Maddisoft has the following immediate opportunity, let us know if you or someone you know would be interested. Send in your resume ASAP. - U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. Send in resume along with LinkedIn profile without which applications will not be considered. Call us NOW! ***Visa sponsorship is available for this position.
Job Title: Software Developer Specialist
Location: Austin, TX (Hybrid) "Resource must be in the office a minimum of four days a week.
Overview
The Senior Software Developer Specialist will advance Client AI initiatives by extending existing proof-of-concept (POC) solutions into scalable, production-ready web applications that support transportation engineering workflows. This role focuses on transforming early-stage AI models and prototypes such as those for plan review automation, roadway asset detection, and digital delivery into fully integrated applications accessible through secure, user-friendly web interfaces across the enterprise.
Minimum Requirements (Required)
Must meet or exceed all stated requirements.
Core Infrastructure & Cloud (8 years required)
- Cloud Platforms: Experience with AWS, Azure, Google Cloud Platform, or OCI for deploying and managing ML workloads. Client leverages AI/ML tools across all major cloud providers (Azure AI, AWS SageMaker/Bedrock, Google Cloud Platform Vertex AI, OCI AI Services).
- DevOps: Ansible, CI/CD, Docker, and Kubernetes experience.
- Databases: SQL (PostgreSQL, MySQL) and NoSQL/vector databases.
- Scripting: Proficient in both Bash and PowerShell for automation.
- CI/CD Experience: Azure DevOps, GitHub Actions, Jenkins, or similar automation pipelines.
AI/ML & Programming (3 years required for each)
- Python: 3-5+ years of production experience (primary language).
- NLP/LLMs: Experience with transformers (BERT, GPT, T5), RAG systems, fine-tuning, prompt engineering, or building LLM applications.
- Time Series: Forecasting models, anomaly detection, sequential data modeling, or real-time monitoring systems.
- Recommender Systems: Collaborative filtering, ranking models, personalization engines, or content recommendations.
- MLOps Tools: Production experience with MLflow, Weights & Biases, Kubeflow, Airflow, or similar platforms.
- Distributed Training: Large-scale model training, multi-GPU/multi-node setups, efficient data parallelism.
- Computer Vision: Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference.
- Feature Stores: Experience with Feast, Tecton, or advanced feature engineering.
- Model Optimization: Quantization, pruning, knowledge distillation.
- LLM Models: Ollama, Huggingface, or other non-frontier models.
AI/ML Production Experience (2 years required)
- AI/ML Production: Built and deployed 2-3+ ML models serving real users (not just experiments).
Preferred Qualifications
- 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.
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