Cloud AI/ML Delivery Engineer

Woolpert is an award-winning, global leader in architecture, engineering, and geospatial services. They are seeking a Cloud AI/ML Delivery Engineer to provide hands-on engineering and customer-facing project delivery, focusing on implementing Google AI/ML technologies and collaborating with clients to develop impactful solutions.

Responsibilities:

• 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

Requirements:

• 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