Job Description
The organisation is seeking a qualified AI Neural Modeling Specialist to support ongoing initiatives in Deep Learning. This is a mid level opening based out of Kochi, offered on a full-time basis.
The ideal candidate holds M.Tech (Machine Learning) and brings roughly 6 years of hands-on exposure to deep learning. Day-to-day, the work draws heavily on Python, TensorFlow/PyTorch, Deep Learning, Machine Learning Algorithms, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 20.5-35.6 LPA, in line with market standards for mid level roles within machine learning.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The organisation has historically promoted from within for a majority of its senior and lead openings.
Internal job postings are open to employees who've completed a minimum tenure in their current role. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
References may be requested closer to the offer stage rather than at the start of the process. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Interested candidates should be prepared to walk through relevant past work during the interview process.
Compensation includes standard statutory benefits along with performance-linked variable pay. 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.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
Learning and certification support is available for tools and frameworks directly relevant to the role. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
We value consistency and follow-through more than flashy credentials - if that matches how you work, apply in.
The ideal candidate holds M.Tech (Machine Learning) and brings roughly 6 years of hands-on exposure to deep learning. Day-to-day, the work draws heavily on Python, TensorFlow/PyTorch, Deep Learning, Machine Learning Algorithms, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 20.5-35.6 LPA, in line with market standards for mid level roles within machine learning.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The organisation has historically promoted from within for a majority of its senior and lead openings.
Internal job postings are open to employees who've completed a minimum tenure in their current role. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
References may be requested closer to the offer stage rather than at the start of the process. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Interested candidates should be prepared to walk through relevant past work during the interview process.
Compensation includes standard statutory benefits along with performance-linked variable pay. 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.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
Learning and certification support is available for tools and frameworks directly relevant to the role. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
We value consistency and follow-through more than flashy credentials - if that matches how you work, apply in.