Job Description
Robotics AI Engineer | Nagpur | INR 8.1-23.3 LPA
AI Research & Development role, mid level, full-time.
Need: B.Tech (CS/AI), 6+ yrs.
Core skills: Neural Network Architectures, TensorFlow/PyTorch, Development, AI Research, Statistical Modelling.
If this fits your profile in ai research & development, apply now.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
The organisation has historically promoted from within for a majority of its senior and lead openings. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
Interested candidates should be prepared to walk through relevant past work during the interview process. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. 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. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
High performers in this role typically move into a broader ownership scope within 18-24 months. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
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.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
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.
AI Research & Development role, mid level, full-time.
Need: B.Tech (CS/AI), 6+ yrs.
Core skills: Neural Network Architectures, TensorFlow/PyTorch, Development, AI Research, Statistical Modelling.
If this fits your profile in ai research & development, apply now.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
The organisation has historically promoted from within for a majority of its senior and lead openings. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
Interested candidates should be prepared to walk through relevant past work during the interview process. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. 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. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
High performers in this role typically move into a broader ownership scope within 18-24 months. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
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.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
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.