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Full Stack Academy

We aim to transform fresh graduates into software professionals while also helping professionals upgrade their skills.

Instructor, AI/Machine Learning - NLP & Audio Analytics

Machine Learning EngineerMachine Learning EngineerOtherRemoteTeam 11-50Since 2012H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

93 days ago

Salary

0

No structured requirement data.

Job Description

Instructor, AI/Machine Learning - NLP & Audio Analytics

Full Stack Academy

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are hiring experienced NLP & Audio Analytics Trainers to deliver live online training sessions with hands-on labs and real-world projects for working professionals. - Conduct live, instructor-led online classes - Deliver coding demos, assisted practices, and projects - Address learner queries and ensure engagement Qualifications - 10+ years of hands-on experience in NLP and/or Audio Analytics - Strong Python and ML/DL skills - Prior online/classroom training experience Requirements - Natural Language Processing - NLP fundamentals, tools, and libraries (NLTK) - Text preprocessing, feature engineering, and visualization - Text vectorization: One-Hot, BoW, TF-IDF - Sentiment analysis using Naive Bayes - Word embeddings: Word2Vec, GloVe - Machine Translation and document search (TF-IDF, BM25) - Sequence models (RNNs) and challenges - Attention models, Transformers, BERT, GPT - Audio Analytics & Speech - Audio processing using Python (Librosa, PyDub) - Audio visualization and feature extraction - Digital Signal Processing and MFCCs - Deep Learning for speech recognition - Transfer learning for speech models - Audio synthesis and music generation using GANs Compensation The expected compensation for this role for candidates from the United States is $50 - $55 per hour for candidates who fulfill the qualifications for the role. Candidates whose qualifications are above those listed are encouraged to apply as well. All final offers to candidates will be based on that candidate's unique experience and skillset, and not all candidates will qualify for the top of the salary range.

Job Requirements

  • 10+ years of hands-on experience in NLP and/or Audio Analytics
  • Strong Python and ML/DL skills
  • Prior online/classroom training experience
  • Natural Language Processing
  • NLP fundamentals, tools, and libraries (NLTK)
  • Text preprocessing, feature engineering, and visualization
  • Text vectorization: One-Hot, BoW, TF-IDF
  • Sentiment analysis using Naive Bayes
  • Word embeddings: Word2Vec, GloVe
  • Machine Translation and document search (TF-IDF, BM25)
  • Sequence models (RNNs) and challenges
  • Attention models, Transformers, BERT, GPT
  • Audio Analytics & Speech
  • Audio processing using Python (Librosa, PyDub)
  • Audio visualization and feature extraction
  • Digital Signal Processing and MFCCs
  • Deep Learning for speech recognition
  • Transfer learning for speech models
  • Audio synthesis and music generation using GANs
  • Compensation
  • The expected compensation for this role for candidates from the United States is $50 - $55 per hour for candidates who fulfill the qualifications for the role. Candidates whose qualifications are above those listed are encouraged to apply as well. All final offers to candidates will be based on that candidate's unique experience and skillset, and not all candidates will qualify for the top of the salary range.

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