Onsite AI/MLSoftware Developer Specialist (Austin TX)
Austin, Minnesota, United States of America
Contract
2 days ago
Key skills
PythonSQLNoSQLBashPowerShellAIMLNLPComputer VisionLLMOllamaRAGPyTorchTensorFlowOpenCVMLOpsMLflowKubeflowAirflowAWSAzureGoogle CloudKubernetesDockerJenkinsGitHub ActionsAnsibleSageMakerBedrockAzure DevOpsVertex AIPostgreSQLMySQLGitHubCI/CD
About this role
Respond by: 06/11/2026
Rate: DOE
Type: Contract
Work Mode: Hybrid
Location: Austin TX
Please respond with resume and 3 references preferably supervisor (name, title, company, email, phone number)
Background Check will be performed if a candidate is selected for placement and will have to be passed'
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 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.
II. 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
III. TERMS OF SERVICE
Services are expected to start 06/15/2026 and are expected to complete by 06/14/2027. Total estimated hours per Candidate shall not exceed 2080 hours. This service may be amended, renewed, and/or extended providing both parties agree to do so in writing.