NLP and Speech Recognition Engineer

5 - 10 years

9 - 12 Lacs

Posted:None| Platform: Naukri logo

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Job Type

Full Time

Job Description

 
  • develop NLP and speech recognition solutions, integrating advanced GenAI technologies like BERT, transformer models, and GPT, Llama etc
  • implement speech-to-text applications, text minning and automate document processing
  • collaborate with data scientists to ensure seamless integration of NLP technologies into our systems.

Candidate Expectations:

  • experience in NLP GenAI models, specifically with transformer models such as BERT, GPT, Llama etc and moving models in production or integration with the available application
  • proficiency in Python and NLP libraries (NLTK, SpaCy), GenAI LLM, OCR techniques
  • familiarity with speech recognition technologies and machine learning applications for language processing
  • 5 years of experience in a similar position

Technical Skills:


  • deep understanding of NLP and speech recognition technologies, including modern approaches like transformers
  • ability to develop and optimize algorithms for processing large-scale language and audio data, OCR techniques
  • topic Modeling with ML Techniques: LDA, BigARTM, HDBSCAN, BERTopic and Coherence score
  • vector databases for Retrieval-Augmented Generation (RAG) for long-term memory in Large Language Models (LLMs)
  • ELK Stack for text mining.

Language Proficiency:

  • proficient in English, both written and spoken, is essential for this role
  • knowledge of Russian is a plus and will be favorably considered.

We Offer:

  • new modern office at NCPR Industrial Layout, Doddanakundi Industrial Area 2, Seetharampalya, Hoodi, Bengaluru, Karnataka 560048
  • gym for employees
  • medical insurance for employees and immediate family (wife/husband, two children)
  • competitive salary and opportunities for professional development
  • quarterly bonus paid each quarter for work performed
  • professional and thematic communities, support for employee initiatives
  • financial support for relocation
  • courses at the Corporate University
  • the opportunity to come to the head office and complete an internship at Sberbank
  • work format: office, hybrid after the probationary period
  • work schedule: 5/2 (5 days of work, Saturday and Sunday off).

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