Overview
Remote
$40 - $60
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required
Skills
Amazon EC2
Amazon Web Services
Artificial Intelligence
C++
Cloud Computing
Good Clinical Practice
Google Cloud Platform
Kubernetes
Machine Learning (ML)
Microsoft Azure
Performance Testing
Programming Languages
PyTorch
Python
TensorFlow
Job Details
AI/ML Engineer
Primary Responsibilities
- Deploy and optimize AI models on AWS, Azure and Google Cloud Platform
- Implement and benchmark RAG (Retrieval-Augmented Generation) pipelines
- Conduct comprehensive performance testing and optimization
- Cost analysis and resource efficiency evaluation
- Model inference latency and throughput benchmarking
Required Technical Skills
Core AI/ML Expertise:
- Programming Languages: Python (advanced), C++ (intermediate)
- ML Frameworks: PyTorch, TensorFlow, Hugging Face Transformers, LangChain
Platform & Infrastructure:
- Containerization using Docker
- Orchestration: Kubernetes
- Cloud Platforms: AWS (EC2 P/G instances), Azure (NC/ND series), Google Cloud Platform (A2/N1 instances)
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.