Job Description
Position: Deep Learning Engineer – Trainee
Function: Deep Learning
Industry: Artificial Intelligence (AI)
Grade: junior level
Location: Lucknow
Employment Type: Full-time
Compensation: INR 11.7-25.7 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.Tech (AI/ML)
Minimum Experience: 1 years
Core Competencies Required: Neural Network Architectures, Python, Computer Vision, Deep Learning, Statistical Modelling, Natural Language Processing
Further Information:
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. 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. Interested candidates should be prepared to walk through relevant past work during the interview process. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The package is structured with a fixed component, performance bonus, and standard health coverage. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. 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.
Function: Deep Learning
Industry: Artificial Intelligence (AI)
Grade: junior level
Location: Lucknow
Employment Type: Full-time
Compensation: INR 11.7-25.7 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.Tech (AI/ML)
Minimum Experience: 1 years
Core Competencies Required: Neural Network Architectures, Python, Computer Vision, Deep Learning, Statistical Modelling, Natural Language Processing
Further Information:
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. 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. Interested candidates should be prepared to walk through relevant past work during the interview process. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The package is structured with a fixed component, performance bonus, and standard health coverage. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. 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.