Cloud DevOps with AI/ML-Software Developer Specialist (Austin TX)TexcelVision Inc. • United States
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Cloud DevOps with AI/ML-Software Developer Specialist (Austin TX)
TexcelVision Inc.
- United States
- United States
À propos
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. 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, 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. 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 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.
Compétences linguistiques
- English
Avis aux utilisateurs
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