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# AI/ML & Cloud Engineering

- **Company:** MVS360, LLC
- **Location:** Austin, TX, United States
- **Experience:** Experienced
- **Salary:** $208,000.0 - $228,800.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Computer Vision, Microsoft Azure, Bash Shell, Cloud Computing, Cloud Engineering, Program Optimization, Continuous Integration, DevOps, Distributed Computing Environment, Github, Python (Programming Language), PostgreSQL, Machine Learning, MySQL, Natural Language Processing, NoSQL, Object Detection, OpenCV, Windows PowerShell, Ansible, Tensorflow, Software Engineering, Web Applications, Scripting, Feature Engineering, Pytorch, Large Language Models, Prompt Engineering, Kubernetes, Deployment Automation, HuggingFace, Machine Learning Operations, GPT, Docker, Jenkins
- **Published:** June 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9955e074c5b3c929

## About the Role

* 8+ years of experience with cloud platforms including AWS, Azure, GCP, or OCI.
 * 8+ years of DevOps experience using Docker, Kubernetes, Ansible, and CI/CD pipelines.
 * Strong database expertise with PostgreSQL, MySQL, NoSQL, and vector databases.
 * Advanced scripting experience using Bash and PowerShell.
 * Hands-on experience with Azure DevOps, Jenkins, GitHub Actions, or similar tools.
 * 3+ years of production Python development experience.
 * Experience with NLP/LLMs including GPT, BERT, T5, RAG systems, prompt engineering, and fine-tuning.
 * Experience developing and deploying AI/ML models serving real users.
 * Expertise in Computer Vision using PyTorch, TensorFlow, OpenCV, YOLO, object detection, and segmentation.
 * Experience with MLOps tools such as MLflow, Kubeflow, Airflow, or Weights & Biases.
 * Knowledge of distributed training, feature engineering, model optimization, and vector-based AI systems.
 * Experience with Hugging Face, Ollama, or other non-frontier LLM platforms.

## Description

This role focuses on AI-driven automation, computer vision, digital delivery, roadway asset detection, plan review automation, CI/CD engineering, and cloud-native ML deployment across enterprise environments., * Design, develop, and deploy scalable AI/ML-powered web applications.

 * Extend existing proof-of-concept AI models into enterprise production solutions.
 * Build secure and user-friendly interfaces for engineering and transportation workflows.
 * Develop automated quantity extraction and plan conformance systems.
 * Implement CI/CD pipelines and cloud-native deployment strategies.
 * Integrate NLP, computer vision, and time-series AI models into operational environments.
 * Support MLOps, distributed model training, and real-time inference systems.
 * Collaborate with cross-functional engineering and infrastructure teams.


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