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AI/ML Engineer

Woolpert, Inc.

Dayton, OH · HybridJobSeen 4 days agoSeen in employer's feed today

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At a glance

Compensation
No compensation found
Location
Dayton, OHHybrid
Work Authorization
Not specified

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Job overview

Woolpert seeks a Cloud AI/ML Delivery Engineer for its Cloud Solutions and Interdisciplinary Services team, supporting client-facing project delivery in the Digital Innovations market. The role researches and implements Google AI/ML technologies, including Gemini Enterprise, and contributes technical leadership from discovery through solution development, testing, and user training. The position is hybrid, based in a U.S. office, with flexibility to work from home. Visa sponsorship is unavailable.

Skills & qualifications

RequiredNice to have

Skills

AI/ML TechnologiesGemini ModelsGoogle Cloud PlatformVertex AITensorFlowBigQueryCloud StorageDataflowProgrammingAI/ML LibrariesSDLCAgileGitJiraCommunicationCollaborationClient ConsultingGoogle Cloud Services

Qualifications

8+ Years Customer-Facing Consulting Experience

Full job description

We seek to move the world forward through innovative thinking. Woolpert is an award-winning, global leader in architecture, engineering, and geospatial services. We blend design excellence with cutting-edge technology to deliver exceptional client value. Our team is passionate about their work and committed to building the next generation of industry leaders, and as a certified Great Place to Work, Woolpert embraces progress and innovation to create limitless opportunities for career growth. Position Overview Woolpert is hiring a Cloud AI/ML Delivery Engineer to join our dynamic Cloud Solutions andInterdisciplinaryServices (CSIS) team. This position reports to theCloud Engineering Leadand is responsible for providing hands-on engineering andcustomer-facing project delivery, supporting the Digital Innovations market.The successfulCloudAI/ML DeliveryEngineer will researchand implementrapidly evolvingGoogleAI/MLtechnologies(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,solutionsarchitects,back-end/front-enddevelopers to drive successful project delivery for our clientsand 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. What You Will Bring: - 8+ years of experience in customer facing consulting role. - Proven experience with AI/ML technologies and applications. - Proven experienceinutilizingthe 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. Preferred Qualifications: Hands on experience with Google Cloud Servicessuch as Vertex AI, TensorFlow,BigQuery, Cloud Storage,

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