Generative AI Engineer | W2 | 1099

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Machine Learning
Deep Learning
Neural Networks
GANs
VAEs
LLMs
Python
AI Libraries
Scikit-learn
TensorFlow
PyTorch
Keras
NLP
AWS
Azure
CI/CD
testing

Job Details

Required Skills

Machine Learning, Deep Learning, Neural Networks (GANs, VAEs, Transformers, LLMs)
Python & AI Libraries (Scikit-learn, TensorFlow, PyTorch, Keras)
Natural Language Processing (NLP)
Prompt Engineering
Data Management, Preprocessing, Feature Engineering
Experience designing & implementing AI models (5+ years, Generative AI preferred)
Cloud-based AI platforms (AWS, Azure)
Software development best practices (CI/CD, version control, testing)
Strong problem-solving, analytical, and communication skills
Understanding of AI ethics & responsible AI

Desired Skills

  • Experience with federal or state government IT projects

  • Familiarity with LLM models available in the market

  • Retrieval Augmented Generation (RAG) experience

  • Integration of GenAI models/services via APIs

Education & Experience

  • Bachelor s Degree in Computer Science, Engineering, Math, or related field (Master s/PhD may substitute for some experience)

  • 12+ years of IT experience (development background preferred)

  • 5+ years hands-on AI model development experience (Generative AI preferred)

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.