Machine Learning Engineer - II
Tasks
- Architect large scale foundation model pipelines
- Collaborate with applied researchers and engineers
- Design and develop generative AI backend services
- Develop test strategies
- Lead and mentor junior team members
- Optimize GPU efficient model pipelines
- Prioritize model optimization experiments
- Research new machine learning and MLOps technologies
- Review and provide feedback on features and architectures
Perks/Benefits
- N/A
Skills/Tech-stack
CUDA | Diffusion Models | Docker | GAN | GPU Optimization | Generative AI | MLOps | Machine Learning | Model Optimization | Model Training | Model pipeline | PyTorch | TensorFlow | TensorRT | Transformer Models | Triton
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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