Senior Machine Learning Engineer
Tasks
- Collaborate with ML scientists and software engineers on pipeline requirements
- Develop maintain reproducible DL pipelines
- Document and share best practices across engineering and scientific teams
- Drive performance improvements via profiling optimization and benchmarking
- Implement DL pipelines on distributed computing platforms
- Implement caching solutions and debug distributed systems
- Manage model training data handling model management and inference
- Monitor evaluate and optimize DL training pipelines
Perks/Benefits
Skills/Tech-stack
AWS | Azure | C# | C++ | CI/CD | CUDA | Deep learning | DeepSpeed | Docker | Git | Google Cloud | HDFS | Infrastructure as Code | JAX | Java | Julia | Kubernetes | MLOps | MLflow | Machine Learning | Parquet | PyArrow | PyTorch | Python | Ray | Scikit-learn | Spark | TensorBoard | TensorFlow | Triton | Weights and Biases | XLA | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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