Job Description
Position: Vision AI Architect
Function: Computer Vision
Industry: Machine Learning
Grade: senior level
Location: Ahmedabad
Employment Type: Leadership - Full-time
Compensation: INR 13.8-50.2 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with computer vision, 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: Computer Vision, MLOps, Data Preprocessing, TensorFlow/PyTorch, Python, Deep Learning
Further Information:
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. 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. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. 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. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. 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. 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. Learning and certification support is available for tools and frameworks directly relevant to the role. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. References may be requested closer to the offer stage rather than at the start of the process. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. High performers in this role typically move into a broader ownership scope within 18-24 months. The next logical step from this position is a senior or lead-track role within the same function. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. 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 has historically promoted from within for a majority of its senior and lead openings. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
Function: Computer Vision
Industry: Machine Learning
Grade: senior level
Location: Ahmedabad
Employment Type: Leadership - Full-time
Compensation: INR 13.8-50.2 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with computer vision, 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: Computer Vision, MLOps, Data Preprocessing, TensorFlow/PyTorch, Python, Deep Learning
Further Information:
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. 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. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. 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. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. 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. 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. Learning and certification support is available for tools and frameworks directly relevant to the role. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. References may be requested closer to the offer stage rather than at the start of the process. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. High performers in this role typically move into a broader ownership scope within 18-24 months. The next logical step from this position is a senior or lead-track role within the same function. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. 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 has historically promoted from within for a majority of its senior and lead openings. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.