Train and evaluate NLP models
Train and evaluate models, own data pipelines, and deploy inference APIs for an NLP product.
Train and evaluate NLP models
Own data pipelines and inference APIs
Partner with product on evaluation metrics
Education: B.Tech / M.Tech in CS or related
Aether AI builds NLP products for customer support automation.
Walk through the stack this job lists, then send your resume. Mentors can also run a mock round if you are enrolled.
Python ships with numeric types (int, float, complex), sequences (str, list, tuple, range), mappings (dict), sets (set, frozenset), booleans, bytes/bytearray, and None.
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Supervised learning trains a model on labeled examples where each input already has a known target.
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A list is a mutable ordered sequence, so you can append, pop, and assign by index.
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Unsupervised learning looks for structure in data that has no labels.
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A dict maps hashable keys to values and gives average O(1) lookup.
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Reinforcement learning trains an agent to choose actions in an environment so that cumulative reward is maximized.
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