Google Cloud GenAI Developer

OREGON EMPLOYMENT DEPARTMENT - Beaverton, OR

Part-time

Beaverton, OR

About the position

The Google Cloud GenAI Developer at Accenture is responsible for designing, implementing, and managing advanced Generative AI solutions on the Google Cloud Platform (GCP). This role involves collaborating with various teams to understand client needs and translating them into effective AI solutions, while also leading technology innovation for clients. The position offers opportunities for growth and advancement within a diverse and inclusive culture.

Responsibilities

• Develop and implement GenAI solutions, collaborating with cross-functional teams, and supporting the successful execution of AI projects for a diverse range of clients.
• Experience developing and maintaining ML systems built with open source tools.
• Conduct model tuning and optimization to improve model accuracy, efficiency, and robustness.
• Demonstrate fluency in Python.
• Show deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn.
• Develop and optimize search models, pipelines, and workflows for efficient data retrieval and relevance ranking.
• Utilize Google Vertex AI AutoML capabilities to build custom search models for specific use cases.
• Integrate VertexAI search functionalities into existing applications and systems, ensuring seamless user experiences.
• Implement best practices for data indexing, query optimization, and performance tuning within the Google Vertex AI framework.
• Monitor, analyze, and optimize data platform performance to ensure optimal efficiency and cost-effectiveness.
• Stay updated on the latest GCP data technologies, evaluating and recommending their adoption within the organization.
• Work collaboratively with data engineers, data scientists, business analysts, and other stakeholders to understand requirements and deliver optimal solutions.
• Develop clear and comprehensive documentation, including architectural diagrams, design specifications, and operational guidelines.

Requirements

• Deep understanding of Generative AI models and MLOps principles.
• Broad set of technology skills with the ability to design solutions using GCP and third-party technologies.
• Experience with ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn.
• Fluency in Python.