Position: AI / Machine Learning Engineer (onsite)
Information Technology / Telecommunications
- Austin, Texas
- Temp Project
14503
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.
Required
- Availability to work 4 days at the Client’s site in Austin, TX (required)
- Experience with support of Micro Station / Project Wise / Open Roads 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)
Preferred
- 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 Sage Maker/Bedrock, GCP Vertex AI, OCI AI Services)
- Dev Ops – Docker and Kubernetes experience
- Databases – SQL (Postgre
SQL, MySQL) and No
SQL/vector databases
- Scripting – Experience in both Bash and Power Shell for automation
- Command Line Interface (CLI) – 1-3+ years production experience working in CLI terminal
- CI/CD
Experience:
Azure Dev Ops, Git Hub Actions, Jenkins, or similar automation pipelines
Production CV experience with PyTorch/Tensor Flow, 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 Micro Station, Project Wise, and Open Roads 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.
If this job is not for you, earn a $2,100.00 referral bonus in cashby referring a Candidate.
Vitaver & Associates, Inc. dba Vitaver Staffing
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