Cloud AI/ML Delivery Engineer — Gemini & GCP

Woolpert; Northern (KY); Ibrido; USD 140.000 - 190.000; Tempo pieno

Vantaggi offerti da questo lavoro

Freedom to Work

Ownership path

Flexible PTO

Career development

Health insurance

Retirement plan

Fitness reimbursement

Pet insurance

Identity protection

Technology stipend

Descrizione del lavoro

Woolpert is seeking a Cloud AI/ML Delivery Engineer to join the Cloud Solutions and Interdisciplinary Services (CSIS) team. You will lead client-facing AI/ML delivery, architect Gemini Enterprise solutions on Google Cloud, and drive rapid execution across discovery, design, and deployment.

You will partner with engineers, product owners, and clients to translate business challenges into actionable AI/ML roadmaps and deliver end-to-end solutions with hands-on implementation, testing, and training.

Competenze

• 8+ years in a client-facing AI/ML consulting role.
• Proven AI/ML experience and applications.
• Hands-on work with Gemini Enterprise models and Gemini family.
• Experience with core GCP AI/ML services (Vertex AI, TensorFlow, BigQuery).
• Proficient in at least one programming/scripting language (Python).
• Solid SDLC and Agile practices; familiar with Git, Jira.

Mansioni

• Serve as a hands-on engineering lead for client AI/ML delivery projects.
• Conduct discovery to translate business needs into AI/ML solutions.
• Develop roadmaps and design end-to-end Gemini-based solutions on Google Cloud.
• Collaborate with cross-functional teams to ensure timely project delivery.
• Prototype, test, and deploy AI/ML models with monitoring and training.
• Provide client-facing guidance and knowledge transfer.

Conoscenze

AI/ML consulting

Gemini Enterprise

Vertex AI

TensorFlow

BigQuery

Python

Git

Jira

Kubernetes

Strumenti

Git

Jira

Kubernetes

Descrizione del lavoro

Woolpert is seeking a Cloud AI/ML Delivery Engineer to join the Cloud Solutions and Interdisciplinary Services (CSIS) team. You will lead client-facing AI/ML delivery, architect Gemini Enterprise solutions on Google Cloud, and drive rapid execution across discovery, design, and deployment.

You will partner with engineers, product owners, and clients to translate business challenges into actionable AI/ML roadmaps and deliver end-to-end solutions with hands-on implementation, testing, and training.