Cloud Engineer with public sector experience

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., Cloud Platforms: Experience with AWS, Azure, GCP, or OCI for deploying and managing ML workloads. We leverage AI/ML tools across all major cloud providers (Azure AI, AWS SageMaker/Bedrock, GCP 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., 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.

Python: 3-5+ years production experience, this is your primary language., NLP/LLMs: Experience with transformers (BERT, GPT, T5), RAG systems, fine-tuning, prompt engineering, or building LLM applications., 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