AI/ML Engineer

Lumen Solutions Group Inc • Austin, TX

1d • Hybrid

About The Position

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.

Requirements

• 8+ years Cloud Platforms: Experience with AWS, Azure, GCP, or OCI for deploying and managing ML workloads.
• 8+ years DevOps: Ansible, CI/CD, Docker and Kubernetes experience.
• 8+ years Databases: SQL (PostgreSQL, MySQL) and NoSQL/vector databases.
• 8+ years Scripting: Proficient in both Bash and PowerShell for automation.
• 8+ years CI/CD Experience: Azure DevOps, GitHub Actions, Jenkins, or similar automation pipelines.
• 3-5+ years Python: Production experience, this is your primary language.
• 3+ years NLP/LLMs: Experience with transformers (BERT, GPT, T5), RAG systems, fine-tuning, prompt engineering, or building LLM applications.
• 3+ years Time Series: Forecasting models, anomaly detection, sequential data modeling, or real-time monitoring systems.
• 3+ years Recommender Systems: Collaborative filtering, ranking models, personalization engines, or content recommendations.
• 3+ years MLOps Tools: Production experience with MLflow, Weights & Biases, Kubeflow, Airflow, or similar platforms.
• 3+ years Distributed Training: Large-scale model training, multi-GPU/multi-node setups, efficient data parallelism.
• 3+ years Computer Vision: Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference.
• 3+ years Feature stores (Feast, Tecton) or advanced feature engineering.
• 3+ years Model optimization: quantization, pruning, knowledge distillation.
• 3+ years LLM Models: Ollama, Huggingface, or other non-frontier models
• 2+ years AI/ML Production: Built and deployed 2-3+ ML models serving real users, not just experiments.

Nice To Haves

• Experience with Geospatial Information Systems (GIS) and analyzing spatial data.
• Prior experience in the transportation, logistics, or smart city sectors.
• Background in Computer Vision (object detection, image segmentation) applied to infrastructure or vehicular data.
• Familiarity with public sector data compliance, security, and governance standards.
• Experience with the Unreal gaming engine and real world digital twinning
• Experience with Google Maps Cesium API
• Experience with Polygonflow Dash and its capabilities

Responsibilities

• Model ingestion
• Automated quantity extraction
• Plan conformance checks
• CI/CD automation
• Advancing AI initiatives by extending existing proof-of-concept (POC) solutions into scalable, production-ready web applications that directly support transportation engineering workflows
• Transforming early-stage AI models and prototypes into fully integrated applications accessible through secure, user-friendly web interfaces across the enterprise

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed