Python Engineer - LLM & Cloud / Charlotte / Hybrid

Charlotte, NC, US • Posted 19 days ago • Updated 7 hours ago

Contract W2

On-site

$69.5 - $78.31/hr

Fitment

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Job Details

Skills

Financial Services
Optimization
Python
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Cloud Security
Encryption
Continuous Integration
Continuous Delivery
Machine Learning (ML)
Workflow
Conflict Resolution
Problem Solving
Large Language Models (LLMs)
IaaS
Artificial Intelligence
RESTful
Regulatory Compliance
Management
Cost Control
Collaboration
Documentation
Technical Support
Cloud Computing

Summary

Outstanding contract opportunity! A well-known Financial Services Company is looking for an Python Engineer in Charlotte, NC, Irving, TX, Chandler, AZ, or Minneapolis, MN (hybrid 3 days on-site)

Are you passionate about pioneering AI on cloud platforms? We're seeking a skilled Python Developer with specialized expertise in Large Language Models (LLM) to join our innovative team. Your work will drive the integration, optimization, and deployment of advanced LLM solutions across cloud infrastructure, powering intelligent applications at scale. Bring your expertise and thrive in a collaborative environment dedicated to technological excellence and growth.

Contract Duration: 12+ Months

Required Skills & Experience

Strong proficiency in Python programming.
Experience with LLM frameworks such as Hugging Face Transformers.
Hands-on experience with major cloud platforms: AWS, Azure, or Google Cloud Platform.
Deep understanding of deploying AI/ML models to cloud environments (containers, serverless, etc.).
Solid grasp of cloud security best practices (including IAM, encryption, monitoring).
Familiarity with CI/CD pipelines for ML workflow automation.
Effective problem-solving abilities and a collaborative team spirit.

What You Will Be Doing

Integrate large language models (LLMs) with cloud infrastructure for scalable deployment and inference.
Optimize AI models for efficient resource use and high performance on cloud platforms.
Develop RESTful APIs and backend services for LLM-based solutions.
Ensure robust security and compliance throughout LLM deployment and access within cloud environments.
Manage cloud resources, monitor system health, and implement cost-control strategies.
Collaborate with cross-functional teams to guide the development and deployment of LLM-powered features.
Maintain documentation and provide technical support for cloud-integrated LLM 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.

Dice Id: 10105282
Position Id: 866003
Posted 19 days ago

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