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Requirement details:
Internal job ID:TWK_3100
Operational AI / ML Engineer (Traffic Domain / Technology)
State of Texas
Austin, TX # Onsite
- The position is Onsite(No Remote work)
- The program will only allow candidates who are LOCAL TO TEXAS AREA ONLY. Highly preferred Local to Austin
- Active Texas DL & LinkedIn ID Must for submission
- Please do not submit candidates who are currently out of state and are planning to move to Texas. Candidates must already reside in Texas.
EXP: 8-10 Years only / Not more than 10+ years
Interview Mode : In-person / Video (Depends on client request)
NOTE:
✅Experience range strictly 8–10 years (NOT more)
✅Operational AI / ML Engineer ONLY
❌ Do NOT submit Generative AI Engineers
✅Real-time, hands-on experience is mandatory
✅Only relevant, hands-on Operational AI profiles will be considered.
Job Description:
The State of Texas is seeking a highly energetic, proactive, hands-on Operational #AI / #ML Engineer with a strong ownership mindset to join the #Traffic Technology team.
This role focuses on building and deploying real-time #computervision and #trafficvideo analytics solutions to improve #roadwaysafety and operational efficiency across Texas.
Required Skills:
- Strong hands-on experience with Computer Vision
- Real-time traffic camera video analytics
- Building AI models on video data (Traffic Vision Modules)
- Object detection & localization in images/videos
- Core Tools & Frameworks
- OpenCV (image/video processing)
- YOLO (or similar object detection frameworks)
- TensorFlow and/or PyTorch
- Python, SQL
- Object Detection Models
- YOLO, Faster R-CNN, SSD, RetinaNet
- Datasets & Annotation
- COCO, ImageNet, custom-labeled datasets
- LabelImg, CVAT, Roboflow
- ☁️ Cloud & MLOps (Strongly Required)
- AWS (mandatory)
- Airflow, MLflow, Kubeflow
- Docker & Kubernetes
- Monitoring: Prometheus, Grafana