2 model deployment engineer jobs at 2 companies in Vancouver, WA

1mo
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Senior Machine Learning Operations Engineer
San Francisco or New York City or Portland or United States or Canada
$167k-$208k/yr HybridFull Time
Mercury
Mercury: Banking services and financial software designed for startup companies.
5+ YOE5+ years in ML engineering/MLOps or backend engineering; production ML service experience; strong Python and API framework skills (FastAPI/Flask); model deployment, CI/CD, registries, observability, SQL, low-latency stores, and streaming pipelines.
Python, FastAPI, Flask, SHAP, SQL, Redis, DynamoDB, Kafka, Kinesis, Redpanda, Snowflake, dbt, Dagster, Airflow, Haskell, React, TypeScript
3d
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Snowflake Advanced AI Engineer,
San Francisco or Milwaukee or Dallas or Columbus or Kirkland or Cincinnati or New York City or Cleveland or Oklahoma City or Austin or Albany or Chicago or St. Petersburg or Hartford or Pittsburgh or St. Louis or Miami or Sacramento or Raleigh or Minneapolis or Mountain View or Scottsdale or Morristown or Denver or Boston or Philadelphia or Des Moines or Overland Park or Los Angeles or Charlotte or Walnut Creek or Carmel or Seattle or Houston or Arlington or Atlanta or Redmond or Bentonville or Beaverton or Nashville or Detroit or San Diego
$70k-$206k/yr HybridFull Time
Accenture
AccentureNYSE: ACN: Global provider of management consulting and technology services.
3+ YOERequires 2+ years with Snowflake Cortex AI, 3+ years deploying machine learning models, 3+ years in computer science and programming, cloud AI/ML deployment, and a bachelor's degree or equivalent experience.
Snowflake Cortex AI, Cortex Agents, Cortex Analyst, Cortex Search, Deep Learning, Generative AI, Large Language Models, DevOps, MLOps, LLMOps, Python, TensorFlow, PyTorch, C++, Java, R, SQL