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Text and Speech Analyst


Job Location:

Tampa, FL - USA

Monthly Salary: Not provided by the employer
Posted: 23 June 2026 (30+ days ago)
Application Deadline: 20 September 2026
Vacancies: 1 Vacancy

Job Summary

Please Note: As of July 22 2021 our team will require that all candidate submissions include a LinkedIn profile. Please do not submit any candidates that do not have a LinkedIn.

URGENT REQUIREMENT

Looking for candidates regarding the following:

POSITION

Text & Speech Analyst
INDUSTRY

LOCATION

REMOTE

Please Target Candidates in the following States :

Alabama Arizona Arkansas Colorado Connecticut Delaware Florida Georgia Idaho Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Mexico North Carolina North Dakota Ohio Oklahoma Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia West Virginia Wisconsin Wyoming

DURATION

6 month

INTERVIEW TYPE

Video

VISA TYPE

NO SPONSORSHIP AVAILABLE

REQUIRED SKILLS

Must-Haves:
  • Strong experience with ASR / speech recognition (Wav2Vec DeepSpeech) classical speech processing (HMM GMM ANN language modeling)
  • Advanced programming in Python (required) experience with AI/ML frameworks (TensorFlow PyTorch Keras)
  • Hands-on deep learning for speech/NLP (CNNs CTC Transformer models like BERT/GPT)
  • Cloud experience deploying AI solutions (Azure preferred; AWS/GCP acceptable)
  • Solid NLP data management experience (data preprocessing augmentation synthetic data labeling)
Preferred:
  • Experience with Azure AI Services Azure ML or Databricks/Snowflake (AI capabilities)
  • Exposure to open-source speech models (Kaldi Whisper)
  • MLOps experience (model deployment monitoring lifecycle management)
  • Knowledge of data governance security and compliance practices
  • Familiarity with data visualization/reporting tools (Power BI Webfocus)

Required Skills : * Working knowledge of ASR engines using frameworks like Wav2vec or Deep Speech * Working knowledge of Azure AI Services * Advanced programming knowledge including mastery of programming languages such as Python C Java and especially AI-centric libraries like TensorFlow PyTorch and Keras * Cloud computing and knowledge for deploying and managing AI applications on cloud platforms like AWS Google Cloud or Microsoft Azure * Expertise in classical speech processing methodologies like hidden Markov models (HMMs) Gaussian mixture models (GMMs) Artificial neural networks (ANNs) Language modeling etc. * Functional knowledge of Snowflake and/or Databricks for AI capabilities and data management * Hands on experience on current deep learning (DL) techniques like Convolutional neural networks (CNNs) connectionist temporal classification (CTC) used for speech processing * Exposure to open-source models such as Kaldi or OpenAI Whisper * Data management knowledge including data pre-processing augmentation and generation of synthetic data including the cleaning labeling and augmenting of data to train and improve AI models * Proficiency in Transformer Models like BERT-base. ELMo ULM-FIT * Experience with AI tools such as MS Azure ML Databricks AI Snowflake CortexAI Dataiku

Basic Qualification :

Additional Skills :

Background Check : No

Drug Screen : No


Rank :A3
Requested Date :