AIML Devops Engineer

JOB DESCRIPTION


POSITION: AIML Devops Engineer
DURATION: Long term
Client: State of TX

Location: Austin, TX



I. DESCRIPTION OF SERVICES

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.

II. 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, 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).


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