Job Description
Position: Deep Learning Model Developer
Function: Deep Learning
Industry: Artificial Intelligence (AI)
Grade: mid level
Location: Bengaluru
Employment Type: Full-time (WFH)
Compensation: INR 21.3-54.1 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.Tech (AI/ML)
Minimum Experience: 7 years
Core Competencies Required: Deep Learning, Python, Neural Network Architectures, Natural Language Processing, Machine Learning
Further Information:
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. References may be requested closer to the offer stage rather than at the start of the process. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The organisation has historically promoted from within for a majority of its senior and lead openings. 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. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The package is structured with a fixed component, performance bonus, and standard health coverage. High performers in this role typically move into a broader ownership scope within 18-24 months. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Learning and certification support is available for tools and frameworks directly relevant to the role. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Function: Deep Learning
Industry: Artificial Intelligence (AI)
Grade: mid level
Location: Bengaluru
Employment Type: Full-time (WFH)
Compensation: INR 21.3-54.1 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.Tech (AI/ML)
Minimum Experience: 7 years
Core Competencies Required: Deep Learning, Python, Neural Network Architectures, Natural Language Processing, Machine Learning
Further Information:
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. References may be requested closer to the offer stage rather than at the start of the process. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The organisation has historically promoted from within for a majority of its senior and lead openings. 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. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The package is structured with a fixed component, performance bonus, and standard health coverage. High performers in this role typically move into a broader ownership scope within 18-24 months. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Learning and certification support is available for tools and frameworks directly relevant to the role. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Most days include at least one review checkpoint where progress is discussed against the plan for the week.