Senior ML/Data Engineer

Summary

Senior ML/data engineer with experience in financial forecasting and machine autonomy
domains.
HIGHLIGHTS
Development and optimization of ML models (Keras, Tensorflow, PyTorch, Scikit-learn).
Design and performance tune-up of HPC/data/training pipelines (Spark, Hive, HDFS).
Experience working in business oriented R&D environment.
SKILLS
Languages: Python, C/C++, CUDA, SQL.
ML frameworks: Tensorflow, Keras, PyTorch.
HPC/data tech-stack: Spark, Hive, HDFS
Tools/Libraries: Numpy, Scipy, Scikit-learn, Pandas, Statsmodels, STL, Boost, Eigen, OpenCV,
CuDNN, Git, Phabricator, etc.

Expectations

Professional collaborative environment. No political games. Responsibility for own work.

Work in United States
Employment Preferences
Expected Base Salary

**0,000 USD

Expected Hourly Rate

**0 USD

Academic Degree
Experience

Total Professional Experience

20 years

Startup Experience

8 years

Big-Tech Companies

no experience

Enterprise Experience

12 years
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