Overview
On Site
$60 - $70
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required
Skills
Python
.NET
Tensorflow
LLM
artificial intelligence
Job Details
Key Responsibilities
- Develop and deploy AI solutions using LLMs to solve real-world operational and customer support challenges.
- Design and implement scalable backend APIs using .NET to support AI-driven applications and services.
- Write high-quality, maintainable Python code for data processing, model integration, and application development.
- Collaborate with cross-functional teams to understand requirements and deliver tailored AI and backend solutions.
- Implement monitoring and alerting mechanisms to ensure the reliability of production systems, including APIs and AI models.
- Process and integrate diverse datasets (e.g., text, voice, tabular) to support AI applications.
- Contribute to sustainable, modular codebases in both Python and .NET to streamline development and deployment.
Minimum Requirements:
- Strong proficiency in Python for building scalable, data-driven applications.
- Experience developing backend APIs using .NET (e.g., ASP.NET Core) for robust, production-ready services.
- Practical experience working with large language models (LLMs) or similar AI technologies for applied use cases.
- Familiarity with at least one modern AI framework (e.g., PyTorch, TensorFlow, Hugging Face Transformers).
- Experience deploying and maintaining AI solutions and APIs in production environments.
- Basic understanding of statistics to evaluate solution performance and feasibility.
- Passion for writing clean, modular, and sustainable code in both Python and .NET to support rapid development and deployment.
Ability to work with diverse datasets, including text, voice, and tabular data
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.