3 tensorflow jobs at 3 companies in Anacortes, WA

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Data Scientist, Principal
Oakland or Washington or Ohio or District of Columbia or California or Long Beach or Arizona or Colorado or Connecticut or Florida or Georgia or Maryland or Minnesota or Nevada or Oregon or El Dorado Hills or San Diego or Woodland Hills or Alabama or Illinois or Virginia or Wisconsin or Texas or New York
$182k-$273k/yr HybridFull Time
Ascendiun
Ascendiun: Nonprofit parent overseeing health insurance and clinical service organizations.
8+ YOEAdvanced experience in applied AI/ML and software development, strong Python engineering, hands-on with deep learning and LLM frameworks, experience building production AI applications and leading ML design.
Python, PyTorch, TensorFlow, LangChain, LangGraph, SQL, Spark, Azure, Google Cloud, AWS
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LSO GEO 3A - Mineral Potential Geoscientist
Victoria, British Columbia, Canada
$85k-$109k/yr HybridFull Time
BC Liquor Distribution Branch
BC Liquor Distribution Branch: Government agency managing alcohol and cannabis distribution in British Columbia.
3+ YOEDegree in geoscience (MSc+3yrs or BSc+5yrs), 2+ years numeric/statistical modelling, mineral potential assessment experience, P.Geo registration (or immediate eligibility), GIS and spatial DB experience.
ArcGIS Pro, QGIS, FME, PostgreSQL/PostGIS, SQL Server, Oracle, GDAL/OGR, rasterio, GeoPandas, shapely, pyproj, R, SciPy, NumPy, pandas, MATLAB, scikit learn, TensorFlow, PyTorch, XGBoost, LightGBM, PySAL, gstat, SciKit-GStat, matplotlib, seaborn, ggplot2
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Senior Data Scientist
Richmond, British Columbia, Canada
$144k-$165k/yr OnsiteFull Time
Wenco International Mining Systems
Wenco International Mining Systems: Provides digital fleet management and safety systems for mining operations.
Bachelor's or Master's in related field, proven data science experience (mining/heavy industry preferred), proficiency in Python/R and ML frameworks, experience with big data, data visualization, and strong communication skills.
pandas, NumPy, scikit-learn, TensorFlow, PyTorch, SHAP, Hadoop, Spark, Snowflake, SQL, NoSQL, Tableau, Power BI, D3.js, Git, AWS, Azure, Google Cloud