within for a majority of its senior and lead openings. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. 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.
References may be requested closer to the offer stage rather than at the start of the process. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. Compensation includes standard statutory benefits along with performance-linked variable pay.
The successful candidate will bring approximately 1 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across Development, Computer Vision, Python, Statistical Modelling, Model Deployment (MLOps). 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 6.7-18.7 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 research & development.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
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.
Learning and certification support is available for tools and frameworks directly relevant to the role. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
The organisation has historically promoted from within for a majority of its senior and lead openings. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. 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.
References may be requested closer to the offer stage rather than at the start of the process. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. Compensation includes standard statutory benefits along with performance-linked variable pay.