Senior ML Engineer - RAG, VertexAI Solutions

Accenture - Florham Park, NJ

Full-time - Senior

Florham Park, NJ

Professional, Scientific, and Technical Services

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 collaboration with various teams to translate complex business needs into scalable AI solutions. The position offers an opportunity to lead technology innovation and contribute to exciting client initiatives in a dynamic 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.
• 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.
• 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

• Proven track record in building and deploying GenAI solutions.
• Deep understanding of machine learning frameworks and cloud technologies.
• Fluency in Python.
• Experience with ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn.

Nice-to-haves

• Experience with Google Cloud Platform (GCP) technologies.
• Familiarity with data indexing and query optimization techniques.

Benefits

• Opportunities for career growth and advancement.
• Inclusive culture that values diversity.
• Access to a network of technology experts.