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ARTIFICIAL INTELLIGENCE/ MACHINE LEARNING ENGINEER (ONSITE), AUSTIN, TX

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Contract: 12+ Months

Deadline: 12/22/25

Job Description:

The AI engineer will work across teams such as Traffic Technology, ITD AI team, and TRF to gather business requirements, develop AI software, and demonstrate successful solutions to end-users.

Core Responsibilities
Gather and document AI solution requirements from business stakeholders.
Develop AI proof-of-concepts and transition successful prototypes into production systems.
Design and implement scalable AI pipelines for enterprise applications.
Train, fine-tune, and validate AI/ML models for optimal performance.
Write clean, efficient software code and scripts for AI workflows.
Conduct rigorous testing and quality assurance of AI models and outputs.
Ensure compliance with organizational IT governance, security, and audit standards.

Stakeholder Engagement & Communication
Act as liason between Traffic Technology team, business stakeholders, and automation developers.
Facilitate requirements gathering and ensure clarity in AI solution design.
Communicate progress, risks, and issues to project sponsors and leadership teams.

Delivery Excellence & Governance
Ensure automation projects comply with IT governance, security, and audit requirements.
Promote reusable components and standardized AI development practices.
Conduct post-implementation reviews to capture lessons learned and improve delivery methods.

Team Coordination & Support
Collaborate with data engineers, business analysts, and infrastructure teams.
Provide guidance on AI best practices and assist in troubleshooting.
Support knowledge sharing and continuous improvement within the team.

Required Skills:

  • Python – 1-3+ years production experience, this is your primary language

  • AI/ML Production - Built and deployed 1-3+ ML models serving real users, not just experiments

  • Cloud Platforms - Experience with AWS, Azure, GCP, or OCI for deploying and managing ML workloads. We leverage AI/ML tools across all major cloud providers (Azure AI, AWS SageMaker/Bedrock, GCP Vertex AI, OCI AI Services)

  • DevOps - Docker and Kubernetes experience

  • Databases - SQL (PostgreSQL, MySQL) and NoSQL/vector databases

  • Scripting - Proficient in both Bash and PowerShell for automation

  • Command Line Interface (CLI) – 1-3+ years production experience working in CLI terminal.

Preferred Skills:

  • CI/CD Experience: Azure DevOps, GitHub Actions, Jenkins, or similar automation pipelines

  • Computer Vision: Production CV experience with PyTorch/TensorFlow, OpenCV, object detection, segmentation, or real-time inference

  • Additional Languages: Go or Rust experience for performance-critical components

  • Feature stores (Feast, Tecton) or advanced feature engineering

  • Model optimization: quantization, pruning, knowledge distillation

  • Edge deployment or resource-constrained model deployment

  • Experiment frameworks for A/B testing ML models

  • Contributions to open-source ML projects

  • Real-time streaming data processing (Kafka, Kinesis)

Kavitha K