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Role: Software Developer Specialist (AI/ML)
Location: Austin, TX (Hybrid)
Duration: 12 Months (2 Possible 1-Year Extensions)
Hours: 2080 Hours
Key Skills Required:
Seeking a senior AI/ML-focused Software Developer Specialist to transform existing AI proof-of-concepts into scalable, production-ready web applications supporting transportation engineering workflows, including plan review automation, roadway asset detection, and digital delivery initiatives.
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, Google Cloud Platform, or OCI for deploying and managing ML workloads. We leverage AI/ML tools across all major cloud providers (Azure AI, AWS SageMaker/Bedrock, Google Cloud Platform 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
Role: Software Developer Specialist (AI/ML)
Location: Austin, TX (Hybrid)
Duration: 12 Months (2 Possible 1-Year Extensions)
Hours: 2080 Hours
Key Skills Required:
- Python (Production Experience)
- AI/ML Model Development & Deployment
- NLP, LLMs, RAG, Prompt Engineering
- Computer Vision (YOLO, OpenCV, PyTorch, TensorFlow)
- MLOps (MLflow, Kubeflow, Airflow, W&B)
- Cloud Platforms (AWS, Azure, Google Cloud Platform, OCI)
- Docker, Kubernetes, Ansible
- CI/CD (Azure DevOps, GitHub Actions, Jenkins)
- SQL & NoSQL Databases
- Bash & PowerShell Scripting
- Distributed Training & Model Optimization
- GIS / Spatial Data
- Transportation or Smart City Experience
- Digital Twin Technologies
- Unreal Engine
- Google Maps Cesium API
- Polygonflow Dash
Seeking a senior AI/ML-focused Software Developer Specialist to transform existing AI proof-of-concepts into scalable, production-ready web applications supporting transportation engineering workflows, including plan review automation, roadway asset detection, and digital delivery initiatives.
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, Google Cloud Platform, or OCI for deploying and managing ML workloads. We leverage AI/ML tools across all major cloud providers (Azure AI, AWS SageMaker/Bedrock, Google Cloud Platform 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