Java with Gen AI copilot

Overview

On Site
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Able to Provide Sponsorship

Skills

Generative Artificial Intelligence (AI)
Data Science
Artificial Intelligence
Large Language Models (LLMs)
GitHub
Google Cloud Platform

Job Details

Role: Java with Gen AI copilot

No of roles : Multiple

Location: Irving, Texas

The Role

Responsibilities:

  • Design, develop, and maintain high-quality Java applications.
  • Collaborate with cross-functional teams to define, design, and ship new features.
  • Utilize Generative AI tools, such as GitHub Copilot, to streamline coding tasks and improve efficiency.
  • Write clean, maintainable, and efficient code while adhering to best practices and coding standards.
  • Conduct code reviews and provide constructive feedback to peers.
  • Troubleshoot and debug applications to ensure optimal performance.
  • Stay updated with emerging technologies and industry trends, particularly in AI and software development.
  • Document development processes, code changes, and software architecture.

Requirements:

  • Bachelor s or Master s degree in Computer Science, Data Science, Machine Learning, or a related field.
  • Experience level 7+ years.
  • Strong understanding of machine learning concepts, natural language processing (NLP), and generative AI.
  • Experience with prompt development and fine-tuning large language models like GPT, Gemini, Langchain, and Llama.
  • Proficiency in programming languages such as Python, with experience in AI/ML libraries (e.g., TensorFlow, PyTorch, Hugging Face).
  • Knowledge of MLOps tools for model deployment and monitoring.
  • Experience working with cloud platforms (e.g., AWS, Google Cloud Platform, Azure) for model training and deployment.
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.