Snowflake GenAI Solutions Lead — Scale ML & MLOps

Accenture

Detroit (MI)

On-site

USD 120,000 - 260,000

Full time

14 days+
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Job summary

Accenture in Detroit is seeking a Snowflake Advanced AI Solution Lead to design, build, and operationalize AI/ML solutions for enterprise clients. You will work on scalable data and MLOps pipelines, combining custom models with cloud AI services to deliver production-ready outcomes.

The role spans model selection, training, deployment, monitoring, and collaboration with business and technical teams to achieve client goals.

Qualifications

  • Minimum 5 years as ML engineer or scientist deploying models in production at scale.
  • Minimum of 2 years experience with Snowflake Cortex AI.
  • Minimum 3 years experience in distributed computing systems and cloud environments.
  • Bachelor's degree or equivalent work experience (12 years).

Responsibilities

  • Formulate real-world problems into practical, scalable AI solutions.
  • Develop and implement ML models and data pipelines for training and production.
  • Customize Deep Learning and Gen AI models for business needs.
  • Research new AI and HPC algorithms for client applications.
  • Work with large-scale datasets and preprocessing for high-quality inputs.
  • Implement and maintain data storage and retrieval for models.
  • Justify model approaches in business terms.
  • Collaborate with cross-functional teams to productionize solutions.

Skills

Snowflake Cortex AI
Machine Learning
Distributed computing
Python
Cloud platforms
Big data
LLMOps
Data pipelines
Communication

Education

Bachelor's degree
MS or PhD preferred

Tools

TensorFlow
PyTorch
SQL
Java
C++

Job description

Accenture in Detroit is seeking a Snowflake Advanced AI Solution Lead to design, build, and operationalize AI/ML solutions for enterprise clients. You will work on scalable data and MLOps pipelines, combining custom models with cloud AI services to deliver production-ready outcomes.

The role spans model selection, training, deployment, monitoring, and collaboration with business and technical teams to achieve client goals.

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