Artificial Intelligence & Machine Learning

Cognitive Computing Research Assistant

  • Nagpur
  • ₹670,000 - ₹1,530,000
  • Contract

Job Description

Academic Research is looking for an experienced Cognitive Computing Research Assistant to take ownership of the Artificial Intelligence & Machine Learning charter at a junior level. This is a role for someone who has already operated at scale and is comfortable setting direction rather than simply following one.

The successful candidate will bring approximately 2 years of progressively senior experience, holding B.Sc, with a demonstrated track record across Critical Thinking, Qualitative Analysis, Artificial Intelligence, Machine Learning, Grant Proposal Writing. Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.

Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Nagpur on a contract arrangement. Compensation is benchmarked at INR 6.7-15.3 LPA, reflecting the seniority and scope of the position.

Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within artificial intelligence & machine learning.

The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.

Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.

The next logical step from this position is a senior or lead-track role within the same function. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.

The organisation has historically promoted from within for a majority of its senior and lead openings. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.

The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Internal job postings are open to employees who've completed a minimum tenure in their current role.

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