Senior ML Engineer
Tasks
- Conduct distributed GPU and TPU training
- Deploy machine learning models in production
- Develop natural language processing models
- Develop vision model pipelines
- Document model architectures and methodologies
- Fine-tune large language models
- Integrate models into healthcare systems
- Mentor junior engineers and data scientists
- Perform model testing validation and tuning
- Prompt engineer large language models
Perks/Benefits
- 401k
- Dental insurance
- Disability insurance
- Employee assistance program
- Health insurance
- Vision insurance
Skills/Tech-stack
Amazon SageMaker | Azure ML | Computer Vision | Data Pipelines | Deep learning | Distributed Training | Fine Tuning | GPU Training | Hyperparameter Optimization | Kubeflow | LLMOps | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Machine Learning | Model Optimization | Natural Language | Natural Language Processing | OpenCV | PyTorch | Python | TPU Training | TensorFlow
Education
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