Job Description
Position: Enterprise Deep Learning Architect
Function: Deep Learning
Industry: Machine Learning
Grade: senior level
Location: Indore
Employment Type: Hybrid
Compensation: INR 36.1-96.5 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 Machine Learning.
Minimum Qualification: M.Sc (Data Science)
Minimum Experience: 15 years
Core Competencies Required: Model Evaluation & Tuning, TensorFlow/PyTorch, Cloud Platforms (AWS/GCP), Deep Learning, Computer Vision/NLP Basics, Python, MLOps
Further Information:
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The next logical step from this position is a senior or lead-track role within the same function. 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. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. The organisation has historically promoted from within for a majority of its senior and lead openings. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The package is structured with a fixed component, performance bonus, and standard health coverage. Learning and certification support is available for tools and frameworks directly relevant to the role. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. 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. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. 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. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Most days include at least one review checkpoint where progress is discussed against the plan for the week. References may be requested closer to the offer stage rather than at the start of the process. 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. 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. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. High performers in this role typically move into a broader ownership scope within 18-24 months.
Function: Deep Learning
Industry: Machine Learning
Grade: senior level
Location: Indore
Employment Type: Hybrid
Compensation: INR 36.1-96.5 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 Machine Learning.
Minimum Qualification: M.Sc (Data Science)
Minimum Experience: 15 years
Core Competencies Required: Model Evaluation & Tuning, TensorFlow/PyTorch, Cloud Platforms (AWS/GCP), Deep Learning, Computer Vision/NLP Basics, Python, MLOps
Further Information:
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. The next logical step from this position is a senior or lead-track role within the same function. 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. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. The organisation has historically promoted from within for a majority of its senior and lead openings. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The package is structured with a fixed component, performance bonus, and standard health coverage. Learning and certification support is available for tools and frameworks directly relevant to the role. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. 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. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. 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. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Most days include at least one review checkpoint where progress is discussed against the plan for the week. References may be requested closer to the offer stage rather than at the start of the process. 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. 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. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. High performers in this role typically move into a broader ownership scope within 18-24 months.