Job Description
A Software Developer Specialist will focus on engineering-related software services, including model ingestion, automated quantity extraction, plan conformance checks, and CI/CD automation. Leveraging PEPS ensures compliance with procurement regulations while enabling rapid onboarding of specialized talent. The Senior Software Developer Specialist will be responsible for advancing TxDOT''s AI initiatives by extending existing proof-of-concept (POC) solutions into scalable, production-ready web applications that directly support transportation engineering workflows. This role will focus on transforming early-stage AI models and prototypes-such as those supporting plan review automation, roadway asset detection, and digital delivery-into fully integrated applications accessible through secure, user-friendly web interfaces across the enterprise.
CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. Years Required/Preferred Experience 8 Required 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). 8 Required DevOps:
Ansible, CI/CD, Docker and Kubernetes experience. 8 Required Databases:
SQL (PostgreSQL, MySQL) and NoSQL/vector databases. 8 Required Scripting:
Proficient in both Bash and PowerShell for automation. 8 Required CI/CD Experience:
Azure DevOps, GitHub Actions, Jenkins, or similar automation pipelines. 3 Required Python:
3-5+ years production experience, this is your primary language. 3 Required NLP/LLMs:
Experience with transformers (BERT, GPT, T5), RAG systems, fine-tuning, prompt engineering, or building LLM applications. 3 Required Time Series:
Forecasting models, anomaly detection, sequential data modeling, or real-time monitoring systems. 3 Required Recommender Systems:
Collaborative filtering, ranking models, personalization engines, or content recommendations. 3 Required MLOps Tools:
Production experience with MLflow, Weights & Biases, Kubeflow, Airflow, or similar platforms. 3 Required Distributed Training:
Large-scale model training, multi-GPU/multi-node setups, efficient data parallelism. 3 Required Computer Vision:
Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference. 3 Required Feature stores (Feast, Tecton) or advanced feature engineering. 3 Required Model optimization: quantization, pruning, knowledge distillation. 3 Required LLM Models:
Ollama, Huggingface, or other non-frontier models 2 Required AI/ML Production:
Built and deployed 2-3+ ML models serving real users, not just experiments. 1 Preferred Experience with Geospatial Information Systems (GIS) and analyzing spatial data. 1 Preferred Prior experience in the transportation, logistics, or smart city sectors. 1 Preferred Background in Computer Vision (object detection, image segmentation) applied to infrastructure or vehicular data. 1 Preferred Familiarity with public sector data compliance, security, and governance standards. 1 Preferred Experience with the Unreal gaming engine and real world digital twinning 1 Preferred Experience with Google Maps Cesium API 1 Preferred Experience with Polygonflow Dash and its capabilities
