Frontier Communications
Overview
AI/ML Engineer We are looking for a driven and innovative AI/ML Engineer to join our team and help build next-generation customer service platforms. This role is at the heart of our strategy to transform customer interactions into actionable business intelligence using cutting-edge machine learning and natural language processing (NLP). You will work with a modern data stack, leveraging AWS for scalable data ingestion and processing, and Databricks for advanced analytics and model development. If you have strong software engineering skills, cloud architecture experience, and a passion for applying AI to solve real-world challenges, we want to hear from you.
General Duties
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.
Qualifications
Proven experience as a Software Engineer, Machine Learning Engineer, or a similar role.
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.
Excellent problem-solving skills and the ability to work with complex, unstructured data.
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field.
Preferred Qualifications
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.
What we offer
Salary: $90,000 - $150,000
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
Tuition Assistance Program
Personal & Work Life Balance Resources & Wellness Support Assistance
Employee Resource Groups
Same-sex spouse and domestic partner benefits coverage
10 weeks of paid parental leave, & a phased return to work program for new parents
Up to $10k in adoption program assistance
3 weeks of paid caregiver leave
Note: We are committed to attracting talented team members in the US from all backgrounds regardless of race, age, gender, ethnicity, religion, sexual orientation, disability status, or nationality. However, at this time, we are not sponsoring any Visas.
Connecting communities is at the heart of what we do. We are committed to building a team that reflects the communities we serve. If your background and experiences are aligned with our passion to improve digital access across America, we encourage you to apply and help us achieve our mission to #BuildGigabitAmerica.
Frontier Communications is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
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AI/ML Engineer We are looking for a driven and innovative AI/ML Engineer to join our team and help build next-generation customer service platforms. This role is at the heart of our strategy to transform customer interactions into actionable business intelligence using cutting-edge machine learning and natural language processing (NLP). You will work with a modern data stack, leveraging AWS for scalable data ingestion and processing, and Databricks for advanced analytics and model development. If you have strong software engineering skills, cloud architecture experience, and a passion for applying AI to solve real-world challenges, we want to hear from you.
General Duties
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.
Qualifications
Proven experience as a Software Engineer, Machine Learning Engineer, or a similar role.
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.
Excellent problem-solving skills and the ability to work with complex, unstructured data.
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field.
Preferred Qualifications
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.
What we offer
Salary: $90,000 - $150,000
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
Tuition Assistance Program
Personal & Work Life Balance Resources & Wellness Support Assistance
Employee Resource Groups
Same-sex spouse and domestic partner benefits coverage
10 weeks of paid parental leave, & a phased return to work program for new parents
Up to $10k in adoption program assistance
3 weeks of paid caregiver leave
Note: We are committed to attracting talented team members in the US from all backgrounds regardless of race, age, gender, ethnicity, religion, sexual orientation, disability status, or nationality. However, at this time, we are not sponsoring any Visas.
Connecting communities is at the heart of what we do. We are committed to building a team that reflects the communities we serve. If your background and experiences are aligned with our passion to improve digital access across America, we encourage you to apply and help us achieve our mission to #BuildGigabitAmerica.
Frontier Communications is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
#J-18808-Ljbffr