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  • Emplois similaires à : Instructor, AI/Machine Learning - NLP & Audio Analytics, Simplilearn (Part time
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Instructor, AI/Machine Learning - NLP & Audio Analytics, Simplilearn (Part timeFullstack Academy • New York, New York, United States
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Instructor, AI/Machine Learning - NLP & Audio Analytics, Simplilearn (Part time

Fullstack Academy
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Postuler Maintenant

À propos

About: Simplilearn
Simplilearn is the world’s #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, and more — that are transforming the global economy. Our training is hands‑on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2000 corporate training organizations across 150 countries have harnessed our award‑winning programs to achieve their career and business goals.
Simplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally.
Job Summary 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.
Key Responsibilities
Conduct live, instructor‑led online classes
Deliver coding demos, assisted practices, and projects
Address learner queries and ensure engagement
Required Skills 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
Working Hours - The total weekly part‑time commitment is expected to be 8‑12 hours. Weekday - 06:30 PM CST - 09:30 PM CST Weekend - 09:00 AM CST - 12:00 PM CST
Class Timings - For Weekend sessions, 6-8 hrs of delivery - For Weekday sessions, 9-12 hrs of delivery - 1 prep hour/session for the first cohort and 0.5 prep hour per session for the future cohorts - If content revamped, prep can be at 1 hour/session for the first batch and 0.5 hour per session for the future batches ***Feedback communication/General connects Minutes/hours are not billable ***Prep hour can be billed only for the actual scheduled teaching hours(Induction sessions excluded)
Qualifications
10+ years of hands‑on experience in NLP and/or Audio Analytics
Strong Python and ML/DL skills
Prior online/classroom training experience
Compensation:
The expected compensation for this role for candidates from 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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  • New York, New York, United States

Compétences linguistiques

  • English
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