Senior Snowflake AI & MLOps Solution Lead

Accenture; Walnut Creek (CA); On-site; USD 94,000 - 294,000; Full time

Job summary

Accenture is seeking a Snowflake Advanced AI Solution Lead to design, build, and operationalize AI/ML solutions for enterprise clients, spanning model selection, data pipelines, and MLOps for production-ready outcomes.

The role involves transforming real-world problems into scalable AI solutions, collaborating with business and technical teams, and delivering end-to-end projects with a focus on value and reliability. Travel may be required.

Qualifications

• Minimum of 2 years of hands-on Snowflake Cortex AI work across Cortex agents, cortex search, cortex analyst.
• Minimum of 5 years as ML engineer or scientist deploying models in production at scale.
• Minimum of 5 years of CS foundations including architecture, systems engineering and programming.
• Minimum of 3 years in distributed computing and big data/cloud compute.
• Minimum of 2 years building/deploying AI/ML software to a cloud environment.
• Bachelor's degree or equivalent work experience

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop and implement ML models and data pipelines with DevOps & MLOps.
• Customize DL/GenAI models for business use cases.
• Engage in R&D of new AI/compute algorithms and simulations at client sites.
• Work with large-scale datasets and preprocess data for training/production.
• Ensure efficient storage/retrieval for models and knowledge.
• Justify model approaches for business value.
• Collaborate with cross-functional teams to deliver end-to-end projects

Skills

Snowflake Cortex AI

ML engineering

Distributed computing

Communication skills

Education

Bachelor's degree

Tools

Python

TensorFlow

PyTorch

Job description

Accenture is seeking a Snowflake Advanced AI Solution Lead to design, build, and operationalize AI/ML solutions for enterprise clients, spanning model selection, data pipelines, and MLOps for production-ready outcomes.

The role involves transforming real-world problems into scalable AI solutions, collaborating with business and technical teams, and delivering end-to-end projects with a focus on value and reliability. Travel may be required.