

BuzzClan
Artificial Intelligence / Machine Learning Engineer Specialist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence / Machine Learning Engineer Specialist in Austin, TX (Hybrid – 3 days onsite) on a contract basis. Requires 8+ years in software engineering, cloud development, and AI/LLM integrations. Pay rate and contract length unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
June 19, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Austin, TX
-
🧠 - Skills detailed
#Python #Automation #C# #Terraform #React #Azure DevOps #Infrastructure as Code (IaC) #Security #ML (Machine Learning) #DevOps #TypeScript #DevSecOps #Azure #JavaScript #API (Application Programming Interface) #Kubernetes #Cloud #Scala #AI (Artificial Intelligence) #Angular #GitHub
Role description
Hiring: Artificial Intelligence / Machine Learning Engineer Specialist
Location: Austin, TX (Hybrid – 3 days onsite)
Contract Opportunity
We are looking for an experienced AI/ML Engineer Specialist to support modernization initiatives by designing, developing, and deploying AI-enabled digital solutions.
The ideal candidate will have strong experience in software engineering, cloud-native development, AI/LLM integrations, automation, APIs, DevSecOps, and enterprise application delivery. This role will work closely with business teams and technical stakeholders to build secure, scalable, production-ready solutions.
Key Responsibilities:
• Develop AI-powered applications, APIs, automation tools, and cloud-native solutions
• Build prototypes and production systems using modern engineering practices
• Integrate LLMs, internal services, and data platforms
• Implement CI/CD pipelines, Infrastructure as Code, and DevSecOps practices
• Work with React/Angular, TypeScript/JavaScript, Python, or C#
• Support cloud architecture, security, and enterprise integrations
• Mentor teams and drive AI adoption through best practices
Required Skills:
8+ years software engineering experience
Cloud platforms & modern application development
API integrations & AI/LLM workflows
React, Angular, TypeScript/JavaScript, Python, or C#
GitHub Actions/Azure DevOps, Terraform, Kubernetes
Security frameworks (NIST, Zero Trust, TX-RAMP)
Strong communication and stakeholder collaboration
Preferred: Experience with government, regulated environments, AI agents, RAG workflows, DevSecOps, and cloud certifications.
Hiring: Artificial Intelligence / Machine Learning Engineer Specialist
Location: Austin, TX (Hybrid – 3 days onsite)
Contract Opportunity
We are looking for an experienced AI/ML Engineer Specialist to support modernization initiatives by designing, developing, and deploying AI-enabled digital solutions.
The ideal candidate will have strong experience in software engineering, cloud-native development, AI/LLM integrations, automation, APIs, DevSecOps, and enterprise application delivery. This role will work closely with business teams and technical stakeholders to build secure, scalable, production-ready solutions.
Key Responsibilities:
• Develop AI-powered applications, APIs, automation tools, and cloud-native solutions
• Build prototypes and production systems using modern engineering practices
• Integrate LLMs, internal services, and data platforms
• Implement CI/CD pipelines, Infrastructure as Code, and DevSecOps practices
• Work with React/Angular, TypeScript/JavaScript, Python, or C#
• Support cloud architecture, security, and enterprise integrations
• Mentor teams and drive AI adoption through best practices
Required Skills:
8+ years software engineering experience
Cloud platforms & modern application development
API integrations & AI/LLM workflows
React, Angular, TypeScript/JavaScript, Python, or C#
GitHub Actions/Azure DevOps, Terraform, Kubernetes
Security frameworks (NIST, Zero Trust, TX-RAMP)
Strong communication and stakeholder collaboration
Preferred: Experience with government, regulated environments, AI agents, RAG workflows, DevSecOps, and cloud certifications.






