Job Description
Position: Principal AI Engineer – Deep Learning
Function: Deep Learning
Industry: Artificial Intelligence (AI)
Grade: senior level
Location: Coimbatore
Employment Type: Leadership - Full-time
Compensation: INR 53.0-77.7 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with deep learning, in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: M.Sc (Data Science)
Minimum Experience: 11 years
Core Competencies Required: Model Deployment (MLOps), Statistical Modelling, Natural Language Processing, TensorFlow/PyTorch, Cloud Platforms (AWS/GCP/Azure), Python, Machine Learning, Deep Learning
Further Information:
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Compensation includes standard statutory benefits along with performance-linked variable pay. 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. The package is structured with a fixed component, performance bonus, and standard health coverage. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Learning and certification support is available for tools and frameworks directly relevant to the role. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. 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. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. References may be requested closer to the offer stage rather than at the start of the process. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. 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. The next logical step from this position is a senior or lead-track role within the same function. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Most days include at least one review checkpoint where progress is discussed against the plan for the week. The organisation has historically promoted from within for a majority of its senior and lead openings. There is a defined internal mobility path for people who want to specialise deeper or move into people management. High performers in this role typically move into a broader ownership scope within 18-24 months. Interested candidates should be prepared to walk through relevant past work during the interview process. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. 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. Learning and certification support is available for tools and frameworks directly relevant to the role.
Function: Deep Learning
Industry: Artificial Intelligence (AI)
Grade: senior level
Location: Coimbatore
Employment Type: Leadership - Full-time
Compensation: INR 53.0-77.7 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with deep learning, in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: M.Sc (Data Science)
Minimum Experience: 11 years
Core Competencies Required: Model Deployment (MLOps), Statistical Modelling, Natural Language Processing, TensorFlow/PyTorch, Cloud Platforms (AWS/GCP/Azure), Python, Machine Learning, Deep Learning
Further Information:
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Compensation includes standard statutory benefits along with performance-linked variable pay. 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. The package is structured with a fixed component, performance bonus, and standard health coverage. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Learning and certification support is available for tools and frameworks directly relevant to the role. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. 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. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. References may be requested closer to the offer stage rather than at the start of the process. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. 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. The next logical step from this position is a senior or lead-track role within the same function. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Most days include at least one review checkpoint where progress is discussed against the plan for the week. The organisation has historically promoted from within for a majority of its senior and lead openings. There is a defined internal mobility path for people who want to specialise deeper or move into people management. High performers in this role typically move into a broader ownership scope within 18-24 months. Interested candidates should be prepared to walk through relevant past work during the interview process. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. 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. Learning and certification support is available for tools and frameworks directly relevant to the role.