Machine Learning Engineer 4
Tasks
- Apply ML innovations to products
- Build and optimize feature pipelines
- Build and train deep learning models from scratch
- Collaborate with data science and product teams
- Deploy and monitor production ML systems
- Implement MLOps practices
- Improve inference performance
- Mentor junior engineers
- Own model training stack
- Train large models on GPU infrastructure
Perks/Benefits
- N/A
Skills/Tech-stack
Attention Mechanism | Automated retraining | CI/CD | Checkpointing | DDP | Databricks | Deep learning | Distributed Training | Efficient Attention | Experiment tracking | FSDP | Feature Engineering | GPU Training | Gradient Accumulation | Inference Optimization | MLOps | Mixed Precision | Mixed-precision training | Model versioning | Production Monitoring | PyTorch | Python | Spark | TensorFlow | Transformer
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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