Job Description
## Postdoctoral Fellow – AI & ML
**Department:** Artificial Intelligence & Machine Learning | **Industry:** Academic Research
**Location:** Lucknow | **Job Type:** Full-time | **CTC:** INR 2.1-16.5 LPA
### Role Overview
We are looking to onboard a Postdoctoral Fellow – AI & ML to strengthen our Artificial Intelligence & Machine Learning function within Academic Research. The role is positioned at the mid level and reports into the broader Artificial Intelligence & Machine Learning charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to artificial intelligence & machine learning.
- Apply working knowledge of Artificial Intelligence and Critical Thinking to daily execution.
- Coordinate with cross-functional stakeholders within Academic Research.
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- M.Phil or equivalent qualification.
- 6 years of relevant experience (mid level).
- Working proficiency in: Artificial Intelligence, Critical Thinking, Presentation Skills, Qualitative Analysis, Machine Learning, Statistical Software (SPSS/R).
### Additional Notes
Interested candidates should be prepared to walk through relevant past work during the interview process. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. High performers in this role typically move into a broader ownership scope within 18-24 months. 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. The next logical step from this position is a senior or lead-track role within the same function. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. 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.
**Department:** Artificial Intelligence & Machine Learning | **Industry:** Academic Research
**Location:** Lucknow | **Job Type:** Full-time | **CTC:** INR 2.1-16.5 LPA
### Role Overview
We are looking to onboard a Postdoctoral Fellow – AI & ML to strengthen our Artificial Intelligence & Machine Learning function within Academic Research. The role is positioned at the mid level and reports into the broader Artificial Intelligence & Machine Learning charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to artificial intelligence & machine learning.
- Apply working knowledge of Artificial Intelligence and Critical Thinking to daily execution.
- Coordinate with cross-functional stakeholders within Academic Research.
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- M.Phil or equivalent qualification.
- 6 years of relevant experience (mid level).
- Working proficiency in: Artificial Intelligence, Critical Thinking, Presentation Skills, Qualitative Analysis, Machine Learning, Statistical Software (SPSS/R).
### Additional Notes
Interested candidates should be prepared to walk through relevant past work during the interview process. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. High performers in this role typically move into a broader ownership scope within 18-24 months. 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. The next logical step from this position is a senior or lead-track role within the same function. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. 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.