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# Ai/Ml Engineer

- **Company:** Woolpert, Inc.
- **Location:** Myrtle Point, OR, United States
- **Experience:** Expert
- **Salary:** $118,200 - $147,800
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, JIRA, BigQuery, Cloud Computing, Cloud Engineering, Cloud Storage, ECMAScript, Data Flow Control, Design of User Interfaces, Human-Computer Interaction, Identity and Access Management, Python (Programming Language), Machine Learning, Node.Js, Systems Development Life Cycle, Cloud Services, Tensorflow, Gemini Enterprise (Agent Platform), Security Information and Event Management, Software Engineering, Scripting, Google Cloud, Feature Engineering, Data Ingestion, Git, AI Platforms, Scikit Learn, Data Management, Google Gemini
- **Published:** November 14, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-ml-engineer-myrtle-point-or--bb2a5c37-c581-4347-9a0a-a7f0e83d21c0

## About the Role

Artificial Intelligence (AI), Software Engineering, Artificial Intelligence (AI), Canadian Security Intelligence Service (CSIS), Cloud Computing, Customer Relations, Technical Leadership, Team Lead/Manager, User Interface/Experience (UI/UX), Team Player, * 8+ years of experience in customer facing consulting role.

 * Proven experience with AI/ML technologies and applications.
 * Proven experience in utilizing the Gemini family of models, spanning from integration and customization of Gemini Enterprise solutions to hands-on development and fine-tuning of custom Gemini models.
 * Hands-on experience with core GCP services relevant to AI/ML, such as Vertex AI, TensorFlow, BigQuery, Cloud Storage, and Dataflow.
 * Demonstrated proficiency in at least one programming language or scripting language (Python, NodeJS/ES6, etc) and associated AI/ML libraries and frameworks.
 * Solid understanding of SDLC and Agile software development methodologies and tools related to team software development (e.g. Git, Jira, etc.).
 * Strong communication and collaboration skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences., * Hands on experience with Google Cloud Services such as Vertex AI, TensorFlow, BigQuery, Cloud Storage, and Dataflow.
 * Google Cloud Platform professional certifications
 * Professional services experience, designing and delivering large enterprise solutions
 * Knowledge of security and IAM tools and principles

## Description

Woolpert is hiring a Cloud AI/ML Delivery Engineer to join our dynamic Cloud Solutions and Interdisciplinary Services (CSIS) team. This position reports to the Cloud Engineering Lead and is responsible for providing hands-on engineering and customer-facing project delivery, supporting the Digital Innovations market. The successful Cloud AI/ML Delivery Engineer will research and implement rapidly evolving Google AI/ML technologies (including Gemini Enterprise), frameworks, tools, and approaches. This position is client-facing and focused on successful project delivery, including providing technical leadership for your project team, collaborating during discovery activities, developing technical solutions, hands-on delivery, testing, and user training.

Please note this is a Hybrid job. We are looking for a candidate willing to work in one of our many US-based offices and have the flexibility to work for home as well

We are unable to provide visa sponsorship for this position. Applicants must already possess work authorization in the country the job is located.

What You Will Do:

 * Key member of the engineering team, working with client engineering teams, product owners, solutions architects, back-end/front-end developers to drive successful project delivery for our clients and solutions.
 * Perform client and project discovery activities to understand business and technical requirements, success metrics, and solution architecture.
 * Act as a trusted advisor to clients, understanding their business challenges and translating them into actionable, high-impact AI/ML solutions.
 * Develop clear, compelling AI/ML roadmaps and strategies that align with client goals and maximize the use of Google Cloud's AI and data capabilities.
 * Design and implement end-to-end AI/ML solutions on Google Cloud Platform, including data ingestion, feature engineering, model training, deployment, and monitoring.
 * Work closely with cross functional team members to drive successful delivery of client projects as well as establish repeatable processes and best practices in a professional services organization.