Manager - Data Science
Tasks
- Architect multi GPU execution
- Build GPU enabled workloads on Google Cloud Platform
- Deploy and validate predictive models
- Develop predictive models
- Establish model validation and benchmarking
- Implement CUDA solutions for NVIDIA GPUs
- Integrate C++ and CUDA with Python ML environments
- Optimize GPU computation and memory access
- Own machine learning algorithm design implementation optimization
- Profile and optimize CPU implementations
- Translate mathematical and statistical concepts into algorithms
Perks/Benefits
- Career development
- Comprehensive health benefits
- Leadership development
- Learning opportunities
- Well-being support
Skills/Tech-stack
Algorithms | C++ | CUDA | Cloud platform | Data Structures | Data Visualization | GPU Programming | Google Cloud | Google Cloud Platform | High Performance | High-Performance Computing | Hive | Machine Learning | Multithreading | NVIDIA GPUs | Numerical analysis | Optimization | Parallel Computing | Performance Benchmarking | Performance Computing | Predictive Modeling | Python | R | SQL | Vectorization
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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