Jobs via Dice · 20 hours ago
AI Engineer - Location - Austin TX (Onsite)
Austin, TX
Full-time
Onsite
Entry Level
1+ years expDice is the leading career destination for tech experts at every stage of their careers, and they are seeking an AI Engineer I for Conquest Consulting. The AI Engineer will develop AI/ML proof-of-concept demonstrations and build new AI/ML solutions to improve the safety and operations of the TxDOT roadway system.
Computer Software
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
Act as liaison 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
Ensure automation projects comply with TxDOT's 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
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
Qualification
Required
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, Google Cloud Platform, or OCI for deploying and managing ML workloads. We leverage AI/ML tools across all major cloud providers (Azure AI, AWS SageMaker/Bedrock, Google Cloud Platform 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
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)
Company
Jobs via Dice
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0-1 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase