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AI/ML Engineer

Frontier Internet

$90,000 - $150,000
Oct 30, 2025
Tampa, FL, United States of America
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Transform customer interactions into actionable business intelligence using cutting-edge machine learning and natural language processing (NLP) at Frontier Communications

Requirements

  • Strong programming skills in Python and experience with relevant ML/NLP libraries (e.g., scikit-learn, spaCy, NLTK, Hugging Face Transformers, PyTorch/TensorFlow).
  • Hands-on experience with AWS (S3, Lambda, Transcribe, SageMaker).
  • Demonstrated experience with big data technologies and distributed computing, specifically using Databricks.
  • Solid understanding of the end-to-end machine learning lifecycle, from data ingestion and feature engineering to model deployment and monitoring.
  • Experience with MLOps frameworks like MLflow or Kubeflow.
  • Experience processing audio data and working with speech-to-text APIs.
  • Experience building data visualizations or dashboards for business users.

Responsibilities

  • Design and implement scalable data pipelines on AWS to ingest, process, and transcribe audio call recordings using services like Amazon Transcribe, Lambda, and S3.
  • Structure and manage large-scale datasets within Databricks, leveraging Delta Lake for reliability, performance, and data quality.
  • Develop, train, and deploy production-grade machine learning models for core NLP tasks such as sentiment analysis, topic modeling, automated call summarization, and speaker diarization.
  • Establish and manage a robust MLOps framework using tools like MLflow for experiment tracking, model versioning, automated retraining, and CI/CD for machine learning.
  • Collaborate with business stakeholders to create interactive dashboards and reports using Databricks SQL or connected BI tools like PowerBI to visualize call analytics, KPIs, and trends.
  • Continuously research and implement state-of-the-art techniques to improve model accuracy, pipeline efficiency, and the depth of insights generated.

Other

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field.
  • 20 PTO (Paid Time Off) days + 10 paid holidays per year
  • Day one medical, dental, vision and prescription drug plan
  • 401k match of 50% on 6% of eligible compensation
  • We are not sponsoring any Visas.