Job Description
We are looking to onboard a Junior NLP Engineer to strengthen our AI Research & Development function within Artificial Intelligence (AI). This is a junior level opening based out of Bengaluru, offered on a contract basis.
The ideal candidate holds M.Tech (AI/ML) and brings roughly 0 years of hands-on exposure to ai research & development. Day-to-day, the work draws heavily on Natural Language Processing, Development, AI Research, Model Deployment (MLOps), and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 9.6-15.1 LPA, in line with market standards for junior level roles within artificial intelligence (ai).
Most days include at least one review checkpoint where progress is discussed against the plan for the week. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
Compensation includes standard statutory benefits along with performance-linked variable pay. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. The organisation has historically promoted from within for a majority of its senior and lead openings.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. References may be requested closer to the offer stage rather than at the start of the process.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
This role offers a genuine opportunity to build depth in AI Research & Development while working alongside an experienced team.
The ideal candidate holds M.Tech (AI/ML) and brings roughly 0 years of hands-on exposure to ai research & development. Day-to-day, the work draws heavily on Natural Language Processing, Development, AI Research, Model Deployment (MLOps), and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 9.6-15.1 LPA, in line with market standards for junior level roles within artificial intelligence (ai).
Most days include at least one review checkpoint where progress is discussed against the plan for the week. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
Compensation includes standard statutory benefits along with performance-linked variable pay. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. The organisation has historically promoted from within for a majority of its senior and lead openings.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. References may be requested closer to the offer stage rather than at the start of the process.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
This role offers a genuine opportunity to build depth in AI Research & Development while working alongside an experienced team.