What are the responsibilities and job description for the Software Developer Specialist position at Maddisoft?
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.