Software Developer Specialist – AI/ML & Cloud Engineering @ Austin Texas
vardhan
Job Title: Software Developer Specialist – AI/ML & Cloud Engineering
Category: Applications / Software Development
Position Type: Contract
Location: Austin Texas
Position Overview
The Texas Department of Transportation (TxDOT) is seeking a highly experienced Software Developer Specialist to support enterprise AI and advanced software engineering initiatives. The selected candidate will play a key role in transforming existing AI proof-of-concept solutions into scalable, production-grade web applications that support transportation engineering workflows.
This role focuses on AI-driven automation, computer vision, digital delivery, roadway asset detection, plan review automation, CI/CD engineering, and cloud-native ML deployment across enterprise environments.
Key Responsibilities
- Design, develop, and deploy scalable AI/ML-powered web applications.
- Extend existing proof-of-concept AI models into enterprise production solutions.
- Build secure and user-friendly interfaces for engineering and transportation workflows.
- Develop automated quantity extraction and plan conformance systems.
- Implement CI/CD pipelines and cloud-native deployment strategies.
- Integrate NLP, computer vision, and time-series AI models into operational environments.
- Support MLOps, distributed model training, and real-time inference systems.
- Collaborate with cross-functional engineering and infrastructure teams.
Required Skills & Experience
- 8+ years of experience with cloud platforms including AWS, Azure, GCP, or OCI.
- 8+ years of DevOps experience using Docker, Kubernetes, Ansible, and CI/CD pipelines.
- Strong database expertise with PostgreSQL, MySQL, NoSQL, and vector databases.
- Advanced scripting experience using Bash and PowerShell.
- Hands-on experience with Azure DevOps, Jenkins, GitHub Actions, or similar tools.
- 3+ years of production Python development experience.
- Experience with NLP/LLMs including GPT, BERT, T5, RAG systems, prompt engineering, and fine-tuning.
- Experience developing and deploying AI/ML models serving real users.
- Expertise in Computer Vision using PyTorch, TensorFlow, OpenCV, YOLO, object detection, and segmentation.
- Experience with MLOps tools such as MLflow, Kubeflow, Airflow, or Weights & Biases.
- Knowledge of distributed training, feature engineering, model optimization, and vector-based AI systems.
- Experience with Hugging Face, Ollama, or other non-frontier LLM platforms.