Artificial Intelligence/Machine Learning Engineer II

  • Austin, TX
  • Posted 4 days ago | Updated 2 days ago

Overview

On Site
$60 - $70
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

AI/ML
Research Background

Job Details

Note: AI/ML looking research Background

Client: TxDOT (ITD – Service Governance) has a new Staff Aug position and we are seeking candidates for the following:

  • ITSAC Job Title: Artificial Intelligence/Machine Learning Engineer II
  • Total Hours:2080
  • Service Term Expected:12-month duration
  • Work hours andLocation:8AM – 5PM, 6230 E Stassney Ln, Austin, TX 78744

 

This position requires candidates to be in onsite 5 days a week. Candidates must be LOCAL.

 

SCTASK Reference number

SCTASK1465696

DIR-ITSAC Role (including level)

Artificial Intelligence/Machine Learning Engineer 2

TxDOT work to be accomplished

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.

Minimum Yrs of Experience, Skills, and Qualifications

4-7 years: Experience creating end-to-end custom applications leveraging AI technologies
4-7 years: Designing and implementing RAG solutions using vector databases, embedding models, scripting, and LLMs to enhance contextual relevance and accuracy in generative outputs.
4-7 years: Experience and judgement for designing cutting edge technology solutions
4-7 years: Evaluating and benchmark generative models using quantitative and qualitative metrics to ensure performance, safety, accuracy, and reliability.
4-7 years: Monitoring and improving model performance through continuous feedback loops, error analysis, and prompt engineering.
4-7 years: Contributing to ethical AI practices, including bias detection, content filtering, implementation of guardrails, and responsible deployment strategies.

Preferred Skills and Qualifications

1 year: 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
1 year: Determine appropriate architecture for AI services
1 year: Developing/maintaining AI Agents
1 year: 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.