Overview
On Site
Up to $50
Contract - W2
Contract - 12 Month(s)
Skills
Advanced Analytics
Cloud Computing
Communication
Computer Science
Computer Vision
Amazon Web Services
Applied Mathematics
Artificial Intelligence
Data Engineering
Deep Learning
Docker
Generative Artificial Intelligence (AI)
Conflict Resolution
Collaboration
IP
Intellectual Property
Machine Learning Operations (ML Ops)
Customer Service
Data Structure
Good Clinical Practice
Mentorship
Google Cloud Platform
Kubernetes
Machine Learning (ML)
Marketing
Predictive Analytics
Microsoft Azure
Modeling
Natural Language Processing
Network Optimization
Publishing
PyTorch
scikit-learn
Use Cases
Python
Research
Problem Solving
Patents
SQL
Filing
Algorithms
Software Design
TensorFlow
Statistics
Art
Job Details
Role Summary
We are seeking a highly skilled Lead Data Scientist / Senior Machine Learning Engineer to join our AI/ML and Advanced Analytics team. In this role, you will drive the development and deployment of cutting-edge machine learning, deep learning, and Generative AI solutions to solve complex business problems across Verizon s business units. You ll collaborate with cross-functional teams to deliver intelligent systems that scale, are responsible, and deliver measurable business impact.
Key Responsibilities
- Design, develop, and deploy production-grade machine learning and deep learning models for predictive analytics, NLP, and computer vision use cases.
- Lead the research and application of Generative AI (LLMs, diffusion models, multimodal models) to build innovative solutions in customer service, marketing, network optimization, and operations.
- Collaborate with stakeholders to identify high-impact opportunities and formulate AI-driven strategies.
- Guide and mentor junior data scientists and engineers; set best practices in modeling, data engineering, and MLOps.
- Design and lead end-to-end ML pipelines using tools like TensorFlow, PyTorch, scikit-learn, MLflow, and Kubernetes.
- Optimize models for performance, explainability, and fairness.
- Stay up to date with state-of-the-art research in ML/AI and rapidly prototype solutions to test new ideas.
- Contribute to the company s IP portfolio by publishing whitepapers or filing patents.
Preferred Qualifications
- Master s or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or related field.
- 7+ years of hands-on experience in machine learning, deep learning, or applied AI.
- Proven experience with LLMs (e.g., GPT, LLaMA, Claude), Transformers, CNNs, RNNs, and generative models (e.g., GANs, VAEs).
- Proficiency in Python, SQL, and ML libraries (TensorFlow, PyTorch, Hugging Face, etc.).
- Familiarity with cloud platforms (AWS/Google Cloud Platform/Azure) and ML Ops tooling (Docker, Kubeflow, MLflow, Airflow).
- Strong understanding of data structures, algorithms, and software design principles.
- Excellent problem-solving skills, communication, and ability to translate business requirements into technical solutions.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.