Senior ML Engineer - RAG, VertexAI Solutions

OREGON EMPLOYMENT DEPARTMENT - Beaverton, OR

Part-time - Senior

Beaverton, OR

About the position

The Senior ML Engineer - RAG, VertexAI Solutions at Accenture is responsible for designing, developing, and deploying advanced machine learning solutions using Google Cloud's Vertex AI platform. This role focuses on Retrieval Augmented Generation (RAG) models and agent frameworks, requiring a technical leader who can translate complex business needs into scalable AI solutions. The position offers opportunities for innovation and collaboration within a diverse team, contributing to exciting client initiatives in the technology landscape.

Responsibilities

• Design, develop, and deploy machine learning models using Vertex AI to solve complex problems.
• Work on RAG models and Agent Frameworks to enhance GenAI solutions by incorporating relevant information retrieval mechanisms and frameworks.
• 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.
• Fluency in Python.
• Demonstrate 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.
• Collaborate with data engineers, software developers, and business stakeholders to understand search requirements and deliver solutions accordingly.
• 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.

Requirements

• Proven track record in building and deploying GenAI solutions.
• Deep understanding of machine learning frameworks and cloud technologies.
• Experience with open source tools for developing and maintaining ML systems.
• Strong knowledge of Python programming.