7 - 12 years
15 - 30 Lacs
Posted:23 hours ago|
Platform:
Hybrid
Full Time
table {mso-displayed-decimal-separator:"\."; mso-displayed-thousand-separator:"\,";} tr {mso-height-source:auto;} col {mso-width-source:auto;} td {padding-top:1px; padding-right:1px; padding-left:1px; mso-ignore:padding; color:black; font-size:11.0pt; font-weight:400; font-style:normal; text-decoration:none; font-family:"Aptos Narrow", sans-serif; mso-font-charset:0; text-align:general; vertical-align:bottom; border:none; white-space:nowrap; mso-rotate:0;} .xl28 {color:black; text-align:left; vertical-align:top; border-top:.5pt solid windowtext; border-right:1.0pt solid windowtext; border-bottom:.5pt solid windowtext; border-left:1.0pt solid windowtext; background:yellow; mso-pattern:black none; white-space:normal;} • Deep experience in Natural Language Processing (NLP and NLI), tiny/small language models, and base language model retraining (both transformer and BERT-based architectures).
• Extensive experience in conversational NLP systems. • Experience in SLM adaptor fine-tuning, SFT training, and SLM pruning (base and instruct models). • Experience in retriever frameworks in Q and A bots. • Experience in contrastive learning and graph learning-based embedding methods with heterogeneous features. • Preferably experience in building NLP active learning pipelines. • Demonstrable experience in scaling your models to large-scale search systems is a plus. • Very good critical reasoning skills, and data-centric NLP/NLI systems. • Must have the temperament and hunger to work in a fast-paced environment.
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