Snowflake AI Engineer: Gen AI & MLOps Specialist

Accenture

Mountain View (CA)

On-site

USD 70,000 - 206,000

Full time

14 days+
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Life insurance
Long-term disability
401(k)
Bonus opportunities
Paid holidays
Paid time off

Job summary

Accenture is hiring a Snowflake Advanced AI Engineer in the United States. You will design and operationalize AI/ML solutions, combining custom models with cloud services for production-ready outcomes.

You will build scalable data and MLOps pipelines, choose and customize models, and ensure reliability of deployed systems across client projects. You will work with cross-functional teams, engage in research, and tackle real-world business problems involving large datasets, edge devices, and HPC

Qualifications

  • Minimum 2 years hands-on experience with Snowflake Cortex AI and Cortex tools.
  • Minimum 3 years as ML engineer/scientist deploying models in production at scale.
  • Experience with distributed computing, big data, HPC, or cloud-based simulations.
  • Building and deploying AI/ML software to cloud environments.

Responsibilities

  • Formulate real-world problems into scalable AI/ML solutions.
  • Develop and implement ML models, data pipelines, and MLOps practices for production.
  • Customize DL/Gen AI models for business needs and edge/HPC contexts.
  • Research new AI algorithms and apply them to client problems.
  • Work with large-scale datasets and robust data preprocessing.
  • Maintain efficient data storage/retrieval for models and knowledge.

Skills

Snowflake Cortex AI
Gen AI
Machine learning
Distributed computing
Python
Cloud deployment

Education

Bachelor's degree or equivalent
MS or PhD preferred

Tools

TensorFlow
PyTorch
Python
SQL

Job description

Accenture is hiring a Snowflake Advanced AI Engineer in the United States. You will design and operationalize AI/ML solutions, combining custom models with cloud services for production-ready outcomes.

You will build scalable data and MLOps pipelines, choose and customize models, and ensure reliability of deployed systems across client projects. You will work with cross-functional teams, engage in research, and tackle real-world business problems involving large datasets, edge devices, and HPC

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