Artificial Intelligence/Machine Learning Engineer II

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence/Machine Learning Engineer II, requiring 15+ years of experience, onsite in Austin, TX, for a 12-month contract at $60.00 - $65.00 per hour. Key skills include AI application development and RAG solutions.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
520
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πŸ—“οΈ - Date discovered
September 19, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Austin, TX 78701
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Datasets #Monitoring #Scripting #SaaS (Software as a Service) #Databases #Data Obfuscation #Generative Models #Deployment #ML (Machine Learning) #Azure
Role description
Artificial Intelligence/Machine Learning Engineer II Overall Exp: Minimum 15+ Years (Must) Location : Austin TexasClient : TXDOT - Texas Department of TransportationJob ID : SCTASK1465700 Total Hours: 2080 Service Term Expected: 12-month duration Work hours and Location: 8AM – 5PM, 6230 E Stassney Ln, Austin, TX 78744This position requires candidates to be onsite 5 days a week. Candidates must be LOCAL. NOTE : Previous State Project Experience is Required 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 Β· 4-7 years: Experience creating end-to-end custom applications leveraging AI technologies Β· 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. Β· 4-7 years: Experience and judgement for designing cutting edge technology solutions Β· 4-7 years: Evaluating and benchmark generative models using quantitative and qualitative metrics to ensure performance, safety, accuracy, and reliability. Β· 4-7 years: Monitoring and improving model performance through continuous feedback loops, error analysis, and prompt engineering. Β· 4-7 years: Contributing to ethical AI practices, including bias detection, content filtering, implementation of guardrails, and responsible deployment strategies. Β· 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 Β· 1 year: Determine appropriate architecture for AI services Β· 1 year: Developing/maintaining AI Agents Β· 1 year: Use of Azure AI Foundry services for building AI solutions SL No Skills / Experience Required Experience Candidate Experience 1 Experience creating end-to-end custom applications leveraging AI technologies 4–7 years 2 Designing and implementing RAG solutions using vector databases, embedding models, scripting, and LLMs to enhance contextual relevance & accuracy 4–7 years 3 Experience and judgment for designing cutting-edge technology solutions 4–7 years 4 Evaluating and benchmarking generative models using quantitative & qualitative metrics (performance, safety, accuracy, reliability) 4–7 years 5 Monitoring and improving model performance through continuous feedback loops, error analysis, and prompt engineering 4–7 years 6 Contributing to ethical AI practices (bias detection, content filtering, guardrails, responsible deployment strategies) 4–7 years 7 Evaluate appropriate LLMs, model providers, modalities (SaaS/PaaS), data obfuscation strategies, and cost parameters 1 year 8 Determine appropriate architecture for AI services 1 year 9 Developing / maintaining AI Agents 1 year 10 Use of Azure AI Foundry services for building AI solutions 1 year Job Type: Contract Pay: $60.00 - $65.00 per hour Expected hours: 8 per week Ability to Commute: Austin, TX 78701 (Required) Ability to Relocate: Austin, TX 78701: Relocate before starting work (Required) Work Location: In person