Artificial Intelligence/Machine Learning Engineer

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required

Skills

LLMs
Azure_AI
AI Agents
AI services

Job Details

Job Title: Artificial Intelligence/Machine Learning Engineer
Austin TX
5 days onsite
Contract : Long term
Must be residing in Austin TX

As part of the AI Technical Team, you will design, build, and deploy advanced models and AI solutions to solve real-world problems. You will work with large datasets, AI frameworks, and cross-functional teams to deliver impactful results that align with our business goals.

Must have 5 to 9 years of experience with
Creating end-to-end custom applications leveraging AI technologies
Designing and implementing RAG solutions using vector databases, embedding models, scripting, and LLMs to enhance contextual relevance and accuracy in generative outputs.
Experience and judgement for designing cutting edge technology solutions
Evaluating and benchmark generative models using quantitative and qualitative metrics to ensure performance, safety, accuracy, and reliability.
Monitoring and improving model performance through continuous feedback loops, error analysis, and prompt engineering.
Contributing to ethical AI practices, including bias detection, content filtering, implementation of guardrails, and responsible deployment strategies.

Preferred Skills and Qualifications
Evaluate appropriate LLMs and associated model providers, the modality of accessing these models (SaaS/PaaS), data obfuscation strategies for interacting with models, and cost parameters
Determine appropriate architecture for AI services
Developing/maintaining AI Agents
Use of Azure AI Foundry services for building AI 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.