AI / Machine Learning Engineer (onsite)

Vitaver & Associates • Austin, TX

6d • Onsite

About The Position

14503 – AI/Machine Learning Engineer (onsite) – Austin, TX Start Date : ASAP Type: Temporary Project Estimated Duration : 12+ months with possible extensions Work Setting: Remote work allowed per the client’s policy, but candidate must be in the office at least four days a week (or as otherwise approved by the client). Only candidates able to relocate as required should apply to avoid removal from future consideration. Responsibilities include but are not limited to the following: Provided expert-level support for MicroStation, ProjectWise, and OpenRoads Designer, including troubleshooting, configuration, workflow optimization, and end‑user guidance across civil engineering design teams. Led enterprise-wide software implementation and deployment initiatives, ensuring successful rollout, version control, governance, and system stability across multiple environments. Developed, packaged, and deployed complex software distributions, including automated installers, configuration bundles, and updates for CADD and civil engineering applications. Served as SME for CADD tools, delivering advanced technical support, training, standards enforcement, and workflow consulting for civil engineering design teams using Bentley and related platforms. Delivered high-quality customer‑centric support, resolving technical issues, providing proactive guidance, and ensuring a positive user experience while supporting large, multi-disciplinary engineering teams. Analyzed hardware, software, and workflow dependencies for civil engineering applications, offering expert recommendations that improved performance, compatibility, and operational efficiency. Collaborated effectively across teams, applying strong communication, logic, and problem‑solving skills to make decisions that supported engineering business goals and technical objectives.

Requirements

• Availability to work 4 days at the Client’s site in Austin, TX (required)
• Experience with support of MicroStation / ProjectWise / OpenRoads Designer (5+ years)
• Experience in enterprise software implementation and deployment (5+ years)
• Experience with software package creation and deployment (5+ years)
• Experience with SME for CADD tools and provides extensive support for civil engineering software (8+ years)
• Experience in effective customer-centric support (5+ years)
• Experience providing guidance to end users based on analysis of hardware, software and technologies associated with civil engineering workflows (5+ years)

Nice To Haves

• Experience with python production as a primary language 1-3+ ML
• Experience in AI/ML Production - Built and deployed 1-3+ ML models serving real users, not just experiments
• 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)
• DevOps - Docker and Kubernetes experience
• Databases - SQL (PostgreSQL, MySQL) and NoSQL/vector databases
• Scripting - Experience in both Bash and PowerShell for automation
• Command Line Interface (CLI) – 1-3+ years production experience working in CLI terminal
• CI/CD Experience: Azure DevOps, GitHub Actions, Jenkins, or similar automation pipelines
• Computer Vision: Production CV experience with PyTorch/TensorFlow, OpenCV, object detection, segmentation, or real-time inference
• Go or Rust experience for performance-critical components
• Experience in Feature stores (Feast, Tecton) or advanced feature engineering
• Model optimization experience: quantization, pruning, knowledge distillation
• Experience in Edge deployment or resource-constrained model deployment
• Experiment frameworks for A/B testing ML models
• Experience with contributions to open-source ML projects
• Real-time streaming data processing experience (Kafka, Kinesis)

Responsibilities

• Provided expert-level support for MicroStation, ProjectWise, and OpenRoads Designer, including troubleshooting, configuration, workflow optimization, and end‑user guidance across civil engineering design teams.
• Led enterprise-wide software implementation and deployment initiatives, ensuring successful rollout, version control, governance, and system stability across multiple environments.
• Developed, packaged, and deployed complex software distributions, including automated installers, configuration bundles, and updates for CADD and civil engineering applications.
• Served as SME for CADD tools, delivering advanced technical support, training, standards enforcement, and workflow consulting for civil engineering design teams using Bentley and related platforms.
• Delivered high-quality customer‑centric support, resolving technical issues, providing proactive guidance, and ensuring a positive user experience while supporting large, multi-disciplinary engineering teams.
• Analyzed hardware, software, and workflow dependencies for civil engineering applications, offering expert recommendations that improved performance, compatibility, and operational efficiency.
• Collaborated effectively across teams, applying strong communication, logic, and problem‑solving skills to make decisions that supported engineering business goals and technical objectives.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed